DEVICE AND METHODS FOR TISSUE MOLECULAR PROFILING USING ELECTROPORATION BASED MOLECULAR EXTRACTION

Information

  • Patent Application
  • 20220362548
  • Publication Number
    20220362548
  • Date Filed
    July 18, 2020
    5 years ago
  • Date Published
    November 17, 2022
    3 years ago
Abstract
Methods and devices obtain cellular-component, e.g., proteins, RNA, DNA, metabolites, and combinations of these, from a solid tissue in-vivo using electroporation, and subsequently profile such tissue either inside or outside the subject's body. A method for determining if a solid tissue of a subject includes a benign or malignant tumor, or if a space occupying lesion (SOL) within the solid tissue is malignant or benign, includes placing at least one electroporation-electrode within the solid tissue, or within the SOL or in proximity thereto; applying pulsed electric field (PEF) via the at least one electroporation-electrode to thereby induce permeabilization of cells of the solid tissue or the SOL, and consequently release of at least one cellular-component therefrom to an extracellular matrix between and surrounding the cells; extracting the at least one cellular-component from the extracellular matrix.
Description
FIELD OF THE INVENTION

The present invention relates to devices and methods for obtaining molecules from a solid tissue using electroporation in-vivo or ex-vivo, and profiling such tissue thereafter.


BACKGROUND

Personalized medicine is the optimization of care on an individual basis. Personalized medicine, based on molecular profiles of tumors and other tissues, has greatly developed over recent decades. In cancer therapy and care, a clear potential in several cases was demonstrated for the personalized approach as compared to traditional therapies. A critical component of a successful therapy tailoring for a subject is a careful diagnosis. An important component of molecular diagnoses in disease tissues, including tumors, is the profiling of DNA, RNA, proteins, metabolites, or any combination thereof, to identify molecular biomarkers that are predictive of subject response. To enable disease profiling, current methods use tissue biopsy, which involves resection of a small tissue sample, a procedure which leads to, e.g., localized tissue injury, bleeding, inflammation, neural damage, fracture, and stress, increasing the potential for tumor growth and metastasis. The impact of this stress on the tissue behavior is not well understood. In addition, only a few biopsies can be performed at a time, limiting the spatial mapping of the sampled site. Some authors even concluded that due to tumor heterogeneity, information from a single biopsy is not sufficient for guiding treatment decisions.


It was recently determined that the current technology's limited support for characterizing tumor molecular heterogeneity is a major limitation of the personalized medicine approach in cancer. Significant genomic evolution that often occurs during cancer progression, creating variability within primary tumors as well as between the primary tumors and metastases. Indeed, recent studies show that a positive result (both successful biopsy and molecular characterization) appear to reliably indicate the presence of a high-risk disease. However, a negative result does not reliably rule out the presence of high-risk disease also because a harvested tissue sample did not capture the most lethal clone of a given tumor (Tosoian et al., 2017). Although improvement of the molecular characterization increased remarkably in the recent decade because of the entrance of new high-resolution sequencing and bioinformatics methods, these technologies remain limited by tissue sampling methods. Thus, tissue sampling remains a curtail limitation to the ability to accurately tailor the therapy to subjects, and therefore, new approaches to molecularly probe and characterize several regions in the tumor are called for.


Electroporation-based technologies have been successfully used to non-thermal irreversible and reversibly change permeabilization of the cell membrane in-vivo, enabling a wide set of applications ranging from tumor ablation to targeted molecules delivery to tissues. Protocols for targeted delivery of electric field to tissues to induce focused electroporation at a predetermined region in organs were previously developed. More recently, it was shown that electroporation technologies selectively extract proteins and ash from biomass. Although electroporation has been used to deliver molecules to tissues and to ablate multiple tumors and metastasis, to the best of our knowledge it has not been proposed to extract molecules for tissue profiling, including tumors.


Accordingly, a need exists for an improved tissue profiling for the identification and evaluation of a cancerous tumor in order to enable precise therapies tailoring. The present invention addresses all the above problems and more, and provides a novel approach for tissue sampling with molecular biopsy using electroporation.


SUMMARY OF INVENTION

The present invention generally provides a method for determining a cellular-components' profile of a solid tissue of a subject, i.e., a profile of proteins, RNA, DNA, and/or metabolites characterizing said solid tissue, as means for identifying or characterizing abnormality of, or within, said tissue, or a disease state of the subject, e.g., at a remote tissue thereof. The method disclosed is thus useful for differentiating between a normal and a diseased tissue, e.g., a tumor, and furthermore for determining heterogeneity of said tissue. Specifically, said method comprises: (i) placing at least one electroporation-electrode within said solid tissue, or in proximity thereto; (ii) applying a pulsed electric field (PEF) via said at least one electroporation-electrode to induce permeabilization of cells of said solid tissue, and consequently release of at least one cellular-component therefrom to an extracellular matrix between and surrounding said cells; (iii) extracting said at least one cellular-component from said extracellular matrix; and (iv) identifying/analyzing the at least one cellular-component extracted so as to identify/determine abnormality of, or within, said solid tissue, e.g., the presence and type of a tumor within said tissue, or the presence of a disease state of the subject.


In one specific aspect, the invention provides a method for determining if a solid tissue of a subject comprises a benign or malignant tumor, or if a space occupying lesion (SOL) within said solid tissue is malignant or benign, said method comprising: (i) placing at least one electroporation-electrode within said solid tissue, or within said SOL or in proximity thereto; (ii) applying a PEF via said at least one electroporation-electrode to thereby induce permeabilization of cells of said solid tissue or said SOL, and consequently release of at least one cellular-component therefrom to an extracellular matrix between and surrounding said cells; (iii) extracting said at least one cellular-component from said extracellular matrix; and (iv) identifying/analyzing the at least one cellular-component extracted so as to identify/determine the presence and type of the tumor within said solid tissue or determine if said SOL is malignant or benign.


As disclosed herein, identification/analysis of the at least one cellular-component extracted in step (iv), so as to identify/determine (a) abnormality of, or within, said solid tissue, or the presence of a disease state of the subject; or (b) the presence and type of the tumor within said solid tissue or determine if said SOL is malignant or benign, may be carried out either within said at least one electroporation-electrode, i.e., in-vivo, or outside the subject's body (in-vitro), e.g., after removal of said at least one electroporation-electrode.


The present invention thus generally further relates to a method for determining a cellular-components' profile of a solid tissue of a subject, i.e., a profile of proteins, RNA, DNA, and/or metabolites characterizing said tissue, as means for identifying or characterizing abnormality of, or within, said tissue, or a disease state of the subject, e.g., at a remote tissue thereof, said method comprising analyzing/identifying in-vitro at least one cellular-component extracted from cells of said solid tissue, characterized in that said at least one cellular-component has been extracted from said cells in-vivo, by applying a PEF within said solid tissue or in proximity thereto, and consequently releasing said at least one cellular-component therefrom to an extracellular matrix between and surrounding said cells.


In a second specific aspect, the invention thus relates to a method for determining if a solid tissue of a subject comprises a benign or malignant tumor, or if a SOL within said solid tissue is malignant or benign, said method comprising analyzing/identifying in-vitro at least one cellular-component extracted from cells of said solid tissue or SOL, characterized in that said at least one cellular-component has been extracted from said cells in-vivo, by applying a PEF within said solid tissue, or within said SOL or in proximity thereto, and consequently releasing said at least one cellular-component therefrom to an extracellular matrix between and surrounding said cells.


In a third aspect, the present invention provides a device for the extraction of at least one cellular-component from cells of a solid tissue of a subject and/or from cells of a SOL within said solid tissue, for determining (a) a cellular-components' profile of said tissue, i.e., a profile of proteins, RNA, DNA, and/or metabolites characterizing said tissue, as means for identifying or characterizing abnormality of, or within, said tissue, or a disease state of the subject; or (b) if said solid tissue comprises a benign or malignant tumor, or if said SOL is malignant or benign, said device comprising: (i) at least one electroporation-electrode designed to be associated with an electric generator, and to generate a PEF; and (ii) a cellular-components extraction-element, wherein upon introducing said at least one electroporation-electrode into said solid tissue, or into said SOL or in proximity thereto, and applying a PEF, said PEF induces permeabilization of said cells and consequently said at least one cellular-component exits to an extracellular matrix between and surrounding said cells, and is then extracted by said extraction-element.





BRIEF DESCRIPTION OF THE DRAWINGS


FIGS. 1A-1F illustrate a protocol for molecular harvesting using electroporation from normal liver and kidney in mouse: FIG. 1A is a schematic protocol; FIG. 1B shows the differential expression of genes detected with RNA extracted with electroporation molecular harvesting in mouse liver and kidney (n=6); FIG. 1C is a histogramm of PEF extracted kidney proteins with iBAQ>107; FIG. 1D is a histogramm of PEF extracted liver proteins with iBAQ>107; FIGS. 1E-1F are skewness and kurtosis plots of MW from kidney and liver, respectively.



FIG. 2 is an annotation of identified proteins to processes. The annotation was done on all identified proteins by GOrilla (Eden et al., 2009) using a ranked by the LFQ_liver-LFQ_Kidney list.



FIGS. 3A-3C are pictures of liver tissue: FIG. 3A is a digital image of an excised liver with HepG2 tumor; FIG. 3B is an image of hematoxylin and eosin (H&E) staining of the tumor area; and FIG. 3C is an image of H&E of the normal liver area.



FIGS. 4A-4B illustrate a protocol for molecular harvesting using electroporation from normal liver and HepG2 tumor model in mouse: FIG. 4A is a schematic protocol; and FIG. 4B shows the differential expression of genes detected with RNA extracted with electroporation molecular harvesting in mouse liver and the HepG2 tumor (n=6).



FIG. 5 is an annotation of identified proteins to processes. The annotation was done on all identified proteins by GOrilla using a ranked by the LFQ_tumor-LFQ_liver list.



FIG. 6 is schematics of liquid harvesting from a tissue using only a liquid phase.



FIG. 7 is a schematic description of a harvesting needle according to some embodiments of the invention.



FIG. 8 is a schematic design of a needle electroporation-electrode with opening head according to some embodiments of the invention.



FIG. 9 is schematics of liquid harvesting from a tissue using an adsorbing pad/coating located on the electroporation-electrode.



FIG. 10 is an illustration of placing two electroporation-electrodes within a solid tissue.



FIGS. 11A-11D illustrate an in-vivo procedure for molecular harvesting using e-biopsy with electroporation: FIG. 11A is a schematic illustration of the procedure; FIGS. 11B-11D are images of the e-biopsy procedure showing the needle insertion into the tumor and normal breast (FIG. 11B); the samples locations—2 samples were taken from center, middle and periphery (FIG. 11C); and the areas from which the control samples were taken for proteins extraction using standard lysis buffer (FIG. 11D).



FIG. 12 is a graph showing spearman values of a correlation between duplicate sampling of 4782 proteins by e-biopsy from peripheral, middle and center of the 4T1 tumor in 5 mice in-vivo.



FIG. 13 is a scatter plot of in-vivo e-biopsy vs. Lysis buffer extraction of 4782 proteins ex-vivo in peripheral, middle and center locations of 4T1 tumors in 5 animals. Average values for duplicates of e-biopsy samples for each location are shown.



FIGS. 14A-14C are GoRilla of differential expression of: C vs. NB (FIG. 14A); M vs. NB (FIG. 14B); and P vs. NB (FIG. 14C). FIGS. 14D-14F are overabundance plot of differential expression of: C vs. NB (FIG. 14D); M vs. NB (FIG. 14E); and P vs. NB (FIG. 14F). Total five mice and 4782 per sample analyzed.



FIGS. 15A-15C are GoRilla of differential expression of intratumor proteome heterogeneity of: C vs. P (FIG. 15A); C vs. M (FIG. 15B); and M vs. P (FIG. 15C). FIGS. 15D-15F are overabundance plot of differential expression of: C vs. P (FIG. 15D); C vs. M (FIG. 15E); and M vs. P (FIG. 15F).





DETAILED DESCRIPTION

Molecular extraction is a starting point in any molecular diagnostic assay. Relative procedures include tissue disruption, cell lysis, sample pre-fractionation, and separation. Although chemical, enzymatic and mechanical methods, including grinding, shearing, beating, and shocking for tissue permeabilization to support molecular extraction are well developed, the extraction of molecules at the point of care is still very challenging. In addition, most of the current methods are very low-throughput, require individual sample manipulation and are not suitable for rapid extractions. The latter is often required when the sample is sensitive and degrades rapidly.


To address these challenges, electric fields have been investigated in the recent decade for enhancing molecular extraction. High-voltage, pulsed electric fields that lead to tissue electroporation is a specific example of these emerging technologies based on electric fields. Previous works already showed use of electroporation for extracting genomic DNA, RNA, and proteins from cells and tissues ex-vivo. However, there is no work that reported on biomolecules extraction from tissues that support differentiation expression analysis, as shown in this work.


The present invention provides electroporation-biopsy (e-biopsy) procedure protocols to obtain molecular profiles of cellular components, e.g., RNA and proteins, obtained through this procedure. In particular, it is shown that e-biopsy extraction of RNA and proteins from HepG2 liver tumor in mice, normal mice liver and normal mice kidney are tissue specific. This new procedure is substantively different from known needle or liquid biopsy tissue characterization, and is expected to overcome various problems of sampling for diagnostics and, thus, enable a new type of diagnostic approach by creating tissue molecular profiling.


E-biopsy for tissue characterization is substantially different from needle or other excision biopsies (with the associated risks as described above), as well as from liquid biopsy (which only sees an average profile and cannot provide sub-clonal information). The present approach, when used in combination with in-situ electroporation-electrodes, provides access to molecular markers from volumes of tissues larger than the used needles, thus expanding the opportunity for capturing clones variations. Furthermore, due to its minimally invasive nature, it leads to enabling multiple sampling and thereby high resolution spatial molecular cartography of tissues.


Accordingly, the present invention provides a method for extracting cellular components, e.g., proteins, RNA, DNA, and/or metabolites, from cells of a solid tissue—either in-vivo or ex-vivo—and using same for determining a cellular-components' profile of said tissue as means for identifying or characterizing: (a) abnormality of, or within, said tissue; (b) a disease state of the subject, e.g., at a tissue other than that directly tested; or (c) presence of a heterogeneity within the tested tissue. Accordingly, the method can be used to differentiate between a normal and a diseased tissue, e.g., a tumor, and furthermore to determine molecular heterogeneity of such a diseased tissue. The method is based on the extraction of the cellular components from cells of the tested tissue using e-biopsy, and comprises: (i) placing at least one electroporation-electrode within said solid tissue, or in proximity thereto; (ii) applying a PEF via said at least one electroporation-electrode to induce permeabilization of cells of said solid tissue, and consequently release of at least one cellular-component therefrom to an extracellular matrix between and surrounding said cells; (iii) extracting said at least one cellular-component from said extracellular matrix; and (iv) identifying/analyzing the at least one cellular-component extracted so as to identify/determine the presence and type of abnormality within said solid tissue or identify/determine the presence of a disease state of the subject.


In a specific such aspect, the present invention provides a method as defined above, for determining if a solid tissue of a subject comprises a malignancy, or if a SOL within such solid tissue is malignant, i.e., for determining if said solid tissue comprises a benign or malignant tumor, or if said SOL is malignant or benign.


The term “heterogeneity” as used herein, also known as “hetergenecity”, refers to a non-homogeneous solid tissue, i.e., a solid tissue comprising different malignant clonal populations or both benign and malignant tumor populations. It also refers to the presence of a malignant tumor population that originated from a different/variant tissue (as a result of metastases).


In certain embodiments, the methods of the invention further allow for determining a more accurate location of possibly present tumor populations within a broad region of a tissue in the subject's body.


The term “subject” as used herein refers to any mammal, e g, a human, non-human primate, horse, ferret, dog, cat, cow, and goat. In a preferred embodiment, the term “subject” denotes a human, i.e., an individual.


The method specifically disclosed hereinabove comprises the steps of: (i) placing at least one electroporation-electrode within a solid tissue, or within a SOL within said solid tissue or in proximity thereto, within a subject's body; (ii) applying a PEF via the at least one electroporation-electrode to thereby induce permeabilization of cells of said solid tissue or said SOL, and consequently release of at least one component of molecular content therefrom to the extracellular matrix between and surrounding said cells; (iii) extracting the at least one cellular-component from the extracellular matrix; and (iv) identifying/analyzing the at least one cellular-component extracted so as to identify/determine the presence and type of a tumor within the solid tissue or determine if the SOL is malignant or benign, or to determine the presence of molecular markers in the probed location.


According to the present invention, identification/analysis of the at least one cellular-component extracted in step (iv) may be carried out in-vivo, in-vitro, i.e., after removal of said at least one electroporation-electrode, or both in-vivo and in-vitro.


In certain embodiments, identification/analysis of the at least one cellular-component extracted is carried out in-vivo, i.e., step (iii) is extracting the at least one cellular-component into at least one of the at least one electroporation-electrode and step (iv) is carried out within said electroporation-electrode, e.g., by pulse amperometic analysis.


In alternative embodiments, identification/analysis of the at least one cellular-component extracted is carried out in-vitro, i.e., step (iv) is carried-out outside the subject's body, by any suitable technique. In specific such embodiments, the method disclosed herein further comprises a step of removing the at least one electroporation-electrode after step (iii) and prior to step (iv).


In further alternative embodiments, identification/analysis of the at least one cellular-component extracted is carried out partially in-vivo and partially in-vitro, i.e., step (iv) is carried out partially within said electroporation-electrode, e.g., by pulse amperometic analysis; and partially outside the subject's body, by any suitable technique, e.g., after removing the at least one electroporation-electrode after step (iii).


In certain embodiments, the method disclosed herein further comprises a preliminary step(s) of obtaining medical imaging-based location's data of the solid tissue and/or of the SOL. In specific embodiments, the medical imaging is MRI, CT, etc. In further embodiments, particularly if no SOL is observed, other preliminary steps, such as blood tests, are performed in order to evaluate whether the solid tissue is suspected of having a malignancy.


In certain embodiments of the method according to any of the embodiments above, the step of placing the at least one electroporation-electrode within the solid tissue, or within said SOL or in proximity thereto, is carried out under real-time imaging, such as CT, MRI, ultrasound, or impedance measurement.


PEF treatment is a process consisting of applying short microsecond pulses of high voltage at high frequency, leading to biological tissue permeabilization. The term “pulsed electric field (PEF)” as used herein thus refers to the application of a pulsed electric field characterized by specific voltage, electric field strength, pulse duration, number of pulses, and pulses frequency. Although the exact mechanism of biological tissue permeabilization by PEF is not fully understood, the current theory suggests that the membrane permeabilization is achieved through the formation of aqueous pores on the cell membrane, a phenomenon known as electroporation.


In certain embodiments of the method according to any of the embodiments above, the PEF is characterized by (i) pulse number of from 1 to about 10,000, e.g., from 1 to about 500, from 500 to about 1000, from about 1000 to about 2000, from about 2000 to about 3000, from about 2000 to about 4000, from about 4000 to about 5000, from about 5000 to about 6000, from about 6000 to about 7000, from about 7000 to about 8000, from about 8000 to about 9000, or from about 9000 to about 10000; (ii) pulse duration of from about 50 ns to about 10 ms, e.g., from about 50 ns to about 500 ns, from about 500 ns to about 1 ms, from about 1 ms to about 2 ms, from about 2 ms to about 3 ms, from about 3 ms to about 4 ms, from about 4 ms to about 5 ms, from about 5 ms to about 6 ms, from about 6 ms to about 7 ms, from about 7 ms to about 8 ms, from about 8 ms to about 9 ms, or from about 9 ms to about 10 ms; (iii) electric field strength of about 0.1 to about 100 kV/cm, e.g., about 0.1 to about 0.5 kV/cm, about 0.5 to about 1 kV/cm, about 1 to about 5 kV/cm, about 5 to about 10 kV/cm, about 10 to about 20 kV/cm, about 20 to about 30 kV/cm, about 30 to about 40 kV/cm, about 40 to about 50 kV/cm, about 50 to about 60 kV/cm, about 60 to about 70 kV/cm, about 70 to about 80 kV/cm, about 80 to about 90 kV/cm, or about 90 to about 100 kV/cm; and (iv) pulse frequency of from 0.1 to about 10000 Hz, e.g., from 0.1 to about 10 Hz, from 10 to about 100 Hz, from 100 to about 500 Hz, from 500 to about 1000 Hz, from 1000 to about 2000 Hz, from 2000 to about 3000 Hz, from 3000 to about 4000 Hz, from 4000 to about 5000 Hz, from 5000 to about 6000 Hz, from 6000 to about 7000 Hz, from 7000 to about 8000 Hz, from 8000 to about 9000 Hz, or from 9000 to about 10000 Hz.


As would be clear to any person skilled in the art, the particular characteristics (properties) of the PEF treatment applied, i.e., the combination of particular pulse number, pulse duration, electric field strength and pulse frequency selected, may affect the efficiency of the process, e.g., the electroporation efficiency, and consequently the amount and/or types of cellular-components released from the electroporated cells. The particular characteristics of the PEF treatment applied should thus be selected such that the permeabilization induced and consequently the release of the cellular component(s) would provide a cellular components profile best reflecting the cells of the target solid tissue or SOL.


In certain embodiments of the method according to any of the embodiments above, the at least one cellular-component released from the cells of the solid tissue or SOL is selected from proteins, RNA, DNA, metabolites, or any combination thereof.


In certain embodiments of the method according to any of the embodiments above, steps (ii) and (iii), and optionally step (iv), are repeated several times, each time at a different location/area within the solid tissue and/or the SOL, without removing the at least one electroporation-electrode therefrom, i.e., by advancing and retracting the electrode within the solid tissue or the SOL. In alternative embodiments, the at least one electroporation electrode is removed from the tissue or the SOL and transferred to a different location/area within the solid tissue and/or the SOL. In specific embodiments, the at least one cellular-component that is released into the extracellular matrix at each location/area is kept parted for separate analysis in step (iv). In specific embodiments, step (iv) is repeated only when the analyzing/identifying of the at least one cellular-component is carried out within the electroporation-electrode as defined above. However, if the analyzing/identifying step (iv) is carried outside the electroporation-electrode, i.e., outside the subject's body, step (iv) is not necessarily repeated in conjunctions with steps (ii) and (iii).


In certain embodiments of the method according to any of the embodiments above, the presence of the SOL has been determined and the at least one electroporation-electrode is placed within the SOL or in proximity thereto, such that at least part of the SOL is within the PEF generated/applied in step (ii).


In certain embodiments of the method according to any of the embodiments above, two electroporation-electrodes are used to generate PEF between them. In such a configuration, PEF is generated between the two electroporation-electrodes, which enables release of at least one cellular-component from cells positioned between the two electrodes. This is especially beneficiary when there is no prior knowledge of the location of the malignancy or SOL, or if the size of the malignancy or SOL is too small for accurately positioning a single electroporation-electrode in it or in close proximity thereto. In specific embodiments, both electroporation-electrodes are placed within the solid tissue (see illustration in FIG. 10). In alternative specific embodiments, one electroporation-electrode is placed within the solid tissue (or in proximity thereto), and the other is positioned at a remote location on the body of the subject, e.g., on the skin.


The method disclosed herein, according to any of the embodiments above, enables a physician to obtain molecular profiles from within a subject's organ even without explicitly knowing where and if a tumor or a diseased cell population exists in the organ. This is enabled, in part, by using two or more electroporation-electrodes to release, by electroporation, molecular markers/components from cells positioned between these two or more electroporation-electrodes. The collection and subsequent analysis of these released molecular markers/components give the physician indication of molecular profiles within the probed region.


In certain embodiments of the method according to any of the embodiments above, the at least one electroporation-electrode each independently is designed to enable penetration into the solid tissue, and is: (i) a hollow tube; (ii) a solid rod engulfed in a retentive tube/cannula; or (iii) a solid rod at least partially coated at the area designed to be placed within the tissue with an adhesive material capable of reversibly adsorbing, associating with, and/or linking at least one of the cellular-components. In specific embodiments, the at least one electroporation-electrode is hollow, and the at least one cellular-component released to the extracellular matrix is extracted in step (iii) by suction via said at least one hollow electroporation-electrode. In further specific embodiments, the method further comprises a step of inserting at least one liquid, such as an extraction buffer, water and saline, into the solid tissue or SOL via the at least one hollow electroporation-electrode, and the at least one cellular-component released to the extracellular matrix is extracted in step (iii) by suction together with the liquid via the at least one hollow electroporation-electrode. The liquid may be added at any time point. Accordingly, in certain embodiments, the liquid is added before performing the PEF. In alternative embodiments, the liquid is added after performing the PEF.



FIG. 6 illustrates liquid harvesting from a tissue using only a liquid phase: extraction liquid (water or any other suitable extraction buffer) flows through the needle into the tissue/tumor. An electric field is delivered through the needle electroporation-electrodes (e.g., the internal electrode is positivly charged and the external electrode is negatively charged). The liquied released from the cells is mixed with the extraction buffer and is sucked outside the body to the outlet, e.g., with vacuum.



FIG. 7 illustrates liquid harvesting from a tissue using oil according to some embodiments of the invention. The liquid extracted from the cells in the tissue is encapsulated inside droplets, emerged into an oil phase. Labeling and separation between various regions of biopsy is done through the introduction of a barcode inside one or several oil droplets when the needle moves to a new biopsy/harvesting location. The electric field is delivered through the needle electroporation-electrodes (e.g., the internal electrode is positivly charged and the external electrode is negatively charged).



FIG. 8 illustrates a needle electroporation-electrode with an opening head according to some embodiments of the invention. During the location-shift of the needle from one collection point to the other, the needle head is closed. At the diagnozidized/tested location the needle head is opened to enable suction of liquid. Electric fields are delivered and the released liquid is harvested through the opening slot with either extraction buffer, oil and/or directly with vacuum.


In certain embodiments, the addition of the extraction buffer can be carried out at any time point, i.e., (i) after insertion of the electroporation-electrode and prior to the PEF generation; (ii) after the PEF generation, and prior to the extraction of the at least one cellular-component and extracellular matrix; or (iii) simultaneously while extracting the at least one cellular-component and extracellular matrix (i.e., together with the application of PEF).


In further specific embodiments of the above method, the at least one liquid is: (i) an aqueous solution and the at least one cellular-component released to the extracellular matrix is diluted therein for extraction; (ii) an oil and the at least one cellular-component released to the extracellular matrix is encapsulated by the oil to form a micelle that is then extracted by suction; or (iii) an aqueous solution and an oil inserted sequentially in that order, so that the at least one cellular-component released to the extracellular matrix is first diluted in the aqueous solution, and then encapsulated by the oil to form a micelle that is extracted by suction.


In certain embodiments of the method according to the invention, the at least one electroporation-electrode is a solid rod engulfed in a retentive tube/cannula, and the at least one cellular-component released to the extracellular matrix is extracted in step (iii) by suction via the tube/cannula after extraction of the solid rod therefrom once PEF generation is complete. In specific embodiments, the method further comprises a step of inserting at least one liquid, such as an extraction buffer, water and saline, into the solid tissue via the tube/cannula, and the at least one cellular-component released to the extracellular matrix is extracted in step (iii) by suction together with the liquid via the tube/cannula. In further specific embodiments, the at least one liquid is: (i) an aqueous solution and the at least one cellular-component released to the extracellular matrix is diluted therein for extraction; (ii) an oil and the at least one cellular-component released to the extracellular matrix is encapsulated by the oil to form micelles that are extracted by suction; or (iii) an aqueous solution and an oil inserted sequentially in that order, and the at least one cellular-component released to the extracellular matrix is first diluted in the aqueous solution and then encapsulated by the oil to form micelles that are extracted by suction.


In certain embodiments of the method according to any of the embodiments above, the at least one electroporation-electrode is at least partially coated with an adhesive material capable of reversibly adsorbing, associating with, and/or linking at least one of the cellular-components, and the at least one cellular-component released to the extracellular matrix is analyzed/identified in step (iv) outside the subject's body after removing the at least one electroporation-electrode from the subject's body and releasing the at least one cellular-component therefrom. A particular such electroporation-electrode is a solid rod. FIG. 9 illustrates a needle with an adsorbing coating: after liquid is released/extracted from the cells due to electroporation, the extracted liquid is adsorbed onto the coating and is than taken out (by removing the needle from the tissue) for analysis.


In certain embodiments of the method according to any of the embodiments above, the at least one cellular-component is analyzed/identified in step (iv), by one or more suitable identical or different methods. Examples of methods that may be used include, e.g., protein sequencing, polymerase chain reaction (PCR), sequencing, microarray, chromatography, and mass spectrometry.


In specific embodiments, the presence of a malignancy within the solid tissue and/or if the SOL is malignant, is determined by the method disclosed herein if at least one of the identified cellular-components is indicative of malignancy. In other specific embodiments, the method of the invention determines the presence of a heterogeneity within the malignancy, i.e. a variance of cell colonies within said malignancy (such information might be highly important when considering potential therapeutic treatments for said malignancy). In further specific embodiments, the malignancy is primary malignancy, secondary malignancy, or semi-malignancy. In yet further specific embodiments, the at least one of the identified cellular-components is indicative of either a primary cancer or a secondary cancer.


In specific embodiments, the presence of a heterogeneity, such as fibrosis, or a benign or malignant tumor within said solid tissue, and/or if said SOL is malignant or benign, is determined by the method disclosed herein according to at least one of said identified cellular-components that are indicative therefor.


As disclosed herein, identification/analysis of the at least one cellular-component extracted in step (iv), so as to identify/determine (a) abnormality of, or within, said solid tissue, or the presence of a disease state of the subject; or (b) the presence and type of the tumor within said solid tissue or determine if said SOL is malignant or benign, may be carried out either within said at least one electroporation-electrode, i.e., in-vivo, or outside the subject's body (in-vitro), e.g., after (but not necessarily immediately after) removal of said at least one electroporation-electrode, or after suction of said at least one cellular-component from the subject's body. In a second specific aspect, the present invention thus relates to a method for determining if a solid tissue of a subject comprises a benign or malignant tumor, or if a SOL within said solid tissue is malignant or benign, said method comprising analyzing/identifying in-vitro at least one cellular-component extracted from cells of said solid tissue or SOL, wherein said at least one cellular-component has been extracted from said cells in-vivo, by applying a PEF within said solid tissue, or within said SOL or in proximity thereto, and consequently releasing said at least one cellular-component therefrom to an extracellular matrix between and surrounding said cells.


In certain embodiments, the at least one cellular-component analyzed/identified in-vitro according to this method has been extracted from said cells in-vivo by: (i) placing at least one electroporation-electrode within said solid tissue, or within said SOL or in proximity thereto; (ii) applying a PEF via said at least one electroporation-electrode to thereby induce permeabilization of said cells, and consequently release of said at least one cellular-component therefrom to an extracellular matrix between and surrounding said cells; and (iii) extracting said at least one cellular-component from said extracellular matrix. It should be understood that the at least one electroporation-electrode utilized in step (i) hereinabove can be of any of the designs/configurations referred to in any one of the embodiments herein, and each one of the steps (i) to (iii) hereinabove can be performed according to any one of the those embodiments.


In a third aspect, the present invention provides a device for the extraction of at least one cellular-component from cells of a solid tissue of a subject and/or from cells of a SOL within the solid tissue, for determining if the solid tissue comprises a benign or malignant tumor, or if said SOL is malignant or benign. In certain embodiments, the device comprises: (i) at least one electroporation-electrode designed to be associated with an electric generator, and to generate a PEF; and (ii) a cellular-components extraction-element, wherein upon introducing the at least one electroporation-electrode into the solid tissue, or into said SOL or in proximity thereto, and applying a PEF, the PEF induces permeabilization of the cells and consequently the at least one cellular-component exits to the extracellular matrix between and surrounding said cells or within the solid tissue or SOL and is then extracted outside the solid tissue or SOL by the extraction-element for analysis.


In certain embodiments, the device of the invention further comprises at least one of: (i) a filtering unit at the extraction-element, i.e., in order to filter the liquid while sucking it from within the tissue; and (ii) a power source (such as a pulse electric current generator) associated with the electroporation-electrode(s).


In certain embodiments of the device of the invention, the electroporation-electrode comprises or is associated with a tissue-penetrating element to enable penetration into the solid tissue and SOL.


In certain embodiments, the device of the invention comprises a single electroporation-electrode that comprises a support-element with a first- and second electrical-conductors mounted thereon for creating PEF within the solid tissue, or said SOL or in proximity thereto.


In specific embodiments of the device according to any of the embodiments above, the device comprises two separate electroporation-electrodes, each comprising a support-element with an electrical-conductor mounted thereon for creating PEF within the solid tissue, or said SOL or in proximity thereto, when a PEF is applied between the two electroporation-electrodes. In specific embodiments, the support-element is made of a dielectric material, and optionally comprises or is associated with a tissue-penetrating element to enable penetration into the solid tissue and the SOL.


In certain embodiments of the device according to any of the embodiments above, the extraction-element is an adhesive material capable of reversibly adsorbing, associating with, and/or linking at least one of the cellular-components, wherein the support-element is at least partially coated with the adhesive material.


In certain embodiments, the device according to any of the embodiments above further comprises or is associated with a suction unit, and optionally further comprises or is associated with a collection vessel (such as a syringe or tube) for holding the extracted cellular elements. In specific embodiments, the electroporation-electrode or the support-element is hollow, and constitutes the extraction-element through which cellular-components can be extracted by suction. In alternative specific embodiments, the extraction-element is a retentive tube/cannula engulfing the support-element, so that after PEF is completed and the electroporation-electrode is withdrawn from within the tube/cannula, at least one cellular-component can be extracted from the extracellular matrix in the solid tissue by suction via the tube/cannula.


In certain embodiments, the above device is associated or is designed to be associated with a liquid reservoir and pump, for inserting/pumping at least one liquid into the solid tissue and/or the SOL via, e.g., the support-element for diluting the cellular-components released to the extracellular matrix, so that they can be extracted by suction together with the liquid via the extraction-element.


In certain embodiments of the device according to any of the embodiments above, the at least one liquid is an aqueous solution and the cellular-components released to the extracellular matrix are diluted therein for extraction. In alternative embodiments the at least one liquid is an oil and at least one of the cellular-components released to the extracellular matrix is encapsulated by the oil to form micelles that are then extracted by suction. In yet further alternative embodiments, the at least one liquid is an aqueous solution and an oil inserted sequentially in that order, so that at least one of the cellular-components released to the extracellular matrix is first diluted in the aqueous solution, and then encapsulated by the oil to form micelles that are extracted by suction.


In certain embodiments, the device according to any of the embodiments above further comprises a closure-element (e.g., cap or valve) designed to allow or prevent passage of liquids via the hollow electroporation-electrode or the tube/cannula (see FIG. 8). This configuration enables to move the electroporation-electrode within the solid tissue and/or the SOL without removing the electroporation-electrode therefrom, i.e., by advancing and retracting the electroporation-electrode within the solid tissue while keeping the hollow electroporation-electrode or the tube/cannula clog-free. This is essential when extracting cellular-components from different locations/areas within the solid tissue and SOL, and maintaining the extracted cellular-components from each location/area parted for separate analysis.


The device disclosed herein, according to any of the embodiments above, may be used for carrying out each one of the methods of the invention as described herein.


The present invention demonstrates that macromolecules harvesting using e-biopsy from normal and cancer tissues followed by assessment of the molecular profiles of RNA and proteins obtained thereby, if feasible. It was further showed that RNA and proteins extracted using e-biopsy from HepG2 liver tumor in mice, normal mice liver and normal mice kidney are tissue-specific suggesting that e-biopsy produces sample(s) that can be used for differential expression analysis.


The e-biopsy extract of the kidney contained RNA in higher levels for Tmem27, Umod and Slc34a1 and the e-biopsy extract from the liver contained RNA in higher levels for Apoa5, F12, and Abcb11 (FIG. 1). The present results that show RNA extracted by electroporation, allows for differential expression analysis between the normal liver and normal kidney, which aligns with the literature. These findings were also corroborated by studying the RNA extraction from HepG2 tumor model in mice liver, in which RNA encoding for PLK_1, S100P, TMED3, TMSB10, and KIF23 were significantly higher expressed than RNA for these genes extracted from the normal liver (FIG. 4). Taken together, the above data suggests that e-biopsy extracts tissue-specific RNA and allows for the detection of differential expression between tissues (e.g., kidney and liver) as well as between healthy tissue and tumor.


The proteomic analysis of the e-biopsy extract showed that proteins extracted from tissues are tissue-specific (FIG. 2, FIG. 5). Gene Ontology (GO) analysis of the ranked lists of the extracted proteins showed significant differences in process, function, and component associated with proteins extracted from the kidney, liver and HepG2 tumor model in mice liver. The present invention shows that the extracted proteins and RNA are tissue-specific and allow differential expression to be determined in various tissues including tumors. Future studies should determine the properties of the extractable proteins and RNA of various tissues. These properties depend on the tissue structure, using pulsed electric fields protocols and the extraction solvent. The combined knowledge of the physicochemical properties of the extractable protein and RNA, and the structure and chemical properties of the analyzed tissue, could provide new ways for optimizing pulsed electric field parameters such as electric field strength, pulse duration, pulse number, and frequency.


Molecular harvesting with electroporation (e-biopsy) introduced in this application is a new concept for tissue molecular profiling. Although the permeabilization by electroporation is known for delivering molecules to tissues and cells (drugs, vaccines etc.) or to directly kill cells, temporary permeabilization of tissue to facilitate molecular harvesting has not been previously proposed and devices that allow for the harvesting of molecules from tissues do not exist.


Molecular cartography of a tumor is a quantitative, either binary, integer of real valued, annotation of tumor subpopulations, in their defined original positions within a greater tumor location. Intra-tumor heterogeneity may foster tumor evolution and adaptation and hinder current personalized-medicine strategies that depend on results from single tumor-biopsy samples. Furthermore, intra-tumor heterogeneity could lead to the rapid spread of resistant subclones, originally not detected. Molecular cartography provides molecular level information about different sub-regions of the tumor, including differences between the clones that occupy these spaces, which can serve to produce a more accurate predictions and therapeutic recommendations.


Molecular cartography can be at a high resolution—inferred for very small populations within a larger sample or at a lower resolution—inferred for just a few separate regions in a tumor or in 10-20 such regions.


Examples
Methods
Animals

8-week old female Athymic Nude mice weighting ˜20 g were provided by the Science in Action CRO. The animals were housed in cages with access to food and water and libitum and were maintained on a 12 h light/dark cycle in a room temperature of around 21° C. and a relative humidity range of 30 to 70%. All in-vivo experiments were conducted by a professional veterinary.


In-Vivo Human HepG2 Liver Tumor Model

106 HepG2 cells (50 mL) were directly injected into the mice liver. Four to five weeks after the cells injection, the mice were euthanized with CO2 and the tissues were immediately harvested for extraction with pulsed electric fields.


Pulsed Electric Field Application for Biomolecules Extraction Ex-Vivo

First, 250-300 mg of tissue was excised and loaded into electroporation cuvette (BTX electroporation cuvettes plus, 2 mm, Model No. 620, Harvard Apparatus, MA). The cuvette was inserted into custom-made electroporation cuvette holder and connected to the electric field pulse generator (BTX830, Harvard Apparatus, MA). Electroporation was performed using a combination of high-voltage short pulses with low-voltage long pulses as follows: 50 pulses 500V cm−1, 30 μs, 1 Hz, and 50 pulses 50 Vcm−1, 10 ms, delivered at 1 Hz. After the PEF treatment, 300 μl nuclease-free water was added to the cuvette for “juice” dilution and then liquids transferred to 1.5 ml tubes.


RNA Isolation and Amplification from the Pulsed Electric Field Extracted Juice


The total RNA was extracted using water-saturated phenol and 1-Bromo-3-chloropropane (Biological Industries, Beit Haemek Ltd). The cDNA used for PCR was synthesized from total RNA using GoScript™ Reverse Transcription System (Promega Corporation, Madison, Wis., USA).


For the normal tissue differentiation (kidney vs. liver), PCR, 6 pairs of specific primers (Slc34a1, Umod, Tmem27, Apoa5, F12, and Abcb11) were designed according to the mouse transcriptome (Table 1). For gene selection, mouse liver and kidney RNA-seq data was downloaded from Newman et al., 2017 (GEO ID: GSE101657) with five mice per tissue. Normalization and differential expression (DE) analysis were done using DESeq2. A gene was considered to be DE if its corrected p-value<0.01, log 2 (fold-change)>111 and with its average read coverage >100 normalised reads. Selected DE genes were also manually checked to see if their human orthologs are also liver/kidney-specific according to human protein atlas (https://www.proteinatlas.org/)









TABLE 1







Primers used for the mouse liver and mouse kidney differentiation 


by the RNA extracted with electroporation









Gene




Abbreviation
Gene name
Forward/reverse primer





Slc34al
Solute carrier family 34
5’- GAT GTC CTA CAG CGA GAG ATT G -3’



(sodium phosphate),
5’- GGG AGC AGA CAA AGA GGT AAA -3’



member 1



Umod
Uromodulin
5’- TCC CGG TTT GTA CTG CTA ATG -3’




5’ - TGG AC A CCT TGT CGT GTT ATG -3’


Tmem27
Collectrin, amino acid
5’- GTT TGC GGC TCT GAA AGA ATG -3’



transport regulator
5’ - CAC TGT TGA TCC GGT TCC TAT T -3’


Apoa5
Apolipoprotein A-V
5’- GAC GAC CTG TGG GAA GAT ATT G -3’




5’ - CAG GAG GTA GGG ACT GTA TGA -3’


F12
Coagulation factor XII
5’- GAG GAA CTG AC A GTG GTA CTT G -3’



(Hageman factor)
5’ - GGG AAG GAT AAA GCC TGG TTA G -3’


Abcbll
ATP binding cassette
5’- CTG TGG GTT GGT GGA CAT TA -3’



Subfamily B member 11
5’ - GAG AGG ACT TCA TCG GCA ATA G -3’


GADPH_
Glyceraldehyde 3-
5’- GGG TGT GAA CCA CGA GAA ATA -3’


mouse
phosphatedehydrogenase
5’ - GGG TCT GGG ATG GAA ATT GT -3’









The PCR amplification protocol was 95° C. for 30 s, 40 cycles of 95° C. for 5 s, 55° C. for 10 s, and 72° C. for 30 s. Twenty-seven normal liver and 18 normal kidney samples from 3 mousses were taken for RNA extraction. All samples were collected in fresh conditions and transferred on ice from the surgery room to the laboratory.


For differentiation between tumor and normal liver tissue, 5 pairs of gene-specific primers (PLK1, TMED3, TMSB10, S100P, and KIF23) were designed according to the human transcriptome (Table 2). For gene selection for the analysis, RNA-seq. of help to-cellular carcinoma were downloaded and matched normal samples from TCGA (TCGA LIHC). Normalization and DE analysis were done using DESeq2. A gene was considered as DE, if it's corrected p-value <0.01 and log 2 (fold-change)>111.









TABLE 2







Primers used for the mouse liver and HepG2 kidney differentiation 


by the RNA extracted with electroporation









Gene
Gene name
Forward/reverse primer


Abbreviation





PLK1
Serine/threonine-protein
5’- CAG CAA GTG GGT GGA CTA TT -3’



kinase
5’- ATC AGT GGG CAC AAG ATG AG -3’


TMED3
Transmembrane p24
5’- GAT TGA CTC CCA GAC GCA TTA C -3’



trafficking protein 3
5’- CAG TCG GST GCC TTC TGA TTA C -3’


TMSB10
Thyomosin beta-10
5’- CGA GAC TGC ACG GAT TGT T -3’




5’- CAT CTT GCA GGT GGC TCT T -3’


SIOOP
S100 calcium-binding
5’- AGG AAG GTG GGT CTG AAT CT -3’



protein P
5’- AGG AAG GTG GGT CTG AAT CT -3’


KIF23
Kinesin-like protein KIF23
5’- AGT GTG AGG TTG ATG CCT TAT T -3’




5’- CTC TGG TCC GGT TAG TTC TTT C -3’









The cancerous up-regulated genes (the genes with log 2 (fold-change)>111) were further filtered to include only genes that in both HepG2 RNA-seq. data from Solomon et al., 2017, and HepG2 RNA-seq. data from the ENCODE project (Dunham et al., 2012), the expression level is higher than 74% of the expressed genes (reads per kilobase million, RPKM>10 in both Solomon et al. and ENCODE). Using human protein atlas, we manually checked that the selected cancerous up-regulated genes are considered as elevated in cancer but lowly expressed in normal liver.


The up-regulated in normal liver (down-regulated in the cancerous liver) were further filtered to include genes that in both Solomon et al. and in ENCODE HepG2 data, have gene expression that is lower than 75% of the expressed genes (RPKM<0.05 in both Solomon et al. and ENCODE). Using human protein atlas, we manually checked that the selected genes are considered as lowly expressed in cancer and elevated in normal liver.


The PCR amplification protocol was 95° C. for 30 s, 40 cycles of 95° C. for 5 s, 55° C. for 10 s, and 72° C. for 30 s, and the primers used are listed in Table 2.


Seven tumor and 14 normal mouse liver samples from 5 mice were taken for RNA extraction. All samples were collected in fresh conditions and transferred on ice from the surgery room to the laboratory.


The RNA was separated using 1.2% E-Gel electrophoreses system (ThemoFisher, CA). The gel images were captured with ENDURO™ GDS camera (Labnet Inc., NJ). Quantification was done with ImageJ (ver 1.52e, NIH, MA).


Proteins Isolation from the Pulsed Electric Field Extracted Juice


Proteins were isolated from the PEF extract using the protocol of EZ-RNA II kit (Biological Industries, Beit Haemek Ltd). Air-dried protein pellets were taken for proteomic analysis as described below.


Extracted Proteins Identification Quantification with LC-MS/MS


Proteolysis. The samples were brought to 8M urea, 400 mM ammonium bi-carbonate, 10 mM DTT, vortexed, sonicated for 5′ at 90% with 10-10 cycles, and centrifuged. Protein amount was estimated using Bradford readings. 20 ug protein from each sample was reduced 60° C. for 30 min, modified with 37.5 mM iodoacetamide in 400 mM ammonium bicarbonate (in the dark, room temperature for 30 min) and digested in 2M Urea, 100 mM ammonium bicarbonate with modified trypsin (Promega) at a 1:50 enzyme-to-substrate ratio, overnight at 37° C. Additional second digestion with trypsin was done for 4 hours at 37° C.


Mass spectrometry analysis. The tryptic peptides were desalted using C18 tips (Harvard) dried and re-suspended in 0.1% Formic acid. The peptides were resolved by reverse-phase chromatography on 0.075×180-mm fused silica capillaries (J&W) packed with Reprosil reversed phase material (Dr. Maisch GmbH, Germany) The peptides were eluted with linear 180 minutes gradient of 5 to 28% 15 minutes gradient of 28 to 95% and 25 minutes at 95% acetonitrile with 0.1% formic acid in water at flow rates of 0.15 μl/min. Mass spectrometry was performed by Q-Exactive plus mass spectrometer (Thermo) in a positive mode using repetitively full MS scan followed by collision induces dissociation (HCD) of the 10 most dominant ions selected from the first MS scan.


The mass spectrometry data from all the biological repeats were analyzed using the MaxQuant software 1.5.2.8 (Mathias Mann's group) vs. the mouse proteome from the UniProt database with 1% FDR. The data were quantified by label-free analysis using the same software, based on extracted ion currents (XICs) of peptides enabling quantitation from each LC/MS run for each peptide identified in any of the experiments.


The functional groups of the extracted proteins were identified and statistically analyzed using Gene Ontology (GO) analysis with GOrilla, annotating the ranked gene list to the mouse genome.


Statistical Analysis

Statistical analysis was performed using R-studio, fitdistrplus, ggplot2 and dplyr packages (RStudio: Integrated development environment for R (Version 1.1.383) [Windows]. Boston, Mass.).


RNA and Proteins Differential Expression with e-Biopsy in Mouse Liver and Kidney



FIG. 1A illustrates the protocol for e-biopsy from normal liver and normal kidney. FIG. 1B shows that in the electroporation extracted from kidney, the expression of RNA encoding for Tmem27, Umod and Slc34a1 was significantly higher than that in the liver. Furthermore, Apoa5, F12, and Abcb11 genes were significantly higher in the e-biopsy extracts from the liver than in the extracts from the kidney.


Using semi-quantitative proteomic data, the following parameters were calculated for proteins extracted from liver and kidney: molecular weight (MW), normalized intensity for each sample (LFQ), intensity and normalized within sample intensity (iBAQ). Using these quantitative data, a list of most abundant proteins with iBAQ>107 was selected for further analysis (Table 3). The histogram and density function (FIGS. 1C & 1D) suggested the proteins extracted by e-biopsy have a heavy right tail distribution function. The skewness and kurtosis plots of MW (FIGS. 1E & 1F) suggested that MW has lognormal, gamma or Weibull distributions. The goodness of fit analysis (Table 4 & Table 5) suggests that MW of the most abundant proteins extracted by electroporation is closer to lognormal distribution (smallest statistics for all checked criteria) (Table 6 & Table 7). The parameters and the uncertainty in the parameters (confidence interval) for the lognormal distribution function were determined using bootstrapping.


Interesting, the proteins extracted from the kidney had almost twice lower MW than the proteins extracted from the liver. This can be explained by a different electroporation threshold of cells and by different diffusion properties of properties in these two media.









TABLE 3







Descriptive statistics of molecular weights of proteins


extracted from tissues with electroporation. iBAQ >107













Tissue
Min
1st Qu.
Median
Mean
3rd Qu.
Max





Kidney
2.79
11.99
18.01
25.21
31.53
106.25


Liver
3.81
18.38
30.53
36.38
48.35
272.43


HepG2
3.82
18.92
32.19
40.26
50.88
394.46
















TABLE 4







The goodness of fit analysis of highly abundant electroporation


extracted kidney proteins (iBAQ > 107)











Weibull
lognormal
gamma










Goodness-of-fit statistics










Kolmogorov-Smirnov statistic
0.1049928
0.06978198
0.1079061


Cramer-von Mises statistic
1.3454622
0.43578147
1.1439954


Anderson-Darling statistic
8.1846425
2.68808789
6.5859668







Goodness-of-fit criteria










Akaike's Information Criterion
2776.322
2706.840
2746.318


Bayesian Information Criterion
2783.968
2714.486
2753.965
















TABLE 5







The goodness of fit analysis of highly abundant electroporation


extracted liver proteins (iBAQ > 107)











Weibull
lognormal
gamma










Goodness-of-fit statistics










Kolmogorov-Smirnov statistic
0.05698024
0.0374255
0.03459732


Cramer-von Mises statistic
0.84034789
0.4859410
0.36004244


Anderson-Darling statistic
7.69096820
2.9875080
2.82114915







Goodness-of-fit criteria










Akaike's Information Criterion
10940.07
10805.36
10845.93


Bayesian Information Criterion
10950.31
10815.59
10856.16
















TABLE 6







Parametric bootstrap medians and 95% percentile


CI for lognormal distribution of the MW of


electroporation extracted kidney proteins











Median
2.5%
97.5%















meanlog
3.0043648
2.9364384
3.0735471



sdlog
0.6527423
0.6061976
0.7046646
















TABLE 7







Parametric bootstrap medians and 95% percentile


CI for lognormal distribution of the MW of


electroporation extracted liver proteins











Median
2.5%
97.5%















meanlog
3.3893310
3.3525484
3.4260361



sdlog
0.6514971
0.6241754
0.6792361









2078 proteins from the kidney and liver were identified using unlabeled proteomic: gene ontology analysis was performed for the associated genes (on the ranked list of differently expressed proteins (Table 8) using GOrilla (Eden et al., 2009), annotating the ranked gene list to the mouse genome. Analysis of the gene onthology by processes showed that small molecule metabolic processes, organic acid metabolic processes, drug metabolic processes, and fatty acid metabolic processes, were higher in the liver than in the kidney (FIG. 2, Table 9).









TABLE 8





Proteins




















Fabp1
Cat
Uox
Aspdh
Spr
Dap


Prdx1
Sord
Decr1
Ftl1
Cyp2c29
Uroc1


Cps1
Hmgcs2
Hspa8
Aldh6a1
Cox6a1
Lap3


Hspe1
Aldh1l1
Haao
Ttr
Uqcrfs1
Gpd1


Bhmt
Gpx1
Park7
Mdh1
Ephx2
Cmbl


Ass1
Scp2
Blvrb
Cox5a
Ak3
Rps3a


Arg1
Gnmt
Glul
Acaa1a
Pfn1
Atp5f1


Gstm1
Atp5a1
Mpst
Glyat
Als2
Ttc36


Fah
Ddt
Sardh
Alad
Esd
Hebp1


Aldh1a1
Abhd14b
Idh1
Aldh4a1
Echs1
Hist1h1d


Sod1
Otc
Pebp1
Dmgdh
Adh5
Bdh1


Alb
Ahcy
Gstt1
Hint1
Mif
Ctrb1


Acaa2
Fbp1
Pcbd1
Ndufa4
Timm8b
Rps19


Rgn
Actb
Adk
Mdh2
Hspa9
Acads


Aldob
Got1
Cox4i1
Msra
Asl
Suclg1


Ppia
Atp5j
Mup2
Pdia3
Cyb5r3
4931406C07Rik


Acat1
P4hb
Sod2
Cyp2d10
Inmt
Rrbp1


Etfa
Glud1
Pgk1
Psap
Nipsnap1
Agmat


Adh1
Hgd
Cyp2d26
Hacl1
Hnrnpa2b1
Pgls


Gstz1
Hspa5
Hadh
Sult1a1
Aldh9a1
Hadhb


Prdx6
Aldh2
Hadha
Etfb
Glo1
Pgm1


Gsta3
Akr1c6
Uox
Hmgcl
Spr
Ftcd


Atp5b
Got2
Decr1
Mgst1
Tst
Sdha


Tkt
Hspd1
Cpt2
Rps14
Immt
Rpl10a


Hint2
Sec14l2
Rpn1
Dbt
Ube2n
Kng1


Agxt
Gstk1
Ywhag
Ndufc2
Manf
Mcee


Vcp
Etfdh
Ckm
Acsl1
Nucb1
Mavs


Pah
Hsd11b1
Dpys
Mt1
Cox7a2
Ppib


Fasn
Grn
Aifm1
Ubqln1
Glod4
Idi1


Rps15
Fth1
Nit1
Glrx
Slc25a10
Ube2l3


Aldh7a1
Pdia4
Rps3
Gstt3
Rdx
Pla2g12b


Timm13
Pipox
Fga
Dld
Psme1
Chchd10


Suclg2
Gcdh
Ywhaz
2210010C04Rik
Ogdh
Snd1


Lypla1
Sds
Tufm
Dlst
Arhgdia
Fdx1


Ivd
Uqcrh
Eif4a2
Myh9
Sec14l4
Ugt2b1


Sfxn1
Gpt2
Psmb2
Fabp2
Dhrs4
Eif4h


Atp5c1
Rps10
Pck1
Vapb
Anxa5
Ctrl


Krt76
Rpl12
Cela1
Acy1
Aadac
Myh4


Nit2
Acadvl
Cyp2e1
Ssr4
Pnpo
Cdv3


Acadl
Shmt1
Cpb1
Acot13
S100a10
Echdc2


Gc
Hagh
Ndufs6
Me1
Cyp2a12
Idh3a


Ak2
Papss2
Gstt2
Reep6
Rpl18
Gsta4


Mthfd1
Uqcrc1
Rps11
Hyi
Mrpl12
Mvp


Cstb
Phb
Pabpc1
Fdps
Ufm1
Usmg5


Aldh8a1
Hibadh
Khsrp
Hnrnpk
Prdx3
Crot


Ppa1
Cryz
Stard10
Rplp2
Snx3
Hnrnpd


Rpl6
C3
Ech1
Sar1b
Ufc1
Nudt7


Hsd17b4
Sdhb
Slc27a2
Dstn
Chdh
Ttpa


Grhpr
Idh2
Bckdha
Cyc1
Nnt
Iqgap2


Khk
Ugp2
Slc25a13
Ldhd
Ppif
Amacr


Cbr1
Ces1
Eef1d
Aco2
Hpx
Psmc5


Timm9
Uqcrc2
Shmt2
Fkbp2
Cpa1
Gclc


B2m
Ndrg2
Prss2
Cisd1
Ndufa2
Phyh


Acadm
Taldo1
Bola1
Ganab
Mecr
Cela3b


Agxt2
Rps17
S100a9
Pnlip
Eea1
Dlat


Pdia6
Vapa
Rps20
Akr1c14
Arpc3
Psma5


Acsf2
Ndufv3
Aldh1a7
Abhd11
Rab14
Adhfe1


Atox1
Pecr
Galm
Plg
Fgb
Bag3


Aco1
Pzp
Grpel1
Rpl30
Cpox
Gbe1


Bphl
Phb2
Nedd8
Tubb2a
Pccb
Mccc2


Ehhadh
Suox
Pgrmc1
Slc25a3
Psma3
Lipa


Cyp2f2
Ctsb
Fmo1
Hspb1
Sri
Gvin1


Apoe
Rps21
Fabp5
Rpl7
Pdhb
Gdi2


Tpi1
Ndufv2
Ethe1
Rps23
Cltc
Sdf2l1


Ctsd
Hdlbp
Ahsg
Glrx5
Psma7
Pter


Slc25a5
Cyb5b
Cycs
Ndufv1
Rpn2
Gaa


Fkbp1a
Cfl2
Hist1h1e
Asgr1
Nrn1
Rbpms2


Tpmt
Pmm2
Scrn2
Prdx4
Plbd2
Pigr


Aldoa
Ndufa12
Apeh
Dbi
Mcfd2
Reep5


Scpep1
Igfbp4
Ddb1
Trap1
Gclm
Ociad2


Coq9
Hnrnph1
Top1
Ddah1
Bsg
C6


Keg1
Hsd17b11
Apoc4
Pdlim5
Ewsr1
Fn1


Pdxk
Ndufa11
Cnpy2
Atp5d
Pfdn5
Ctsz


Mtpn
Dnaja1
Lpp
Txndc17
Ociad1
Edf1


Cyp2d22
Ephx1
Ugt3a2
Cfh
Rab10
Arhgdib


Ctsc
Eif1
Ddx5
Cndp2
Snrpd1
Myh1


Dcxr
Ndufa9
Atp5j2
Bpgm
Spcs2
Sept11


S100a11
Ppa2
Ccdc58
Opa1
Pygm
Scamp3


Lgals3
Dynll2
Ncl
Acp6
Ndufb3
Npc2


Eef1a1
Eif4ebp2
Ywhah
Apoo
Serpinf2
Gsn


Cdc42
Dmd
Ehd3
Snrpd3
Sh3bgrl
Aga


Rnase1
Snx12
Clpx
As3mt
Eif6
Hsbp1


Pdlim1
Hnrnpf
Sf1
Eprs
Caprin1
Iscu


Cox7a2l
Eef1b2
Ugdh
Hmga1
Aimp1
Ddi2


Ndufab1
Mycbp
Arpc1b
Hnrnpa1
Ppbp
Mrpl49


Bpnt1
Fau
Fubp1
Jup
Vtn
Arf5


Cox6b1
Arpp19
Capza2
Hdgf
Mia3
Pnkd


Xylb
Pm20d1
Hrg
Ndufa5
Sept9
Kars


Ybx1
Hp
Tubb5
Lcp1
Isg15
Cmpk1


Acox2
Lactb2
Arf4
Snrpc
Prkar2a
Pcnp


Ppp2r1a
Apoc3
Tpp1
Pcyt2
Cnn3
Dcps


Ndufs3
Fabp4
Pcbd2
Mocs2
Arfgap2
Apool


Psmc6
Tuba4a
Lmna
L2hgdh
Mtap
Xrcc5


Acad11
Clta
Crip1
Pdhx
Nars
Rbbp9


Cap1
Ndufb8
Creld2
Acsm5
Cast
Sult1d1


Dazap1
Lrrc59
Stbd1
Lgals1
Pnpla8
Cyp4a12a


S100a13
Psmd4
St13
Tmed10
Apom
Stat3


Gss
Pdcd6ip
Iigp1
Msn
Carhsp1
Dsp


Clps
Cct2
Coasy
Dnaja3
Tbca
Idh3g


Psmd11
Hsdl2
Dynlrb1
Sec22b
Psmd9
Gfer


Atp5e
Eif4g1
Gjb1
Clu
Lgmn
Hist1h1a


Serpina3k
Pdcd6
Tpd52l2
Fkbp4
Rbpms
Rbm14


Ik
Sec31a
Acp1
Triap1
Mrpl50
Hspa4


Fahd1
Ube2v1
Farsa
Cct4
S100a1
Ensa


Cfl1
Scly
Anxa2
Acss3
Lsm2
Lgals3bp


Dpy30
Dnajb11
Ndufs8
Mbl2
Hpcal1
Tmed9


Glyctk
Timm44
Stip1
Sf3b5
Lamp2
Atp1a1


Hist1h1b
Vdac1
Nampt
Cuta
Erp29
Marcksl1


Pdia2
Ndufb9
Ptbp1
Copz1
Myh8
Sec24d


Ap2m1
Crym
Dync1li1
Ddrgk1
Vps37c
Gatc


Txn2
Rnase4
Ubxn1
Capg
Mff
Golga5


Mrpl53
Tagln
Mtss1
Myo9b
Emcn
Clec4f


Rbp1
Capns1
Afm
Ttc32
Nmt1
Shank3


Higd1a
Banf1
Tgm1
Ciapin1
Pkp1
Cops8


Snx6
Gimap4
Gatm
Npepl1
Nsd1
Acyp2


Sfpq
Hcls1
Rab5c
Nup62
Bcas2
Tbc1d8b


Mia2
Ak1
Hnrnpa0
Amotl2
Sp1
Npc1


Rab1b
Sgta
Atp6v1e1
Tom1
Lmnb1
Arsb


Fxn
Igbp1
Sec24b
Lsm4
Ltbp4
Ssr3


Tmed4
Chmp4b
Hao2
Slc25a12
Ank1
Sod3


Psme3
Cnpy3
Orm1
Aplp2
Gar1
Arhgap24


Hnrnpab
Pcmt1
Nap1l4
Aip
Flna
Vcpip1


Cmc1
Stoml2
Pcp4l1
Ndufaf2
Txlna
Mns1


Pabpn1
Hnrnpul1
Lamp1
Blvra
Vdac2
Gimap8


Gorasp2
Cdc26
Mareks
FAM120A
App
Dhrs7b


Smpdl3a
Mprip
Denr
Scfd1
Cox17
Chmp1a


Sf3b4
Syap1
Col1a2
Csad
Myef2
Hdac4


Ehd1
Rbp4
Apon
Idh3b
Guk1
Cog2


G3bp2
Pf4
Hcfc1
Larp1
Scamp2
Mtus1


Enpp2
Mustn1
Gtf2a1
Camp
Slc25a4
Cab39


Vwa5a
Sirt4
Clic1
Tnnt3
Purb
Cnot3


Ndufb2
Diablo
Lsm8
Kpna4
Hccs
Gpx3


Glrx3
Tcea1
Limd1
Zfand2b
Cd300lg
Sipa1l3


Lrp1
Clint1
Lsm3
Yap1
Tpp2
Bmp2k


Epn1
Cct3
Scoc
Siae
Apod
Adsl


Mbl1
Tmpo
Plaa
Ythdf3
Ttn
Ngef


Slc38a3
Cdkn1b
Basp1
Eif3a
Ttc39c
Trip11


Coro1b
Xpnpep1
Arpc4
Dnajb2
Bst2
Ilkap


Eif2a
Fam162a
Igf1
Ppdpf
Upf1
Egfr


Dtd1
Acbd5
Gatad2b
Tnks1bp1
Pxn
Tsc22d4


Mrps31
Dctn2
Atrx
Bcl2l13
Dnm11
Ccdc90b


Grb2
Psmd2
Gltp
Nenf
Znrf2
Col4a2


Maged1
Angptl3
Armc1
Hopx
Myh13
Son


Snx5
Vcl
Bcap31
Arpc5l
Wipf1
Arhgap17


Fhit
Matr3
Aldoc
Nucb2
Man1a
Dag1


Grcc10
Eps15l1
Apoh
Cd74
Nrgn
Rdh13


Ostc
Sec16b
Acsm3
Evl
Dync1li2
Ube2g1


Pgd
Ywhaq
Tomm22
Sorbs2
Snw1
Clec3b


Eif4ebp1
Gpihbp1
Ubqln2
Csde1
Naglu
Commd10


Sh3bgrl3
Sdr39u1
Oxsr1
Ppp3r1
Ddx19a
Ift20


Ddah2
Sra1
Zfand6
Pdxdc1
Gpld1
Hmox1


Timm50
Slc25a11
Lrg1
Try10
Epn2
Prpf3


Lsp1
Synpo
Ccdc6
Acbd3
Dip2b
Git1


Ddx3y
Golgb1
Ahctf1
Dctn3
Cygb
Gga2


Eif1b
Ptk2b
Uap1l1
Tes
Rock1
Rbm39


Wars2
Tjp2
Nav2
Gypc
Dnaja2
Tmcc3


Irf2bp2
Appl1
Pbx1
Cpeb4
Slc47a1
Mvd


Cnnl1
Hdac5
Cyp20a1
Stk24
Apoa5
Gpkow


Obscn
Bin2
Plcb3
Bcl2l1
Ppp1r1b
Col1a1


Reck
Slc12a7
Gkap1
Nufip2
Nup153
Snapin


Ube2c
Sart1
Bdh2
Vti1b
Golga4
Nisch


Tmem109
Rrs1
Cdk2ap1
Tor1aip1
Lemd3
Thap4


Kdelc1
Pde1a
Amfr
Polr1d
Atad2b
Bid


Ythdf2
Shroom2
Plekha7
Mkl2
Rsl1d1
Pxdn


Tnnc1
Cdkn2aip
Sh3gl2
Cisd2
Nck1
Inpp5d


Mkrn1
Ncoa1
Ly6d
Dhx29
Stat1
Vasp


Il16
Itgb1
Tff2
Gng2
Lsm14a
Zc3h4


Hs1bp3
Tom1l2
Med11
Nup50
Cryl1
Arhgef12


Afap1l2
Myo5b
Trip12
Hmbox1
Llgl2
Stk4


Zwint
Golga2
Rnf214
Hdac6
Tbc1d1
Slc5a8


Ssna1
Mtfr1
Pdlim3
Postn
Ranbp1
Myo18a


Dnajb6
Atxn3
Crebbp
Osbpl3
Snap23
Gigyf2


Mrpl40
Evc
Tubgcp3
Anks4b
Baiap2
Rilp


Lpl
Cgref1
Slc4a4
Plekhg3
Cwc15
Dnajc1


Tbl1xr1
Ubap1
Ctnnbip1
Tax1bp1
Gtf2i
Clcc1


Strn4
Usp47
U2af2
Ift140
Rab3ip
Phyhipl


Zyx
Thoc2
Cdc42ep4
Bin1
Ctcf
Mapre1


Rarres2
Galns
Psip1
Sncg
Snx4
Sec16a


Spast
Hmgb2
Clasp2
Notch2
Spats2
Lemd2


Ddn
Dus3l
Bad
Akr1c18
Faf2
Elavl1


Nhlrc3
Sorbs3
Gipc2
Sdhaf1
Coq5
Plcl1


Tmem51
Sin3a
Bmpr2
Zc3h11a
Glod5
Ranbp3


Supv3l1
Ppp1r10
Cdh11
Ptpn2
Irf3
Wasf2


Tarsl2
Smtnl2
Dao
Agfg1
Ap3d1
Plekha6


Cdkn2c
Cand1
Lama5
Ect2
Mta2
Nsfl1c


Pcif1
Cpm
Rbm6
Arih1
Ccdc12
Sntb2


Igkv12-46
Rasip1
Ppm1h
Sh3glb1
Ubap2
Tbcc


Amdhd2
Srp68
Myo1c
Sltm
Amn
Cnn2


Pik3r4
Pex1
Cnot2
Arhgap6
Tppp3
Eps8


Spa17
Abi1
Xab2
Ube3a
Rnf2
Pds5a


Soat1
Pcf11
Slc12a3
Sqstm1
Ankhd1
Limch1


Bod11
Tdrd3
Mrps14
Cherp
Prnp
Hbb-y


R3hdm1
Clip2
Ppig
Gopc
Pcdh1
Ankrd1l7


Chordc1
Snap47
Bsdc1
Usp8
Tpr
Rtf1


Lmtk2
Exoc6
Ncor1
Ubqln4
Tcof1
Slc12a1


Pycard
Cux1
Dnajb4
Atp6v1g3
Col15a1
Ndufa13


Hars
Sf3a1
Huwe1
Gas2
Mrpl43
Stx7


Trim28
Spag9
Atp1b1
Mylpf
Gosr1
Acy3


Slk
Arfip2
Ylpm1
Cst6
Stmn2
Calb1


Mapt
Ubap2l
Samd9l
Reps1
Habp4
Sumf2


Bag5
Mep1a
Cirbp
Alpl
Ndrg1
Triobp


Eml3
Nedd1
Dnajb12
Parp3
Ablim1
Susd2


Otud7b
Clic4
Gramd1b
Nudt19
Dnajb1
Dnajc2


Afg3l2
Srp72
Ripk1
Saa4
Tpd52
Nt5dc3


Numb
Tfam
Thrap3
Zfyve19
Dnajc19
Snx1


Fhl1
Pank1
Parva
Ptk2
Acyp1
Myl1


Rsu1
Wbp11
Folr1
Pacsin2
Ndufa7
Chchd6


Mmgt1
Aak1
Osbpl8
Sf3b2
Snrpb2
Eny2


Ccdc50
Sdc4
Pum1
Espn
Sftpb
Col18a1


Tacc2
Pik3c2a
Ccdc47
Itih5
Dbnl
Zeb2


Eef1e1
Hddc3
Ptma
Ssbp1
Igfbp7
Myo6


Arhgef18
Cfd
Zc3h14
Gm11992
Rbm3
Add3


Exoc3
Acox3
Gosr2
Osbpl6
Msh6
Chchd1


Atg16l1
Aftph
Nqo1
Stk3
Dync1i2
Dtnb


Lum
Luzp1
Lrrfip2
Itsn2
Cda
Ndufb5


Ubxn7
Ccdc9
Hnrnpc
Oxct1
Arpc1a
Snrpa


Pin1
Cc2d1b
Rab11fip3
Strn3
Lin7c
Hnrnpm


Phactr2
Pawr
Coro1a
Hnrnph3
Ppp1r12a
Ppp1r1a


Snap29
Serpinh1
Stx6
Tjp1
Pdzd11
Mtdh


Ly6a
Sp3
Brd4
Agrn
Vamp8
Ppp1r12c


Cab39l
Fkbpl5
Kdm4a
Eif3g
Mrpl41
Tagln2


Bola2
Atp6v1a
Atxn2
Pak3
Mybbp1a
Cttn


Sipa1l1
Pdcd10
Tomm34
Palld
Mrps26
Dnajc8


Pkn1
Nid2
Arhgap18
Tmod3
Cst3
Lmo7


Tmx4
Mylk
Rbm27
Scamp1
Hsp90ab1
Akr1c21


Fnbp11
Dido1
Bola3
Sorbs1
Ccdc124
Cd2ap


Acin1
Nup98
Pip4k2c
Eml4
Ddx11
Snx2


Clmn
Mep1b
Mrps36
Pfdn2
Phactr4
Add1


Mpp1
Snx18
Ccar1
Tcn2
Atp51
Serbp1


Vill
Pex14
Slc12a2
Ptprk
Cgnl1
Eno3


Akap8
Ubtf
Csrp1
Pdlim2
Csrp2
Ywhab


Ppp1r12b
Smtn
Ubac2
Plvap
Ambp
Eps8l2


Bsnd
Iqgap1
Arfgap3
Arhgef2
Sf3b1
Rab11fip5


Aif1
Hscb
Crkl
Trip10
Rad23b
2210011C24Rik


Aif1l
Ranbp2
Kif5b
Fnbp1
Ndufs4
Calml4


Psmb1
Ttc9c
Tubb2b
Fam107b
Rufy3
C4b


C2cd2l
Crk
Swap70
Anpep
Numa1
Cobll1


Dpep1
Dnajc12
Guca2b
Ptpn11
Lima1
Slc9a3r2


Ank3
Palm
Sept7
Dab2
Ndufa8
Vil1


Retnlb
Tns1
Gng12
Cltb
Fis1
Chchd3


G3bp1
Umod
Pfdn1
Coro1c
Pdzk1
Gm2a


Rbmx
Fus
Picalm
Lrp2
Cald1
Pdzk1ip1


Cacybp
Ndufb6
Apoa4
Ahnak
Tsks
S100a6


Enah
Ndufb10
Sprr1a
Ggt1
Uqcrb
Fxyd2


Chchd7
Fkbp3
Atp6v1f
Pvalb
Hnrnpu
Ndufa6


Sult1c2
Hspg2
Npm1
Ldhb
Lrpap1
Eif4b


Ctnnd1
Plxnb2
Cryab
Atp6v1g1
Lyz2
Fabp3


Ndufb7
Uqcrq
Lad1
Lyrm4
Cox6c
Slc9a3r1


Apoa1
Atpif1
S100g
Hbb-b2
















TABLE 9







Gene ontology by a process of the differently expressed proteins in the


liver and the kidney extracted with electroporation mapped with GOrilla














FDR
Enrichment


GO term
Description
P-value*
q-value**
(N, B, n, b)***





GO:0044281
small molecule metabolic
2.34E−50
1.90E−46
2.72 (1731, 323, 333, 169)



process





GO:0006082
organic acid metabolic
6.13E−44
2.48E−40
3.40 (1731, 209, 285, 117)



process





GO:0043436
oxoacid metabolic
7.64E−43
2.06E−39
3.39 (1731, 206, 285, 115)



process





GO:0019752
carboxylic acid metabolic
1.87E−41
3.78E−38
3.36 (1731, 204, 285, 113)



process





GO:0055114
oxidation-reduction
1.13E−37
1.84E−34
2.37 (1731, 218, 510, 152



process





GO:0044282
small molecule catabolic
8.09E−36
1.09E−32
4.49 (1731, 91, 292, 69)



process





GO:0008152
metabolic process
4.76E−35
5.51E−32
1.42 (1731, 914, 547, 411)


GO:0016054
organic acid catabolic
2.93E−30
2.97E−27
4.72 (1731, 72, 285, 56



process





GO:0046395
carboxylic acid catabolic
2.93E−30
2.64E−27
4.72 (1731, 72, 285, 56)



process





GO:0071704
organic substance
6.56E−30
5.32E−27
1.46 (1731, 816, 524, 360)



metabolic process





GO:0051186
cofactor metabolic
6.16E−27
4.54E−24
2.60 (1731, 145, 460, 100)



process





GO:0032787
monocarboxylic acid
6.35E−27
4.29E−24
2.74 (1731, 116, 480, 88)



metabolic process





GO:0017144
drug metabolic process
3.02E−26
1.88E−23
2.60 (1731, 143, 457, 98)


GO:0044237
cellular metabolic process
5.98E−26
3.46E−23
1.44 (1731, 794, 524, 346)


GO:0009056
catabolic process
2.33E−24
1.26E−21
2.43 (1731, 279, 294, 115)





*‘P-value’ is the enrichment p-value computed according to the mHG or HG model. This p-value is not corrected for multiple testing of 731 GO terms.


**‘FDR q-value’ is the correction of the above p-value for multiple testing using the Benjamini and Hochberg (1995) method.


Namely, for the ith term (ranked according to p-value) the FDR q-value is (p-value * a number of GO terms)/i.


***Enrichment (N, B, n, b) is defined as follows:


N - is the total number of genes


B - is the total number of genes associated with a specific GO term


n - is the number of genes in the top of the user's input list or in the target set when appropriate


b - is the number of genes in the intersection


Enrichment = (b/n)/(B/N)






Analysis of the function shows multiple significant functional differences between the liver and the kidney, these including catalytic activity, drug binding, and fatty-acyl-CoA binding, lyase activity, oxidoreductase activities expressed higher in the liver consistent with literature (Table 10, Table 11).









TABLE 10







Gene ontology by a function of the differently expressed proteins in the


liver and the kidney extracted with electroporation mapped with Gorilla














FDR
Enrichment


GO term
Description
P-value*
q-value**
(N, B, n, b)***





GO:0003824
catalytic activity
4.64E−50
 9.28E−47
1.75 (1731, 672, 480, 326)


GO:0016491
oxidoreductase activity
1.23E−37
 1.23E−34
2.78 (1731, 197, 398, 126)


GO:0048037
cofactor binding
2.47E−27
 1.64E−24
2.56 (1731, 141, 484, 101)


GO:0050662
coenzyme binding
9.02E−21
 4.5E−18
3.12 (1731, 93, 376, 63)


GO:0036094
small molecule binding
2.65E−14
 1.06E−11
2.13 (1731, 336, 230, 95)


GO:0031406
carboxylic acid binding
5.16E−12
1.72E−9
3.58 (1731, 49, 316, 32)


GO:0016829
lyase activity
1.47E−11
4.21E−9
3.50 (1731, 46, 333, 31)


GO:0043177
organic acid binding
 2.7E−11
6.74E−9
3.44 (1731, 51, 316, 32)


GO:0042802
identical protein binding
6.05E−11
1.34E−8
2.46 (1731, 299, 127, 54)


GO:1901265
nucleoside phosphate
2.98E−9 
5.95E−7
1.43 (1731, 257, 743, 158)



binding





GO:0000166
nucleotide binding
2.98E−9 
5.41E−7
1.43 (1731, 257, 743, 158)


GO:0016616
oxidoreductase activity,
4.38E−9 
 7.3E−7
4.04 (1731, 43, 229, 23)



acting on the CH—OH






group of donors, NAD or






NADP as acceptor





GO:0016836
hydro-lyase activity
5.24E−9 
8.05E−7
6.79 (1731, 17, 195, 13)


GO:0051287
NAD binding
6.27E−9 
8.94E−7
3.31 (1731, 29, 415, 23)


GO:0003735
structural constituent of
1.69E−8 
2.25E−6
2.67 (1731, 35, 518, 28)



ribosome





*‘P-value’ is the enrichment p-value computed according to the mHG or HG model. This p-value is not corrected for multiple testing of 731 GO terms.


**‘FDR q-value’ is the correction of the above p-value for multiple testing using the Benjamini and Hochberg (1995) method.


Namely, for the ith term (ranked according to p-value) the FDR q-value is (p-value * a number of GO terms)/i.


***Enrichment (N, B, n, b) is defined as follows:


N - is the total number of genes


B - is the total number of genes associated with a specific GO term


n - is the number of genes in the top of the user's input list or in the target set when appropriate


b - is the number of genes in the intersection


Enrichment = (b/n)/(B/N)





















TABLE 11








FDR q-







GO Term
Description
P-value
value
Enrichment
N
B
n
b























GO:0003824
catalytic activity
4.64E−50
9.28E−47
1.75
1731
672
480
326


GO:0016491
oxidoreductase activity
1.23E−37
1.23E−34
2.78
1731
197
398
126


GO:0048037
cofactor binding
2.47E−27
1.64E−24
2.56
1731
141
484
101


GO:0050662
coenzyme binding
9.02E−21
4.50E−18
3.12
1731
93
376
63


GO:0036094
small molecule binding
2.65E−14
1.06E−11
2.13
1731
336
230
95


GO:0031406
carboxylic acid binding
5.16E−12
1.72E−09
3.58
1731
49
316
32


GO:0016829
lyase activity
1.47E−11
4.21E−09
3.5
1731
46
333
31


GO:0043177
organic acid binding
2.70E−11
6.74E−09
3.44
1731
51
316
32


GO:0042802
identical protein binding
6.05E−11
1.34E−08
2.46
1731
299
127
54


GO:1901265
nucleoside phosphate
2.98E−09
5.95E−07
1.43
1731
257
743
158



binding


GO:0000166
nucleotide binding
2.98E−09
5.41E−07
1.43
1731
257
743
158


GO:0016616
oxidoreductase activity,
4.38E−09
7.30E−07
4.04
1731
43
229
23



acting on the CH—OH



group of donors, NAD



or NADP as acceptor


GO:0016836
hydro-lyase activity
5.24E−09
8.05E−07
6.79
1731
17
195
13


GO:0051287
NAD binding
6.27E−09
8.94E−07
3.31
1731
29
415
23


GO:0003735
structural constituent of
1.69E−08
2.25E−06
2.67
1731
35
518
28



ribosome


GO:0016614
oxidoreductase activity,
1.87E−08
2.34E−06
2.62
1731
46
460
32



acting on CH—OH group



of donors


GO:0016620
oxidoreductase activity,
4.74E−08
5.57E−06
3.6
1731
19
430
17



acting on the aldehyde



or oxo group of donors,



NAD or NADP as



acceptor


GO:0016853
isomerase activity
5.26E−08
5.84E−06
2.31
1731
37
628
31


GO:0016835
carbon-oxygen lyase
5.38E−08
5.66E−06
6.07
1731
19
195
13



activity


GO:0043167
ion binding
6.73E−08
6.72E−06
1.93
1731
614
76
52


GO:0016903
oxidoreductase activity,
7.58E−08
7.21E−06
3.45
1731
21
430
18



acting on the aldehyde



or oxo group of donors


GO:0016765
transferase activity,
2.39E−07
2.17E−05
4.16
1731
12
416
12



transferring alkyl or aryl



(other than methyl)



groups


GO:0050660
flavin adenine
2.49E−07
2.16E−05
3.01
1731
24
480
20



dinucleotide binding


GO:0043168
anion binding
2.63E−07
2.19E−05
1.77
1731
337
221
76


GO:0008144
drug binding
3.66E−07
2.93E−05
3.23
1731
191
73
26


GO:0016860
intramolecular
6.25E−07
4.80E−05
3.5
1731
13
495
13



oxidoreductase activity


GO:0016597
amino acid binding
8.89E−07
6.58E−05
12.15
1731
19
60
8


GO:0016209
antioxidant activity
1.07E−06
7.63E−05
6.44
1731
31
104
12


GO:0003988
acetyl-CoA C-
1.25E−06
8.62E−05
11.62
1731
6
149
6



acyltransferase activity


GO:0016645
oxidoreductase activity,
1.72E−06
1.15E−04
6.06
1731
10
257
9



acting on the CH—NH



group of donors


GO:0004029
aldehyde dehydrogenase
1.90E−06
1.22E−04
9.47
1731
8
160
7



(NAD) activity


GO:1901567
fatty acid derivative
2.43E−06
1.52E−04
5.46
1731
16
218
11



binding


GO:0033218
amide binding
3.29E−06
1.99E−04
2.9
1731
61
245
25


GO:0050661
NADP binding
5.66E−06
3.33E−04
3.74
1731
16
376
13


GO:0019842
vitamin binding
6.76E−06
3.86E−04
3.83
1731
33
219
16


GO:0009055
electron transfer activity
7.06E−06
3.92E−04
2.55
1731
30
498
22


GO:0042803
protein
1.02E−05
5.48E−04
2.26
1731
143
198
37



homodimerization



activity


GO:0016627
oxidoreductase activity,
1.05E−05
5.55E−04
4.04
1731
25
240
14



acting on the CH—CH



group of donors


GO:0097159
organic cyclic
1.19E−05
6.11E−04
1.38
1731
556
307
136



compound binding


GO:0016787
hydrolase activity
1.37E−05
6.86E−04
1.32
1731
273
720
150


GO:0004364
glutathione transferase
1.48E−05
7.20E−04
4.16
1731
9
416
9



activity


GO:0016740
transferase activity
2.40E−05
1.14E−03
1.88
1731
165
285
51


GO:0000062
fatty-acyl-CoA binding
2.53E−05
1.18E−03
5.5
1731
13
218
9


GO:0005506
iron ion binding
3.49E−05
1.58E−03
3.03
1731
20
428
15


GO:1901363
heterocyclic compound
4.34E−05
1.93E−03
1.37
1731
536
307
130



binding


GO:0016408
C-acyltransferase
4.55E−05
1.98E−03
8.71
1731
8
149
6



activity


GO:0072341
modified amino acid
4.89E−05
2.08E−03
5.8
1731
17
158
9



binding


GO:0003857
3-hydroxyacyl-CoA
5.38E−05
2.24E−03
7.61
1731
7
195
6



dehydrogenase activity


GO:0016684
oxidoreductase activity,
6.70E−05
2.73E−03
7.01
1731
19
104
8



acting on peroxide as



acceptor


GO:0015036
disulfide oxidoreductase
6.74E−05
2.69E−03
2.19
1731
15
789
15



activity


GO:0046983
protein dimerization
7.45E−05
2.92E−03
1.98
1731
182
202
42



activity


GO:0016705
oxidoreductase activity,
7.78E−05
2.99E−03
2.68
1731
24
457
17



acting on paired donors,



with incorporation or



reduction of molecular



oxygen


GO:0016667
oxidoreductase activity,
8.24E−05
3.11E−03
2.08
1731
19
789
18



acting on a sulfur group



of donors


GO:0008483
transaminase activity
9.59E−05
3.55E−03
8.05
1731
5
215
5


GO:0033293
monocarboxylic acid
1.04E−04
3.77E−03
3.28
1731
19
361
13



binding


GO:0016830
carbon-carbon lyase
1.05E−04
3.74E−03
3.57
1731
18
323
12



activity


GO:0043169
cation binding
1.13E−04
3.97E−03
2.2
1731
368
60
28


GO:0003995
acyl-CoA
1.16E−04
3.99E−03
6.81
1731
7
218
6



dehydrogenase activity


GO:0005504
fatty acid binding
1.27E−04
4.31E−03
2.72
1731
17
524
14


GO:0008395
steroid hydroxylase
1.30E−04
4.34E−03
3.79
1731
8
457
8



activity


GO:0046914
transition metal ion
1.36E−04
4.46E−03
2.58
1731
122
132
24



binding


GO:0000287
magnesium ion binding
1.47E−04
4.72E−03
2.26
1731
30
535
21


GO:0051213
dioxygenase activity
1.64E−04
5.20E−03
17.35
1731
7
57
4


GO:0003674
molecular function
2.05E−04
6.40E−03
1.02
1731
1672
959
942


GO:0016453
C-acetyltransferase
2.12E−04
6.50E−03
20.61
1731
3
84
3



activity


GO:0003985
acetyl-CoA C-
2.12E−04
6.40E−03
20.61
1731
3
84
3



acetyltransferase activity


GO:0004497
monooxygenase activity
2.24E−04
6.68E−03
2.79
1731
19
457
14


GO:0016874
ligase activity
2.40E−04
7.04E−03
1.99
1731
27
710
22


GO:0052689
carboxylic ester
2.91E−04
8.43E−03
1.76
1731
22
937
21



hydrolase activity


GO:0016702
oxidoreductase activity,
3.58E−04
1.02E−02
22.78
1731
4
57
3



acting on single donors



with incorporation of



molecular oxygen,



incorporation of two



atoms of oxygen


GO:0016701
oxidoreductase activity,
3.58E−04
1.01E−02
22.78
1731
4
57
3



acting on single donors



with incorporation of



molecular oxygen


GO:0004300
enoyl-CoA hydratase
3.88E−04
1.08E−02
7.4
1731
6
195
5



activity


GO:0015078
proton transmembrane
4.09E−04
1.12E−02
4.29
1731
24
168
10



transporter activity


GO:0020037
heme binding
4.37E−04
1.18E−02
2.75
1731
25
378
15


GO:0004601
peroxidase activity
4.44E−04
1.18E−02
6.47
1731
18
104
7


GO:0004602
glutathione peroxidase
4.46E−04
1.17E−02
5.45
1731
7
272
6



activity


GO:0048029
monosaccharide binding
4.55E−04
1.18E−02
2.1
1731
16
772
15


GO:0030170
pyridoxal phosphate
5.10E−04
1.31E−02
3
1731
14
454
11



binding


GO:0017076
purine nucleotide
5.14E−04
1.30E−02
1.33
1731
193
743
110



binding


GO:0046872
metal ion binding
5.45E−04
1.36E−02
2.77
1731
360
26
15


GO:0043531
ADP binding
5.93E−04
1.46E−02
7.9
1731
18
73
6


GO:0016651
oxidoreductase activity,
6.07E−04
1.48E−02
2.05
1731
29
612
21



acting on NAD(P)H


GO:0016746
transferase activity,
6.35E−04
1.53E−02
5.55
1731
29
86
8



transferring acyl groups


GO:0016769
transferase activity,
6.70E−04
1.59E−02
6.71
1731
6
215
5



transferring nitrogenous



groups


GO:0030554
adenyl nucleotide
6.81E−04
1.60E−02
1.86
1731
164
221
39



binding


GO:0051920
peroxiredoxin activity
7.22E−04
1.68E−02
11.1
1731
6
104
4


GO:0046906
tetrapyrrole binding
8.23E−04
1.89E−02
2.64
1731
26
378
15


GO:0015643
toxic substance binding
8.61E−04
1.95E−02
66.58
1731
4
13
2


GO:0005542
folic acid binding
9.24E−04
2.07E−02
9.17
1731
5
151
4









Analysis by component showed large differences in mitochondrion related proteins extracted from the liver vs. kidney (Table 12, Table 13).









TABLE 12







Gene ontology by a component of the differently expressed proteins in the


liver and the kidney extracted with electroporation mapped with Gorilla














FDR
Enrichment


GO term
Description
P-value*
q-value**
(N, B, n, b)***





GO:0005739
mitochondrion
4.63E−37
5.23E−34
2.00 (1731, 429, 432, 214


GO:0044429
mitochondrial part
 9.3E−20
5.26E−17
1.90 (1731, 235, 542, 140)


GO:0044444
cytoplasmic part
 4.7E−16
1.77E−13
1.24 (1731, 1195, 428, 366)


GO:0005743
mitochondrial inner
4.81E−16
1.36E−13
1.96 (1731, 144, 612, 100)



membrane





GO:0031966
mitochondrial
9.05E−16
2.05E−13
2.22 (1731, 175, 401, 90)



membrane





GO:0043209
myelin sheath
7.47E−15
1.41E−12
2.30 (1731, 78, 597, 62)


GO:0019866
organelle inner
2.18E−14
3.52E−12
1.97 (1731, 149, 559, 95)



membrane





GO:0043233
organelle lumen
1.2E−9
1.69E−7 
2.30 (1731, 94, 408, 51)


GO:0070013
intracellular organelle
1.2E−9
1.5E−7
2.30 (1731, 94, 408, 51)



lumen





GO:0031974
membrane-enclosed
1.2E−9
1.35E−7 
2.30 (1731, 94, 408, 51)



lumen





GO:0022627
cytosolic small
1.84E−9 
1.89E−7 
4.06 (1731, 20, 384, 18)



ribosomal subunit





GO:0042579
microbody
3.44E−9 
3.24E−7 
2.61 (1731, 47, 480, 34)


GO:0005777
peroxisome
9.61E−9 
8.36E−7 
2.59 (1731, 46, 480, 33)


GO:0005759
mitochondrial matrix
1.65E−8 
1.33E−6 
2.20 (1731, 48, 623, 38)


GO:0031090
organelle membrane
3.01E−7 
2.27E−5 
1.56 (1731, 296, 401, 107)





*‘P-value’ is the enrichment p-value computed according to the mHG or HG model. This p-value is not corrected for multiple testing of 731 GO terms.


**‘FDR q-value’ is the correction of the above p-value for multiple testing using the Benjamini and Hochberg (1995) method.


Namely, for the ith term (ranked according to p-value) the FDR q-value is (p-value * a number of GO terms)/i.


***Enrichment (N, B, n, b) is defined as follows:


N - is the total number of genes


B - is the total number of genes associated with a specific GO term


n - is the number of genes in the top of the user's input list or in the target set when appropriate


b - is the number ot genes in the intersection


Enrichment = (b/n)/(B/N)





















TABLE 13








FDR q-







GO Term
Description
P-value
value
Enrichment
N
B
n
b























GO:0005739
mitochondrion
4.63E−37
5.23E−34
2
1731
429
432
214


GO:0044429
mitochondrial part
9.30E−20
5.26E−17
1.9
1731
235
542
140


GO:0044444
cytoplasmic part
4.70E−16
1.77E−13
1.24
1731
1195
428
366


GO:0005743
mitochondrial inner
4.81E−16
1.36E−13
1.96
1731
144
612
100



membrane


GO:0031966
mitochondrial
9.05E−16
2.05E−13
2.22
1731
175
401
90



membrane


GO:0043209
myelin sheath
7.47E−15
1.41E−12
2.3
1731
78
597
62


GO:0019866
organelle inner
2.18E−14
3.52E−12
1.97
1731
149
559
95



membrane


GO:0043233
organelle lumen
1.20E−09
1.69E−07
2.3
1731
94
408
51


GO:0070013
intracellular
1.20E−09
1.50E−07
2.3
1731
94
408
51



organelle lumen


GO:0031974
membrane-enclosed
1.20E−09
1.35E−07
2.3
1731
94
408
51



lumen


GO:0022627
cytosolic small
1.84E−09
1.89E−07
4.06
1731
20
384
18



ribosomal subunit


GO:0042579
microbody
3.44E−09
3.24E−07
2.61
1731
47
480
34


GO:0005777
peroxisome
9.61E−09
8.36E−07
2.59
1731
46
480
33


GO:0005759
mitochondrial matrix
1.65E−08
1.33E−06
2.2
1731
48
623
38


GO:0031090
organelle membrane
3.01E−07
2.27E−05
1.56
1731
296
401
107


GO:0043231
intracellular
9.01E−07
6.37E−05
1.16
1731
1166
409
320



membrane-bounded



organelle


GO:0044391
ribosomal subunit
1.08E−06
7.19E−05
2.3
1731
45
518
31


GO:0005829
cytosol
1.10E−06
6.89E−05
2.07
1731
504
68
41


GO:0015935
small ribosomal
1.80E−06
1.07E−04
3.25
1731
25
384
18



subunit


GO:0005783
endoplasmic
5.70E−06
3.22E−04
1.42
1731
200
701
115



reticulum


GO:0005840
ribosome
6.21E−06
3.34E−04
2.53
1731
45
396
26


GO:0098798
mitochondrial protein
1.72E−05
8.81E−04
1.52
1731
97
796
68



complex


GO:0043227
membrane-bounded
4.11E−05
2.02E−03
1.13
1731
1227
409
327



organelle


GO:0044455
mitochondrial
4.22E−05
1.99E−03
1.67
1731
83
651
52



membrane part


GO:1990204
oxidoreductase
4.78E−05
2.16E−03
1.89
1731
52
618
35



complex


GO:0098800
inner mitochondrial
7.06E−05
3.07E−03
1.73
1731
66
651
43



membrane protein



complex


GO:0005782
peroxisomal matrix
7.32E−05
3.06E−03
247.29
1731
7
2
2


GO:0031907
microbody lumen
7.32E−05
2.96E−03
247.29
1731
7
2
2


GO:0005751
mitochondrial
1.54E−04
5.98E−03
7.46
1731
5
232
5



respiratory chain



complex IV


GO:0005758
mitochondrial
1.54E−04
5.82E−03
2.68
1731
27
406
17



intermembrane space


GO:0044424
intracellular part
2.16E−04
7.88E−03
1.04
1731
1533
841
773


GO:0042645
mitochondrial
2.59E−04
9.13E−03
3.42
1731
20
304
12



nucleoid


GO:0009295
nucleoid
2.59E−04
8.85E−03
3.42
1731
20
304
12


GO:0022625
cytosolic large
3.39E−04
1.13E−02
3.04
1731
11
518
10



ribosomal subunit


GO:0045259
proton-transporting
5.00E−04
1.61E−02
2.67
1731
12
595
11



ATP synthase



complex


GO:0005753
mitochondrial
5.00E−04
1.57E−02
2.67
1731
12
595
11



proton-transporting



ATP synthase



complex


GO:0005615
extracellular space
5.10E−04
1.56E−02
1.25
1731
190
980
134


GO:0045277
respiratory chain
5.42E−04
1.61E−02
3.66
1731
7
473
7



complex IV


GO:0044438
microbody part
7.66E−04
2.22E−02
2.81
1731
20
401
13


GO:0044439
peroxisomal part
7.66E−04
2.16E−02
2.81
1731
20
401
13


GO:0042788
polysomal ribosome
9.97E−04
2.75E−02
3.36
1731
9
458
8










RNA and Proteins Differential Expression with e-Biopsy in HepG2 Human Tumor Model and Normal Liver in the Mouse.


The example of a HepG2 tumor in a mice liver is shown in FIG. 3A. Histological examination clearly shows abnormal cells and tissue structures at the tumor area (FIG. 3B) vs. a normal liver structure (FIG. 3C).


It was found that in the extracts from the HepG2 liver model in mice, RNA encoding for PLK_1, S100P, TMED3, TMSB10, and KIF23 were significantly higher expressed than RNA for these genes extracted from normal liver (FIG. 4).


As in the previous section, using semi-quantitative proteomic data, the following parameters were calculated for proteins extracted from the HepG2 tumor (Table 13): molecular weight (MW), normalized intensity for each sample (LFQ), and intensity and normalized within sample intensity (iBAQ). Using these quantitative data, we selected the list of most abundant proteins with iBAQ>107 for further analysis (Table 3). Histogram and density functions suggested that proteins extracted by e-biopsy have a heavy right tail distribution function. The skewness and kurtosis plots of MW suggested that MW has lognormal, gamma or Weibull distributions. The goodness of fit analysis (Table 14) suggests that MW of the most abundant proteins extracted by PEF is closer to lognormal distribution (smallest statistics for all checked criteria) (Table 15).









TABLE 14







The goodness of fit analysis of highly abundant electroporation


extracted HepG2 proteins (iBAQ > 107)











Weibull
lognormal
gamma










Goodness-of-fit statistics










Kolmogorov-Smirnov statistic
0.08502379
0.02567092
0.05181307


Cramer-von Mises statistic
2.15728759
0.16256876
1.04995599


Anderson-Darling statistic
17.59556665
1.31084115
7.67302556







Goodness-of-fit criteria










Akaike's Information Criterion
11712.26
11440.62
11584.03


Bayesian Information Criterion
11722.56
11450.91
11594.33
















TABLE 15







Parametric bootstrap medians and 95% percentile CI for lognormal


distribution of the MW of PEF extracted HepG2 proteins











Median
2.5%
97.5%















meanlog
3.4474497
3.4095316
3.486965



sdlog
0.6928734
0.6671016
0.719039









2782 proteins from HepG2 and normal liver were identified using unlabeled proteomic. Gene ontology analysis was performed for the associated genes (on the ranked list of differently expressed proteins, Table 1) using GOrilla, annotating the ranked gene list to the mouse genome. Analysis of the gene anthology by processes showed that macromolecules metabolic processes, nucleic acid metabolic processes, regulation of cellular processes and macromolecule biosynthesis processes were higher in HepG2 than in normal liver (Table 12, and Table 16).

















TABLE 16





GO Term
Description
P-value
FDR q-value
Enrichment
N
B
n
b























GO:0043170
macromolecule metabolic
2.47E−23
2.22E−19
1.36
2589
919
992
478



process


GO:0044260
cellular macromolecule
1.98E−21
8.93E−18
1.44
2589
648
992
358



metabolic process


GO:0090304
nucleic acid metabolic
5.93E−20
1.78E−16
1.64
2589
334
992
210



process


GO:0050789
regulation of biological
7.73E−20
1.74E−16
1.25
2589
1301
968
607



process


GO:0051171
regulation of nitrogen
1.08E−19
1.94E−16
1.57
2589
695
639
269



compound metabolic



process


GO:0050794
regulation of cellular
1.55E−19
2.33E−16
1.27
2589
1202
970
570



process


GO:0060255
regulation of
1.86E−19
2.40E−16
1.52
2589
718
689
291



macromolecule metabolic



process


GO:0080090
regulation of primary
8.83E−19
9.95E−16
1.54
2589
731
639
277



metabolic process


GO:0006412
translation
1.07E−16
1.07E−13
2.83
2589
161
398
70


GO:0048519
negative regulation of
1.57E−16
1.41E−13
1.45
2589
720
759
306



biological process


GO:0034645
cellular macromolecule
2.77E−16
2.27E−13
2.5
2589
231
381
85



biosynthetic process


GO:0009059
macromolecule
4.38E−16
3.29E−13
2.45
2589
241
381
87



biosynthetic process


GO:0048523
negative regulation of
4.78E−16
3.31E−13
1.47
2589
655
759
283



cellular process


GO:0043043
peptide biosynthetic
5.81E−16
3.74E−13
2.76
2589
165
398
70



process


GO:0010468
regulation of gene
7.68E−16
4.61E−13
1.53
2589
480
846
240



expression


GO:0031323
regulation of cellular
9.09E−16
5.12E−13
1.52
2589
751
574
253



metabolic process


GO:0031326
regulation of cellular
5.40E−15
2.86E−12
1.55
2589
441
838
221



biosynthetic process


GO:0019222
regulation of metabolic
6.45E−15
3.23E−12
1.41
2589
829
689
312



process


GO:0016070
RNA metabolic process
1.91E−14
9.06E−12
1.63
2589
263
992
164


GO:0048518
positive regulation of
2.76E−14
1.24E−11
1.41
2589
814
701
310



biological process


GO:0010556
regulation of
2.82E−14
1.21E−11
1.56
2589
405
838
205



macromolecule



biosynthetic process


GO:0044267
cellular protein metabolic
2.95E−14
1.21E−11
1.52
2589
450
820
216



process


GO:0032268
regulation of cellular
5.97E−14
2.34E−11
1.8
2589
394
497
136



protein metabolic process


GO:0051246
regulation of protein
6.00E−14
2.25E−11
1.77
2589
430
513
151



metabolic process


GO:0065007
biological regulation
6.15E−14
2.22E−11
1.23
2589
1417
759
511


GO:2000112
regulation of cellular
7.39E−14
2.56E−11
1.57
2589
390
838
198



macromolecule



biosynthetic process


GO:0010604
positive regulation of
7.91E−14
2.64E−11
1.67
2589
420
634
172



macromolecule metabolic



process


GO:0019538
protein metabolic process
1.05E−13
3.39E−11
1.4
2589
649
822
288


GO:0009889
regulation of biosynthetic
1.51E−13
4.68E−11
1.5
2589
466
838
227



process


GO:0019219
regulation of nucleobase-
1.92E−13
5.78E−11
1.48
2589
402
989
227



containing compound



metabolic process


GO:0048522
positive regulation of
5.71E−13
1.66E−10
1.43
2589
714
701
276



cellular process


GO:0010605
negative regulation of
6.82E−13
1.92E−10
1.66
2589
354
675
153



macromolecule metabolic



process


GO:0043604
amide biosynthetic process
7.19E−13
1.96E−10
2.38
2589
197
398
72


GO:0006518
peptide metabolic process
7.81E−13
2.07E−10
2.32
2589
210
398
75


GO:0051252
regulation of RNA
8.44E−13
2.17E−10
1.5
2589
342
970
192



metabolic process


GO:0051173
positive regulation of
1.09E−12
2.72E−10
1.62
2589
410
634
163



nitrogen compound



metabolic process


GO:0006396
RNA processing
1.21E−12
2.95E−10
1.7
2589
186
985
120


GO:0051172
negative regulation of
1.82E−12
4.32E−10
1.68
2589
324
675
142



nitrogen compound



metabolic process


GO:0031324
negative regulation of
1.87E−12
4.33E−10
1.58
2589
364
755
168



cellular metabolic process


GO:0034622
cellular protein-containing
2.29E−12
5.17E−10
1.86
2589
206
709
105



complex assembly


GO:0009892
negative regulation of
5.98E−12
1.31E−09
1.53
2589
413
755
184



metabolic process


GO:0002181
cytoplasmic translation
7.38E−12
1.58E−09
4.93
2589
29
398
22


GO:0009893
positive regulation of
1.20E−11
2.52E−09
1.53
2589
494
634
185



metabolic process


GO:0010608
posttranscriptional
1.30E−11
2.67E−09
2.69
2589
110
447
51



regulation of gene



expression


GO:0016071
mRNA metabolic process
1.85E−11
3.71E−09
1.77
2589
142
980
95


GO:0071840
cellular component
1.90E−11
3.73E−09
1.27
2589
860
925
390



organization or biogenesis


GO:0031325
positive regulation of
2.21E−11
4.24E−09
1.61
2589
436
567
154



cellular metabolic process


GO:0010628
positive regulation of gene
2.23E−11
4.18E−09
1.69
2589
242
772
122



expression


GO:0071826
ribonucleoprotein complex
2.44E−11
4.49E−09
2.02
2589
90
925
65



subunit organization


GO:2000278
regulation of DNA
3.67E−11
6.61E−09
8.47
2589
30
163
16



biosynthetic process


GO:0022618
ribonucleoprotein complex
4.43E−11
7.83E−09
2.03
2589
87
925
63



assembly


GO:0031328
positive regulation of
6.88E−11
1.19E−08
1.81
2589
236
626
103



cellular biosynthetic



process


GO:0051130
positive regulation of
1.08E−10
1.83E−08
1.66
2589
227
817
119



cellular component



organization


GO:0006397
mRNA processing
1.40E−10
2.33E−08
1.8
2589
122
980
83


GO:0051128
regulation of cellular
1.53E−10
2.50E−08
1.46
2589
416
817
192



component organization


GO:2000573
positive regulation of DNA
1.55E−10
2.49E−08
9.27
2589
24
163
14



biosynthetic process


GO:0032204
regulation of telomere
1.95E−10
3.08E−08
10.45
2589
23
140
13



maintenance


GO:0009891
positive regulation of
2.15E−10
3.35E−08
1.76
2589
249
626
106



biosynthetic process


GO:0043933
protein-containing complex
2.39E−10
3.65E−08
1.5
2589
428
709
176



subunit organization


GO:0051253
negative regulation of
2.52E−10
3.78E−08
1.98
2589
142
689
75



RNA metabolic process


GO:0008380
RNA splicing
2.71E−10
4.00E−08
1.85
2589
104
980
73


GO:0010629
negative regulation of gene
5.72E−10
8.31E−08
1.77
2589
212
689
100



expression


GO:0016043
cellular component
6.22E−10
8.89E−08
1.26
2589
836
925
375



organization


GO:0010557
positive regulation of
6.71E−10
9.45E−08
1.83
2589
213
626
94



macromolecule



biosynthetic process


GO:0045934
negative regulation of
8.22E−10
1.14E−07
1.82
2589
158
773
86



nucleobase-containing



compound metabolic



process


GO:0051052
regulation of DNA
9.44E−10
1.29E−07
3.38
2589
74
331
32



metabolic process


GO:0033043
regulation of organelle
1.03E−09
1.39E−07
1.62
2589
233
817
119



organization


GO:0045935
positive regulation of
1.37E−09
1.81E−07
1.84
2589
218
567
88



nucleobase-containing



compound metabolic



process


GO:0034248
regulation of cellular amide
1.43E−09
1.86E−07
2.56
2589
104
447
46



metabolic process


GO:1903506
regulation of nucleic acid-
1.94E−09
2.50E−07
1.57
2589
278
791
133



templated transcription


GO:2001141
regulation of RNA
2.20E−09
2.80E−07
1.56
2589
281
791
134



biosynthetic process


GO:1904851
positive regulation of
2.42E−09
3.03E−07
16.68
2589
9
138
8



establishment of protein



localization to telomere


GO:1904816
positive regulation of
2.42E−09
2.99E−07
16.68
2589
9
138
8



protein localization to



chromosome, telomeric



region


GO:0070203
regulation of establishment
2.42E−09
2.95E−07
16.68
2589
9
138
8



of protein localization to



telomere


GO:0070202
regulation of establishment
2.42E−09
2.91E−07
16.68
2589
9
138
8



of protein localization to



chromosome


GO:0032880
regulation of protein
2.79E−09
3.31E−07
2.04
2589
192
469
71



localization


GO:0022607
cellular component
4.23E−09
4.95E−07
1.42
2589
503
709
196



assembly


GO:0033044
regulation of chromosome
4.37E−09
5.05E−07
5.94
2589
56
140
18



organization


GO:0009890
negative regulation of
6.51E−09
7.43E−07
2.39
2589
182
309
52



biosynthetic process


GO:0032101
regulation of response to
6.63E−09
7.46E−07
6.96
2589
96
62
16



external stimulus


GO:0032206
positive regulation of
8.00E−09
8.90E−07
11.73
2589
16
138
10



telomere maintenance


GO:0006355
regulation of transcription,
8.68E−09
9.54E−07
1.55
2589
275
791
130



DNA-templated


GO:1904356
regulation of telomere
9.39E−09
1.02E−06
10.32
2589
20
138
11



maintenance via telomere



lengthening


GO:0006417
regulation of translation
9.64E−09
1.03E−06
2.56
2589
95
447
42


GO:0080134
regulation of response to
1.00E−08
1.06E−06
1.93
2589
196
512
75



stress


GO:1901998
toxin transport
1.27E−08
1.33E−06
12.99
2589
13
138
9


GO:0065003
protein-containing complex
1.33E−08
1.38E−06
1.48
2589
396
709
160



assembly


GO:1904814
regulation of protein
1.38E−08
1.41E−06
15.01
2589
10
138
8



localization to



chromosome, telomeric



region


GO:0008037
cell recognition
1.38E−08
1.40E−06
8.77
2589
23
154
12


GO:0031327
negative regulation of
1.60E−08
1.60E−06
2.42
2589
170
309
49



cellular biosynthetic



process


GO:1904951
positive regulation of
2.03E−08
2.01E−06
2.49
2589
93
469
42



establishment of protein



localization


GO:0031349
positive regulation of
2.05E−08
2.01E−06
9.63
2589
43
75
12



defense response


GO:0035036
sperm-egg recognition
2.14E−08
2.07E−06
5.9
2589
11
439
11


GO:0007339
binding of sperm to zona
2.14E−08
2.05E−06
5.9
2589
11
439
11



pellucida


GO:0048583
regulation of response to
2.33E−08
2.21E−06
1.46
2589
443
655
164



stimulus


GO:0050729
positive regulation of
3.01E−08
2.83E−06
18.56
2589
18
62
8



inflammatory response


GO:0010638
positive regulation of
4.01E−08
3.72E−06
1.82
2589
122
817
70



organelle organization


GO:0051054
positive regulation of DNA
4.15E−08
3.81E−06
3.75
2589
48
331
23



metabolic process


GO:0070201
regulation of establishment
4.59E−08
4.17E−06
2.45
2589
143
333
45



of protein localization


GO:0051247
positive regulation of
4.68E−08
4.22E−06
1.67
2589
240
634
98



protein metabolic process


GO:0032210
regulation of telomere
4.75E−08
4.24E−06
10.42
2589
18
138
10



maintenance via telomerase


GO:0031647
regulation of protein
4.82E−08
4.26E−06
4.65
2589
71
157
20



stability


GO:0032879
regulation of localization
4.93E−08
4.31E−06
2.18
2589
399
161
54


GO:2000113
negative regulation of
5.23E−08
4.53E−06
2.45
2589
154
309
45



cellular macromolecule



biosynthetic process


GO:2001252
positive regulation of
5.32E−08
4.57E−06
6.81
2589
38
140
14



chromosome organization


GO:0010558
negative regulation of
6.12E−08
5.20E−06
1.8
2589
161
689
77



macromolecule



biosynthetic process


GO:0050727
regulation of inflammatory
6.14E−08
5.17E−06
10.21
2589
45
62
11



response


GO:0051716
cellular response to
6.47E−08
5.40E−06
1.55
2589
428
498
128



stimulus


GO:0044419
interspecies interaction
8.49E−08
7.02E−06
2.06
2589
73
810
47



between organisms


GO:1904358
positive regulation of
9.82E−08
8.04E−06
11.26
2589
15
138
9



telomere maintenance via



telomere lengthening


GO:1903507
negative regulation of
1.01E−07
8.24E−06
1.96
2589
111
689
58



nucleic acid-templated



transcription


GO:0070887
cellular response to
1.04E−07
8.33E−06
1.7
2589
285
497
93



chemical stimulus


GO:0065009
regulation of molecular
1.08E−07
8.63E−06
1.99
2589
369
226
64



function


GO:0032502
developmental process
1.39E−07
1.10E−05
2.56
2589
545
63
34


GO:0032103
positive regulation of
1.42E−07
1.11E−05
10.99
2589
38
62
10



response to external



stimulus


GO:0031347
regulation of defense
1.46E−07
1.13E−05
6.16
2589
84
75
15



response


GO:0006259
DNA metabolic process
1.57E−07
1.21E−05
1.79
2589
86
991
59


GO:1902679
negative regulation of
1.57E−07
1.20E−05
1.95
2589
112
689
58



RNA biosynthetic process


GO:0032270
positive regulation of
1.80E−07
1.36E−05
2.25
2589
219
252
48



cellular protein metabolic



process


GO:0050896
response to stimulus
1.85E−07
1.39E−05
1.4
2589
752
441
179


GO:0045892
negative regulation of
2.03E−07
1.51E−05
1.95
2589
110
689
57



transcription, DNA-



templated


GO:0051049
regulation of transport
2.13E−07
1.58E−05
3.43
2589
292
62
24


GO:0006954
inflammatory response
2.16E−07
1.58E−05
9.04
2589
42
75
11


GO:0050793
regulation of
2.19E−07
1.59E−05
1.7
2589
323
429
91



developmental process


GO:0071345
cellular response to
2.46E−07
1.77E−05
2.29
2589
98
497
43



cytokine stimulus


GO:0030029
actin filament-based
2.51E−07
1.79E−05
2.37
2589
74
561
38



process


GO:0034097
response to cytokine
2.62E−07
1.86E−05
2.1
2589
120
523
51


GO:0065008
regulation of biological
2.85E−07
2.00E−05
1.83
2589
614
159
69



quality


GO:0007010
cytoskeleton organization
3.04E−07
2.12E−05
2.01
2589
126
561
55


GO:1902903
regulation of
3.06E−07
2.12E−05
2.13
2589
73
717
43



supramolecular fiber



organization


GO:0071310
cellular response to organic
3.10E−07
2.13E−05
1.75
2589
228
512
79



substance


GO:1901566
organonitrogen compound
4.14E−07
2.83E−05
1.7
2589
356
381
89



biosynthetic process


GO:1900046
regulation of hemostasis
4.19E−07
2.84E−05
3.85
2589
21
512
16


GO:0030193
regulation of blood
4.19E−07
2.82E−05
3.85
2589
21
512
16



coagulation


GO:0050818
regulation of coagulation
4.19E−07
2.80E−05
3.85
2589
21
512
16


GO:0009988
cell-cell recognition
4.64E−07
3.07E−05
11.55
2589
13
138
8


GO:0006325
chromatin organization
4.81E−07
3.16E−05
1.78
2589
82
991
56


GO:0010639
negative regulation of
4.96E−07
3.24E−05
2.1
2589
78
696
44



organelle organization


GO:0061041
regulation of wound
5.27E−07
3.41E−05
3.43
2589
28
512
19



healing


GO:0048584
positive regulation of
5.35E−07
3.45E−05
1.61
2589
262
602
98



response to stimulus


GO:0032271
regulation of protein
6.65E−07
4.25E−05
2.24
2589
58
717
36



polymerization


GO:0042274
ribosomal small subunit
8.87E−07
5.63E−05
11.85
2589
9
170
7



biogenesis


GO:0050707
regulation of cytokine
8.88E−07
5.60E−05
5.15
2589
21
311
13



secretion


GO:0044271
cellular nitrogen compound
9.28E−07
5.81E−05
1.66
2589
373
381
91



biosynthetic process


GO:0022402
cell cycle process
9.48E−07
5.89E−05
1.85
2589
95
810
55


GO:1902904
negative regulation of
9.56E−07
5.90E−05
2.91
2589
36
568
23



supramolecular fiber



organization


GO:0051494
negative regulation of
9.56E−07
5.86E−05
2.91
2589
36
568
23



cytoskeleton organization


GO:0051248
negative regulation of
1.01E−06
6.18E−05
1.8
2589
199
513
71



protein metabolic process


GO:0050790
regulation of catalytic
1.04E−06
6.27E−05
2.06
2589
289
226
52



activity


GO:0002376
immune system process
1.09E−06
6.55E−05
1.93
2589
185
434
60


GO:0032212
positive regulation of
1.09E−06
6.52E−05
4.52
2589
14
491
12



telomere maintenance via



telomerase


GO:0061013
regulation of mRNA
1.37E−06
8.12E−05
3.63
2589
31
414
18



catabolic process


GO:0000028
ribosomal small subunit
1.40E−06
8.27E−05
9.1
2589
11
207
8



assembly


GO:0030162
regulation of proteolysis
1.55E−06
9.09E−05
1.96
2589
146
497
55


GO:0051050
positive regulation of
1.63E−06
9.50E−05
4.25
2589
177
62
18



transport


GO:1903312
negative regulation of
1.66E−06
9.56E−05
5.5
2589
30
204
13



mRNA metabolic process


GO:1903827
regulation of cellular
1.70E−06
9.75E−05
2.07
2589
124
484
48



protein localization


GO:0051972
regulation of telomerase
1.80E−06
1.03E−04
6.02
2589
13
331
10



activity


GO:0051973
positive regulation of
1.80E−06
1.02E−04
6.02
2589
13
331
10



telomerase activity


GO:0051239
regulation of multicellular
1.88E−06
1.06E−04
2.87
2589
378
62
26



organismal process


GO:0045595
regulation of cell
1.95E−06
1.09E−04
1.74
2589
218
491
72



differentiation


GO:0000377
RNA splicing, via
2.11E−06
1.17E−04
1.84
2589
66
980
46



transesterification reactions



with bulged adenosine as



nucleophile


GO:0000375
RNA splicing, via
2.11E−06
1.17E−04
1.84
2589
66
980
46



transesterification reactions


GO:0000398
mRNA splicing, via
2.11E−06
1.16E−04
1.84
2589
66
980
46



spliceosome


GO:0006334
nucleosome assembly
2.34E−06
1.28E−04
2.66
2589
24
811
20


GO:0009894
regulation of catabolic
2.35E−06
1.28E−04
1.83
2589
184
501
65



process


GO:0043488
regulation of mRNA
2.40E−06
1.30E−04
3.67
2589
29
414
17



stability


GO:0034728
nucleosome organization
2.76E−06
1.48E−04
2.47
2589
29
830
23


GO:0090087
regulation of peptide
2.85E−06
1.52E−04
2.29
2589
136
333
40



transport


GO:0051129
negative regulation of
2.88E−06
1.53E−04
1.78
2589
136
673
63



cellular component



organization


GO:1903829
positive regulation of
2.98E−06
1.57E−04
2.77
2589
82
319
28



cellular protein localization


GO:0015669
gas transport
3.12E−06
1.63E−04
129.45
2589
6
10
3


GO:0050821
protein stabilization
3.28E−06
1.71E−04
4.76
2589
52
157
15


GO:0032269
negative regulation of
3.28E−06
1.70E−04
1.79
2589
189
513
67



cellular protein metabolic



process


GO:0006357
regulation of transcription
3.30E−06
1.70E−04
1.59
2589
177
789
86



by RNA polymerase II


GO:0002697
regulation of immune
3.59E−06
1.84E−04
7.07
2589
61
66
11



effector process


GO:1903034
regulation of response to
3.73E−06
1.90E−04
3.06
2589
33
512
20



wounding


GO:0051704
multi-organism process
3.74E−06
1.89E−04
1.68
2589
165
690
74


GO:0043254
regulation of protein
3.83E−06
1.93E−04
2
2589
105
580
47



complex assembly


GO:1900047
negative regulation of
4.06E−06
2.03E−04
5.8
2589
14
319
10



hemostasis


GO:0030195
negative regulation of
4.06E−06
2.02E−04
5.8
2589
14
319
10



blood coagulation


GO:0050819
negative regulation of
4.06E−06
2.01E−04
5.8
2589
14
319
10



coagulation


GO:0010033
response to organic
4.06E−06
2.00E−04
2.73
2589
371
69
27



substance


GO:0051493
regulation of cytoskeleton
4.08E−06
2.00E−04
1.74
2589
112
810
61



organization


GO:0043603
cellular amide metabolic
4.12E−06
2.01E−04
1.7
2589
295
398
77



process


GO:0006952
defense response
4.49E−06
2.18E−04
1.98
2589
131
500
50


GO:0043487
regulation of RNA stability
4.57E−06
2.20E−04
3.31
2589
30
469
18


GO:0051241
negative regulation of
4.66E−06
2.23E−04
2.11
2589
140
395
45



multicellular organismal



process


GO:0030036
actin cytoskeleton
4.78E−06
2.28E−04
2.31
2589
66
561
33



organization


GO:0002682
regulation of immune
4.88E−06
2.32E−04
1.93
2589
173
427
55



system process


GO:1902369
negative regulation of
4.92E−06
2.32E−04
3.04
2589
19
717
16



RNA catabolic process


GO:0032272
negative regulation of
5.00E−06
2.35E−04
2.58
2589
27
779
21



protein polymerization


GO:0006139
nucleobase-containing
6.19E−06
2.89E−04
1.24
2589
550
992
262



compound metabolic



process


GO:0031329
regulation of cellular
6.45E−06
3.00E−04
1.9
2589
160
469
55



catabolic process


GO:1902533
positive regulation of
6.55E−06
3.03E−04
2.83
2589
114
217
27



intracellular signal



transduction


GO:0050710
negative regulation of
6.59E−06
3.03E−04
8
2589
8
283
7



cytokine secretion


GO:0043489
RNA stabilization
6.76E−06
3.09E−04
2.82
2589
16
862
15


GO:1902373
negative regulation of
6.76E−06
3.08E−04
7.14
2589
16
204
9



mRNA catabolic process


GO:0022414
reproductive process
6.81E−06
3.09E−04
1.67
2589
126
824
67


GO:0045727
positive regulation of
7.73E−06
3.48E−04
2.68
2589
34
626
22



translation


GO:0044093
positive regulation of
7.75E−06
3.48E−04
3.79
2589
232
50
17



molecular function


GO:0002819
regulation of adaptive
7.76E−06
3.46E−04
12.48
2589
22
66
7



immune response


GO:0098760
response to interleukin-7
8.26E−06
3.67E−04
8.31
2589
14
178
8


GO:0098761
cellular response to
8.26E−06
3.65E−04
8.31
2589
14
178
8



interleukin-7


GO:0110053
regulation of actin filament
8.33E−06
3.66E−04
1.92
2589
58
908
39



organization


GO:0051254
positive regulation of RNA
8.55E−06
3.74E−04
1.48
2589
175
980
98



metabolic process


GO:0006413
translational initiation
8.68E−06
3.78E−04
2.27
2589
33
863
25


GO:0051240
positive regulation of
8.89E−06
3.85E−04
3.45
2589
230
62
19



multicellular organismal



process


GO:0009987
cellular process
9.10E−06
3.92E−04
1.08
2589
2086
679
590


GO:0002791
regulation of peptide
9.13E−06
3.92E−04
6.48
2589
72
61
11



secretion


GO:0006996
organelle organization
9.31E−06
3.98E−04
1.3
2589
380
991
189


GO:0071824
protein-DNA complex
9.32E−06
3.96E−04
2.34
2589
32
830
24



subunit organization


GO:2001020
regulation of response to
1.07E−05
4.51E−04
4.16
2589
28
311
14



DNA damage stimulus


GO:0044265
cellular macromolecule
1.08E−05
4.55E−04
1.64
2589
126
852
68



catabolic process


GO:0006511
ubiquitin-dependent
1.14E−05
4.77E−04
1.79
2589
86
841
50



protein catabolic process


GO:0034250
positive regulation of
1.24E−05
5.19E−04
2.57
2589
37
626
23



cellular amide metabolic



process


GO:0022604
regulation of cell
1.38E−05
5.74E−04
2.35
2589
83
425
32



morphogenesis


GO:0002821
positive regulation of
1.39E−05
5.75E−04
14.71
2589
16
66
6



adaptive immune response


GO:0031399
regulation of protein
1.45E−05
5.96E−04
2.22
2589
218
198
37



modification process


GO:0045597
positive regulation of cell
1.59E−05
6.53E−04
2.88
2589
134
168
25



differentiation


GO:0016072
rRNA metabolic process
1.64E−05
6.70E−04
3.19
2589
57
285
20


GO:1903311
regulation of mRNA
1.67E−05
6.77E−04
1.75
2589
71
980
47



metabolic process


GO:0010646
regulation of cell
1.68E−05
6.80E−04
2.57
2589
362
75
27



communication


GO:0044087
regulation of cellular
1.71E−05
6.87E−04
1.49
2589
169
946
92



component biogenesis


GO:0051222
positive regulation of
1.72E−05
6.91E−04
2.28
2589
83
452
33



protein transport


GO:0009966
regulation of signal
1.82E−05
7.24E−04
2.11
2589
312
157
40



transduction


GO:0048255
mRNA stabilization
1.85E−05
7.36E−04
2.8
2589
15
862
14


GO:0016032
viral process
1.95E−05
7.72E−04
2.25
2589
32
863
24


GO:0044403
symbiont process
1.95E−05
7.68E−04
2.25
2589
32
863
24


GO:0042981
regulation of apoptotic
2.14E−05
8.37E−04
2.28
2589
249
155
34



process


GO:0008064
regulation of actin
2.21E−05
8.60E−04
2.17
2589
50
717
30



polymerization or



depolymerization


GO:0023051
regulation of signaling
2.31E−05
8.99E−04
2.53
2589
368
75
27


GO:0051223
regulation of protein
2.48E−05
9.57E−04
2.2
2589
131
333
37



transport


GO:0065004
protein-DNA complex
2.48E−05
9.57E−04
2.46
2589
26
811
20



assembly


GO:0030833
regulation of actin filament
2.49E−05
9.54E−04
1.98
2589
46
908
32



polymerization


GO:0006457
protein folding
2.49E−05
9.50E−04
3.36
2589
77
190
19


GO:1900180
regulation of protein
2.54E−05
9.67E−04
3.92
2589
29
319
14



localization to nucleus


GO:0006950
response to stress
2.59E−05
9.81E−04
2.31
2589
423
82
31


GO:0006364
rRNA processing
2.87E−05
1.08E−03
3.2
2589
54
285
19


GO:0030834
regulation of actin filament
3.09E−05
1.16E−03
2.53
2589
25
779
19



depolymerization


GO:0015671
oxygen transport
3.11E−05
1.16E−03
323.62
2589
4
4
2


GO:0043067
regulation of programmed
3.12E−05
1.16E−03
2.24
2589
253
155
34



cell death


GO:0019220
regulation of phosphate
3.15E−05
1.17E−03
1.44
2589
224
825
103



metabolic process


GO:0051174
regulation of phosphorus
3.15E−05
1.16E−03
1.44
2589
224
825
103



metabolic process


GO:0006919
activation of cysteine-type
3.17E−05
1.16E−03
19.26
2589
16
42
5



endopeptidase activity



involved in apoptotic



process


GO:0010941
regulation of cell death
3.35E−05
1.23E−03
2.15
2589
286
156
37


GO:0090303
positive regulation of
3.36E−05
1.22E−03
3.04
2589
11
851
11



wound healing


GO:0010564
regulation of cell cycle
3.46E−05
1.26E−03
1.83
2589
84
757
45



process


GO:0006807
nitrogen compound
3.49E−05
1.26E−03
1.16
2589
1255
671
378



metabolic process


GO:0052547
regulation of peptidase
3.50E−05
1.26E−03
2.95
2589
87
222
22



activity


GO:0030832
regulation of actin filament
3.87E−05
1.39E−03
2.12
2589
51
717
30



length


GO:0019941
modification-dependent
3.97E−05
1.42E−03
1.73
2589
91
841
51



protein catabolic process


GO:0034641
cellular nitrogen compound
4.03E−05
1.44E−03
1.18
2589
775
992
350



metabolic process


GO:0051693
actin filament capping
4.17E−05
1.48E−03
2.77
2589
18
779
15


GO:0051276
chromosome organization
4.20E−05
1.48E−03
1.82
2589
53
991
37


GO:0000122
negative regulation of
4.76E−05
1.68E−03
1.99
2589
68
689
36



transcription by RNA



polymerase II


GO:0034114
regulation of heterotypic
5.20E−05
1.82E−03
11.01
2589
6
196
5



cell-cell adhesion


GO:2001233
regulation of apoptotic
5.25E−05
1.83E−03
2.25
2589
81
441
31



signaling pathway


GO:0050776
regulation of immune
5.41E−05
1.88E−03
4.24
2589
114
75
14



response


GO:0043085
positive regulation of
5.41E−05
1.87E−03
4.19
2589
173
50
14



catalytic activity


GO:0030835
negative regulation of actin
5.52E−05
1.91E−03
2.66
2589
20
779
16



filament depolymerization


GO:0010647
positive regulation of cell
5.53E−05
1.90E−03
2.41
2589
205
157
30



communication


GO:0050878
regulation of body fluid
5.60E−05
1.92E−03
4.27
2589
40
197
13



levels


GO:0006333
chromatin assembly or
5.88E−05
2.01E−03
4.52
2589
15
382
10



disassembly


GO:0061045
negative regulation of
5.91E−05
2.01E−03
4.77
2589
17
319
10



wound healing


GO:0002822
regulation of adaptive
6.53E−05
2.21E−03
11.77
2589
20
66
6



immune response based on



somatic recombination of



immune receptors built



from immunoglobulin



superfamily domains


GO:0042325
regulation of
6.57E−05
2.22E−03
1.48
2589
194
820
91



phosphorylation


GO:1901880
negative regulation of
6.82E−05
2.29E−03
2.57
2589
22
779
17



protein depolymerization


GO:1901879
regulation of protein
6.93E−05
2.32E−03
2.87
2589
28
548
17



depolymerization


GO:0071156
regulation of cell cycle
7.06E−05
2.36E−03
11.78
2589
7
157
5



arrest


GO:0051258
protein polymerization
7.08E−05
2.35E−03
2.7
2589
14
890
13


GO:0032200
telomere organization
7.37E−05
2.44E−03
4.06
2589
13
491
10


GO:0000723
telomere maintenance
7.37E−05
2.43E−03
4.06
2589
13
491
10


GO:0006281
DNA repair
7.64E−05
2.51E−03
1.79
2589
54
989
37


GO:0023056
positive regulation of
7.87E−05
2.58E−03
2.38
2589
208
157
30



signaling


GO:0018193
peptidyl-amino acid
7.96E−05
2.60E−03
1.7
2589
98
810
52



modification


GO:0031935
regulation of chromatin
8.22E−05
2.68E−03
7.18
2589
7
309
6



silencing


GO:0070934
CRD-mediated mRNA
8.59E−05
2.78E−03
8.32
2589
5
311
5



stabilization


GO:0031333
negative regulation of
8.94E−05
2.89E−03
2.52
2589
38
568
21



protein complex assembly


GO:0050764
regulation of phagocytosis
9.89E−05
3.18E−03
7.7
2589
15
157
7


GO:0051046
regulation of secretion
1.00E−04
3.22E−03
4.67
2589
109
61
12


GO:0071383
cellular response to steroid
1.02E−04
3.24E−03
6.05
2589
9
333
7



hormone stimulus


GO:1902680
positive regulation of RNA
1.04E−04
3.32E−03
1.57
2589
148
782
70



biosynthetic process


GO:0045893
positive regulation of
1.04E−04
3.31E−03
1.57
2589
148
782
70



transcription, DNA-



templated


GO:1903508
positive regulation of
1.04E−04
3.30E−03
1.57
2589
148
782
70



nucleic acid-templated



transcription


GO:1903036
positive regulation of
1.06E−04
3.33E−03
3.89
2589
13
512
10



response to wounding


GO:2000026
regulation of multicellular
1.06E−04
3.32E−03
1.65
2589
241
417
64



organismal development


GO:0006338
chromatin remodeling
1.06E−04
3.32E−03
2.24
2589
21
991
18


GO:0045807
positive regulation of
1.09E−04
3.40E−03
8.86
2589
33
62
7



endocytosis


GO:0022613
ribonucleoprotein complex
1.13E−04
3.52E−03
1.89
2589
42
976
30



biogenesis


GO:1903035
negative regulation of
1.20E−04
3.71E−03
4.51
2589
18
319
10



response to wounding


GO:0045089
positive regulation of
1.23E−04
3.78E−03
2.81
2589
25
590
16



innate immune response


GO:1904589
regulation of protein
1.29E−04
3.97E−03
4.19
2589
22
309
11



import


GO:0043632
modification-dependent
1.32E−04
4.06E−03
1.67
2589
94
841
51



macromolecule catabolic



process


GO:0051336
regulation of hydrolase
1.33E−04
4.07E−03
3.66
2589
180
59
15



activity


GO:0019730
antimicrobial humoral
1.36E−04
4.14E−03
3.45
2589
18
500
12



response


GO:0048856
anatomical structure
1.38E−04
4.19E−03
2.59
2589
349
63
22



development


GO:0051094
positive regulation of
1.43E−04
4.33E−03
1.46
2589
181
862
88



developmental process


GO:0002675
positive regulation of acute
1.44E−04
4.35E−03
31.32
2589
4
62
3



inflammatory response


GO:0031532
actin cytoskeleton
1.50E−04
4.50E−03
5.69
2589
9
354
7



reorganization


GO:0051726
regulation of cell cycle
1.52E−04
4.56E−03
1.61
2589
132
757
62


GO:0002684
positive regulation of
1.52E−04
4.54E−03
1.76
2589
120
601
49



immune system process


GO:0050778
positive regulation of
1.55E−04
4.61E−03
1.63
2589
81
983
50



immune response


GO:0052548
regulation of endopeptidase
1.61E−04
4.77E−03
3.38
2589
73
168
16



activity


GO:0042221
response to chemical
1.64E−04
4.86E−03
2.22
2589
474
69
28


GO:0002706
regulation of lymphocyte
1.67E−04
4.92E−03
10.23
2589
23
66
6



mediated immunity


GO:0044092
negative regulation of
1.73E−04
5.07E−03
3.82
2589
161
59
14



molecular function


GO:1903047
mitotic cell cycle process
1.75E−04
5.11E−03
1.88
2589
58
806
34


GO:0051099
positive regulation of
1.78E−04
5.18E−03
2.17
2589
49
632
26



binding


GO:0043242
negative regulation of
1.81E−04
5.27E−03
2.46
2589
23
779
17



protein complex



disassembly


GO:0006955
immune response
1.85E−04
5.37E−03
1.77
2589
103
655
46


GO:0002708
positive regulation of
1.90E−04
5.48E−03
13.08
2589
15
66
5



lymphocyte mediated



immunity


GO:0002824
positive regulation of
1.90E−04
5.46E−03
13.08
2589
15
66
5



adaptive immune response



based on somatic



recombination of immune



receptors built from



immunoglobulin



superfamily domains


GO:0009967
positive regulation of
1.93E−04
5.54E−03
2.16
2589
175
226
33



signal transduction


GO:0071495
cellular response to
2.03E−04
5.81E−03
2.05
2589
101
425
34



endogenous stimulus


GO:0071353
cellular response to
2.08E−04
5.94E−03
46.23
2589
12
14
3



interleukin-4


GO:0070670
response to interleukin-4
2.08E−04
5.92E−03
46.23
2589
12
14
3


GO:0071157
negative regulation of cell
2.15E−04
6.10E−03
13.19
2589
5
157
4



cycle arrest


GO:1902531
regulation of intracellular
2.15E−04
6.08E−03
1.97
2589
201
262
40



signal transduction


GO:0014002
astrocyte development
2.20E−04
6.21E−03
20.07
2589
3
129
3


GO:0051093
negative regulation of
2.24E−04
6.28E−03
2.02
2589
109
411
35



developmental process


GO:0045944
positive regulation of
2.27E−04
6.34E−03
1.55
2589
104
964
60



transcription by RNA



polymerase II


GO:0044085
cellular component
2.39E−04
6.67E−03
1.85
2589
43
976
30



biogenesis


GO:0002699
positive regulation of
2.40E−04
6.67E−03
7.85
2589
35
66
7



immune effector process


GO:0032970
regulation of actin
2.41E−04
6.67E−03
1.65
2589
83
908
48



filament-based process


GO:2000144
positive regulation of
2.43E−04
6.72E−03
4.06
2589
9
567
8



DNA-templated



transcription, initiation


GO:2000142
regulation of DNA-
2.43E−04
6.70E−03
4.06
2589
9
567
8



templated transcription,



initiation


GO:0042730
fibrinolysis
2.46E−04
6.75E−03
4.8
2589
8
472
7


GO:0034660
ncRNA metabolic process
2.53E−04
6.94E−03
1.53
2589
106
992
62


GO:0045785
positive regulation of cell
2.60E−04
7.11E−03
3.83
2589
56
157
13



adhesion


GO:0006414
translational elongation
2.61E−04
7.11E−03
8.36
2589
13
143
6


GO:0022603
regulation of anatomical
2.62E−04
7.10E−03
1.8
2589
140
472
46



structure morphogenesis


GO:0006810
transport
2.71E−04
7.33E−03
1.57
2589
551
203
68


GO:0045087
innate immune response
2.76E−04
7.44E−03
1.92
2589
70
655
34


GO:1900182
positive regulation of
2.89E−04
7.77E−03
3.88
2589
23
319
11



protein localization to



nucleus


GO:0034249
negative regulation of
2.90E−04
7.78E−03
2.7
2589
40
432
18



cellular amide metabolic



process


GO:0031334
positive regulation of
2.94E−04
7.87E−03
1.94
2589
52
769
30



protein complex assembly


GO:0033036
macromolecule localization
3.02E−04
8.05E−03
1.26
2589
346
994
168


GO:0009895
negative regulation of
3.05E−04
8.12E−03
2.11
2589
72
494
29



catabolic process


GO:0050708
regulation of protein
3.06E−04
8.10E−03
2.52
2589
68
333
22



secretion


GO:0010976
positive regulation of
3.15E−04
8.33E−03
7.71
2589
48
49
7



neuron projection



development


GO:0051187
cofactor catabolic process
3.16E−04
8.34E−03
12.96
2589
27
37
5


GO:1905952
regulation of lipid
3.20E−04
8.41E−03
9.28
2589
27
62
6



localization


GO:0051347
positive regulation of
3.28E−04
8.59E−03
2.25
2589
70
428
26



transferase activity


GO:0060284
regulation of cell
3.37E−04
8.80E−03
1.51
2589
130
899
68



development


GO:0090066
regulation of anatomical
3.61E−04
9.39E−03
1.88
2589
88
580
37



structure size


GO:0051346
negative regulation of
3.62E−04
9.40E−03
1.75
2589
73
812
40



hydrolase activity


GO:0042176
regulation of protein
3.62E−04
9.38E−03
1.72
2589
84
769
43



catabolic process


GO:0016525
negative regulation of
3.75E−04
9.69E−03
2.52
2589
13
947
12



angiogenesis


GO:0001934
positive regulation of
3.79E−04
9.75E−03
1.63
2589
99
820
51



protein phosphorylation


GO:1901796
regulation of signal
3.83E−04
9.83E−03
6.14
2589
14
211
7



transduction by p53 class



mediator


GO:0043066
negative regulation of
3.85E−04
9.85E−03
4.81
2589
163
33
10



apoptotic process


GO:0031936
negative regulation of
3.85E−04
9.82E−03
7.47
2589
6
289
5



chromatin silencing


GO:0043161
proteasome-mediated
3.87E−04
9.84E−03
2.02
2589
60
619
29



ubiquitin-dependent



protein catabolic process


GO:0010873
positive regulation of
3.93E−04
9.97E−03
11.51
2589
5
180
4



cholesterol esterification


GO:0034370
triglyceride-rich
3.93E−04
9.95E−03
11.51
2589
5
180
4



lipoprotein particle



remodeling


GO:0002673
regulation of acute
3.93E−04
9.93E−03
16.7
2589
10
62
4



inflammatory response


GO:0050766
positive regulation of
3.93E−04
9.90E−03
16.7
2589
10
62
4



phagocytosis


GO:0032663
regulation of interleukin-2
3.94E−04
9.90E−03
9.15
2589
4
283
4



production


GO:0030300
regulation of intestinal
4.00E−04
1.00E−02
26.33
2589
5
59
3



cholesterol absorption


GO:1904729
regulation of intestinal
4.00E−04
9.99E−03
26.33
2589
5
59
3



lipid absorption


GO:1904478
regulation of intestinal
4.00E−04
9.96E−03
26.33
2589
5
59
3



absorption


GO:0031401
positive regulation of
4.05E−04
1.00E−02
2.39
2589
138
196
25



protein modification



process


GO:0030837
negative regulation of actin
4.12E−04
1.02E−02
2.42
2589
22
779
16



filament polymerization


GO:0019731
antibacterial humoral
4.14E−04
1.02E−02
3.27
2589
8
791
8



response


GO:0001819
positive regulation of
4.20E−04
1.03E−02
5.21
2589
41
109
9



cytokine production


GO:0046824
positive regulation of
4.21E−04
1.03E−02
2.36
2589
21
837
16



nucleocytoplasmic



transport


GO:0042327
positive regulation of
4.22E−04
1.03E−02
1.58
2589
114
820
57



phosphorylation


GO:0051641
cellular localization
4.22E−04
1.03E−02
1.26
2589
350
994
169


GO:0051495
positive regulation of
4.23E−04
1.03E−02
2.04
2589
46
717
26



cytoskeleton organization


GO:0050807
regulation of synapse
4.25E−04
1.03E−02
9.06
2589
35
49
6



organization


GO:0045898
regulation of RNA
4.28E−04
1.04E−02
4.66
2589
6
556
6



polymerase II



transcriptional preinitiation



complex assembly


GO:0045899
positive regulation of RNA
4.28E−04
1.03E−02
4.66
2589
6
556
6



polymerase II



transcriptional preinitiation



complex assembly


GO:1900048
positive regulation of
4.30E−04
1.04E−02
4.42
2589
8
512
7



hemostasis


GO:0030194
positive regulation of blood
4.30E−04
1.03E−02
4.42
2589
8
512
7



coagulation


GO:0050820
positive regulation of
4.30E−04
1.03E−02
4.42
2589
8
512
7



coagulation


GO:1901576
organic substance
4.43E−04
1.06E−02
1.41
2589
567
334
103



biosynthetic process


GO:0043484
regulation of RNA splicing
4.52E−04
1.08E−02
3.31
2589
46
238
14


GO:0043280
positive regulation of
4.62E−04
1.10E−02
11.85
2589
26
42
5



cysteine-type



endopeptidase activity



involved in apoptotic



process


GO:0070494
regulation of thrombin-
4.66E−04
1.10E−02
64.73
2589
2
40
2



activated receptor signaling



pathway


GO:0070495
negative regulation of
4.66E−04
1.10E−02
64.73
2589
2
40
2



thrombin- activated



receptor signaling pathway


GO:0051621
regulation of
4.66E−04
1.10E−02
64.73
2589
2
40
2



norepinephrine uptake


GO:0043069
negative regulation of
4.80E−04
1.13E−02
4.7
2589
167
33
10



programmed cell death


GO:0051234
establishment of
4.88E−04
1.15E−02
1.54
2589
571
203
69



localization


GO:0032870
cellular response to
4.90E−04
1.15E−02
2.89
2589
43
333
16



hormone stimulus


GO:0043524
negative regulation of
4.94E−04
1.15E−02
18.79
2589
29
19
4



neuron apoptotic process


GO:0034605
cellular response to heat
4.95E−04
1.15E−02
6.23
2589
17
171
7


GO:0001817
regulation of cytokine
5.00E−04
1.16E−02
4.73
2589
73
75
10



production


GO:0042744
hydrogen peroxide
5.00E−04
1.16E−02
17.49
2589
16
37
4



catabolic process


GO:0015893
drug transport
5.07E−04
1.17E−02
36.99
2589
21
10
3


GO:0051053
negative regulation of
5.09E−04
1.17E−02
3.99
2589
21
309
10



DNA metabolic process


GO:0070488
neutrophil aggregation
5.14E−04
1.18E−02
61.64
2589
2
42
2


GO:1901700
response to oxygen-
5.25E−04
1.20E−02
2.87
2589
203
80
18



containing compound


GO:0034116
positive regulation of
5.33E−04
1.22E−02
10.57
2589
5
196
4



heterotypic cell-cell



adhesion


GO:0002714
positive regulation of B
5.42E−04
1.24E−02
23.54
2589
5
66
3



cell mediated immunity


GO:0002891
positive regulation of
5.42E−04
1.23E−02
23.54
2589
5
66
3



immunoglobulin mediated



immune response


GO:0010499
proteasomal ubiquitin-
5.43E−04
1.23E−02
3.28
2589
17
510
11



independent protein



catabolic process


GO:0044249
cellular biosynthetic
5.50E−04
1.25E−02
1.41
2589
536
338
99



process


GO:0071384
cellular response to
5.57E−04
1.26E−02
5.83
2589
8
333
6



corticosteroid stimulus


GO:0050817
coagulation
5.63E−04
1.27E−02
4.16
2589
16
350
9


GO:0007596
blood coagulation
5.63E−04
1.27E−02
4.16
2589
16
350
9


GO:0048821
erythrocyte development
5.66E−04
1.27E−02
129.45
2589
10
4
2


GO:0009057
macromolecule catabolic
5.67E−04
1.27E−02
1.46
2589
158
852
76



process


GO:0032956
regulation of actin
5.74E−04
1.28E−02
1.66
2589
72
908
42



cytoskeleton organization


GO:1902806
regulation of cell cycle
5.81E−04
1.29E−02
2.73
2589
18
686
13



Gl/S phase transition


GO:0045861
negative regulation of
5.82E−04
1.29E−02
2.01
2589
66
566
29



proteolysis


GO:0060341
regulation of cellular
5.88E−04
1.30E−02
1.66
2589
183
469
55



localization


GO:0045666
positive regulation of
6.03E−04
1.33E−02
6.98
2589
53
49
7



neuron differentiation


GO:0043244
regulation of protein
6.04E−04
1.33E−02
2.11
2589
32
805
21



complex disassembly


GO:0000910
cytokinesis
6.04E−04
1.33E−02
2.82
2589
16
688
12


GO:0061640
cytoskeleton-dependent
6.04E−04
1.33E−02
2.82
2589
16
688
12



cytokinesis


GO:0007051
spindle organization
6.20E−04
1.36E−02
3.98
2589
23
283
10


GO:0032535
regulation of cellular
6.23E−04
1.36E−02
1.83
2589
67
717
34



component size


GO:0045787
positive regulation of cell
6.35E−04
1.38E−02
2.82
2589
57
274
17



cycle


GO:0006310
DNA recombination
6.41E−04
1.39E−02
2.1
2589
23
964
18


GO:0001932
regulation of protein
6.51E−04
1.41E−02
1.46
2589
164
820
76



phosphorylation


GO:0043086
negative regulation of
6.52E−04
1.41E−02
1.55
2589
119
812
58



catalytic activity


GO:0045744
negative regulation of G
6.63E−04
1.43E−02
14.07
2589
3
184
3



protein-coupled receptor



signaling pathway


GO:1904029
regulation of cyclin-
6.74E−04
1.45E−02
105.67
2589
7
7
2



dependent protein kinase



activity


GO:0010720
positive regulation of cell
6.79E−04
1.46E−02
1.61
2589
84
899
47



development


GO:0002793
positive regulation of
6.80E−04
1.46E−02
4.01
2589
48
148
11



peptide secretion


GO:0060968
regulation of gene
6.88E−04
1.47E−02
3.35
2589
19
447
11



silencing


GO:1903900
regulation of viral life
7.04E−04
1.50E−02
3
2589
33
366
14



cycle


GO:0034470
ncRNA processing
7.05E−04
1.50E−02
2.74
2589
73
233
18


GO:0030163
protein catabolic process
7.14E−04
1.51E−02
1.78
2589
91
622
39


GO:1904591
positive regulation of
7.21E−04
1.52E−02
4.19
2589
18
309
9



protein import


GO:0048585
negative regulation of
7.24E−04
1.53E−02
1.62
2589
196
472
58



response to stimulus


GO:0000226
microtubule cytoskeleton
7.68E−04
1.62E−02
3.93
2589
45
161
11



organization


GO:0001907
killing by symbiont of host
7.72E−04
1.62E−02
1,294.50
2589
1
2
1



cells


GO:0052331
hemolysis in other
7.72E−04
1.62E−02
1,294.50
2589
1
2
1



organism involved in



symbiotic interaction


GO:0001897
cytolysis by symbiont of
7.72E−04
1.62E−02
1,294.50
2589
1
2
1



host cells


GO:0045938
positive regulation of
7.72E−04
1.61E−02
1,294.50
2589
1
2
1



circadian sleep/wake cycle,



sleep


GO:0045187
regulation of circadian
7.72E−04
1.61E−02
1,294.50
2589
1
2
1



sleep/wake cycle, sleep


GO:0045188
regulation of circadian
7.72E−04
1.60E−02
1,294.50
2589
1
2
1



sleep/wake cycle, non-



REM sleep


GO:0042749
regulation of circadian
7.72E−04
1.60E−02
1,294.50
2589
1
2
1



sleep/wake cycle


GO:0042753
positive regulation of
7.72E−04
1.60E−02
1,294.50
2589
1
2
1



circadian rhythm


GO:0046010
positive regulation of
7.72E−04
1.59E−02
1,294.50
2589
1
2
1



circadian sleep/wake cycle,



non-REM sleep


GO:0044179
hemolysis in other
7.72E−04
1.59E−02
1,294.50
2589
1
2
1



organism


GO:0044004
disruption by symbiont of
7.72E−04
1.59E−02
1,294.50
2589
1
2
1



host cell


GO:0051659
maintenance of
7.72E−04
1.58E−02
1,294.50
2589
1
2
1



mitochondrion location


GO:0019836
hemolysis by symbiont of
7.72E−04
1.58E−02
1,294.50
2589
1
2
1



host erythrocytes


GO:0044770
cell cycle phase transition
7.74E−04
1.58E−02
2.72
2589
13
805
11


GO:0050792
regulation of viral process
7.76E−04
1.58E−02
2.67
2589
45
366
17


GO:0050658
RNA transport
7.76E−04
1.57E−02
4.91
2589
50
95
9


GO:0050657
nucleic acid transport
7.76E−04
1.57E−02
4.91
2589
50
95
9


GO:0051236
establishment of RNA
7.76E−04
1.57E−02
4.91
2589
50
95
9



localization


GO:0042026
protein refolding
7.92E−04
1.60E−02
6.79
2589
13
176
6


GO:0048869
cellular developmental
8.01E−04
1.61E−02
2.81
2589
289
51
16



process


GO:0010498
proteasomal protein
8.13E−04
1.63E−02
1.93
2589
65
619
30



catabolic process


GO:2001056
positive regulation of
8.15E−04
1.63E−02
10.63
2589
29
42
5



cysteine-type



endopeptidase activity


GO:0060260
regulation of transcription
8.61E−04
1.72E−02
4
2589
8
567
7



initiation from RNA



polymerase II promoter


GO:0060261
positive regulation of
8.61E−04
1.72E−02
4
2589
8
567
7



transcription initiation from



RNA polymerase II



promoter


GO:0061478
response to platelet
8.78E−04
1.75E−02
52.3
2589
3
33
2



aggregation inhibitor


GO:0045815
positive regulation of gene
8.81E−04
1.75E−02
3.42
2589
9
673
8



expression, epigenetic


GO:0050715
positive regulation of
8.82E−04
1.75E−02
9.14
2589
13
109
5



cytokine secretion


GO:0043691
reverse cholesterol
9.22E−04
1.82E−02
21.94
2589
6
59
3



transport


GO:0010872
regulation of cholesterol
9.22E−04
1.82E−02
21.94
2589
6
59
3



esterification


GO:0034380
high-density lipoprotein
9.22E−04
1.81E−02
21.94
2589
6
59
3



particle assembly


GO:0033700
phospholipid efflux
9.22E−04
1.81E−02
21.94
2589
6
59
3


GO:0030490
maturation of SSU-rRNA
9.24E−04
1.81E−02
8.04
2589
9
179
5


GO:0021782
glial cell development
9.25E−04
1.81E−02
11.47
2589
7
129
4


GO:0010466
negative regulation of
9.32E−04
1.82E−02
2.19
2589
46
566
22



peptidase activity


GO:0051016
barbed-end actin filament
9.36E−04
1.82E−02
2.99
2589
10
779
9



capping


GO:0032368
regulation of lipid transport
9.69E−04
1.88E−02
9.97
2589
22
59
5


GO:0071897
DNA biosynthetic process
9.73E−04
1.89E−02
4.29
2589
9
469
7









Analysis of the function shows multiple significant functional differences between the HepG2 than in the normal liver, these including nucleic acid binding, protein binding oxygen binding expressed higher in the tumor (Table 17, Table 18).


Analysis by component showed large different in cytosolic part, protein-containing complex, ribonucleoprotein complex extracted from the HepG2 vs the normal liver (Table 19, Table 20).









TABLE 17







Gene ontology by a process of the differently expressed proteins in the


HepG2 the normal liver extracted with electroporation mapped with Gorilla














FDR
Enrichment


GO term
Description
P-value*
q-value**
(N, B, n, b)***





GO:0043170
macromolecule metabolic
2.47E−23
2.22E−19
1.36 (2589, 919, 992, 478)



process





GO:0044260
cellular macromolecule
1.98E−21
8.93E−18
1.44 (2589, 648, 992, 358)



metabolic process





GO:0090304
nucleic acid metabolic
5.93E−20
1.78E−16
1.64 (2589, 334, 992, 210)



process





GO:0050789
regulation of biological
7.73E−20
1.74E−16
1.25 (2589, 1301, 968, 607)



process





GO:0051171
regulation of nitrogen
1.08E−19
1.94E−16
1.57 (2589, 695, 639, 269)



compound metabolic






process





GO:0050794
regulation of cellular
1.55E−19
2.33E−16
1.27 (2589, 1202, 970, 570)



process





GO:0060255
regulation of
1.86E−19
 2.4E−16
1.52 (2589, 718, 689, 291)



macromolecule metabolic






process





GO:0080090
regulation of primary
8.83E−19
9.95E−16
1.54 (2589, 731, 639, 277)



metabolic process





GO:0006412
translation
1.07E−16
1.07E−13
2.83 (2589, 161, 398, 70)


GO:0048519
negative regulation of
1.57E−16
1.41E−13
1.45 (2589, 720, 759, 306)



biological process





GO:0034645
cellular macromolecule
2.77E−16
2.27E−13
2.50 (2589, 231, 381, 85)



biosynthetic process





GO:0009059
macromolecule
4.38E−16
3.29E−13
2.45 (2589, 241, 381, 87)



biosynthetic process





GO:0048523
negative regulation of
4.78E−16
3.31E−13
1.47 (2589, 655, 759, 283)



cellular process





GO:0043043
peptide biosynthetic
5.81E−16
3.74E−13
2.76 (2589, 165, 398, 70)



process





GO:0010468
regulation of gene
7.68E−16
4.61E−13
1.53 (2589, 480, 846, 240)



expression





*‘P-value’ is the enrichment p-value computed according to the mHG or HG model. This p-value is not corrected for multiple testing of 731 GO terms.


**‘FDR q-value’ is the correction of the above p-value for multiple testing using the Benjamini and Hochberg (1995) method.


Namely, for the ith term (ranked according to p-value) the FDR q-value is (p-value * a number of GO terms)/i.


***Enrichment (N, B, n, b) is defined as follows:


N - is the total number of genes


B - is the total number of genes associated with a specific GO term


n - is the number of genes in the top of the user's input list or in the target set when appropriate


b - is the number of genes in the intersection


Enrichment = (b/n)/(B/N)





















TABLE 18





GO Term
Description
P-value
FDR q-value
Enrichment
N
B
n
b























GO:0003676
nucleic acid binding
5.63E−39
1.46E−35
1.73
2589
461
991
306


GO:0003723
RNA binding
5.41E−31
7.02E−28
1.79
2589
342
981
232


GO:0005515
protein binding
2.13E−28
1.85E−25
1.26
2589
1435
999
696


GO:0003735
structural constituent of
5.96E−24
3.87E−21
4.18
2589
95
372
57



ribosome


GO:0005198
structural molecule
1.29E−21
6.73E−19
2.89
2589
191
398
85



activity


GO:0005488
binding
6.16E−19
2.67E−16
1.12
2589
2046
999
884


GO:0003729
mRNA binding
2.28E−15
8.47E−13
2.53
2589
98
679
65


GO:0003677
DNA binding
1.74E−14
5.66E−12
1.81
2589
163
991
113


GO:0044877
protein-containing
1.19E−13
3.44E−11
1.6
2589
324
890
178



complex binding


GO:0019899
enzyme binding
1.34E−12
3.49E−10
1.82
2589
463
375
122


GO:0019843
rRNA binding
3.13E−12
7.39E−10
4.73
2589
33
398
24


GO:1901363
heterocyclic compound
9.98E−12
2.16E−09
1.23
2589
973
992
460



binding


GO:0097159
organic cyclic
3.02E−11
6.04E−09
1.22
2589
995
992
467



compound binding


GO:0008092
cytoskeletal protein
1.98E−10
3.68E−08
1.76
2589
198
756
102



binding


GO:0043565
sequence-specific DNA
2.18E−10
3.77E−08
2.18
2589
73
845
52



binding


GO:0019825
oxygen binding
1.06E−09
1.73E−07
235.36
2589
11
4
4


GO:0003779
actin binding
1.69E−09
2.58E−07
2.26
2589
99
614
53


GO:0051082
unfolded protein binding
1.75E−09
2.52E−07
5.7
2589
49
176
19


GO:0003690
double-stranded DNA
1.81E−09
2.48E−07
1.97
2589
73
991
55



binding


GO:0008134
transcription factor
1.85E−09
2.41E−07
1.82
2589
108
964
73



binding


GO:0031721
hemoglobin alpha
1.02E−08
1.27E−06
485.44
2589
4
4
3



binding


GO:0061134
peptidase regulator
1.54E−08
1.82E−06
2.99
2589
47
535
29



activity


GO:0043021
ribonucleoprotein
1.96E−08
2.21E−06
2.09
2589
59
925
44



complex binding


GO:0031720
haptoglobin binding
3.98E−08
4.31E−06
388.35
2589
5
4
3


GO:0030492
hemoglobin binding
8.18E−08
8.50E−06
323.62
2589
6
4
3


GO:0003730
mRNA 3′-UTR binding
8.68E−08
8.67E−06
3.21
2589
27
627
21


GO:1990837
sequence-specific
9.75E−08
9.38E−06
2.2
2589
53
845
38



double-stranded DNA



binding


GO:0005102
signaling receptor
2.09E−07
1.94E−05
3.39
2589
242
79
25



binding


GO:0051015
actin filament binding
2.82E−07
2.53E−05
2.23
2589
65
696
39


GO:0061135
endopeptidase regulator
2.97E−07
2.58E−05
2.43
2589
39
791
29



activity


GO:0004857
enzyme inhibitor activity
3.91E−07
3.28E−05
2.02
2589
71
812
45


GO:0030234
enzyme regulator
5.12E−07
4.16E−05
1.64
2589
176
791
88



activity


GO:0050542
icosanoid binding
8.25E−07
6.49E−05
49.31
2589
5
42
4


GO:0001067
regulatory region nucleic
1.65E−06
1.26E−04
2.08
2589
55
838
37



acid binding


GO:0031072
heat shock protein
2.11E−06
1.56E−04
2.01
2589
46
981
35



binding


GO:0030414
peptidase inhibitor
2.62E−06
1.89E−04
3.03
2589
35
513
21



activity


GO:0008135
translation factor
2.69E−06
1.89E−04
2.2
2589
41
863
30



activity, RNA binding


GO:0044212
transcription regulatory
3.51E−06
2.40E−04
2.08
2589
52
838
35



region DNA binding


GO:0098772
molecular function
4.14E−06
2.76E−04
3.62
2589
219
62
19



regulator


GO:0048027
mRNA 5′-UTR binding
4.36E−06
2.83E−04
4.78
2589
14
426
11


GO:0042826
histone deacetylase
6.41E−06
4.06E−04
4.62
2589
14
440
11



binding


GO:0008289
lipid binding
7.01E−06
4.33E−04
4.34
2589
154
62
16


GO:0004866
endopeptidase inhibitor
7.77E−06
4.69E−04
2.97
2589
34
513
20



activity


GO:0000976
transcription regulatory
1.64E−05
9.69E−04
1.98
2589
41
991
31



region sequence-specific



DNA binding


GO:0003743
translation initiation
1.67E−05
9.66E−04
2.3
2589
30
863
23



factor activity


GO:0019901
protein kinase binding
1.69E−05
9.53E−04
1.61
2589
133
844
70


GO:0019904
protein domain specific
1.97E−05
1.09E−03
1.5
2589
150
991
86



binding


GO:0031625
ubiquitin protein ligase
2.14E−05
1.16E−03
2.23
2589
77
497
33



binding


GO:0042802
identical protein binding
2.15E−05
1.14E−03
1.36
2589
463
642
156


GO:0070180
large ribosomal subunit
2.64E−05
1.37E−03
8.6
2589
7
258
6



rRNA binding


GO:0003725
double-stranded RNA
2.75E−05
1.40E−03
3.32
2589
29
430
16



binding


GO:0005344
oxygen carrier activity
3.11E−05
1.56E−03
323.62
2589
4
4
2


GO:0005504
fatty acid binding
3.30E−05
1.62E−03
13.58
2589
22
52
6


GO:0050544
arachidonic acid binding
4.09E−05
1.97E−03
46.23
2589
4
42
3


GO:0004601
peroxidase activity
5.06E−05
2.39E−03
71.92
2589
27
4
3


GO:0016684
oxidoreductase activity,
5.67E−05
2.63E−03
69.35
2589
28
4
3



acting on peroxide as



acceptor


GO:0044389
ubiquitin-like protein
7.85E−05
3.58E−03
2.12
2589
81
497
33



ligase binding


GO:0140110
transcription regulator
8.02E−05
3.59E−03
1.64
2589
87
964
53



activity


GO:0019900
kinase binding
8.60E−05
3.79E−03
1.53
2589
150
844
75


GO:0016209
antioxidant activity
9.01E−05
3.90E−03
9.38
2589
46
42
7


GO:0001158
enhancer sequence-
9.86E−05
4.20E−03
18.17
2589
6
95
4



specific DNA binding


GO:0035326
enhancer binding
9.86E−05
4.13E−03
18.17
2589
6
95
4


GO:0036094
small molecule binding
1.03E−04
4.25E−03
2.85
2589
633
23
16


GO:0008144
drug binding
1.19E−04
4.84E−03
6.06
2589
374
8
7


GO:0008035
high-density lipoprotein
1.21E−04
4.84E−03
32.91
2589
4
59
3



particle binding


GO:0033293
monocarboxylic acid
1.24E−04
4.89E−03
11.06
2589
27
52
6



binding


GO:0050543
icosatetraenoic acid
1.35E−04
5.22E−03
36.99
2589
5
42
3



binding


GO:0000977
RNA polymerase II
1.76E−04
6.74E−03
2.22
2589
37
726
23



regulatory region



sequence-specific DNA



binding


GO:0001012
RNA polymerase II
1.76E−04
6.64E−03
2.22
2589
37
726
23



regulatory region DNA



binding


GO:0032564
dATP binding
1.86E−04
6.89E−03
11.06
2589
4
234
4


GO:0017025
TBP-class protein
1.93E−04
7.05E−03
4.14
2589
9
556
8



binding


GO:0005200
structural constituent of
1.93E−04
6.96E−03
2.28
2589
23
887
18



cytoskeleton


GO:0030957
Tat protein binding
2.23E−04
7.94E−03
101.53
2589
3
17
2


GO:0005253
anion channel activity
2.56E−04
8.99E−03
6.72
2589
5
385
5


GO:0005092
GDP-dissociation
2.77E−04
9.61E−03
6.59
2589
5
393
5



inhibitor activity


GO:0002020
protease binding
3.43E−04
1.17E−02
9.44
2589
35
47
6


GO:0036402
proteasome-activating
3.45E−04
1.17E−02
4.8
2589
6
539
6



ATPase activity


GO:0043177
organic acid binding
3.57E−04
1.19E−02
5.53
2589
81
52
9


GO:0008097
5S rRNA binding
3.59E−04
1.18E−02
7.6
2589
6
284
5


GO:0031722
hemoglobin beta binding
3.86E−04
1.25E−02
2,589.00
2589
1
1
1


GO:0060228
phosphatidylcholine-
3.93E−04
1.26E−02
11.51
2589
5
180
4



sterol O-acyltransferase



activator activity


GO:0017091
AU-rich element binding
4.27E−04
1.35E−02
5.48
2589
7
405
6


GO:0031490
chromatin DNA binding
4.32E−04
1.35E−02
3.21
2589
20
484
12


GO:0036002
pre-mRNA binding
5.10E−04
1.58E−02
2.45
2589
13
975
12


GO:0003682
chromatin binding
5.35E−04
1.64E−02
1.58
2589
81
991
49


GO:0004298
threonine-type
5.43E−04
1.64E−02
3.28
2589
17
510
11



endopeptidase activity


GO:0070003
threonine-type peptidase
5.43E−04
1.62E−02
3.28
2589
17
510
11



activity


GO:0071813
lipoprotein particle
5.54E−04
1.64E−02
107.88
2589
6
8
2



binding


GO:0071814
protein-lipid complex
5.54E−04
1.62E−02
107.88
2589
6
8
2



binding


GO:1990715
mRNA CDS binding
5.65E−04
1.63E−02
14.88
2589
3
174
3


GO:0017111
nucleoside-
5.85E−04
1.67E−02
1.4
2589
176
946
90



triphosphatase activity


GO:0008201
heparin binding
6.64E−04
1.88E−02
2.19
2589
25
851
18


GO:0002039
p53 binding
6.68E−04
1.87E−02
15.14
2589
12
57
4


GO:0001091
RNA polymerase II
7.28E−04
2.01E−02
4.26
2589
6
608
6



basal transcription factor



binding


GO:0000987
proximal promoter
7.60E−04
2.08E−02
2.11
2589
21
991
17



sequence-specific DNA



binding


GO:0000978
RNA polymerase II
7.60E−04
2.06E−02
2.11
2589
21
991
17



proximal promoter



sequence-specific DNA



binding


GO:0003684
damaged DNA binding
7.83E−04
2.10E−02
3.65
2589
13
491
9


GO:0050786
RAGE receptor binding
7.87E−04
2.09E−02
20.71
2589
5
75
3


GO:0000981
DNA-binding
8.15E−04
2.14E−02
2.04
2589
25
964
19



transcription factor



activity, RNA



polymerase Il-specific


GO:0055106
ubiquitin-protein
8.45E−04
2.20E−02
13.08
2589
3
198
3



transferase regulator



activity


GO:0005543
phospholipid binding
8.68E−04
2.23E−02
4.05
2589
80
88
11


GO:0035257
nuclear hormone
9.74E−04
2.48E−02
1.99
2589
27
962
20



receptor binding
















TABLE 19







Gene ontology by function of the differently expressed proteins in the HepG2


the normal liver extracted with electroporation mapped with Gorilla














FDR
Enrichment


GO term
Description
P-value*
q-value**
(N, B, n, b)***





GO:0003676
nucleic acid binding
5.63E−39
1.46E−35
1.73 (2589, 461, 991, 306)


GO:0003723
RNA binding
5.41E−31
7.02E−28
1.79 (2589, 342, 981, 232)


GO:0005515
protein binding
2.13E−28
1.85E−25
1.26 (2589, 1435, 999, 696)


GO:0003735
structural constituent
5.96E−24
3.87E−21
4.18 (2589, 95, 372, 57)



of ribosome





GO:0005198
structural molecule
1.29E−21
6.73E−19
2.89 (2589, 191, 398, 85)



activity





GO:0005488
binding
6.16E−19
2.67E−16
1.12 (2589, 2046, 999, 884)


GO:0003729
mRNA binding
2.28E−15
8.47E−13
2.53 (2589, 98, 679, 65)


GO:0003677
DNA binding
1.74E−14
5.66E−12
1.81 (2589, 163, 991, 113)


GO:0044877
protein-containing
1.19E−13
3.44E−11
1.60 (2589, 324, 890, 178)



complex binding





GO:0019899
enzyme binding
1.34E−12
3.49E−10
1.82 (2589, 463, 375, 122)


GO:0019843
rRNA binding
3.13E−12
7.39E−10
4.73 (2589, 33, 398, 24)


GO:1901363
heterocyclic
9.98E−12
2.16E−9 
1.23 (2589, 973, 992, 460)



compound binding





GO:0097159
organic cyclic
3.02E−11
6.04E−9 
1.22 (2589, 995, 992, 467)



compound binding





GO:0008092
cytoskeletal protein
1.98E−10
3.68E−8 
1.76 (2589, 198, 756, 102)



binding





GO:0043565
sequence-specific
2.18E−10
3.77E−8 
2.18 (2589, 73, 845, 52)



DNA binding





*‘P-value’ is the enrichment p-value computed according to the mHG or HG model. This p-value is not corrected for multiple testing of 731 GO terms.


**‘FDR q-value’ is the correction of the above p-value for multiple testing using the Benjamini and Hochberg (1995) method.


Namely, for the ith term (ranked according to p-value) the FDR q-value is (p-value * a number of GO terms)/i.


***Enrichment (N, B, n, b) is defined as follows:


N - is the total number of genes


B - is the total number of genes associated with a specific GO term


n - is the number of genes in the top of the user's input list or in the target set when appropriate


b - is the number of genes in the intersection


Enrichment = (b/n)/(B/N)





















TABLE 20





GO Term
Description
P-value
FDR q-value
Enrichment
N
B
n
b























GO:0044445
cytosolic part
3.36E−41
4.19E−38
4.74
2589
119
372
81


GO:0032991
protein-containing
5.55E−40
3.46E−37
1.4
2589
1107
994
593



complex


GO:1990904
ribonucleoprotein
1.08E−31
4.49E−29
2.16
2589
323
662
178



complex


GO:0005634
nucleus
2.43E−31
7.59E−29
1.41
2589
922
991
498


GO:0043232
intracellular non-
1.04E−25
2.58E−23
1.51
2589
597
991
345



membrane-bounded



organelle


GO:0043228
non-membrane-bounded
1.34E−25
2.79E−23
1.51
2589
602
991
347



organelle


GO:0044391
ribosomal subunit
4.82E−24
8.59E−22
3.92
2589
110
372
62


GO:0044428
nuclear part
2.50E−23
3.90E−21
1.43
2589
720
992
394


GO:0005840
ribosome
1.87E−22
2.59E−20
3.83
2589
109
372
60


GO:0005737
cytoplasm
9.86E−22
1.23E−19
1.25
2589
1339
973
629


GO:0022625
cytosolic large
3.54E−21
4.01E−19
4.58
2589
43
500
38



ribosomal subunit


GO:0045202
synapse
1.00E−17
1.04E−15
2.54
2589
192
456
86


GO:0022627
cytosolic small
4.33E−17
4.16E−15
5.72
2589
35
362
28



ribosomal subunit


GO:0005681
spliceosomal complex
1.39E−13
1.24E−11
2.12
2589
80
975
64


GO:0097458
neuron part
1.42E−13
1.18E−11
1.6
2589
321
840
167


GO:0015934
large ribosomal subunit
4.06E−13
3.17E−11
4.01
2589
65
338
34


GO:0015935
small ribosomal subunit
6.03E−13
4.42E−11
4.41
2589
47
362
29


GO:0043209
myelin sheath
2.06E−12
1.43E−10
4.57
2589
109
161
31


GO:0044456
synapse part
2.19E−12
1.44E−10
1.85
2589
181
789
102


GO:0044421
extracellular region part
2.79E−12
1.74E−10
3.78
2589
292
82
35


GO:0005856
cytoskeleton
4.97E−12
2.95E−10
1.63
2589
241
896
136


GO:0044430
cytoskeletal part
1.36E−11
7.69E−10
1.68
2589
258
757
127


GO:0071013
catalytic step 2
1.88E−11
1.02E−09
2.36
2589
45
974
40



spliceosome


GO:0030863
cortical cytoskeleton
3.15E−11
1.64E−09
3.41
2589
38
579
29


GO:0000502
proteasome complex
1.40E−10
6.98E−09
2.28
2589
48
969
41


GO:0005832
chaperonin-containing
2.27E−10
1.09E−08
18.76
2589
8
138
8



T-complex


GO:1905369
endopeptidase complex
5.38E−10
2.49E−08
2.24
2589
49
969
41


GO:0101031
chaperone complex
6.71E−10
2.99E−08
12.14
2589
17
138
11


GO:0005615
extracellular space
7.83E−10
3.37E−08
3.89
2589
227
82
28


GO:0042788
polysomal ribosome
8.60E−10
3.57E−08
5.45
2589
23
351
17


GO:0044427
chromosomal part
1.11E−09
4.48E−08
1.74
2589
126
991
84


GO:0002199
zona pellucida receptor
2.42E−09
9.45E−08
16.68
2589
9
138
8



complex


GO:0044448
cell cortex part
4.28E−09
1.62E−07
2.47
2589
59
693
39


GO:0044422
organelle part
4.42E−09
1.62E−07
1.14
2589
1468
992
640


GO:0005654
nucleoplasm
5.98E−09
2.13E−07
1.38
2589
387
991
204


GO:0005844
polysome
9.73E−09
3.37E−07
5.34
2589
24
323
16


GO:1905368
peptidase complex
3.17E−08
1.07E−06
2.05
2589
56
969
43


GO:0005833
hemoglobin complex
3.98E−08
1.31E−06
388.35
2589
5
4
3


GO:0044446
intracellular organelle
5.46E−08
1.75E−06
1.13
2589
1444
992
626



part


GO:0014069
postsynaptic density
6.37E−08
1.99E−06
3.22
2589
69
326
28


GO:0033267
axon part
6.57E−08
2.00E−06
4.82
2589
68
150
19


GO:0005576
extracellular region
7.44E−08
2.21E−06
4.17
2589
182
75
22


GO:0031838
haptoglobin-hemoglobin
8.18E−08
2.37E−06
323.62
2589
6
4
3



complex


GO:0042995
cell projection
8.64E−08
2.45E−06
1.4
2589
306
982
163


GO:0099572
postsynaptic
9.15E−08
2.54E−06
3.18
2589
70
326
28



specialization


GO:0120025
plasma membrane
1.71E−07
4.63E−06
1.42
2589
273
981
147



bounded cell projection


GO:0035770
ribonucleoprotein
2.96E−07
7.86E−06
1.85
2589
72
991
51



granule


GO:0120038
plasma membrane
4.26E−07
1.11E−05
1.57
2589
203
829
102



bounded cell projection



part


GO:0044463
cell projection part
4.26E−07
1.08E−05
1.57
2589
203
829
102


GO:0005829
cytosol
4.68E−07
1.17E−05
1.21
2589
823
969
372


GO:0044451
nucleoplasm part
5.87E−07
1.43E−05
1.55
2589
157
999
94


GO:0016604
nuclear body
7.26E−07
1.74E−05
1.63
2589
119
999
75


GO:0036464
cytoplasmic
7.95E−07
1.87E−05
1.86
2589
66
991
47



ribonucleoprotein



granule


GO:0005730
nucleolus
1.09E−06
2.52E−05
1.57
2589
145
991
87


GO:0015629
actin cytoskeleton
1.41E−06
3.20E−05
2.22
2589
53
748
34


GO:0005684
U2-type spliceosomal
1.47E−06
3.27E−05
2.19
2589
34
974
28



complex


GO:0044297
cell body
1.80E−06
3.94E−05
3.31
2589
125
150
24


GO:0048471
perinuclear region of
3.00E−06
6.44E−05
1.56
2589
144
968
84



cytoplasm


GO:0030427
site of polarized growth
3.72E−06
7.87E−05
2.37
2589
33
828
25


GO:0030426
growth cone
3.72E−06
7.74E−05
2.37
2589
33
828
25


GO:0044454
nuclear chromosome
4.29E−06
8.77E−05
1.77
2589
74
991
50



part


GO:0032993
protein-DNA complex
4.43E−06
8.92E−05
2.3
2589
25
991
22


GO:0099513
polymeric cytoskeletal
5.35E−06
1.06E−04
1.65
2589
122
890
69



fiber


GO:0099081
supramolecular polymer
5.41E−06
1.05E−04
1.62
2589
131
890
73


GO:0099080
supramolecular complex
5.41E−06
1.04E−04
1.62
2589
131
890
73


GO:0099512
supramolecular fiber
5.41E−06
1.02E−04
1.62
2589
131
890
73


GO:0098978
glutamatergic synapse
5.57E−06
1.04E−04
1.71
2589
88
961
56


GO:0043005
neuron projection
6.36E−06
1.17E−04
1.45
2589
200
981
110


GO:0097525
spliceosomal snRNP
1.03E−05
1.87E−04
2.24
2589
30
925
24



complex


GO:0019773
proteasome core
1.09E−05
1.93E−04
6.28
2589
7
412
7



complex, alpha-subunit



complex


GO:1990124
messenger
1.18E−05
2.07E−04
20.55
2589
4
126
4



ribonucleoprotein



complex


GO:1902494
catalytic complex
1.22E−05
2.12E−04
1.41
2589
304
780
129


GO:0009986
cell surface
1.71E−05
2.92E−04
2.71
2589
87
286
26


GO:0044449
contractile fiber part
1.85E−05
3.11E−04
3.12
2589
41
384
19


GO:0030532
small nuclear
3.01E−05
5.00E−04
2.28
2589
31
844
23



ribonucleoprotein



complex


GO:0022624
proteasome accessory
3.07E−05
5.03E−04
3.04
2589
17
702
14



complex


GO:0120114
Sm-like protein family
3.30E−05
5.34E−04
2.23
2589
33
844
24



complex


GO:0016363
nuclear matrix
3.49E−05
5.58E−04
2.86
2589
29
562
18


GO:0008540
proteasome regulatory
3.91E−05
6.17E−04
3.39
2589
12
701
11



particle, base



subcomplex


GO:0043230
extracellular organelle
4.75E−05
7.41E−04
4.78
2589
24
248
11


GO:1903561
extracellular vesicle
4.75E−05
7.32E−04
4.78
2589
24
248
11


GO:0070062
extracellular exosome
4.75E−05
7.23E−04
4.78
2589
24
248
11


GO:0022626
cytosolic ribosome
8.30E−05
1.25E−03
8.35
2589
5
310
5


GO:0044306
neuron projection
8.72E−05
1.29E−03
10.67
2589
16
91
6



terminus


GO:0032432
actin filament bundle
1.42E−04
2.08E−03
2.71
2589
33
521
18


GO:0015630
microtubule
1.42E−04
2.07E−03
2.03
2589
32
955
24



cytoskeleton


GO:0031012
extracellular matrix
1.49E−04
2.14E−03
2.38
2589
80
353
26


GO:0005874
microtubule
1.53E−04
2.17E−03
3.61
2589
78
138
15


GO:0005852
eukaryotic translation
1.63E−04
2.28E−03
2.97
2589
12
799
11



initiation factor 3



complex


GO:0062023
collagen-containing
1.74E−04
2.40E−03
2.41
2589
76
353
25



extracellular matrix


GO:0000785
chromatin
1.76E−04
2.42E−03
1.69
2589
65
989
42


GO:0000786
nucleosome
1.88E−04
2.54E−03
2.93
2589
12
811
11


GO:0044815
DNA packaging
1.88E−04
2.52E−03
2.93
2589
12
811
11



complex


GO:0005667
transcription factor
1.95E−04
2.58E−03
2.32
2589
30
744
20



complex


GO:0000791
euchromatin
2.30E−04
3.02E−03
4.44
2589
10
466
8


GO:0005719
nuclear euchromatin
2.30E−04
2.99E−03
4.44
2589
10
466
8


GO:0016607
nuclear speck
2.37E−04
3.05E−03
1.65
2589
72
980
45


GO:0005685
U1 snRNP
2.41E−04
3.07E−03
3.1
2589
9
835
9


GO:0000790
nuclear chromatin
3.11E−04
3.92E−03
3.09
2589
36
349
15


GO:0098794
postsynapse
3.73E−04
4.65E−03
1.75
2589
58
916
36


GO:0071011
precatalytic spliceosome
3.82E−04
4.72E−03
2.33
2589
18
925
15


GO:0071005
U2-type precatalytic
3.82E−04
4.67E−03
2.33
2589
18
925
15



spliceosome


GO:0099568
cytoplasmic region
4.30E−04
5.20E−03
2.01
2589
48
725
27


GO:0044798
nuclear transcription
4.35E−04
5.22E−03
3.49
2589
14
530
10



factor complex


GO:0090575
RNA polymerase II
4.35E−04
5.17E−03
3.49
2589
14
530
10



transcription factor



complex


GO:0098793
presynapse
5.04E−04
5.93E−03
2.45
2589
38
529
19


GO:0005577
fibrinogen complex
5.30E−04
6.18E−03
10.57
2589
5
196
4


GO:0072562
blood microparticle
5.30E−04
6.12E−03
10.57
2589
5
196
4


GO:0005839
proteasome core
5.43E−04
6.21E−03
3.28
2589
17
510
11



complex


GO:0070937
CRD-mediated mRNA
5.78E−04
6.55E−03
6.94
2589
6
311
5



stability complex


GO:0043679
axon terminus
6.29E−04
7.06E−03
16.06
2589
15
43
4


GO:0034708
methyltransferase
6.86E−04
7.64E−03
2.86
2589
17
638
12



complex


GO:0034719
SMN-Sm protein
7.70E−04
8.49E−03
4.2
2589
6
616
6



complex


GO:0097526
spliceosomal tri-snRNP
8.81E−04
9.64E−03
2.3
2589
17
925
14



complex


GO:0046540
U4/U6 × U5 tri-snRNP
8.81E−04
9.55E−03
2.3
2589
17
925
14



complex


GO:0005689
U12-type spliceosomal
8.84E−04
9.50E−03
3.08
2589
13
646
10



complex









In-Vivo Electroporation Biopsy

The study disclosed herein provides electroporation-biopsy (e-biopsy) procedure protocols to obtain molecular profiles of proteins obtained through this procedure in comparison with currently used lysis buffer extraction. Particularly, it is shown that proteomic profiles obtained by e-biopsy from 4T1 mice tumor in-vivo are tissue specific, show tumor heterogeneity and that they align with molecular information related to these samples extracted using standard lysis buffers from excised tissues.


Molecular Harvesting In-Vivo


FIG. 11A illustrates the procedure for molecular harvesting in-vivo using electroporation for cell permeabilization: first, an electroporation-electrode-needle is inserted in different locations in the tumor or other tissues; second, once the needle is in place, specific series of high voltage short pulses (PEF-pulses) are applied to permeabilize the cell membrane of nearby cells; third, vacuum is applied on the same needle, through which the PEF pulses are delivered, to suck the tissue liquid (extract) through the needle and into, e.g., a syringe. Next the tissue extract is discharged to an external buffer and is subjected to standard molecular analysis protocols, including purification, separation, identification and quantification. The procedure can be repeated in multiple positions in the same area or other areas multiple times. Moreover, after a single electroporation treatment, liquid (tissue extract) can be harvested in several locations that are electro-permeabilized simultaneously. As seen in FIGS. 11B-11D, 4T1 tumor was sampled six times: two times in the center (C), two times in the periphery (P) and two times in the middle (M) between the center and the periphery. Additional sampling was done in the normal breast at the same animal. All animals survived the procedure and abnormal responses were not observed.


Replicability of In-Vivo e-Biopsy


To study the replicability of molecular extraction in-vivo with e-biopsy, liquids (tissue extract) was harvested from the C, M and P positions twice in five 4T1 tumors in-vivo in five mice. In total, 4782 proteins were quantified for each sample using unlabeled proteomics by LC/MS-MS. It was found that the expression level of proteins quantified in the duplicate in close locations had a very strong (Spearman R in 0.63-0.85 range), non-random correlation among themselves (FIG. 12).


In-Vivo e-Biopsy of Proteins Shows a Faithful Molecular Profiling as Compared to Lysis Buffer Extraction of Excised Tissue


Next, to prove that in-vivo harvested by e-biopsy proteins can show truthful molecular map of the tumor, they were compared to proteins extracted from a similar location in excised tumors with standard lysis buffer.


The correlation between proteins extracted with e-biopsy in-vivo with those extracted with a standard lysis buffer from excised tumors showed Spearman R values in range of 0.630 to 0.879 for all three locations in all five animals (FIG. 13). This finding suggests that in-vivo proteins harvesting with e-biopsy in 4T1 tumors is a reliable method that shows the true proteins expression levels at various locations in the tumor.


Proteins Profile Harvested In-Vivo by e-Biopsy Allow for Distinguishing 4T1 Tumor from Normal Breast Tissue in Mice.


Proteins extracted with e-biopsy from 4T1 tumor and normal mice breast show differential expression levels that are tissue specific. Differential expression analysis was done on three pairs of extracts: 4T1 tumor center (c) vs. Normal breast (NB); 4T1 tumor periphery (P) vs. Normal breast (NB); and 4T1 tumor middle (M) vs. Normal breast (NB). Gene ontology analysis of 4782 extracted proteins showed significant differential expression between proteins expressed in the NB and all three locations in the tumor (FIG. 14).


Specifically: (A) analysis of gene ontology terms by process revealed that translation (FIG. 14A), (p-value: 1.45E−13) was more active in center of the tumor than normal breast; (B) analysis of function categories revealed difference in structural constituent of ribosome (p-value: 3.46E−11) and RNA binding in center of tumor and normal breast (p-value: 6.81E−12); and (C) analysis by component showed differences in cytoplasm (p-value: 5.58E−21) and cytosolic parts (p-value: 3.89E−14).


Gene ontology for middle zone of the tumor was compared with the healthy breast: (A) analysis by process revealed cellular macromolecule biosynthetic process (FIG. 14B) as the most active for the middle region of the tumor (p-value: 2.53E−10); and (B) analysis by function revealed m-RNA binding capacity more active in the M location of the tumor than in normal breast (p-value: 8.52E−10). The component analysis suggested differences in cytosolic large ribosomal subunit (p-value: 2.99E−13) nucleus (p-value: 1.3E−13) and ribosome (p-value: 7.54E−10). Gene ontology analysis for tumor peripheral and control breast revealed translation (FIG. 14C) as active process (p-value: 2.49E−16), followed by m-RNA binding as the most active function (p-value: 1.99E−11) and with component difference in nucleus (p-value: 3.9E−13), cytosolic small ribosomal subunit (p-value: 6.29E−17) and cytosolic large ribosomal subunit (p-value: 1.62E−20). These finding are significant (overabundance plot of differential expression is shown in FIGS. 14D-14F).


Combined, the above data shows that in-vivo e-biopsy of proteins can differentiate 4T1 tumors from normal breast tissue in mice.


In-Vivo e-Biopsy Allows for Dissecting 4T1 Intratumor Proteome Heterogeneity


In order to target the heterogeneity of a single tumor, the proteins probed from three different positions of the same tumor in five animals were analyzed for differential expression followed by gene ontology analysis. Gene ontology analysis for center and peripheral showed that killing of cells of other organisms (p-value: 3.89E−7) were more active in center along with cell migration (p-value: 7.22E7) and carbohydrate metabolic process (p-value: 2.24E−7) (FIG. 15A). Analysis by function revealed structural molecule activity elevated in center of tumor compared to the peripheral area (p-value: 5.8E−7). There was a difference in cortical cytoskeleton (p-value: 8.49E−7) and cytosolic large ribosomal unit (p-value: 1.55E−8) on the basis of components.


In the process of revelations of intratumor heterogeneity comparison of center and middle regions of a tumor, genes for translation by process were higher expressed in center (FIG. 15B) (p-value: 1.01E−9). Analysis by function revealed difference in genes for translation initiation factor activity (p-value: 2.54E−9). Similar to center versus peripheral analysis by component, revealed cytosolic large ribosomal subunit is different in center versus middle (p-value: 5.85E−10).


Analyzing middle and peripheral regions of the tumor showed that the process of signal transduction was differentially expressed in middle of the tumor (FIG. 15C) (p-value: 1.98E−7). Whereas, in middle of the tumor compared to peripheral region there was a difference in genes for GTPase activity (p-value: 1.34E−7) and enzyme binding capacity (p-value: 1.3E−7). Gene ontology analysis by component revealed differences in intracellular part (p-value: 8.88E−7) and glutamatergic synapse (p-value: 6.81E−7). These finding are significant (overabundance plot of differential expression is shown in FIGS. 15D-15F. Combined, the above data shows that in-vivo e-biopsy of proteins can detect 4T1 tumors heterogeneity.


REFERENCES



  • Dunham, I. et al. An integrated encyclopedia of DNA elements in the human genome. Nature (2012). doi:10.1038/nature11247

  • Eden, E., Navon, R., Steinfeld, I., Lipson, D. & Yakhini, Z. GOrilla: A tool for discovery and visualization of enriched GO terms in ranked gene lists. BMC Bioinformatics 10, (2009).

  • Newman, J. C. et al. Ketogenic Diet Reduces Midlife Mortality and Improves Memory in Aging Mice. Cell Metab. (2017). doi:10.1016/j.cmet.2017.08.004

  • Solomon, O. et al. RNA editing by ADAR1 leads to context-dependent transcriptome-wide changes in RNA secondary structure. Nat. Commun. 8, (2017).

  • Tosoian, J. J. & Antonarakis, E. S. Molecular heterogeneity of localized prostate cancer: more different than alike. Transl. Cancer Res. Vol 6, Suppl. 1 (February 2017) Transl. Cancer Res. (2017). doi:10.21037/tcr.2017.02.17


Claims
  • 1. A method for determining if a solid tissue of a subject comprises a benign or malignant tumor, or if a space occupying lesion (SOL) within said solid tissue is malignant or benign, said method comprising: i) placing at least one electroporation-electrode within said solid tissue, or within said SOL or in proximity thereto;ii) applying pulsed electric field (PEF) via said at least one electroporation-electrode to thereby induce permeabilization of cells of said solid tissue or said SOL, and consequently release of at least one cellular-component therefrom to an extracellular matrix between and surrounding said cells;iii) extracting said at least one cellular-component from said extracellular matrix; andiv) identifying/analyzing the at least one cellular-component extracted so as to identify/determine the presence and type of the tumor within said solid tissue or determine if said SOL is malignant or benign.
  • 2. The method of claim 1, wherein step (iii) is extracting said at least one cellular-component into at least one of said at least one electroporation-electrode, and step (iv) is carried out within said electroporation-electrode.
  • 3. (canceled)
  • 4. (canceled)
  • 5. The method of claim 1, wherein said PEF is characterized by pulse number, pulse duration, electric field strength, and pulse frequency, wherein (i) said pulse number is in a range of from 1 to about 10,000; (ii) said pulse duration is in a range of from about 50 ns to about 1 s; (iii) said electric field strength is in a range of from about 0.1 to about 100 kV/cm; or (iv) said pulse frequency in in a range of from 0.1 to about 10000 Hz.
  • 6. (canceled)
  • 7. (canceled)
  • 8. The method of claim 1, wherein steps (ii) and (iii), and optionally step (iv), are repeated several times, each time at a different location/area within the solid tissue and/or said SOL, without removing said at least one electroporation-electrode therefrom, and wherein said at least one cellular-component that is released into said extracellular matrix at each location/area, is kept apart for separate analysis in step (iv).
  • 9. (canceled)
  • 10. (canceled)
  • 11. The method of claim 1, wherein two electroporation-electrodes are used to generate said PEF between them, and wherein: both electroporation-electrodes are placed within said solid tissue, or within said SOL or in proximity thereto; or one electroporation-electrode is placed within said solid tissue, or within said SOL or in proximity thereto, and the other electroporation-electrode is positioned at a remote location on the body of said subject.
  • 12. (canceled)
  • 13. (canceled)
  • 14. The method of claim 1, wherein said at least one electroporation-electrode each independently is designed to enable penetration into said solid tissue, or into said SOL or in proximity thereto, and is: (i) a hollow tube; (ii) a solid rod engulfed in a retentive tube/cannula; or (iii) a solid rod at least partially coated with an adhesive material capable of reversibly adsorbing, associating with, and/or linking at least one of said at least one cellular-component.
  • 15. The method of claim 14, wherein said at least one electroporation-electrode is hollow, and the at least one cellular-component released to the extracellular matrix is extracted in step (iii) by suction via said at least one hollow electroporation-electrode, and wherein said method further comprises a step of inserting at least one liquid into said solid tissue, or into said SOL or in proximity thereto, via said at least one hollow electroporation-electrode, and the at least one cellular-component released to the extracellular matrix is extracted in step (iii) by suction together with said liquid via said at least one hollow electroporation-electrode.
  • 16. (canceled)
  • 17. The method of claim 15, wherein said at least one liquid is: (i) an aqueous solution and the at least one cellular-component released to the extracellular matrix is diluted therein for extraction; (ii) an oil and the at least one cellular-component released to the extracellular matrix is encapsulated by said oil to form a micelle that is then extracted by suction; or (iii) aqueous solution and an oil inserted sequentially in that order, such that the at least one cellular-component released to the extracellular matrix is first diluted in the aqueous solution, and then encapsulated by said oil to form a micelle that is extracted by suction.
  • 18. (canceled)
  • 19. (canceled)
  • 20. The method of claim 14, wherein: said at least one electroporation-electrode is a solid rod engulfed in a retentive tube/cannula, and the at least one cellular-component released to the extracellular matrix is extracted in step (iii) by suction via said tube/cannula after extraction of the solid rod therefrom, and wherein said method further comprises a step of inserting at least one liquid into said solid tissue, or into said SOL or in proximity thereto, via said tube/cannula, and the at least one cellular-component released to the extracellular matrix is extracted in step (iii) by suction together with said liquid via said tube/cannula.
  • 21. (canceled)
  • 22. The method of claim 20, wherein said at least one liquid is: (i) an aqueous solution and the at least one cellular-component released to the extracellular matrix is diluted therein for extraction; (ii) an oil and the at least one cellular-component released to the extracellular matrix is encapsulated by said oil to form a micelle that is extracted by suction; or (iii) an aqueous solution and an oil inserted sequentially in that order, and the at least one cellular-component released to the extracellular matrix is first diluted in the aqueous solution and then encapsulated by said oil to form a micelle that is extracted by suction.
  • 23. (canceled)
  • 24. (canceled)
  • 25. The method of claim 14, wherein said at least one electroporation-electrode is a solid rod at least partially coated with an adhesive material capable of reversibly adsorbing, associating with, and/or linking at least one of said at least one cellular-component, and the at least one cellular-component released to the extracellular matrix is analyzed/identified in step (iv) outside the subject's body after removing said at least one electroporation-electrode from the subject's body and releasing said at least one cellular-component therefrom.
  • 26. The method of claim 1, wherein said at least one cellular-component is analyzed/identified in step (iv) by one or more methods each independently selected from protein sequencing, polymerase chain reaction (PCR), sequencing, microarray, chromatography, and mass spectrometry, and wherein the presence and type of said tumor within said solid tissue, and/or if said SOL is malignant or benign, is determined according to at least one of said identified/analyzed cellular-components.
  • 27. (canceled)
  • 28. (canceled)
  • 29. A device for the extraction of at least one cellular-component from cells of a solid tissue of a subject and/or from cells of a space occupying lesion (SOL) within said solid tissue, for determining if said solid tissue comprises a benign or malignant tumor, or if said SOL is malignant or benign, said device comprising: (i) at least one electroporation-electrode designed to be associated with an electric generator, and to generate a pulsed electric field (PEF); and(ii) a cellular-components extraction-element,wherein upon introducing said at least one electroporation-electrode into said solid tissue, or into said SOL or in proximity thereto, and applying a PEF, said PEF induces permeabilization of said cells and consequently said at least one cellular-component exits to an extracellular matrix between and surrounding said cells, and is then extracted by said extraction-element.
  • 30. (canceled)
  • 31. The device of claim 29, wherein: (i) said at least one electroporation-electrode comprises, or is associated with, a tissue-penetrating element; and/or(ii) said device comprises: (a) a single electroporation-electrode that comprises a support-element with first- and second electrical-conductors mounted thereon for generating PEF within said solid tissue, or said SOL or in proximity thereto; or (b) two separate electroporation-electrodes, each comprising a support-element with an electrical-conductor mounted thereon for generating PEF within said solid tissue, or said SOL or in proximity thereto.
  • 32.-35. (canceled)
  • 36. The device of claim 29, wherein said extraction-element is an adhesive material capable of reversibly adsorbing, associating with, and/or linking at least one of said at least one cellular-component, wherein said support-element is at least partially coated with said adhesive material.
  • 37. The device of claim 29, further comprising, or is associated with, a suction unit, and wherein: (i) said at least one electroporation-electrode or said support-element is hollow, and constitutes said extraction-element through which said at least one cellular-component can be extracted by suction; or(ii) said extraction-element is a retentive tube/cannula engulfing said support-element, such that after PEF is completed and said at least one electroporation-electrode is withdrawn from within said tube/cannula, the at least one cellular-component can be extracted from the extracellular matrix by suction via said tube/cannula.
  • 38. (canceled)
  • 39. (canceled)
  • 40. The device of claim 37, wherein said device is associated or designed to be associated with a liquid reservoir and a pump, for inserting/pumping at least one liquid into said solid tissue and/or said SOL via said support-element for diluting said at least one cellular-component released to the extracellular matrix, such that it can be extracted by suction together with said liquid via said extraction-element.
  • 41. The device of claim 37, further comprising a closure-element designed to allow or prevent passage of liquids via said hollow electroporation-electrode or said tube/cannula.
  • 42.-44. (canceled)
PCT Information
Filing Document Filing Date Country Kind
PCT/IL2020/050804 7/18/2020 WO
Provisional Applications (1)
Number Date Country
62875632 Jul 2019 US