The present disclosure generally relates to electronic data storage and retrieval, and more particularly to DNA information and retrieval systems comprising molecular electronic sensors for reading information stored as DNA molecules.
The advent of digital computing in the 20th Century created the need for archival storage of large amounts of digital or binary data. Archival storage is intended to house large amounts of data for long periods of time, e.g., years, decades or longer, in a way that is very low cost, and that supports the rare need to re-access the data. Although an archival storage system may feature the ability to hold unlimited amounts of data at very low cost, such as through a physical storage medium able to remain dormant for long periods of time, the data writing and recovery processes in such a system can be relatively slow or otherwise costly. The dominant forms of archival digital data storage developed to date include magnetic tape, and, more recently, compact optical disc (CD). However, as data production grows, there is a need for even higher density, lower cost, and longer lasting archival digital data storage systems.
It has been observed that in biology, the genomic DNA of a living organism functions as a form of digital information archival storage. On the timescale of the existence of a species, which may extend for thousands to millions of years, the genomic DNA in effect stores the genetic biological information that defines the species. The complex enzymatic, biochemical processes embodied in the biology, reproduction and survival of the species provide the means of writing, reading and maintaining this information archive. This observation has motivated the idea that perhaps the fundamental information storage capacity of DNA could be harnessed as the basis for high density, long duration archival storage of more general forms of digital information.
What makes DNA attractive for information storage is the extremely high information density resulting from molecular scale storage of information. In theory for example, all human-produced digital information recorded to date, estimated to be approximately 1 ZB (Zettabyte, 1021 bytes), could be recorded in less than 1022 DNA bases, or 1/60th of a mole of DNA bases, which would have a mass of just 10 grams. In addition to high data density, DNA is also a very stable molecule, which can readily last for thousands of years without substantial damage, and which could potentially last far longer, for tens of thousands of years, or even millions of years, such as observed naturally with DNA frozen in permafrost or encased in amber.
In various embodiments of the present disclosure, a data reader for use in a DNA data storage system is provided. In particular, a sensor is disclosed that can extract the digital information synthetically encoded into a single DNA molecule. As disclosed herein, sensors for use as DNA encoded data readers are processive enzyme molecular sensors. In various aspects, a plurality of such sensors are provided in an array in a high-density chip-based format that can provide the high throughput, low-cost and fast data extraction capability required for large scale DNA data storage systems. In various embodiments, the sensor for reading the digital data stored in DNA molecules processes individual encoded DNA molecules directly, so that there is no need for complicated sample preparation such as making copies of DNA or clonal populations of such molecules.
In various aspects, the fundamental time required to extract information encoded in a DNA molecule is short, on the order of seconds, which fundamentally enables short turn-around times for data recovery. Information extraction from a DNA molecule is at the rate of a processive enzyme acting on DNA, which can be very fast, as short as fractions of a second. In various aspects, information can be encoded in native DNA, without modifications, which can be replicated, copied or amplified as needed. Further, simple means to enhance the signal-to-noise ratio are disclosed. The sensor can be deployed in a highly scalable, low cost, CMOS chip format, providing for efficient mass manufacturing, and low cost systems and instruments, and overall low costs for reading digital data stored in DNA. The systems and instruments required to read Exabyte-scale digital data from DNA data can be highly compact and energy efficient, to support practical, robust deployment both locally at on-site data centers, and for highly scalable cloud-based archival data storage services. Sensors for information extraction herein provide for systems that read data stored in DNA that can exceed the performance, in speed, throughput and cost, of the respective reader systems for data archived in conventional archival storage formats such as magnetic tape or optical discs. The present disclosure provides enabling technology for DNA digital data storage systems capable of practical Exabyte scale storage, and Zettabyte scale storage.
In various embodiments of the present disclosure, a sensor is disclosed. In various aspects the sensor comprises a processive enzyme molecular electronics sensor. In various examples the sensor comprises: a first electrode; a second electrode spaced apart from the first electrode by an electrode gap; a processive enzyme conjugated to the first and second electrodes, the processive enzyme comprising a native or genetically engineered polymerase, reverse transcriptase, helicase, exonuclease, or molecular motor for packaging of viral DNA; and a trans-impedance amplifier electrically connected to at least one of the first electrode and second electrode, the trans-impedance amplifier providing an output comprising a measurable electrical parameter; wherein the measurable electrical parameter comprises distinguishable signals corresponding to enzymatic activity of the processive enzyme.
In various aspects of a sensor, the trans-impedance amplifier provides a biasable voltage across the first and second electrodes, and the measurable electrical parameter comprises a current output.
In various aspects of a sensor, the sensor may further comprise a gate electrode capacitively coupled to the electrode gap.
In various aspects of a sensor, the trans-impedance amplifier may further provide a biasable voltage to the gate electrode when a gate electrode is utilized in the sensor. In various aspects of a sensor, the processive enzyme is directly wired between first and second electrodes to provide a conductive pathway between the first and second electrodes, through the processive enzyme. For direct wiring, two sites on the enzyme molecule, such as two amino acid residues, may be modified to promote direct chemical bonding of each site to the first and second electrodes.
In various aspects of a sensor, the processive enzyme is conjugated to the first and second electrodes via a bridge molecule spanning the electrode gap, the bridge molecule having first and second ends, the first end conjugated to the first electrode and the second end conjugated to the second electrode, wherein the processive enzyme is conjugated to the bridge molecule.
In various aspects of a sensor, the processive enzyme is conjugated to the first and second electrodes via at least one intervening arm molecule, the arm molecule conjugated to at least one of the first and second electrodes and conjugated to the processive enzyme.
In various aspects of a sensor, bridge or arm molecules may comprise a double stranded DNA, a protein alpha helix, a graphene nanoribbon, a carbon nanotube, an antibody, or a Fab arm of an antibody.
In various aspects of a sensor, the first and second electrodes comprise source and drain electrodes, respectively, and wherein the measurable electrical parameter is the source-drain current between the electrodes.
In various aspects of a sensor, the trans-impedance amplifier further provides for voltage-biasable source, drain and gate electrodes.
In various embodiments of the present disclosure, a method of reading encoded information is disclosed. The method comprises: translocating a synthetic DNA molecule through a processive enzyme, where the processive enzyme is electrically connected in a molecular sensor circuit; and generating signals in a measureable electrical parameter of the circuit, wherein the signals correspond to the encoded information.
In various aspects of a method, the processive enzyme comprises a native or genetically engineered polymerase, reverse transcriptase, helicase, exonuclease, or molecular motor for packaging of viral DNA.
In various aspects of a method, the encoded information comprises binary data.
In various aspects of a method, the synthetic DNA molecule comprises a DNA template strand with distinguishable signaling features bonded thereon.
In various aspects of a method, the distinguishable signaling features comprise a sequence of oligonucleotides.
In various aspects of a method, the oligonucleotides are bonded to the DNA template strand by complementary base pairing and the oligonucleotides are displaced from the DNA template strand by the processive enzyme as the synthetic DNA molecule processively translocates through the processive enzyme, encountering the oligonucleotides. In these examples, a signal in the measureable electrical parameter of the circuit corresponds to displacement of an oligonucleotide from the DNA template strand.
In various aspects of a method, each of the oligonucleotides further comprises at least one chemical group bonded thereon.
In various aspects of a method, the oligonucleotides are covalently bonded to the DNA template strand, wherein a distinguishable signal in the measurable electrical parameter of the circuit corresponds to interaction of an oligonucleotide with the processive enzyme without displacement of the oligonucleotide from the DNA template strand.
In various aspects of a method, each of the oligonucleotides further comprises at least one chemical group bonded thereon.
In various aspects of a method, the distinguishable signaling features comprise chemical groups conjugated to the DNA template strand.
In various embodiments of the present disclosure, a DNA information system is disclosed. The system comprises: a synthetic DNA molecule comprising a DNA template strand and distinguishable signaling features bonded thereon, the distinguishable signaling features encoding information in the synthetic DNA molecule; a buffer solution in contact with the synthetic DNA molecule, the first and second electrodes, and the processive enzyme; and a sensor capable of reading the information encoded in the synthetic DNA molecule, the sensor comprising: a first electrode; a second electrode spaced apart from the first electrode by an electrode gap; a processive enzyme conjugated to both the first and second electrodes; and a trans-impedance amplifier electrically connected to at least one of the first and second electrodes, the trans-impedance amplifier providing an output comprising a measurable electrical parameter, wherein the measurable electrical parameter comprises distinguishable signals corresponding to the encoded information.
In various aspects of a system, the processive enzyme comprises a native or genetically engineered polymerase, reverse transcriptase, helicase, exonuclease, or molecular motor for packaging of viral DNA.
In various aspects of a system, the encoded information comprises binary data.
In various aspects of a system, the distinguishable signaling features comprise a sequence of oligonucleotides.
In various aspects of a system, the oligonucleotides are bonded to the DNA template strand by complementary base pairing, or the oligonucleotides are covalently bonded to the DNA template strand. In certain aspects, combinations of base-paired oligonucleotides and covalently bound oligonucleotides encode the information in the synthetic DNA molecule. In certain aspects, base-paired oligonucleotides are displaced from the DNA template strand by the processive enzyme, whereas covalently bonded oligonucleotides are not displaced when the processive enzyme encounters them.
In various aspects of a system, each of the oligonucleotides further comprises at least one chemical group bonded thereon. In other examples, at least one oligonucleotide in a sequence of oligonucleotides bonded to the DNA template strand comprise a chemical group bonded thereon.
In various aspects of a system, the distinguishable signaling features comprise chemical groups conjugated to the DNA template strand.
In various aspects of a system, the system further comprises a reference electrode submerged in the buffer solution. The reference may be, for example, a Ag/AgCl electrode.
In various aspects of a system, the system further comprises a gate electrode capacitively coupled to the electrode gap.
In various aspects of a system, the processive enzyme is directly wired between first and second electrodes to provide a conductive pathway between first and second electrodes, through the processive enzyme.
In various aspects of a system, the processive enzyme is conjugated to the first and second electrodes via a bridge molecule spanning the electrode gap, the bridge molecule having first and second ends, the first end conjugated to the first electrode and the second end conjugated to the second electrode, wherein the processive enzyme is conjugated to the bridge molecule.
In various aspects of a system, the processive enzyme is conjugated to the first and second electrodes via at least one intervening arm molecule, the arm molecule conjugated to at least one of the first and second electrodes and conjugated to the processive enzyme.
In various aspects of a system, bridge or arm molecules may comprise a double stranded DNA, a protein alpha helix, a graphene nanoribbon, a carbon nanotube, an antibody, or a Fab arm of an antibody.
In various aspects of a system, the system further comprises a CMOS sensor array chip comprising an array of the sensors and supporting pixel circuitry that performs measurement of the measurable electrical parameter.
In various aspects of a system, the system comprises at least two of the CMOS sensor array chips; an electronic hardware system for controlling and managing electrical inputs and data outputs of the chips; a fluidic system for introducing the synthetic DNA molecule in the buffer solution to the chips; and a signal processing and data recording system for capturing the distinguishable signals and for converting the distinguishable signals back to the information.
In various aspects of a system, the synthetic DNA molecule comprises a circular, hairpin, or tandem repeat architecture that allows repeat reading of the information encoded in the synthetic DNA molecule.
The subject matter of the present disclosure is particularly pointed out and distinctly claimed in the concluding portion of the specification. A more complete understanding of the present disclosure, however, may best be obtained by referring to the detailed description and claims when considered in connection with the drawing figures:
In various embodiments, a molecular electronics sensor comprising a processive enzyme is disclosed that extracts information from DNA molecules by reading digital data stored as DNA. The present disclosure further provides a means of deploying such sensors in a chip-based format, and a resulting data reading system that supports such a chip-based sensor device. Reading information encoded into DNA molecules by use of the processive enzyme molecular sensors of the present disclosure is fundamental to overall methods and systems for DNA data storage. Various aspects of these methods and systems for DNA data storage, including aspects of molecular sensors for reading DNA molecules encoded with digital information, is disclosed in PCT Application Serial No. PCT/US2018/013140, filed Jan. 10, 2018 and entitled “METHODS AND SYSTEMS FOR DNA DATA STORAGE,” the disclosure of which is incorporated herein by reference in its entirety for all purposes.
As used herein, the term “DNA” may refer not only to the biological DNA molecule, but also to fully synthetic versions, made by the methods of synthetic chemistry, such as nucleotide phosphoramidite chemistry, or by serial ligation of DNA oligomers, and also to forms made with chemical modifications present on the bases, sugar, or backbone, of which many are known to those skilled in nucleic acid biochemistry, including methylated bases, adenylated bases, other epigenetically marked bases, or also including non-standard or universal bases, such as inosine or 3-nitropyrrole, or other nucleotide analogues, or ribobases, or abasic sites, or damaged sites, and also including such DNA analogues as Peptide Nucleic Acids (PNA), Locked Nucleic Acids (LNA), Xeno Nucleic Acids (XNA) (a family of sugar-modified forms of DNA, including Hexitol Nucleic Acid (HNA)), Glycol Nucleic Acid (GNA), etc., and also including the biochemically similar RNA molecule along with synthetic RNA and modified forms of RNA. All these biochemically closely related forms are implied by the use of the term DNA, in the context of referring to the data storage molecule used in a DNA storage system, including a template single strand, a single strand with oligomers bound thereon, double stranded DNA, and double strands with bound groups such as groups to modify various bases. In addition, as used herein, the term “DNA” may refer to the single stranded forms of such molecules, as well as double helix or double-stranded forms, including hybrid duplex forms, including forms that containing mismatched or non-standard base pairings, or non-standard helical forms such as triplex forms, as well as molecules that are partially double stranded, such as a single-stranded DNA bound to an oligonucleotide primer, or a molecule with a hairpin secondary structure. In various embodiments, “DNA” refers to a molecule comprising a single-stranded DNA component having bound oligonucleotide segments and/or perturbing groups that can act as the substrate for a processive enzyme to process, and in doing so, generate distinguishable signals in a monitored electrical parameter of a molecular sensor comprising the processive enzyme.
DNA sequences as written herein, such as GATTACA (SEQ ID NO: 1), refer to DNA in the 5′ to 3′ orientation, unless specified otherwise. For example, GATTACA (SEQ ID NO: 1) as written herein represents the single stranded DNA molecule 5′-G-A-T-T-A-C-A-3′ (SEQ ID NO: 1). In general, the convention used herein follows the standard convention for written DNA sequences used in the field of molecular biology.
As used herein, the term “dNTP” may refer not only to the standard, naturally occurring nucleoside triphosphates used in biosynthesis of DNA—i.e. dATP, dCTP, dGTP, and dTTP—but also to natural or synthetic analogues or modified forms of these, include those that carry base modifications, sugar modifications, or phosphate group modifications, such as an alpha-thiol modification or gamma phosphate modifications, or the tetra-, penta-, hexa- or longer phosphate chain forms, or possibly with additional groups conjugated to any of the phosphates, particularly the beta, gamma or higher order phosphates in the chain. In general, as used herein, “dNTP” may mean any nucleoside triphosphate analogue or modified form that can be incorporated by a polymerase enzyme as it extends a primer, or that would enter the active pocket of such an enzyme and engage transiently as a trial candidate for incorporation.
As used herein, the term “oligonucleotide” or “binding oligonucleotide” refers to a short segment of DNA, or analog forms described above, having a length in the range of 3-100 bases, or 5-40 bases, or 10-30 bases, which can hybridize with complementary sequence contain in a template strand. Such hybridization may be through perfect Watson-Crock base-paring matches, or may involve mismatches or nonstandard base pairings.
As used herein, the term hybridization refers to the process of complementary strand binding as it occurs in the DNA double helix, or in similar duplex formation for DNA analogs.
As used herein, “buffer,” “buffer solution” and “reagent solution” refers to a solution which provides the environment in which the processive enzyme sensor can operate and produce signals from supplied DNA templates. In various embodiments, the solution is an aqueous solution, which may comprise dissolved, suspended or emulsified components such as salts, pH buffers, divalent cations, surfactants, blocking agents, solvents, template primer oligonucleotides, other proteins that complex with the polymerase, and also possibly including the polymerase substrates, i.e. dNTPs, analogues or modified forms of dNTPs, and DNA molecule substrates or templates.
As used herein, “binary data” or “digital data” refers to data encoded using the standard binary code, or a base 2 {0,1} alphabet, data encoded using a hexadecimal base 16 alphabet, data encoded using the base 10 {0-9} alphabet, data encoded using ASCII characters, or data encoded using any other discrete alphabet of symbols or characters in a linear encoding fashion.
As used herein, “digital data encoded format” refers to the series of binary digits, or other symbolic digits or characters that come from the primary translation of the DNA sequence features used to encode information in DNA, or the equivalent logical string of such classified DNA features. In some embodiments, information to be archived as DNA may be translated into binary, or exist initially as binary data, and then this data may be further encoded with error correction and assembly information, into the format that is directly translated into the code provided by the distinguishable DNA signaling features. This latter association is the primary encoding format of the information. Application of the assembly and error correction procedures is a further, secondary level of decoding, back towards recovering the source information.
As used herein, the term “signaling feature” refers to a characteristic of a data-encoding DNA molecule that, when encountered and processed by the processive enzyme of a processive enzyme molecular sensor, produces a signal in a monitored electrical parameter of the sensor circuit, such as current (i). Arrangements of signaling features on a DNA molecule are used to encode information in a synthetic DNA molecule. The broader group of signaling features herein further comprise both “bound groups” capable of displacement by a processive enzyme of a sensor and “perturbing groups” that are not displaced from the DNA molecule by the processive enzyme. Both types of signaling features on a DNA molecule provide distinct signals in a monitored electrical parameter of the sensor circuit when encountered by the processive enzyme of the sensor. Signaling features comprise, for example, hybridization-bound oligonucleotides, chemical groups conjugated to the DNA, or combinations of such to achieve arrangements of features that produce distinguishable signals when processed by the sensor processive enzyme.
As used herein, a “data-encoding DNA molecule,” or “DNA data encoding molecule,” refers to a DNA molecule synthesized to encode data, such as binary information, in its molecular structure, including copies of information containing DNA molecules or other DNA molecules derived from such molecules, such as complementary sequences.
As used herein, “reading data from DNA” refers to any method of measuring distinguishable events, such as electrical signals or other perturbations in a monitored electrical parameter of a circuit, which correspond to molecular features in a synthetic DNA molecule that were used to encode information into the DNA molecule.
As used herein, “electrodes” refer to nano-scale electrical conductors (more simply, “nano-electrodes”), disposed in pairs and spaced apart by a nanoscale-sized electrode gap between the two electrodes in any pair of electrodes. In various embodiments, the term “electrode” may refer to a source, drain or gate. A gate electrode may be capacitively coupled to the gap region, and may be a “buried gate,” “back gate,” or “side gate.” The electrodes in a pair of spaced-apart electrodes may be referred to specifically (and labeled as such in various drawing figures) as the “source” and “drain” electrodes, “positive” and “negative” electrodes, or “first” and “second” electrodes. Whenever electrodes in any of the drawing figures herein are labeled “positive electrode” and “negative electrode,” it should be understood the polarity indicated may be reversed, (i.e., the labels of these two elements in the drawings can be reversed), unless indicated otherwise, (such as an embodiment where electrons may be flowing to the negative electrode). Nano-scale electrodes in a pair of electrodes are spaced apart by an electrode gap measuring about 1 nm to 100 nm, and may have other critical dimensions, such as their width, height, and length, also in this same nanoscale range. Such nano-electrodes may be composed of a variety of materials that provide conductivity and mechanical stability. They may be comprised of metals, or semiconductors, for example, or of a combination of such materials. Pairs of spaced-apart electrodes may be disposed on a substrate by nano-scale lithographic techniques.
As used herein, the term “enzyme” refers to any molecule or molecular complex that acts on a substrate molecule to alter its state. Such enzymes are often proteins or comprise a protein component.
As used herein, a “processive enzyme” refers to any enzyme having “processivity,” which is the ability to catalyze consecutive reactions without the enzyme releasing its substrate. In various embodiments, a processive enzyme, as all or part of its enzymatic activity, may process a DNA molecule by engaging the DNA molecule at one end of the molecule or at an internal initiation site and translocating along the DNA molecule. This translocative movement is, of course, relative, and it may be the substrate that moves through a processive enzyme if the enzyme is physically anchored in a molecular sensor. Processive enzymes include, but are not limited to, polymerases, helicases, exonucleases, and molecular motors for packaging virus DNA.
As used herein, a “bridge molecule” refers to a molecule bound between two spaced-apart electrodes in a pair of electrodes, to span the electrode gap there between, and complete an electrical circuit. In various embodiments, a bridge molecule has roughly the same length as an electrode gap, such as 1 nm to 100 nm, or in some cases, about 10 nm. Bridge molecules for use herein may comprise double stranded DNA, other analog DNA duplex structures, such as DNA-RNA, DNA-PNA or DNA-LNA or DNA-XNA duplex hybrids, peptides, protein alpha-helix structures, antibodies or antibody Fab domains, graphene nanoribbons or carbon nanotubes, silicon nanowires, or any other of a wide array of molecular wires or conducting molecules known to those skilled in the art of molecular electronics. A bridge molecule herein may be described as having a “first” and “second” end, such as a base at or near the 3′ end and a base at or near the 5′ end of a DNA molecule acting as a bridge molecule. For example, each end may be chemically modified such that the first end of a bridge molecule bonds to a first electrode and the second end of a bridge molecule bonds to a second electrode in a pair of spaced-apart electrodes. This nomenclature aids in visualizing a bridge molecule spanning an electrode gap and bonding to each electrode in a pair of spaced-apart electrodes. In various embodiments, the first and second ends of a bridge molecule may be chemically modified so as to provide for self-assembly between the bridge molecule and a processive enzyme and/or between the bridge molecule and one or both electrodes in a pair of electrodes.
As used herein, an “arm” molecule has many of the same characteristics as a bridge molecule, and may comprise the same chemical species, e.g., DNA, although an arm molecule may be of shorter molecular length so that it may assist bonding a processive enzyme to only one electrode in a pair of spaced-apart electrodes. In various aspects, at least two arm molecules may be used to electrically connect a processive enzyme to both electrodes in a pair of spaced-apart electrodes, thereby suspending it between electrodes without directly bonding the enzyme to either electrode.
As used herein, the term “conjugation” refers to a chemical linkage, (i.e., bond), of any type known in the chemical arts, e.g., covalent, ionic, Van der Waals, etc. The conjugations of a processive enzyme to bridge and/or arm molecules, or conjugations between bridge or arm molecules to an electrode, may be accomplished by a diverse array of conjugation methods known to those skilled in the art of conjugation chemistry, such as biotin-avidin couplings, thiol-gold couplings, cysteine-maleimide couplings, gold binding peptides or material binding peptides, click chemistry coupling, Spy-SpyCatcher protein interaction coupling, or antibody-antigen binding (such as the FLAG peptide tag/anti-FLAG antibody system), and the like. Conjugation of a processive enzyme to each electrode in a pair of spaced-apart electrodes comprises an “electrical connection” or the “electrical wiring” of the enzyme into a circuit that includes the enzyme and the pair of electrodes. In other words, the enzyme is conjugated to each electrode in a pair of electrodes to provide a conductive pathway between the electrodes that would be otherwise be insulated from one another by the electrode gap separating them. A conductive pathway is provided by electron delocalization/movement through the chemical bonds of the enzyme, such as through C—C bonds.
Further definitions, and other aspects of molecular electronic sensors, are disclosed in PCT Application Serial No. PCT/US2018/029382, filed on Apr. 25, 2018, and U.S. Pat. No. 10,036,064, issued Jul. 31, 2018, the disclosures of which are incorporated herein by reference in their entireties for all purposes.
With reference now to
The processive enzyme is a critical element within a processive enzyme molecular sensor that is capable of reading DNA molecules. There are many processive enzymes capable of processively engaging with DNA, such as to perform various biological functions in various organisms. The important feature here is that the enzyme translocates along the DNA molecule in the course of its function. Such enzymes typically have a specific recognition structure that may occur at one end of a DNA strand, and they engage at that site, and initiate a process in which they translocate along the DNA molecule in one direction, perhaps performing some further function as they move along the molecule. Such translocation can in some cases be entirely unidirectional or can in other cases be predominantly in one direction, but with the possibility of reverse motions. Such translocation may process the entire DNA molecule from one end to the other, or may halt or disengage before reaching the other end.
The polymerase 21 illustrated in
The exonuclease 22 illustrated in
One of the helicases, helicase 23, illustrated in
The packaging motor protein 24 illustrated in
The processive enzyme molecular sensor embodiments illustrated in
In general, for various embodiments of processive enzyme molecular electronic sensors, such as illustrated in
In various aspects, the bridge molecules or arm molecules may comprise double stranded DNA, other analog DNA duplex structures, such as DNA-RNA, DNA-PNA or DNA-LNA or DNA-XNA duplex hybrids, peptides, protein alpha-helix structures, antibodies or antibody Fab domains, graphene nanoribbons or carbon nanotubes, silicon nanowires, or any other of a wide array of molecular wires or conducting molecules known to those skilled in the art of molecular electronics. The conjugations of a processive enzyme to such molecules, or of such molecules to the electrodes, may be accomplished by a diverse array of conjugation methods known to those skilled in the art of conjugation chemistry, such as biotin-avidin couplings, thiol-gold couplings, cysteine-maleimide couplings, gold binding peptides or material binding peptides, click chemistry coupling, Spy-SpyCatcher protein interaction coupling, or antibody-antigen binding (such as the FLAG peptide tag/anti-FLAG antibody system) etc. Coupling of molecules to electrodes may be done via material binding peptides, or through the use of a SAM (Self-Assembling-Monolayer) or other surface derivatization on the electrode surface to present suitable functional groups for conjugation, such as azide or amine groups. The electrodes herein comprise electrically conducting nanoscale-dimensioned structures, which may comprise a metal, such as gold, silver, platinum, palladium, aluminum, chromium, or titanium, layers of such metals, such as gold on chromium, or semiconductors, such as doped silicon, or doped germanium. In various embodiments, a contact point of a first material may be disposed on a supporting second material, such that the contact point is a site that directs chemical self-assembly of the molecular complex to the electrode. In non-limiting examples, a sensor may comprise spaced-apart pairs of titanium or platinum electrodes having a gold dot contact point deposited on each one of the electrodes to direct self-assembly of bridge molecules to the contact points such that only one bridge molecule spans each electrode gap between a pair of spaced-apart electrodes.
The electrical parameter measured in the processive enzyme molecular sensors described herein for distinguishable signals can in general be any electrical property of the circuit measurable while the sensor is active. In various embodiments, the parameter is the current passing between the two electrodes in a pair of spaced-apart and bridged electrodes versus time, either continuously or sampled at discrete times, when a voltage, fixed or varying, is applied between the electrodes. In various embodiments, there may also be a gate electrode, capacitively coupled to the molecular structure, such as a buried gate or back gate, which applies a gate voltage, fixed or variable, during the measurement. In various other embodiments, the measured parameter may be the resistance, conductance, or impedance between the two electrodes, measured continuously versus time or sampled periodically. The measured parameter could be the voltage between the electrodes. If there is a gate electrode, the measured parameter could be the gate voltage. The measured parameter could also be a capacitance, or the amount of charge or voltage accumulated on a capacitor coupled to the circuit. The measurement could be a voltage spectroscopy measurement, such that the measurement process comprises capturing an I-V or C-V curve. The measurement could be a frequency response measurement. In all such measurements, for all such measured parameters, there are embodiments in which a gate electrode applies a gate voltage, fixed or variable, near the molecular complex during the measurement. Such a gate will typically be physically located within a micron distance, and in some cases within a 200 nm distance, of the molecular complex bridging the pair of spaced-apart electrodes.
In various embodiments, for the electrical measurements there will be a reference electrode present, such as a Ag/AgCl reference electrode, or a platinum electrode, in the solution placed in contact with the sensor, and maintained at an external potential, such as ground, to maintain the solution at a stable or observed potential, and thereby make the electrical measurements more well defined or controlled. In addition, when making the electrical parameter measurement, various other electrical parameters may be held fixed at prescribed values, or varied in a prescribed pattern, such as, for example, the source-drain electrode voltage, the gate voltage if there is a gate electrode, or the source-drain current.
The use of the present processive enzyme molecular sensors to measure distinguishable features of a DNA molecule requires the processive enzyme to be maintained in the appropriate physical and chemical conditions to be enzymatically active, to process DNA templates, and produce strong, distinguishable signals above the background noise (i.e, for a high signal-to-noise ratio, or SNR). For this, the enzyme should reside in aqueous buffer solution, which, in various embodiments, will comprise salts, such as NaCl or KCl, pH buffers, such as Tris-HCl, multivalent cation cofactors, such as Mg, Mn, Ca, Co, Zn, Ni, other ions, such as Fe or Cu, surfactants, such as tween, chelating agents such as EDTA, reducing agents such as DTT or TCEP, solvents, such as betaine or DMSO, volume concentrating agents, such as PEG, and/or other components for enzyme buffers. The sensor signals may also be enhanced by maintenance of a buffer in a certain range of pH or temperature, or at a certain ionic strength. In particular, the ionic strength may be selected to obtain a Debye length (electrical charge screening distance) in the solution favorable for electrical signal production, which may be in the range of 0.3 nm-100 nm, or in the range of 1 nm-10 nm. Such buffers formulated to have larger Debye lengths may be more dilute or have lower ionic strength by a factor of 10, 100, 1000, 100,000 or 1 million relative to the buffer concentrations routinely used in standard molecular biology procedures such as PCR.
Buffer compositions, concentrations and conditions (e.g., pH, temperature, or ionic strength) may also be also selected or optimized to alter the enzyme kinetics to favorably increase the signal-to-noise ratio (SNR) of the sensor, the overall rate of signal production, or overall rate of information decoding in the context of reading data stored in DNA molecules. This may include slowing down or speeding up the processive enzyme activity by any combination of these variables. Optimal buffer selection process consists of selecting trial conditions from the matrix of all such parameter variations, empirically measuring a figure of merit, such as related to the discrimination of the distinguishable features, or to the overall speed of feature discrimination when processing a template, and using various search strategies, such as those applied in statistical Design Of Experiment (DOE) methods, to infer optimal parameter combinations.
In the case where the processive enzyme is a polymerase, the processing of the template DNA also requires that the polymerase be provided with a supply of dNTPs (deoxynucleoside triphosphates) so that it can act processively on a single-stranded DNA template molecule to synthesize a complementary strand. The standard or native dNTPs are dATP, dCTP, dGTP, and dTTP, which provide the A, C, G, and T base monomers for polymerization into a DNA strand, in the form required for the enzyme to act on them as substrates. Polymerase enzymes, native or mutant, may also accept analogues of these natural dNTPs or modified forms that may enhance or enable the generation of the distinguishable signals in accordance to the present disclosure.
Many such modified forms of DNTPs are known to those skilled in the field of nucleic acid biochemistry, and all such forms may be enabling for signal production in various embodiments of the processive enzyme molecular sensor. This includes dNTPs that have modification to the base, the sugar, and/or the phosphate group. For example, common forms include deaza-, thio-, bromo- and iodo-modifications at various sites on the molecule, or the inclusion of metal ions or different isotopes at various sites, the inclusion of a diverse variety of dye molecules at various sites, or methylation of various sites, or biotinylation of various sites. In particular, such modifications include forms that have an extended phosphate chain beyond the native tri-phosphate, such as to tetra-, penta-, hexa-, hepta- or more (4 or more, up to 11 or more) phosphates. Further, modifications may comprise addition of a chemical group to the terminal phosphate of this chain of phosphates, or any of the phosphates, except the alpha-phosphate or first in the chain, which are cleaved off during incorporation of the dNTPs into a complementary strand.
Polymerases are highly tolerant of such derivatization, and retain a high level of activity in their presence. In various embodiments, such modifying groups may provide different charge states, or different sizes, or different degrees of hydrophobicity to the dNTPs, which may aid in producing distinguishable signals. In various embodiments, groups added to dNTPs may interact selectively with sites on the bridge molecule or on the polymerase or the template DNA to produce distinguishable signals. In various embodiments, the dNTPs may be modified to include a group that interacts directly with the signal generating features indicated in
Various embodiments of information encoding DNA molecular structures are shown in
Structures (C) and (D) shown in
The DNA molecules comprising encoded information for reading by the cognate processive enzyme molecular sensor, being of synthetic and designed origin, may be prepared with an architecture that facilities the reading process as well as the encoding (its synthesis) and decoding (the reading) processes. Such architectures are illustrated in
In structure (B) of
The DATA PAYLOAD DNA structure results from a sensor-specific information encoding scheme applied to a source digital data payload, such as binary data, as illustrated in
Choosing which BES is appropriate depends, in part, on the type of distinguishable signal features and their arrangements, as discussed in the context of
With continued reference to
It is understood that the BES exemplified in
For one illustrative example of such how the encoding is used to define a DNA sequence for synthesis, consider a sensor which has as distinguishable signaling features that are the oligonucleotides 5′-CCCC-3′ (SEQ ID NO: 3) and 5′-GGGG-3′ (SEQ ID NO: 4) and 5′-AAAA-3′ (SEQ ID NO: 5) bound to the respective reverse complement template segments F1=5′-GGGG-3′ (SEQ ID NO: 4), F2=5′-CCCC-3′ (SEQ ID NO: 3) and F3=5′-TTTT-3′ (SEQ ID NO: 6). Suppose the BES3 of
For robust recovery of digital data from DNA storage, a DNA data payload of interest may be processed by a processive enzyme sensor multiple times, or, for a collection of such payloads, they on average may be processed some expected number of multiple times. This repetition has the benefit of providing a more accurate estimation of the encoding distinguishable features by aggregating such multiple observations. This also has the benefit of overcoming fundamental Poisson sampling statistical variability to ensure that, with high confidence, a data payload of interest is sampled and observed at least once, or at least some desirable minimal number of times. In various embodiments, the desired number or expected number of such repeat interrogations may be in the range of 1 to 1000. In other embodiments, the number or expected number may be in the range of 3 to 30.
Such multiple observations may be via either of or a combination of: repeated observations of the same physical DNA molecule by the processive enzyme sensor, or by one or more processive enzyme sensors processing multiple, physically distinct DNA molecules that carry the same data payload. In the latter case, such multiple, physically distinct DNA molecules with the same data payload may be the DNA molecules produced by the same bulk synthesis reaction, or may be molecules from distinct such synthesis reactions targeting the same data payload, or may be replicate molecules produced by applying amplification or replication methods such as PCR, T7 amplification, rolling circle amplification, or other forms of replication known to those skilled in molecular biology. The aggregation of such multiple observations may be done through many methods, such as averaging or voting, maximum likelihood estimation, Bayesian estimation, hidden Markov methods, graph theoretic or optimization methods, or deep learning neural network methods.
In various embodiments, the digital data stored in DNA is read at a high rate, such as approaching 1 Gigabyte per second for recovering the digital data, as is possible with large scale magnetic tape storage systems. Because the maximum processing speed of a processive enzyme such as a polymerase is in the range of 100-1000 bases per second, depending on the type, the bit recovery rate of one sensor is limited to a comparable speed, and so it is highly desirable to deploy millions of sensors in a cost effective format to achieve the desired data reading capacity. In various embodiments, the sensors can be deployed as a large scale sensor array on a CMOS chip, which is the most cost-effective, semiconductor chip manufacturing process.
In various embodiments of the present disclosure, a DNA reader chip for use herein comprises at least 1 million sensors, at least 10 million sensors, at least 100 million sensors, or at least 1 billion sensors. Recognizing that a typical sensor data sampling rate may be 10 kHz, and recording 1 byte per measurement, a 100 million sensor chip produces raw signal data at a rate of 1 Terabyte (TB) per second. In considering how many sensors are desirable on a single chip, one critical consideration is the rate at which such a chip can decode digital data stored in DNA, compared to the desirable digital data reading rates. It is, for example, desirable to have digital data read out at a rate of up to 1 Gigabyte per second. Note that each bit of digital data encoded as DNA will require multiple signal measurements to recover, given that a feature of the signal use used to store this information, so this raw signal data production rate for the measured signal will be much higher that the recovery rate of encoded digital data. For example, if 10 signal measurements are required to recover 1 bit of stored digital data, as might be the case for signal features such as in
In various embodiments of the present disclosure, multiple chips are deployed within a reader system to achieve desired system-level digital data reading rates. The DNA data reader chip of
In some embodiments, chips within the reader system may be disposable, and replaced after a certain duty cycle, such as 24 hours to 48 hours. In other embodiments, the chips may be reconditioned in place after such a usage period, whereby the molecular complex, and possibly conjugating groups, are removed, and then replaced with new such components through a serious of chemical solution exposures. The removal process may comprise using voltages applied to the electrodes to drive removal, such as an elevated violated applied to the electrodes, or an alternating voltage applied to the electrodes, or a voltage sweep. The process may also comprise the use chemicals that denature, dissolve or dissociate or otherwise eliminate such groups, such as high molarity Urea, or Guanidine or other chaotropic salts, proteases such as Proteinase K, acids such as HCl, bases such as KOH or NaOH, or other agents well known in molecular biology and biochemistry for such purposes. This process may also include the use of applied temperature or light to drive the removal, such as elevated temperature or light in conjunction with photo-cleavable groups in the molecular complex or conjugation groups.
Alternative embodiments of processive enzyme molecular sensors relying on a different nano-electronic measurement configuration than the sensors of
Other embodiments of the nanopore current sensor version of the processive enzyme-based DNA digital data reader are shown in
In various embodiments of a processive enzyme molecular sensor, the sensor comprises a carbon nanotube as the bridge molecule, as illustrated in
In various embodiments, a processive enzyme molecular sensor provides optical signals via an internal Zero Mode Waveguide sensor, as shown in
In other embodiments, a molecular sensor used for reading encoded information may comprise an enzyme molecule capable of processing a non-DNA polymer template, as long as such a polymer allowed for bound, displaceable groups, or for permanently bound signaling features, as discussed above in the context of DNA molecules with oligonucleotides or perturbation groups bonded to a primary strand. Various embodiments of non-DNA data reading sensors is shown in
In various embodiments, a DNA data reading sensor, usable in a DNA data storage system, is disclosed. The molecular sensor comprises: (a) a pair of spaced-apart nano-electrodes; (b) a single processive enzyme complexed between the nano-electrodes to form a molecular electronic circuit; (c) a measurable electronic parameter of the circuit, modulated by the enzyme activity; (d) a measurement buffer and reagent solution and electrical operating parameters for making such measurements of the parameter of (c); and a feature of a DNA template molecule to be processed by the enzyme, with at least two possible states, that, when processed by enzyme of (b), said states produce distinguishable electrical signals in the measurable parameter of (c), when performed in the conditions provided by buffer and settings of (d).
The DNA data reading sensor may further comprise a gate electrode.
The processive enzyme of the DNA data reading sensor may be conjugated in place using a bridge molecule, or any number of arm or linker molecules to assist bonding the enzyme into the sensor circuit, such as shown in the drawing figures, and in particular where such bridge or arm molecules comprise a double stranded DNA, a protein alpha helix, a graphene nanoribbon, a carbon nanotube, an antibody, or Fab arm of an antibody.
The processive enzyme of the DNA data reading sensor may comprise a native or genetically engineered form of one of: a polymerase, a reverse transcriptase, a helicase, an exonuclease, and a molecular motor for packaging of viral DNA.
The measurable electronic parameter of the DNA data reading sensor is the source-drain current between the electrodes.
The signaling features may comprise oligonucleotides bound to a DNA template, which are displaced by the processive enzyme as the enzyme translocates along the DNA. The signaling features can also comprise chemical groups strongly bound to the DNA template such that they are not displaced from the DNA template strand as the enzyme translocates along the DNA.
The signaling features can also comprise oligonucleotides bound to the DNA template, wherein the oligonucleotides each have an additional chemical group attached, and wherein the oligonucleotides are displaced by the processive enzyme as it translocates along the DNA.
The DNA segments that produce distinguishable electrical signals may comprise any combination of binding sites for oligonucleotides and chemical groups conjugated to the DNA.
In various embodiments, a CMOS sensor array chip is disclosed. The CMOS sensor array chip may comprise an array of the DNA data reading sensor described along with supporting pixel circuitry that performs measurement of the measurable electrical parameter.
In various embodiments, a method of reading data encoded in a DNA molecule is disclosed. The method comprises: obtaining a DNA molecule that uses distinguishable signals of the DNA data reading sensor described to encode digital data; applying the molecule to the sensor within the buffer and reagent solution described; measuring the measurable electronic parameter; recording or extracting or capturing the distinguishable signals; and converting the measured distinguishable signals into the encoded data format.
In various embodiments, a method of reading data encoded in DNA with enhanced accuracy is disclosed. The method comprises: obtaining a DNA molecule that uses the distinguishable signals of the DNA data reading sensor described above to encode digital data; applying the molecule to the sensor of claim within the buffer and reagent solution described; measuring the measurable electronic parameter as described; repeating these steps multiple times for the same data payload of the DNA, through any combination of the following: distinct sensors capturing and processing distinct DNA molecules containing the same data payload; the same sensor processing the same DNA molecule multiple times, by using such molecules with a circular or hairpin or tandem repeat architecture that enables multiple processing; and the same sensor capturing and processing distinct DNA molecules that contain the same data payload; recording or extracting or capturing the distinguishable signals from all such reads of the same data payload; and converting the measured distinguishable signals from the multiple reads for the data payload into the encoded data format, by algorithmically aggregating the multiple readings to produce a most accurate, inferred encoded data format of the data payload.
A method of encoding data into a DNA molecule uses the distinguishable signal features of DNA from a DNA data reading sensor.
A method of encoding data into a DNA molecule uses a series of hybridized oligonucleotides, wherein such oligonucleotides may be with or without added chemical groups.
A method of encoding data into a DNA molecule uses encoding schemes in accordance with those described in
A method of encoding data into a DNA molecule using distinguishable signal features of a DNA data reading sensor comprises: treating distinguishable features as information states or symbols of an alphabet; using a lossless or lossy data encoding scheme that translates data encoded as a string in a binary or other digital alphabet, to a string in this feature symbol representation; and defining the encoded DNA sequence in accordance with the resulting string of features, by directly transforming it into the corresponding sequence, or possibly with standard other sequence elements placed between such features, such as spacers, or elements related to the method of DNA synthesis, or other forms of punctuation sequence between distinguishable signal feature sequences.
A method for reading data encoded in DNA in parallel comprises: applying a multiplicity of DNA molecules that use the distinguishable signal DNA features of a DNA data reading sensor as described to encode digital data; applying said molecules to a sensor array chip as described within a buffer and reagent solution; measuring the measurable electronic parameter of for each sensor within the array using the pixel circuitry mentioned; recording or extracting or capturing the distinguishable signals from each pixel for each DNA molecule; and converting the measured distinguishable signals from each pixel into the encoded data format for each DNA molecule.
A method for reading data stored in DNA at very high throughput comprises: supplying one or more chips to a motherboard that controls and transfers data from said chips; introducing DNA molecules encoding information utilizing the distinguishable signal features of the chip, and the related measurement buffer, to the sequencing chips; and capturing the resulting distinguishable signal features for the molecules of (b) and converting them back to the digital data encoded format.
A DNA data reading system comprises one or more such reading sensor array chips as described; an electronic hardware system for controlling and managing the electrical inputs and data outputs of such chips; a fluidic system for introducing the data encoding DNA molecules and measurement buffer to the chips; and a signal processing and data recording system for capturing the measured distinguishable signals, and converting these distinguishable signal feature measurements back to the digital data encoded format.
The chips may be single use, and replacement chips can be loaded to provide reading capacity over time.
The chips can be reconditioned or reset in situ, for repeated or continuous use to provide reading capacity over time.
In various embodiments, a cloud based DNA data storage system is disclosed. The system comprises: a data reader server cloud, which in turn comprises a DNA data reading system as described.
In various embodiments, a molecular electronics DNA data reading sensor is disclosed. The sensor comprises: a nanopore ion current sensor; a single processive enzyme complexed with the nanopore as part of a molecular complex; a measurement buffer and reagent solution and electrical operating parameters for making such measurements of the ion current through the pore; and a feature of the DNA template molecule, with at least two possible states, that, when processed by enzyme of (b), said states produced distinguishable electrical signals in the nanopore ion current sensor of (a), when performed in the conditions provided by buffer and settings of (c).
The signaling features may comprise oligonucleotides with attached groups that alter power ion current by directly engaging with the pore.
These sensors described can be used to read data encoded in DNA, in accordance with the methods disclosed.
In various embodiments, a molecular electronics DNA data reading sensor is disclosed. The sensor comprises: a pair of nano-electrodes; a carbon nanotube spanning the electrodes and in electrical contact; a single processive enzyme conjugated to the carbon nanotube; and a measurement buffer and reagent solution and electrical operating parameters for making measurements of the current passing through the nanotube between the electrodes.
In various embodiments, a DNA data reading sensor comprises: (a) a Zero Mode Waveguide; (b) a single processive enzyme conjugated to the bottom of the zero mode waveguide; (c) a measurement buffer and reagent solution and optical excitation operating parameters for making a measurements of optical emissions form the Zero Mode Waveguide; and (d) a feature of the DNA template molecule, with at least two possible states, that, when processed by enzyme of (b), said states produced distinguishable optical signals when performed in the conditions provided by buffer and settings of (c).
The above sensor may be used to read data encoded in DNA, in accordance with the methods described.
In various embodiments, a molecular electronics sensor for reading digital data encoded in a polymer is disclosed. The sensor comprises: a pair of nano-electrodes; a non-DNA polymer; a single processive enzyme complexed between the nano-electrodes as part of a molecular electronic circuit, where said enzyme acts processively on the polymer; a measurable electronic parameter of the circuit, modulated by the enzyme activity; a measurement buffer and reagent solution and electrical operating parameters for making such measurements of the measurable electronic parameter; and a feature of the polymer molecule, with at least two possible states, that, when processed by processive enzyme, said states produced distinguishable electrical signals in the measurable electronic parameter when performed in the conditions provided by the buffer and settings.
This sensor may be used to read data encoded in the polymer in accordance with the methods described, wherein DNA in the prior embodiments is replaced by the polymer.
DNA data reading processive enzyme molecular sensors and methods of making and using same are provided. References to “various embodiments”, “one embodiment”, “an embodiment”, “an example embodiment”, etc., indicate that the embodiment described may include a particular feature, structure, or characteristic, but every embodiment may not necessarily include the particular feature, structure, or characteristic. Moreover, such phrases are not necessarily referring to the same embodiment. Further, when a particular feature, structure, or characteristic is described in connection with an embodiment, it is submitted that it is within the knowledge of one skilled in the art to affect such feature, structure, or characteristic in connection with other embodiments whether or not explicitly described. After reading the description, it will be apparent to one skilled in the relevant art(s) how to implement the disclosure in alternative embodiments.
Benefits, other advantages, and solutions to problems have been described with regard to specific embodiments. However, the benefits, advantages, solutions to problems, and any elements that may cause any benefit, advantage, or solution to occur or become more pronounced are not to be construed as critical, required, or essential features or elements of the disclosure. The scope of the disclosure is accordingly to be limited by nothing other than the appended claims, in which reference to an element in the singular is not intended to mean “one and only one” unless explicitly so stated, but rather “one or more.” Moreover, where a phrase similar to ‘at least one of A, B, and C’ or ‘at least one of A, B, or C’ is used in the claims or specification, it is intended that the phrase be interpreted to mean that A alone may be present in an embodiment, B alone may be present in an embodiment, C alone may be present in an embodiment, or that any combination of the elements A, B and C may be present in a single embodiment; for example, A and B, A and C, B and C, or A and B and C.
All structural, chemical, and functional equivalents to the elements of the above-described various embodiments that are known to those of ordinary skill in the art are expressly incorporated herein by reference and are intended to be encompassed by the present claims. Moreover, it is not necessary for a device or method to address each and every problem sought to be solved by the present disclosure, for it to be encompassed by the present claims. Furthermore, no element, component, or method step in the present disclosure is intended to be dedicated to the public regardless of whether the element, component, or method step is explicitly recited in the claims. No claim element is intended to invoke 35 U.S.C. 112(f) unless the element is expressly recited using the phrase “means for.” As used herein, the terms “comprises”, “comprising”, or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a molecule, composition, process, method, or device that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such molecules, compositions, processes, methods, or devices.
This application claims priority to and the benefit of U.S. Provisional Patent Application Ser. No. 62/551,977 filed Aug. 30, 2017, entitled “Processive Enzyme Molecular Electronic Sensors for DNA Data Storage,” the disclosure of which is incorporated herein by reference in its entirety for all purposes.
Filing Document | Filing Date | Country | Kind |
---|---|---|---|
PCT/US2018/048873 | 8/30/2018 | WO | 00 |
Publishing Document | Publishing Date | Country | Kind |
---|---|---|---|
WO2019/046589 | 3/7/2019 | WO | A |
Number | Name | Date | Kind |
---|---|---|---|
4923586 | Katayama | May 1990 | A |
5082627 | Stanbro | Jan 1992 | A |
5194133 | Clark et al. | Mar 1993 | A |
5366140 | Koskenmaki et al. | Nov 1994 | A |
5414588 | Barbee, Jr. | May 1995 | A |
5486449 | Honso et al. | Jan 1996 | A |
5532128 | Eggers et al. | Jul 1996 | A |
5583359 | Ng et al. | Dec 1996 | A |
5639507 | Galvagni et al. | Jun 1997 | A |
5646420 | Yamashita | Jul 1997 | A |
5767687 | Geist | Jun 1998 | A |
5871918 | Thorp et al. | Feb 1999 | A |
5881184 | Guidash | Mar 1999 | A |
5965452 | Kovacs | Oct 1999 | A |
5982018 | Wark | Nov 1999 | A |
6051380 | Sosnowski et al. | Apr 2000 | A |
6060023 | Maracas | May 2000 | A |
6094335 | Early | Jul 2000 | A |
6110354 | Saban | Aug 2000 | A |
6123819 | Peeters | Sep 2000 | A |
6144023 | Clerc | Nov 2000 | A |
6238927 | Abrams et al. | May 2001 | B1 |
6440662 | Gerwen et al. | Aug 2002 | B1 |
6464889 | Lee et al. | Oct 2002 | B1 |
6506564 | Mirkin et al. | Jan 2003 | B1 |
6537747 | Mills, Jr. et al. | Mar 2003 | B1 |
6670131 | Hashimoto | Dec 2003 | B2 |
6673533 | Wohlstadter et al. | Jan 2004 | B1 |
6716620 | Bashir et al. | Apr 2004 | B2 |
6749731 | Kobori | Jun 2004 | B2 |
6762050 | Fukushima et al. | Jul 2004 | B2 |
6764745 | Karasawa et al. | Jul 2004 | B1 |
6790341 | Saban | Sep 2004 | B1 |
6824974 | Pisharody et al. | Nov 2004 | B2 |
6861224 | Fujita et al. | Mar 2005 | B2 |
6916614 | Takenaka et al. | Jul 2005 | B1 |
6958216 | Kelley | Oct 2005 | B2 |
7015046 | Wohlstadter et al. | Mar 2006 | B2 |
7075428 | Oleynik | Jul 2006 | B1 |
7169272 | Fritsch et al. | Jan 2007 | B2 |
7183055 | Van Der Weide | Feb 2007 | B2 |
7189435 | Tuominen et al. | Mar 2007 | B2 |
7202480 | Yokoi et al. | Apr 2007 | B2 |
7208077 | Albers et al. | Apr 2007 | B1 |
7276206 | Augustine et al. | Oct 2007 | B2 |
7399585 | Gau | Jul 2008 | B2 |
7432120 | Mascolo et al. | Oct 2008 | B2 |
7470533 | Xu et al. | Dec 2008 | B2 |
7507320 | Hwang et al. | Mar 2009 | B2 |
7531120 | Van Rijn et al. | May 2009 | B2 |
7579823 | Ayliffe | Aug 2009 | B1 |
7691433 | Kronholz et al. | Apr 2010 | B2 |
7785785 | Pourmand et al. | Aug 2010 | B2 |
7834344 | Mascolo et al. | Nov 2010 | B2 |
7851045 | Gandon et al. | Dec 2010 | B2 |
7886601 | Merassi et al. | Feb 2011 | B2 |
7901629 | Calatzis et al. | Mar 2011 | B2 |
7943394 | Flandre et al. | May 2011 | B2 |
8241508 | D'Urso | Aug 2012 | B2 |
8313633 | Li et al. | Nov 2012 | B2 |
8351181 | Ahn | Jan 2013 | B1 |
8591816 | Calatzis et al. | Nov 2013 | B2 |
8652768 | Huber et al. | Feb 2014 | B1 |
8753893 | Liu et al. | Jun 2014 | B2 |
8927464 | Aizenberg et al. | Jan 2015 | B2 |
8940663 | Iqbal et al. | Jan 2015 | B2 |
9070733 | Rajagopal et al. | Jun 2015 | B2 |
9108880 | Jin et al. | Aug 2015 | B2 |
9139614 | Medintz | Sep 2015 | B2 |
9306164 | Chang et al. | Apr 2016 | B1 |
9829456 | Merriman et al. | Nov 2017 | B1 |
9956743 | Jin et al. | May 2018 | B2 |
10036064 | Merriman et al. | Jul 2018 | B2 |
10125420 | Jin et al. | Nov 2018 | B2 |
10151722 | Jin et al. | Dec 2018 | B2 |
10508296 | Merriman et al. | Dec 2019 | B2 |
10526696 | Jin et al. | Jan 2020 | B2 |
10584410 | Jin et al. | Mar 2020 | B2 |
10597767 | Merriman et al. | Mar 2020 | B2 |
10712334 | Choi et al. | Jul 2020 | B2 |
20020022223 | Connolly | Feb 2002 | A1 |
20020090649 | Chan et al. | Jul 2002 | A1 |
20020137083 | Kobori et al. | Sep 2002 | A1 |
20020138049 | Allen et al. | Sep 2002 | A1 |
20020142150 | Baumann et al. | Oct 2002 | A1 |
20020142477 | Lewis et al. | Oct 2002 | A1 |
20020172963 | Kelley et al. | Nov 2002 | A1 |
20020184939 | Yadav | Dec 2002 | A1 |
20030025133 | Brousseau | Feb 2003 | A1 |
20030040000 | Connolly et al. | Feb 2003 | A1 |
20030040173 | Fonash | Feb 2003 | A1 |
20030064390 | Schülein et al. | Apr 2003 | A1 |
20030087296 | Fujita et al. | May 2003 | A1 |
20030109031 | Chafin et al. | Jun 2003 | A1 |
20030141189 | Lee et al. | Jul 2003 | A1 |
20030141276 | Lee et al. | Jul 2003 | A1 |
20030186263 | Frey et al. | Oct 2003 | A1 |
20030224387 | Kunwar et al. | Dec 2003 | A1 |
20040014106 | Patno et al. | Jan 2004 | A1 |
20040023253 | Kunwar et al. | Feb 2004 | A1 |
20040038090 | Faris | Feb 2004 | A1 |
20040048241 | Freeman et al. | Mar 2004 | A1 |
20040063100 | Wang | Apr 2004 | A1 |
20040086929 | Weide et al. | May 2004 | A1 |
20040096866 | Hoffman et al. | May 2004 | A1 |
20040012161 | Chiu | Jun 2004 | A1 |
20040146863 | Pisharody et al. | Jul 2004 | A1 |
20040209355 | Edman et al. | Oct 2004 | A1 |
20040209435 | Patridge et al. | Oct 2004 | A1 |
20040229247 | DeBoer et al. | Nov 2004 | A1 |
20040235016 | Hamers | Nov 2004 | A1 |
20040248282 | Sobha | Dec 2004 | A1 |
20050029227 | Chapman | Feb 2005 | A1 |
20050067086 | Ito et al. | Mar 2005 | A1 |
20050074911 | Kornilovich et al. | Apr 2005 | A1 |
20050151541 | Brinz et al. | Jul 2005 | A1 |
20050156157 | Parsons et al. | Jul 2005 | A1 |
20050164371 | Arinaga | Jul 2005 | A1 |
20050172199 | Miller et al. | Aug 2005 | A1 |
20050181195 | Dubrow | Aug 2005 | A1 |
20050221473 | Dubin et al. | Oct 2005 | A1 |
20050227373 | Flandre et al. | Oct 2005 | A1 |
20050247573 | Nakamura et al. | Nov 2005 | A1 |
20050285275 | Son | Dec 2005 | A1 |
20050287548 | Bao et al. | Dec 2005 | A1 |
20050287589 | Connolly | Dec 2005 | A1 |
20060003482 | Chinthakindi et al. | Jan 2006 | A1 |
20060019273 | Connolly et al. | Jan 2006 | A1 |
20060024504 | Nelson et al. | Feb 2006 | A1 |
20060024508 | D'Urso et al. | Feb 2006 | A1 |
20060029808 | Zhai et al. | Feb 2006 | A1 |
20060051919 | Mascolo et al. | Mar 2006 | A1 |
20060051946 | Mascolo et al. | Mar 2006 | A1 |
20060105449 | Larmer et al. | May 2006 | A1 |
20060105467 | Niksa et al. | May 2006 | A1 |
20060128239 | Nun et al. | May 2006 | A1 |
20060147983 | O'uchi | Jul 2006 | A1 |
20060154489 | Tornow | Jul 2006 | A1 |
20060275853 | Matthew et al. | Dec 2006 | A1 |
20070026193 | Luzinov et al. | Feb 2007 | A1 |
20070048748 | Williams et al. | Mar 2007 | A1 |
20070140902 | Calatzis et al. | Jun 2007 | A1 |
20070148815 | Chao et al. | Jun 2007 | A1 |
20070186628 | Curry et al. | Aug 2007 | A1 |
20070184247 | Simpson et al. | Sep 2007 | A1 |
20070207487 | Emig et al. | Sep 2007 | A1 |
20070231542 | Deng | Oct 2007 | A1 |
20080012007 | Li et al. | Jan 2008 | A1 |
20080098815 | Merassi et al. | May 2008 | A1 |
20080149479 | Olofsson et al. | Jun 2008 | A1 |
20080199657 | Capron et al. | Aug 2008 | A1 |
20080199659 | Zhao | Aug 2008 | A1 |
20090011222 | Xin et al. | Jan 2009 | A1 |
20090017571 | Nuckolls | Jan 2009 | A1 |
20090020428 | Levitan | Jan 2009 | A1 |
20090027036 | Nuckolls et al. | Jan 2009 | A1 |
20090062684 | Gregersen et al. | Mar 2009 | A1 |
20090152109 | Whitehead et al. | Jun 2009 | A1 |
20090162927 | Naaman et al. | Jun 2009 | A1 |
20090170716 | Su et al. | Jul 2009 | A1 |
20090178935 | Reymond et al. | Jul 2009 | A1 |
20090295372 | Krstic et al. | Dec 2009 | A1 |
20090297913 | Zhang et al. | Dec 2009 | A1 |
20090306578 | Sivan et al. | Dec 2009 | A1 |
20090324308 | Law et al. | Dec 2009 | A1 |
20100035254 | Williams | Feb 2010 | A1 |
20100038342 | Lim et al. | Feb 2010 | A1 |
20100044212 | Kim et al. | Feb 2010 | A1 |
20100055397 | Kurihara et al. | Mar 2010 | A1 |
20100132771 | Lu | Jun 2010 | A1 |
20100142259 | Drndic et al. | Jun 2010 | A1 |
20100149530 | Tomaru | Jun 2010 | A1 |
20100167938 | Su et al. | Jul 2010 | A1 |
20100184062 | Steinmueller-Nethl et al. | Jul 2010 | A1 |
20100188109 | Edel et al. | Jul 2010 | A1 |
20100194409 | Gao et al. | Aug 2010 | A1 |
20100201381 | Iqbal et al. | Aug 2010 | A1 |
20100206367 | Jeong et al. | Aug 2010 | A1 |
20100227416 | Koh et al. | Sep 2010 | A1 |
20100280397 | Feldman et al. | Nov 2010 | A1 |
20100285275 | Baca et al. | Nov 2010 | A1 |
20100285601 | Kong et al. | Nov 2010 | A1 |
20100288543 | Hung et al. | Nov 2010 | A1 |
20100300899 | Levine et al. | Dec 2010 | A1 |
20110056845 | Stellacci | Mar 2011 | A1 |
20110065588 | Su et al. | Mar 2011 | A1 |
20110076783 | Liu et al. | Mar 2011 | A1 |
20110091787 | McGrath et al. | Apr 2011 | A1 |
20110160077 | Chaisson et al. | Jun 2011 | A1 |
20110166034 | Kwong et al. | Jul 2011 | A1 |
20110217763 | Rasooly et al. | Sep 2011 | A1 |
20110227558 | Mannion et al. | Sep 2011 | A1 |
20110229667 | Jin et al. | Sep 2011 | A1 |
20110233075 | Soleymani et al. | Sep 2011 | A1 |
20110248315 | Nam et al. | Oct 2011 | A1 |
20110287956 | Iqbal et al. | Nov 2011 | A1 |
20110291673 | Shibata et al. | Dec 2011 | A1 |
20110311853 | Fratti | Dec 2011 | A1 |
20110312529 | He et al. | Dec 2011 | A1 |
20120060905 | Fogel et al. | Mar 2012 | A1 |
20120122715 | Gao et al. | May 2012 | A1 |
20120220046 | Chao | Aug 2012 | A1 |
20120258870 | Schwartz et al. | Oct 2012 | A1 |
20120286332 | Rothberg et al. | Nov 2012 | A1 |
20120309106 | Eichen et al. | Dec 2012 | A1 |
20130049158 | Hong et al. | Feb 2013 | A1 |
20130071289 | Knoll | Mar 2013 | A1 |
20130108956 | Lu et al. | May 2013 | A1 |
20130109577 | Korlach et al. | May 2013 | A1 |
20130162276 | Lee et al. | Jun 2013 | A1 |
20130183492 | Lee et al. | Jul 2013 | A1 |
20130214875 | Duncan et al. | Aug 2013 | A1 |
20130239349 | Knights et al. | Sep 2013 | A1 |
20130245416 | Yarmush et al. | Sep 2013 | A1 |
20130273340 | Neretina et al. | Oct 2013 | A1 |
20130281325 | Elibol et al. | Oct 2013 | A1 |
20130331299 | Reda et al. | Dec 2013 | A1 |
20140001055 | Elibol et al. | Jan 2014 | A1 |
20140011013 | Jin | Jan 2014 | A1 |
20140018262 | Reda et al. | Jan 2014 | A1 |
20140048776 | Huang et al. | Feb 2014 | A1 |
20140054788 | Majima et al. | Feb 2014 | A1 |
20140057283 | Wang et al. | Feb 2014 | A1 |
20140061049 | Lo et al. | Mar 2014 | A1 |
20140079592 | Chang et al. | Mar 2014 | A1 |
20140027775 | Quick et al. | Jun 2014 | A1 |
20140170567 | Sakamoto et al. | Jun 2014 | A1 |
20140174927 | Bashir et al. | Jun 2014 | A1 |
20140197459 | Kis et al. | Jul 2014 | A1 |
20140218637 | Gao et al. | Aug 2014 | A1 |
20140235493 | Zang et al. | Aug 2014 | A1 |
20140253827 | Gao et al. | Sep 2014 | A1 |
20140284667 | Basker et al. | Sep 2014 | A1 |
20140320849 | Chou et al. | Oct 2014 | A1 |
20140367749 | Bai et al. | Dec 2014 | A1 |
20140377900 | Yann et al. | Dec 2014 | A1 |
20150005188 | Levner et al. | Jan 2015 | A1 |
20150017655 | Huang et al. | Jan 2015 | A1 |
20150049332 | Sun et al. | Feb 2015 | A1 |
20150057182 | Merriman et al. | Feb 2015 | A1 |
20150065353 | Turner et al. | Mar 2015 | A1 |
20150068892 | Ueno et al. | Mar 2015 | A1 |
20150077183 | Ciubotaru | Mar 2015 | A1 |
20150148264 | Esfandyarpour et al. | May 2015 | A1 |
20150177150 | Rothberg et al. | Jun 2015 | A1 |
20150191709 | Heron et al. | Jul 2015 | A1 |
20150263203 | Lewis et al. | Sep 2015 | A1 |
20150293025 | Ninomiya et al. | Oct 2015 | A1 |
20150294875 | Khondaker et al. | Oct 2015 | A1 |
20150344945 | Mandell et al. | Dec 2015 | A1 |
20160017416 | Boyanov et al. | Jan 2016 | A1 |
20160045378 | Geloen | Feb 2016 | A1 |
20160155971 | Strachan et al. | Jun 2016 | A1 |
20160187282 | Gardner et al. | Jun 2016 | A1 |
20160265047 | van Rooyen et al. | Sep 2016 | A1 |
20160284811 | Yu et al. | Sep 2016 | A1 |
20160290957 | Ram | Oct 2016 | A1 |
20160319342 | Kawai et al. | Nov 2016 | A1 |
20160377564 | Carmignani et al. | Dec 2016 | A1 |
20170023512 | Cummins et al. | Jan 2017 | A1 |
20170037462 | Turner et al. | Feb 2017 | A1 |
20170038333 | Turner | Feb 2017 | A1 |
20170043355 | Fischer | Feb 2017 | A1 |
20170044605 | Merriman | Feb 2017 | A1 |
20170131237 | Ikeda | May 2017 | A1 |
20170184542 | Chatelier et al. | Jun 2017 | A1 |
20170234825 | Elibol et al. | Aug 2017 | A1 |
20170240962 | Merriman | Aug 2017 | A1 |
20170288017 | Majima et al. | Oct 2017 | A1 |
20170332918 | Keane | Nov 2017 | A1 |
20180014786 | Keane | Jan 2018 | A1 |
20180031508 | Jin | Feb 2018 | A1 |
20180031509 | Jin | Feb 2018 | A1 |
20180045665 | Jin | Feb 2018 | A1 |
20180259474 | Jin | Sep 2018 | A1 |
20180297321 | Jin et al. | Oct 2018 | A1 |
20180305727 | Merriman | Oct 2018 | A1 |
20180340220 | Merriman | Nov 2018 | A1 |
20190004003 | Merriman | Jan 2019 | A1 |
20190033244 | Jin | Jan 2019 | A1 |
20190039065 | Choi | Feb 2019 | A1 |
20190041355 | Merriman | Feb 2019 | A1 |
20190041378 | Choi | Feb 2019 | A1 |
20190094175 | Merriman | Mar 2019 | A1 |
20190194801 | Jin et al. | Jun 2019 | A1 |
20190355442 | Merriman et al. | Nov 2019 | A1 |
20190376925 | Choi et al. | Dec 2019 | A1 |
20190383770 | Choi et al. | Dec 2019 | A1 |
20200157595 | Merriman et al. | May 2020 | A1 |
20200217813 | Merriman et al. | Jul 2020 | A1 |
20200242482 | Merriman et al. | Jul 2020 | A1 |
20200277645 | Merriman et al. | Sep 2020 | A1 |
20200385850 | Merriman et al. | Dec 2020 | A1 |
20200385855 | Jin et al. | Dec 2020 | A1 |
20200393440 | Jin et al. | Dec 2020 | A1 |
Number | Date | Country |
---|---|---|
1795376 | Jun 2006 | CN |
102706940 | Oct 2012 | CN |
104685066 | Jun 2015 | CN |
104703700 | Jun 2015 | CN |
108027335 | May 2018 | CN |
102012008375 | Oct 2012 | DE |
2053383 | Apr 2009 | EP |
3403079 | Nov 2018 | EP |
3408219 | Dec 2018 | EP |
3408220 | Dec 2018 | EP |
3414784 | Dec 2018 | EP |
3420580 | Jan 2019 | EP |
2485559 | May 2012 | GB |
0233981 | Jul 1990 | JP |
2008-258594 | Oct 2008 | JP |
2018-522236 | Aug 2018 | JP |
20070059880 | Jun 2007 | KR |
20110104245 | Sep 2011 | KR |
2001044501 | Jun 2001 | WO |
2002049980 | Jun 2002 | WO |
2002074985 | Sep 2002 | WO |
2003042396 | May 2003 | WO |
2004096986 | Nov 2004 | WO |
2004099307 | Nov 2004 | WO |
2005108612 | Nov 2005 | WO |
2007054649 | May 2007 | WO |
2007102960 | Sep 2007 | WO |
2007126432 | Nov 2007 | WO |
2007128965 | Nov 2007 | WO |
2009003208 | Jan 2009 | WO |
2009035647 | Mar 2009 | WO |
2010022107 | Feb 2010 | WO |
2012083249 | Jun 2012 | WO |
2012087352 | Jun 2012 | WO |
2012152056 | Nov 2012 | WO |
2013096851 | Jun 2013 | WO |
2014182630 | Jul 2014 | WO |
2015167019 | Nov 2015 | WO |
2015176990 | Nov 2015 | WO |
2015188197 | Dec 2015 | WO |
2016016635 | Feb 2016 | WO |
2016100635 | Jun 2016 | WO |
2016100637 | Jun 2016 | WO |
2016196755 | Dec 2016 | WO |
2016210386 | Dec 2016 | WO |
2017027518 | Feb 2017 | WO |
2017041056 | Mar 2017 | WO |
2017042038 | Mar 2017 | WO |
2017061129 | Apr 2017 | WO |
2017123416 | Jul 2017 | WO |
2017132567 | Aug 2017 | WO |
2017132586 | Aug 2017 | WO |
2017139493 | Aug 2017 | WO |
2017147187 | Aug 2017 | WO |
2017151680 | Sep 2017 | WO |
2017184677 | Oct 2017 | WO |
2018022799 | Feb 2018 | WO |
2018026855 | Feb 2018 | WO |
2018098286 | May 2018 | WO |
2018132457 | Jul 2018 | WO |
2018136148 | Jul 2018 | WO |
2018200687 | Nov 2018 | WO |
2018208505 | Nov 2018 | WO |
2003091458 | Jan 2019 | WO |
Entry |
---|
Argarana et al “molecular cloning and nucleotide sequence of the streptavidin gene” Nucleic Acids Research, 1986, 14 (4): 1871-1882. (Year: 1986). |
USPTO; Requirement for Restriction dated Nov. 2, 2011 in U.S. Appl. No. 12/667,583. |
USPTO; Non-Final Office Action dated Sep. 28, 2018 in U.S. Appl. No. 12/667,583. |
USPTO; Final Office Action dated Feb. 19, 2019 in U.S. Appl. No. 12/667,583. |
USPTO; Non-Final Office Action dated Aug. 19, 2019 in U.S. Appl. No. 12/667,583. |
USPTO; Requirement for Restriction dated Dec. 1, 2016 in U.S. Appl. No. 13/996,477. |
USPTO; Non-Final Office Action dated May 5, 2017 in U.S. Appl. No. 13/996,477. |
USPTO; Final Office Action dated Oct. 4, 2017 in U.S. Appl. No. 13/996,477. |
USPTO; Notice of Allowance dated Jan. 3, 2018 in U.S. Appl. No. 13/996,477. |
USPTO; Final Office Action dated Dec. 30, 2016 in U.S. Appl. No. 15/050,270. |
USPTO; Advisory Action dated Mar. 14, 2017 in U.S. Appl. No. 15/050,270. |
USPTO; Non-Final Office Action dated Sep. 29, 2017 in U.S. Appl. No. 15/050,270. |
USPTO; Final Office Action dated Jul. 10, 2018 in U.S. Appl. No. 15/050,270. |
USPTO; Advisory Action dated Sep. 26, 2018 in U.S. Appl. No. 15/050,270. |
USPTO; Non-Final Office Action dated Feb. 26, 2019 in U.S. Appl. No. 15/050,270. |
USPTO; Final Office Action dated Jul. 10, 2019 in U.S. Appl. No. 15/050,270. |
USPTO; Notice of Allowance dated Jan. 6, 2020 in U.S. Appl. No. 15/050,270. |
USPTO; Non-Final Office Action dated Oct. 19, 2016 in U.S. Appl. No. 15/220,307. |
USPTO; Notice of Allowance dated Jul. 28, 2017 in U.S. Appl. No. 15/220,307. |
USPTO; Requirement for Restriction dated Jan. 17, 2017 in U.S. Appl. No. 15/336,557. |
USPTO; Non-Final Office Action dated May 16, 2017 in U.S. Appl. No. 15/336,557. |
USPTO; Final Office Action dated Mar. 8, 2018 in U.S. Appl. No. 15/336,557. |
USPTO; Notice of Allowance dated May 25, 2018 in U.S. Appl. No. 15/336,557. |
USPTO; Non-Final Office Action dated Feb. 9, 2018 in U.S. Appl. No. 15/728,400. |
USPTO; Final Office Action dated Jul. 10, 2018 in U.S. Appl. No. 15/728,400. |
USPTO; Advisory Action dated Oct. 12, 2018 in U.S. Appl. No. 15/728,400. |
USPTO; Advisory Action dated Nov. 14, 2018 in U.S. Appl. No. 15/728,400. |
USPTO; Notice of Allowance dated Dec. 6, 2018 in U.S. Appl. No. 15/728,400. |
USPTO; Non-Final Office Action dated Feb. 23, 2018 in U.S. Appl. No. 15/728,412. |
USPTO; Notice of Allowance dated Sep. 12, 2018 in U.S. Appl. No. 15/728,412. |
USPTO; Final Office Action dated Jun. 13, 2018 in U.S. Appl. No. 15/728,412. |
USPTO; Non-Final Office Action dated Feb. 23, 2018 in U.S. Appl. No. 15/796,080. |
USPTO; Final Office Action dated Jun. 14, 2018 in U.S. Appl. No. 15/796,080. |
USPTO; Advisory Action dated Sep. 4, 2018 in U.S. Appl. No. 15/796,080. |
USPTO; Notice of Allowance dated Oct. 11, 2018 in U.S. Appl. No. 15/796,080. |
USPTO; Non-Final Office Action dated March 7, 2019 in U.S. Appl. No. 15/944,356. |
USPTO; Non-Final Office Action dated Sep. 4, 2018 in U.S. Appl. No. 15/979,135. |
USPTO; Non-Final Office Action dated Nov. 30, 2018 in U.S. Appl. No. 15/979,135. |
USPTO; Final Office Action dated Mar. 1, 2019 in U.S. Appl. No. 15/979,135. |
USPTO; Advisory Action dated May 22, 2019 in U.S. Appl. No. 15/979,135. |
USPTO; Non-Final Office Action dated Jun. 25, 2019 in U.S. Appl. No. 15/979,135. |
USPTO; Notice of Allowance dated Dec. 11, 2019 in U.S. Appl. No. 15/979,135. |
USPTO; Non-Final Office Action dated Aug. 22, 2019 in the U.S. Appl. No. 16/011,065. |
USPTO; Final Office Action dated Mar. 6, 2020 in U.S. Appl. No. 16/011,065. |
USPTO; Requirement for Restriction dated Oct. 15, 2018 in U.S. Appl. No. 16/015,028. |
USPTO; Non-Final Office Action dated Dec. 26, 2018 in U.S. Appl. No. 16/015,028. |
USPTO; Final Office Action dated Apr. 15, 2019 in U.S. Appl. No. 16/015,028. |
USPTO; Non-Final Office Action dated Jul. 30, 2019 in the U.S. Appl. No. 16/015,028. |
USPTO; Notice of Allowance dated Nov. 8, 2019 in U.S. Appl. No. 16/015,028. |
USPTO; Requirement for Restriction dated Dec. 17, 2018 in U.S. Appl. No. 16/015,049. |
USPTO; Non-Final Office Action dated Mar. 6, 2019 in U.S. Appl. No. 16/015,049. |
USPTO; Final Office Action dated Jun. 19, 2019 in U.S. Appl. No. 16/015,049. |
USPTO; Non-Final Office Action dated Nov. 5, 2019 in U.S. Appl. No. 16/015,049. |
USPTO; Notice of Allowance dated Feb. 20, 2020 in U.S. Appl. No. 16/015,049. |
USPTO; Non-Final Office Action dated Apr. 13, 2020 in U.S. Appl. No. 16/070,133. |
USPTO; Restriction Requirement dated Sep. 19, 2019 in U.S. Appl. No. 16/073,706. |
USPTO; Non-Final Office Action dated Oct. 24, 2019 in U.S. Appl. No. 16/073,706. |
USPTO; Non-Final Office Action dated Jan. 10, 2020 in U.S. Appl. No. 16/076,673. |
USPTO; Non-Final Office Action dated Feb. 1, 2019 in U.S. Appl. No. 16/152,190. |
USPTO; Notice of Allowance dated May 30, 2019, in U.S. Appl. No. 16/152,190. |
USPTO; Restriction Requirement dated May 29, 2019 in U.S. Appl. No. 16/250,929. |
USPTO; Notice of Allowance dated Oct. 23, 2019 in U.S. Appl. No. 16/250,929. |
USPTO; Restriction Requirement dated Apr. 8, 2020 in U.S. Appl. No. 16/479,257. |
PCT; International Search Report and Written Opinion dated Nov. 29, 2012 in Application No. PCT/US2011/001995. |
PCT; International Search Report and Written Opinion dated Apr. 13, 2018 in Application No. PCT/US2018/013140. |
PCT; International Search Report and Written Opinion dated Jan. 27, 2017 in Application No. PCT/US2017/015437. |
PCT; International Search Report and Written Opinion dated Jan. 27, 2017 in Application No. PCT/US2017/015465. |
PCT; International Search Report and Written Opinion dated Jul. 26, 2017 in Application No. PCT/US2017/017231. |
PCT; International Search Report and Written Opinion dated May 25, 2017 in Application No. PCT/US2017/018950. |
PCT; International Search Report and Written Opinion dated Jul. 20, 2018 in Application No. PCT/US2018/029382. |
PCT; International Search Report and Written Opinion dated Jul. 20, 2018 in Application No. PCT/US2018/029393. |
PCT; International Search Report and Written Opinion dated Sep. 27, 2016 in Application No. PCT/US2016/039446. |
PCT; International Search Report and Written Opinion dated Nov. 22, 2017 in Application No. PCT/US2017/044023. |
PCT; International Search Report and Written Opinion dated Dec. 26, 2017 in Application No. PCT/US2017/044965. |
PCT; International Search Report and Written Opinion received Nov. 9, 2018 in Application No. PCT/US2018/048873. |
PCT; International Search Report and Written Opinion dated Apr. 8, 2010 in Application No. PCT/US2009/054235. |
PCT; International Search Report and Written Opinion dated Jan. 18, 2019 in Application No. PCT/US2018/055264. |
PCT; International Search Report and Written Opinion dated Mar. 12, 2018 in Application No. PCT/US2017/063025. |
PCT; International Search Report and Written Opinion dated Mar. 7, 2018 in Application No. PCT/US2017/063105. |
PCT; International Search Report and Written Opinion dated Apr. 18, 2017 in Application No. PCT/US2016/068922. |
CN; Notice of the First Office Action dated Sep. 2, 2019 in Chinese Application No. 201680049272.8. |
CN; Notice of the First Office Action dated Sep. 30, 2019 in Chinese Application No. 201780020478.2. |
EP; European Search Report dated Jan. 30, 2019 in Application No. 16815467.2. |
EP; European Search Report dated Aug. 2, 2019 in Application No. 16885434.7. |
EP; European Search Report dated Jan. 29, 2020 in Application No. 17745013.7. |
EP; European Search Report dated Aug. 2, 2019 in Application No. 17745026.9. |
EP; European Search Report dated Jan. 29, 2020 in Application No. 17750776.1. |
EP; European Search Report dated Oct. 24, 2019 in Application No. 17757146.0. |
EP; European Search Report dated Mar. 6, 2020 in Application No. 17835231.6. |
EP; European Search Report dated Feb. 7, 2020 in Application No. 17837566.3. |
Ahn et al., “Electrical Immunosensor Based on a Submicron-Gap Interdigitated Electrode and Gold Enhancement,” Biosensors and Bioelectronics, vol. 26, pp. 4690-4696, (2011). |
Alayo et al., “Gold Interdigitated Nanoelectrodes as a Sensitive Analytical Tool for Selective Detection of Electroactive Species via Redox Cycling,” Microchim Acta, vol. 183, pp. 1633-1639, (2016). |
Antibody Structure Downloaded from https://absoluteantibody.com/antibody-resources/antibody-overview/antibody-structure/ (Mar. 1, 2019). |
Bai et al., “Review: Gas Sensors Based on Conducting Polymers,” Sensors, vol. 7, pp. 267-307, (2007). |
Bailey et al., “DNA-Encoded Antibody Libraries: A Unified Platform for Multiplexed Cell Sorting and Detection of Genes and Proteins,” Journal of American Chemical Society, vol. 129, pp. 1959-1967, (2007). |
Bechelany et al. “Synthesis Mechanisms of Organized Nanoparticles: Influence of Annealing Temperature and Atmosphere,” Crystal Growth and Design, vol. 10, pp. 587-596 (Oct. 21, 2010). |
Berdat et al., “Label-Free Detection of DNA with Interdigitated Micro-Electrodes in a Fluidic Cell,” Lab on a Chip, vol. 8, pp. 302-308, (2008). |
Bhura, “3D Interdigitated Electrode Array (IDEA) Biosensor for Detection of Serum Biomarker,” Master Thesis, Portland State University, 68 Pages, (2011). |
Blossey, R., “Self-Cleaning Surfaces—Virtual Realities,” Nature Materials, vol. 2(5), pp. 301-306, (May 2006). |
Bonilla et al., “Electrical Readout of Protein Microarrays on Regular Glass Slides,” Analytical Chemistry, vol. 83, pp. 1726-1731, (2011). |
Botsialas et al., “A Miniaturized Chemocapacitor System for the Detection of Volatile Organic Compounds,” Sensors and Actuators B, Chemical, vol. 177, pp. 776-784, (2013). |
Branagan et al., “Enhanced Mass Transport of Electroactive Species to Annular Nanoband Electrodes Embedded in Nanocapillary Array Membranes,” Journal of the American Chemical Society, vol. 134, pp. 8617-8624, (2012). |
Braun et al., “DNA-Templated Assembly and Electrode Attachment of a Conducting Silver Wire,” Letters to Nature, vol. 391(6669), pp. 775-778, (Feb. 1998). |
Briglin et al., “Exploitation of Spatiotemporal Information and Geometric Optimization of Signal/Noise Performance Using Arrays of Carbon Black-Polymer Composite Vapor Detectors,” Sensors and Actuators B, vol. 82, pp. 54-74, (2002). |
Cassie, A.B.D. et al., “Wettability of Porous Surfaces,” Transitions of the Faraday Society, vol. 40, pp. 546-551, (Jan. 1944) (Abstract Only). |
Cerofolini et al., “A Hybrid Approach to Nanoelectronics: A Hybrid Approach to Nanoelectrics,” Nanotechnology, Institute of Physics Publishing, GB, vol. 16, No. 8, pp. 1040-1047 (2005). |
Chen, X. et al., “Electrical Nanogap Devices for Biosensing,” Materials Today, vol. 13, pp. 28-41, (Nov. 2010). |
Chen et al., “Electrochemical Approach for Fabricating Nanogap Electrodes with Well Controllable Separation,” Applied Physics Letters, vol. 86, pp. 123105.1-123105.3, (2005). |
Chen et al., “Fabrication of Submicron-Gap Electrodes by Silicon Volume Expansion for DNA-Detection,” Sensors and Actuators A, vol. 175, pp. 73-77, (2012). |
Choi, J. E. et al., “Fabrication of Microchannel with 60 Electrodes and Resistance Measurement,” Flow Measurement and Instrumentation, vol. 21, pp. 178-183, (Sep. 2010) (Abstract Only). |
Choi Y.S. et al., “Hybridization by an Electroatomical Genome on Detection on Using an Indicator-Free DNA on a Microelectrode-Array DNA Chip,” Bulletin of the Korean Chemistry Society, vol. 26, pp. 379-383, (2005). |
Choi, C. et al., “Strongly Superhydrophobic Silicon Nanowires by Supercritical CO2 Drying,” Electronic Materials Letters, vol. 6 (2), pp. 59-64, (Jun. 2010). |
Church et al., “Next-Generation Digital Information Storage in DNA,” Science, vol. 337(6102), p. 6102, (Sep. 28, 2012). |
Cosofret et al., “Microfabricated Sensor Arrays Sensitive to pH and K+ for Ionic Distribution Measurements in the Beating Heart,” Analytical Chemistry, vol. 67, pp. 1647-1653, (1995). |
Coulson S.R. et al., “Super-Repellent Composite Fluoropolymer Surfaces,” The Journal of Physical Chemistry B., vol. 104(37), pp. 8836-8840, (Aug. 2000). |
Dickey et al., “Electrically Addressable Parallel Nanowires with 30 NM Spacing from Micromolding and Nanoskiving,” Nano Letters, vol. 8(12), pp. 4568-4573, (2008). |
Fan et al., “Detection of MicroRNAs Using Target-Guided Formation of Conducting Polymer Nanowires in Nanogaps,” Journal of the American Chemical Society, vol. 129, pp. 5437-5443, (2007). |
Fink et al. “Electrical Conduction Through DNA Molecules,” Nature, vol. 398, pp. 407-410 (Jan. 20, 1999). |
Fuller et al., “Real-Time Single-Molecule Electronic DNA Sequencing by Synthesis Using Polymer-Tagged Nucleotides on a Nanopore Array,” Proceedings of the National Academy of Sciences, vol. 113(19), pp. 5233-5523, (May 10, 2016). |
Gapin, A.I. et al., “CoPt Patterned Media in Anodized Aluminum Oxide Templates,” Journal of Applied Physics, vol. 99(8), pp. 08G902 (1-3), (Apr. 2006). |
Ghindilis, A. et al., “Real Time Biosensor Platforms Fully Integrated Device for Impedimetric Assays,” ECS Transactions, vol. 33, pp. 59-68, (2010). |
Guo et al., “Conductivity of a single DNA duplex bridging a carbon nanotube gap,” Nat. Nanotechnol., vol. 3, No. 3, pp. 1-12 (2008). |
Han, “Energy Band Gap Engineering of Graphene Nanoribbons,” Physical Review Letters, vol. 98, pp. 1-7, (May 16, 2007). |
Han et al., “Redox Cycling in Nanopore-Confined Recessed Dual-Ring Electrode Arrays,” Journal of Physical Chemistry C, vol. 120, pp. 20634-20641, (2016). |
Hanief, Topic, Pineda-Vargas, “Solid State Dewetting of Continuous Thin Platinum Coatings,” Nuclear Instruments and Methods in Physics Research, vol. 363, pp. 173-176, (2015). |
Hashioka et al., “Deoxyribonucleic Acid Sensing Device with 40-NM-Gap-Electrodes Fabricated by Low-Cost Conventional Techniques,” Applied Physics Letters, vol. 85(4), p. 687-688, (Jul. 2004). |
He et al., “Electromechanical Fabrication of Atomically Thin Metallic Wires and Electrodes Separated with Molecular-Scale Gaps,” Journal of Electroanalytical Chemistry, vol. 522, pp. 167-172, (Jan. 2002). |
Heerema et al., “Graphene Nanodevices for DNA Sequencing,” Nature Nanotechnology, vol. 11, pp. 127-136, (Feb. 3, 2016). |
Henry et al., “Microcavities Containing Individually Addressable Recessed Microdisk and Tubular Nanoband Electrodes,” Journal of the Electrochemical Society, vol. 146(9), pp. 3367-3373, (1999). |
Hwang et al., “Electrical Transport Through 60 Base Pairs of Poly (dG)-Poly (dC) DNA Molecules,” Applied Physics Letters, vol. 81(6), p. 1134-1136, (Aug. 2002). |
Ino et al., “Addressable Electrode Array Device with IDA Electrodes for High-Throughput Detection,” Lab on a Chip, vol. 11, p. 385-388, (2011). |
Ino et al., “Local Redox-Cycling-Based Electrochemical Chip Device with Seep Microwells for Evaluation of Embryoid Bodies,” Angewandte Chemie International Edition, vol. 51, pp. 6648-6652, (2012). |
Iqbal et al., “Direct Current Electrical Characterization of ds-DNA in Nanogap Junctions,” Applied Physics Letter, vol. 86, p. 153901-1-153901-3, (Apr. 2005). |
Javey et al., “Layer-By-Layer Assembly of Nanowires for Three-Dimensional, Multifunctional Electronics,” Nano Letters, vol. 7, pp. 773-777, (2007). |
Khawli et al., “Charge Variants in IgG1-Isolation, Characterization, In Vitro Binding Properties and Pharmacokinetics in Rats,” Landes Bioscience, vol. 2(6), pp. 613-623, (2010). |
Kim, J. Y. et al., “Optically Transparent Glass with Vertically Aligned Surface AI203 Nanowires Having Superhydrophobic Characteristics,” Nano: Brief Reports and Reviews, vol. 5(2), pp. 89-95, (Apr. 2010) (Abstract Only). |
Kim et al., “Rapid Fabrication of Uniformly Sized Nanopores and Nanopore Arrays for Parallel DNA Analysis,” Advances Materials, vol. 18, pp. 3149-3153, (Dec. 4, 2006). |
Kitsara et al., “Single Chip Interdigitated Electrode Capacitive Chemical Sensor Arrays,” Sensors and Actuators B, vol. 127, pp. 186-192, (2007). |
Kitsara et al., “Small-Volume Multiparametric Electrochemical Detection at Low Cost Polymeric Devices Featuring Nanoelectrodes,” SPIE, vol. 9518, 9 Pages, (2015). |
Kraft, “Doped Diamond: A Compact Review on a New, Versatile Electrode Material,” International Journal of Electrochemistry, vol. 2, pp. 355-385, (May 2007). |
Kumar et al., “Terminal Phosphate Labeled Nucleotides: Synthesis, Applications and Linker Effect on Incorporation by DNA Polymerases,” Nucleosides, Nucleotides and Nucleic Acids, Taylor and Francis, vol. 24, No. 5-7, pp. 401-408 (2005). |
Lee, K. H. et al., “One-Chip Electronic Detection of DNA Hybridization using Precision Impedance-Based CMOS Array Sensor,” Biosensors and Bioelectronics, vol. 26, pp. 1373-1379, (Dec. 15, 2010). |
Lin et al., “An Addressable Microelectrode Array for Electrichemical Detection,” Analytical Chemistry, vol. 80, pp. 6830-6833, (2008). |
Liu et al., “Atomically Thin Molybdenum Disulfide Nanopores with High Sensitivity for DNA Translocation,” ACS Nano, vol. 8, pp. 2504-2511, (Feb. 18, 2014). |
Liu et al., “An Enzyme-Based E-DNA Sensor for Sequence-Specific Detection of Femtomolar DNA Targets,” J. Am. Chem. Soc., vol. 130(21), pp. 6820-6825, (2008). |
Liu et al., “Controllable Nanogap Fabrication on Microchip by Chronopotentiometry,” Electrochimica Acta, vol. 50, pp. 3041-3047, (2005). |
MacNaughton et al., “High-Throughput Heterogeneous Integration of Diverse Nanomaterials on a Single Chip for Sensing Applications,” PLOS One, vol. 9(10), e111377, 7 Pages, (2014). |
Mastrototaro et al., “Thin-Film Flexible Multielectrode Arrays for Voltage Measurements in the Heart,” IEEE Engineering in Medicine & Biology Society 11th Annual International Conference, 1 Page, (1989). |
Mastrototaro et al., “Rigid and Flexible Thin-Film Multielectrode Arrays for Transmural Cardiac Recording,” IEEE Transactions on Biomedical Engineering, vol. 39, pp. 217-279, (1992). |
Mirando-Castro et al., “Hairpin-DNA Probe for Enzyme-Amplified Electrochemical Detection of Legionella pnuemophila,” Anal. Chem., vol. 79, pp. 4050-4055, (Jun. 1, 2007). |
Nishida, et al. “Self-Oriented Immobilization of DNA Polymerase Tagged by Titanium-Binding Peptide Motif,” Langmuir, vol. 31, pp. 732-740 (Dec. 17, 2014). |
Niwa, O. et al., “Fabrication and Characteristics of Vertically Separated Interdigitated Array Electrodes,” Journal of Electroanalytical Chemistry and Interfacial Electrochemistry, vol. 267 pp. 291-297, (Aug. 10, 1989) (Abstract Only). |
Okinaka et al., ““Polymer” Inclusions in Cobalt-Hardened Electroplated Gold,” Journal the of Electrochemical Society, vol. 125, p. 1745, (1978). (Abstract Only). |
Park, S.J. et al., “Array-Based Electrical Detection of DNA with Nanoparticle Probes,” Science, vol. 295, pp. 1503-1506, (Feb. 22, 2002). |
Park, C.W. et al., “Fabrication of Poly-Si/ AU Nano-Gaps Using Atomic-Layer-Deposited AI2O3 as a Sacrificial Layer,” Nanotechnology, vol. 16, pp. 361-364, (Feb. 1, 2005) (Abstract Only). |
Parkin, I. P. et al., “Self-Cleaning Coatings,” Journal of Materials Chemistry, vol. 15(17), pp. 1689-1695, (Dec. 2004). |
Prins et al., “Room-Temperature Gating of Molecular Junctions Using Few-Layer Graphene Nanogap Electrodes,” Nano Letters, vol. 11, pp. 4607-4611, (Oct. 21, 2011). |
Pugliese et al., “Processive Inforporation of Deoxynucleoside Triphosphate Analogs by Single-Molecule DNA Polymerase I (Klenow Fragment) Nanocircuits,” Journal of the American Chemical Society, vol. 137, No. 30, pp. 9587-9594 (2015). |
Qing et al., “Finely Tuning Metallic Nanogap Size with Electrodeposition by Utilizing High-Frequency Impedance in Feedback,” Angewandte Chemie Int ed, vol. 44, pp. 7771-7775, (2005). |
Reed et al., “Conductance of a Molecular Junction Reports,” Science, vol. 278, pp. 252-254, (Oct. 1997). |
Reichert et al., “Driving Current Through Single Organic Molecules,” Physical Review Letters, vol. 88(17), pp. 176804-1-176804-4, (Apr. 2002). |
Roppert et al., “A New Approach for an Interdigitated Electrodes DNA-Sensor,” XVIIIth International Symposium on Bioelectrochemistry and Bioenergetics, Bioelectrochemistry, p. 143, (2005). |
Roy, S. et al., “Mass-Produced Nanogap Sensor Arrays for Ultra-Sensitive Detection of DNA,” Journal of the American Chemical Society, vol. 131, pp. 12211-12217, (Aug. 5, 2009) (Abstract Only). |
Ruttkowski, E. et al., “CMOS based Arrays of Nanogaps Devices for Molecular Devices,” Proceedings of 2005 5th IEEE Conference on Nanotechnology, vol. 1, pp. 438-441, (Jul. 2005) (Abstract Only). |
Sanguino et al., “Interdigitated Capacitive Immunosensors with PVDF Immobilization Layers,” IEEE Sensors Journal, vol. 14(4), pp. 1260-1265, (Apr. 2014). |
Santschi et al., “Interdigitated 50nm Ti Electrode Arrays Fabricated using XeF2 Enhanced Focused Ion Beam Etching,” Nanotechnology, vol. 17, pp. 2722-2729, (2006). |
Schaefer et al., “Stability and Dewetting Kinetics of Thin Gold Films on Ti, TiOx, and ZnO Adhesion Layers,” Acta Materialia, vol. 61, pp. 7841-7848, (2013). |
Schrott, W. et al., “Metal Electrodes in Plastic Microfluidic Systems,” Microelectronic Engineering, vol. 86, pp. 1340-1342, (Jun. 2009). |
Shimanovsky et al., “Hiding Data in DNA,” International Workshop on Information Hiding, Lecture Notes in Computer Science, pp. 373-386, (Dec. 18, 2012). |
Shimoda, T. et al., “Solution-Processed Silicon Films and Transistors,” Nature, vol. 440(7085), pp. 783-786, (Apr. 2006). |
Sholders et al., “Distinct Conformations of a Putative Translocation Element in Poliovirus Polymerase,” Journal of Molecular Biology, vol. 426(7), pp. 1407-1419, (Apr. 3, 2014). |
Singh et al., “3D Nanogap Interdigitated Electrode Array Biosensors,” Analytical and Bioanalytical Chemistry, vol. 397, pp. 1493-1502, (2010). |
Singh et al., “Evaluation of Nanomaterials-Biomolecule Hybrids for Signals Enhancement of Impedimetric Biosensors,” 11th IEEE International Conference on Nanotechnology, pp. 707-710, (2011). |
Singh et al., “Nanoparticle-Enhanced Sensitivity of a Nanogap-Interdigitated Electrode Array Impedimetric Biosensor,” Langmuir, vol. 27, pp. 13931-13939, (2011). |
Stagni, C. et al., “CMOS DNA Sensor Array with Integrated A/D Conversation Based on Label-Free Capacitance Measurement,” IEEE Journal of Solid-State Circuits, vol. 41, pp. 2956-2964, (Nov. 20, 2006). |
Stenning, “The Investigation of Grain Boundary Development and Crystal Synthesis of Thin Gold Films on Silicon Wafers,” http://www.ucl.ac.uk/˜ucapikr/projects, (Mar. 31, 2009). |
Su, Y., “Modeling and Characteristic Study of Thin Film Based Biosensor Based on COMSOL,” Mathematical Problems in Engineering, Article 581063 (6 Pages), (Apr. 7, 2014). |
Thompson, “Solid-State Dewetting of Thin Films,” Department of Materials Science and Engineering, vol. 42, pp. 399-434, (2012). |
Urban, M. et al., “A Paralleled Readout System for an Electrical DNA-Hybridization Assay Based on a Microstructured Electrode Array,” Review of Scientific Instruments, vol. 74, pp. 1077-1081, (Jan. 2003) (Abstract Only). |
Van Gerwin et al., “Nanoscaled Interdigitated Electrode Arrays for Biochemical Sensors,” Sensors and Actuators B, vol. 49, pp. 73-80, (1998). |
Van Megan et al., “Submicron Electrode Gaps Fabricated by Gold Electrodeposition at Interdigitated Electrodes,” Key Engineering Materials, vol. 605, pp. 107-110, (2014). |
Wang et al., “Electronics and Optoelectronics of Two-Dimensional Transition Metal Dichalcogenides,” Nature Nanotechnology, vol. 7, pp. 699-712, (Nov. 6, 2012). |
Xu et al., “Fabrication of Complex Metallic Nanostructures by Nanoskiving,” American Chemical Society Nano, vol. 1(3), pp. 215-227, (2007). |
Zafarani et al., “Electrochemical Redox Cycling in a New Nanogap Sensor: Design and Simulation,” Journal of Electroanalytical Chemistry, vol. 760, pp. 42-47, (2015). |
USPTO; Notice of Allowance dated May 11, 2020 in U.S. Appl. No. 16/073,706. |
USPTO; Notice of Allowance dated Jun. 1, 2020 in U.S. Appl. No. 16/076,673. |
USPTO; Non-Final Office Action dated Jun. 2, 2020 in U.S. Appl. No. 16/684,338. |
USPTO; Non-Final Office Action dated Jun. 15, 2020 in U.S. Appl. No. 16/878,484. |
USPTO; Non-Final Office Action dated Jun. 30, 2020 in U.S. Appl. No. 16/479,257. |
USPTO; Non-Final Office Action dated Jun. 30, 2020 in U.S. Appl. No. 16/477,106. |
EP; European Search Report dated Jun. 18, 2020 in Application No. 16815467.2. |
CN; Office Action dated Jun. 5, 2020 in Chinese Patent Application No. 2017800204782. |
EP; European Search Report dated Jun. 26, 2020 in Application No. 17874229.2. |
Li et al., “Graphene Channel Liquid Container Field Effect Transistor as pH Sensor,” Hindawi Publishing Corp., Journal of Nanomaterials 2014. |
USPTO; Notice of Allowance dated Nov. 24, 2020 in U.S. Appl. No. 16/477,106. |
USPTO; Notice of Allowance dated Dec. 7, 2020 in U.S. Appl. No. 16/878,484. |
USPTO; Final Office Action dated Dec. 14, 2020 in U.S. Appl. No. 16/684,338. |
USPTO; Final Office Action dated Jan. 6, 2021 in U.S. Appl. No. 16/070,133. |
USPTO; Final Office Action dated Jan. 11, 2021 in U.S. Appl. No. 16/479,257. |
USPTO; Non-Final Office Action dated Dec. 15, 2020 in U.S. Appl. No. 16/831,722. |
USPTO; Non-Final Office Action dated Dec. 30, 2020 in U.S. Appl. No. 16/652,672. |
EP; European Search Report dated Nov. 19, 2020 in Application No. 18739158.6. |
JP; Office Action dated Dec. 2, 2020 in Japanese Patent Application No. 2018-536737. |
EP; European Search Report dated Dec. 23, 2020 in Application No. 18790713.4. |
EP; European Search Report dated Dec. 14, 2020 in Application No. 18799263.1. |
Ali et al., “DNA hybridization detection using less than 10-nm gap silicon nanogap structure,” Sensors and Actuators A. vol. 199, pp. 304-309 (2013). |
Bornholt et al., “A DNA-Based Archival Storage System”, Architectural Support for Programming Languages and Operating Systems, pp. 637-649 (2016). |
Chen et al., “Silicon nanowire field-effect transistor-based biosensors for biomedical diagnosis and cellular recording investigation”, Nano Today, Elsevier, Amsterdam, NL, vol. 6, No. 2, pp. 131-154 (2011). |
Grass et al., “Robust Chemical Preservation of Digital Information on DNA in Silica with Error-Correcting Codes”, Angewandte Chemie International Edition, vol. 54, No. 8, pp. 2552-2555 (2015). |
Hatcher et al., “PNA versus DNA: Effects of Structural Fluctuations on Electronic Structure and Hole-Transport Mechanisms,” J. Amer. Chem. Soc., 130, pp. 11752-11761 (2008). |
Korlach et al., “Real-time DNA sequencing from single polymerase molecules,” 11, Methods in Enzymology, Academy Press, vol. 472, pp. 431-455 (2010). |
Paul et al., “Charge transfer through Single-Stranded Peptide Nucleic Acid Composed of Thymine Nucleotides,” J. Phy. Chem. C 2008, 112, pp. 7233-7240 (2008). |
Shin et al., “Distance Dependence of Electron Transfer Across Peptides with Different Secondary Structures: The Role of Peptide Energetics and Electronic Coupling,” J. Amer. Chem. Soc. 2003, 125, pp. 3722-3732 (2003). |
Venkatramani et al., “Nucleic Acid Charge Transfer: Black, White and Gray,” Coard Chem Rev., 255(7-8): pp. 635-648 (2011). |
USPTO; Non-Final Office Action dated Oct. 2, 2020 in U.S. Appl. No. 16/073,693. |
USPTO; Non-Final Office Action dated Nov. 9, 2020 in U.S. Appl. No. 16/731,749. |
PCT; International Search Report and Written Opinion dated Jun. 9, 2020 in Application No. PCT/US2020/13218. |
PCT; International Search Report and Written Opinion dated Aug. 6, 2020 in Application No. PCT/US2020/25068. |
PCT; International Search Report and Written Opinion dated Sep. 4, 2020 in Application No. PCT/US2020/28004. |
EP; European Search Report dated Sep. 30, 2020 in Application No. 17893481.6. |
JP; Office Action dated Aug. 13, 2020 in Japanese Application No. 2017-566864. |
CN; Office Action dated Aug. 14, 2020 in Chinese Patent Application No. 201680083636.4. |
Yang et al., “Two-Dimensional Graphene Nanoribbons,” J. Am. Chem. Soc. vol. 130, Issue 13 (2008). |
Number | Date | Country | |
---|---|---|---|
20200217813 A1 | Jul 2020 | US |
Number | Date | Country | |
---|---|---|---|
62551977 | Aug 2017 | US |