Peptide Linked Cell Matrix Materials for Stem Cells and Methods of Using the Same

Information

  • Patent Application
  • 20120276066
  • Publication Number
    20120276066
  • Date Filed
    June 12, 2012
    12 years ago
  • Date Published
    November 01, 2012
    12 years ago
Abstract
Biostructures that comprises modified alginates entrapping one or more stem cells are discloses. The modified alginates comprise at least one alginate chain section to which is bonded by covalent bonding at least one cell attachment peptide. Pluralities of stem cells are also disclosed. Methods of preventing death of stem cells and cells differentiated there from are disclosed. Methods of preparing a plurality of stem cells are disclosed. Methods of treating an individual who has a degenerative disease, such as a neurological disorder, or injury involving nerve damage by administering stem cells to said individual are disclosed.
Description
FIELD OF THE INVENTION

The present invention relates to stem cells, compositions comprising stem cells, methods of preparing stem cells and compositions comprising stem cells using cell adhesion peptides and methods of using stem cells and compositions comprising stem cells.


BACKGROUND OF THE INVENTION

Recognizing the micro-environmental property that affect cellular gene expression, phenotype and function is important for the better understanding of cells, as well as to provide better approaches to engineer artificial tissues for medical applications. In their normal environment mammalian cells are embedded within a complex and dynamic microenvironment consisting of the surrounding extracellular matrix, growth factors, and cytokines, as well as neighbouring cells. Cell adhesion to the extracellular matrix scaffolding involves physical connection to the extracellular matrix proteins through specific cell surface receptors. Of these, integrins are the major transmembrane receptors responsible for connecting the intracellular cytoskeleton to the extracellular matrix. The adhesive processes trigger a cascade of intracellular signalling events that may lead to changes in cellular behaviours, such as growth, migration, and differentiation. Since materials derived from natural extracellular matrix, such as collagen, provide natural adhesive ligands that promote cell attachment through integrins, they have been a starting point for engineering biomaterials for tissue engineering. However, a major drawback of collagen and other biological materials is that our ability to control their chemical and physical properties is limited. The discovery of short peptide sequences that initiate cellular adhesion, such as arginine-glycine-aspartic acid (RGD), however, has allowed development of polymers onto which these adhesive peptides can be conjugated.


One group of polymers that have very promising properties in this respect are alginates. Alginates are hydrophilic marine biopolymers with the unique ability to form heat-stable gels that can develop and set at physiologically relevant temperatures. Alginates are a family of non-branched binary copolymers of 1-4 glycosidically linked β-D-mannuronic acid (M) and α-L-guluronic acid (G) residues. The relative amount of the two uronic acid monomers and their sequential arrangement along the polymer chain vary widely, depending on the origin of the alginate. Alginate is the structural polymer in marine brown algae and is also produced by certain bacteria. It has been demonstrated that peptides like RGD may be covalently linked to alginate, and that gel structures made of alginate may support cell adhesion.


Another critical factor in tissue engineering is the source of cells to be utilized. It has been found that immature cells are able to multiply to a higher degree in vitro than fully differentiated cells of specialized tissues. In contrast to the in vitro multiplication of fully differentiated cells, such immature or progenitor cells can be induced to differentiate and function after several generations in vitro. They also appear to have the ability to differentiate into many of the specialized cells found within specific tissues as a function of the environment in which they are placed. Therefore, stem cells may be the cell of choice for tissue engineering.


Current technology allows cultivation of stem cells in vitro as monolayer cultures. However, in order to differentiate stem cells into a specific phenotype, there is a demand for biocompatible matrixes giving optimal conditions for cell function, proliferation and differentiation in a three dimensional environment.


SUMMARY OF THE INVENTION

The present invention relates to biostructures that comprises modified alginates entrapping one or more stem cells. The modified alginates comprise at least one alginate chain section to which is bonded by covalent bonding at least one cell attachment peptide.


The present invention also relates to pluralities of stem cells which have been isolated from such biostructures.


The present invention further relates to methods of inducing changes in gene expression by stem cells and cells differentiated there from within a three dimensional biostructure. The three dimensional biostructure comprises a modified alginate comprising at least one alginate chain section to which is bonded by covalent bonding at least one cell attachment peptide. The method comprises the step of entrapping stem cells and cells differentiated there from within the biostructure.


The present invention also relates to methods of preparing a plurality of stem cells. The methods comprise the steps of: obtaining one or more stem cells from a donor, maintaining stem cells obtained from a donor under conditions in which the stem cells grow and proliferate as a monolayer. The stem cells are then entrapped in a biostructure comprising a modified alginate that comprises at least one alginate chain section to which is bonded by covalent bonding at least one cell attachment peptide and then isolated from said biostructure.


The present invention additionally relates to a plurality of stem cells prepared by such methods.


The present invention also relates to methods of treating an individual who has a degenerative disease, such as a neurological disorder, or injury involving nerve damage by administering to said individual such stem cells. The method comprises the steps of culturing stem cells in a biostructure comprising a modified alginate that comprises at least one alginate chain section to which is bonded by covalent bonding at least one cell attachment peptide under conditions in which the stems cells proliferate and then administering the stem cells to an individual who has a neurological disorder or injury involving nerve damage in an amount effective and at a site effective to provide a therapeutic benefit to the individual.





BRIEF DESCRIPTION OF THE FIGURES


FIG. 1 shows data of the fraction of dead fat derived stem cells at different times after entrapment in alginate beads made of alginate with or without covalently linked RGD sequences. The fraction of dead cells were also recorded in alginate beads with a 10 fold increased cell density (closed symbols). Standard error of the mean are indicated when exceeding the symbols.



FIG. 2 shows data of the fraction of dead bone marrow derived stem cells at different times after entrapment in alginate beads made of alginate with or without covalently linked RGD sequences. The fraction of dead cells were also recorded in alginate beads with a 10 fold increased cell density (closed symbols). Standard error of the mean are indicated when exceeding the symbols.



FIG. 3 shows data from two parametric flow cytometric recordings of bone marrow stem cells stained with BrdU (FL1) and propidium iodide (FL2). The gated regions (R2) show the fraction of cells with sub G1 DNA-content (non-viable cells).



FIG. 4, panel A shows a photograph of stem cells taken immediately after prospective isolation form source material. Before attachment and spreading, the uncultured AT-MSC were small and round. FIG. 4, panel B shows a photograph of stem cells taken after in vitro culture in 2D in monolayer. The AT-MSC adopted a spindle-shaped morphology. FIG. 4, panel C top panel, left and right shows photographs of stem cells entrapped in regular alginate. The MSC regain a spherical morphology, but a number of cells are dead on day 7 (FIG. 4, panel C top, middle panel, same as left panel but with fluorescent light in stead of white light). FIG. 4, panel C bottom panel, right shows stem cells in RGD alginate. The cells can be seen to have extensions protruding from the cell body, and the proportion of dead cell day 7 is much lower (FIG. 4, panel C bottom, middle panel, fluorescent light). The proportion of dead cells in regular alginate was increasing throughout 21 days in 3D culture (FIG. 4, panel D, grey bars), while the proportion of dead cells in RGD alginate was low and quite stable throughout this culture period (FIG. 4, panel D, black bars). The total number of live and dead cells did not change in the course of culture in regular alginate (grey bars) or RGD alginate (black bars) for AT-MSV (FIG. 4, panel E, left panel) or BM-MSC (FIG. 4, panel E, right panel). Slightly different numbers of cells were seeded per bead for AT-MSC and BM-MSC.



FIG. 5 shows death of MSC in regular alginate is due by PCD. FIG. 5, panel A shows the results of a TUNEL assay performed on AT-MSC on day 7 of culture in regular alginate, showing the same cells in fluorescent light (top) and white light (bottom). The amount of PCD on day 7 was quantified by gating on the subG1 population in BrdU assays performed on cells in monolayer culture (FIG. 5, panel B, top), regular alginate (FIG. 5, panel B, middle) and RGD alginate (FIG. 5, panel B, bottom) for AT-MSC (FIG. 5, panel B, left) and BM-MSC (FIG. 5, panel B, right). The numbers are the percentage of cells in the subG 1 gate. Results from single experiments are representative for two experiments for each cell population. The proportion of live cells in S-phase of cell cycle was quantified by removing the subG1 population from the BrdU assays, and then gating on cells in S-phase (FIG. 5, panel C). The numbers are the percentage of live cells in S-phase. 3H thymidine incorporation assay (FIG. 5, panel D) for AT-MSC from five donors (top) and BM-MSC from three donors (bottom) comparing cells in monolayer cultures and cells cultured in regular alginate or RGD-alginate for 7 days. Freshly isolated T-cells were used as experimental controls for cells that were unlikely to incorporate 3H thymidine.



FIG. 6 shows flow cytometric analysis of the expression of integrin monomers on cells cultured in monolayer (top), regular alginate (middle) and RGD alginate (bottom panels).





DESCRIPTION OF EMBODIMENTS OF THE INVENTION

Cell attachment peptides covalently linked to alginates are supportive for stem cells and cells differentiated therefrom as cell matrix materials. Stem cells cultivated in alginate beads that have covalently linked cell attachment peptides undergo changes in gene expression profile compared to stem cells cultivated in beads made of alginates without covalently linked cell attachment peptides. In some experiments, cell attachment peptides covalently linked to alginates have been observed to be aid in maintaining cell survival.


Gene expression changes when stem cells obtained from source material are cultivated as a monolayer. Further, when stem cells cultivated as a monolayer are removed from the monolayer and cultured in alginate beads that have covalently linked cell attachment peptides, the gene expression profile changes further. Stem cells passaged through monolayers and cultured in alginate beads that have covalently linked cell attachment peptides have different expression profiles from the expression profile of the uncultured stem cells obtained from source material. Without being bound by any theory, it is believed that as the alginates having cell attachment peptides covalently linked thereto support stem cell adhesion, promote changes in gene expression, and may prevent cells from undergoing apoptosis (or other forms of cell death). Such alginate having cell attachment peptides covalently linked thereto may thus be used in different biostructures as a way to promote changes in gene expression and in some instances maintain stem cell survival. Such alginate biostructures include alginate gels, but may also include foam or fibre structures and others.


The discovery that the alginates of the invention change expression profiles of stem cells may be used in tissue engineering applications as well as in the culturing of stem cells to expand and maintain populations of cells for use in various methods including subsequent administration into an individual.


One aspect of the present invention is directed to a method for passaging stem cell within a three dimensional biostructure comprising cell adhesion peptide-coupled alginates, e.g., RGD peptides covalently linked to alginate and biostructures made therefrom comprising viable stem cells in a gel. Suitable biostructures of the invention include foam, film, gels, beads, sponges, felt, fibers and combinations thereof.


One property of alginate gel structures containing cells or other constituents is that the entrapped material may be released after dissolving the gel. Alginate having cell attachment peptides covalently linked thereto gels may be dissolved thereby releasing the entrapped stem cells. This may be performed by using cation binding agents like citrates, lactates or phosphates. This holds a very useful property as the stem cells (and cells differentiated there from) may be removed from the gel structures and their properties may be tested in relation to a specific application. The cells may then be tested for the expression of specific genes, surface expression or others. Also the released stem cells (and cells differentiated there from) may be further cultivated as a monolayer culture or used in a three dimensional structure like an alginate gel or other for use as a tissue construct, as a cell encapsulation system or others.


Another aspect of the invention provides that stem cells may be obtained from sources, cultured as monolayers to promote cell proliferation and to obtain expanded numbers, then entrapped and maintained in biostructures comprising cell adhesion peptide-coupled alginates after which the cells are isolated from the biostructures and a population of stem cells is obtained with a gene expression pattern that is different from the monolayer expanded population. Such difference in gene expression pattern makes the population of stem cells particularly useful for administration to individuals and the treatment of diseases such as degenerative diseases.


When cells cultured as monolayers are entrapped within biostructures comprising cell adhesion peptide-coupled alginates, the cells change in morphology and gene expression. The cells become generally spherical and among the changes in gene expression, expression of genes encoding integrins changes. Cells are maintained as entrapped in biostructures for a time sufficient for gene expression to change from the expression profile exhibited by cells cultured as a monolayer to the stable gene expression profile exhibited by cells maintained in biostructure. In some embodiments, cells are maintained as entrapped in biostructures for at least 3 hours prior to removal of biostructure. In some embodiments, cells are maintained as entrapped in biostructures for less than 6 hours prior to removal of biostructure. In some embodiments, cells are maintained as entrapped in biostructures for at least 6 hours prior to removal of biostructure. In some embodiments, cells are maintained as entrapped in biostructures for less than 9 hours prior to removal of biostructure. In some embodiments, cells are maintained as entrapped in biostructures for at least 9 hours prior to removal of biostructure. In some embodiments, cells are maintained as entrapped in biostructures for less than 12 hours prior to removal of biostructure. In some embodiments, cells are maintained as entrapped in biostructures for at least 12 hours prior to removal of biostructure. In some embodiments, cells are maintained as entrapped in biostructures for less than 18 hours prior to removal of biostructure. In some embodiments, cells are maintained as entrapped in biostructures for at least 18 hours prior to removal of biostructure. In some embodiments, cells are maintained as entrapped in biostructures for less than 24 hours prior to removal of biostructure. In some embodiments, cells are maintained as entrapped in biostructures for at least 24 hours prior to removal of biostructure. In some embodiments, cells are maintained as entrapped in biostructures for less than 36 hours prior to removal of biostructure. In some embodiments, cells are maintained as entrapped in biostructures for at least 36 hours prior to removal of biostructure. In some embodiments, cells are maintained as entrapped in biostructures for less than 48 hours prior to removal of biostructure. In some embodiments, cells are maintained as entrapped in biostructures for at least 48 hours prior to removal of biostructure. In some embodiments, cells are maintained as entrapped in biostructures for less than 72 hours prior to removal of biostructure. In some embodiments, cells are maintained as entrapped in biostructures for at least 72 hours prior to removal of biostructure. In some embodiments, cells are maintained as entrapped in biostructures for at least 4 days prior to removal of biostructure. In some embodiments, cells are maintained as entrapped in biostructures for at least 5 days hours prior to removal of biostructure. In some embodiments, cells are maintained as entrapped in biostructures for at least 6 days prior to removal of biostructure. In some embodiments, cells are maintained as entrapped in biostructures for at least 1 week prior to removal of biostructure. In some embodiments, cells are maintained as entrapped in biostructures for up to 2 weeks prior to removal of biostructure. In some embodiments, cells are maintained as entrapped in biostructures for up to 3 weeks prior to removal of biostructure. In some embodiments, cells are maintained as entrapped in biostructures for up to 4 weeks prior to removal of biostructure.


Another aspect of the invention provides that stem cells may be obtained from sources and entrapped and cultured in biostructures comprising cell adhesion peptide-coupled alginates after which the cells are isolated from the biostructures and a population of stem cells is obtained with a gene expression pattern that is different from the monolayer expanded population. In such embodiment, the stems cells chosen are preferably those which are capable of proliferation under such conditions such as stem cells derived from adipose tissue. Such stem cells may be useful for administration to individuals and the treatment of diseases such as degenerative diseases.


According to some embodiments, stem cells are cultured in alginate matrices made from alginate polymers that comprise alginate polymers covalently linked to cell attachment peptides such as but not limited to those having the RGD motif. Such stem cells cultured in such matrices may be useful in the treatment of neurological disorders, such as for example Parkinson disease, HD (Huntington's disease), stroke, mucopolysaccharidosis and MS (Multiple Sclerosis), and in the treatment of injuries involving nerve damage such as spinal injuries. Such stem cells may be implanted into the patient such as in the brain, spinal column or other appropriate site where they can impart a therapeutic effect.


The stem cells of the invention may be delivered to the patient by any mode of delivery such as implantation at the site where therapeutic effect is desirable, or systemically. Modes of administration include direct injection or implantation. The stem cells of the invention may be delivered as part of a composition or device or as encapsulated or unencapsulated cells. In some embodiments, the stem cells are delivered intravenously, intrathecally, subcutaneously, directly into tissue of an organ, directly into spaces and cavities such as synovial cavities and spinal columns or nerve pathways. The intravenous administration of the stem cells of the invention may be less likely to result in accumulation of stem cells in the lung, a pattern which is observed when stem cells are administered intravenously directly after culturing as a monolayer.


The stem cells of the present invention may be useful in the treatment of degenerative disease, i.e a disease in which the function or structure of the affected tissues or organs progressively deteriorates over time. Examples of degenerative diseases include: Alzheimer's Disease; Amyotrophic Lateral Sclerosis (ALS), i.e., Lou Gehrig's Disease; Atherosclerosis; Cancer; Diabetes, Heart Disease; Huntington's disease (HD); Inflammatory Bowel Disease (IBD); mucopolysaccharidosis; Multiple Sclerosis (MS); Norrie disease; Parkinson's Disease; Prostatitis; Osteoarthritis; Osteoporosis; Shy-Drager syndrome; and Stroke.


Any stem cells may be used. In some embodiments, stem cells may be mesenchymal stem cells such as those derived from fat or bone marrow. In some embodiments, the stem cells are autologous. That is, they are derived from the individual into whom they and their progeny will be implanted.


U.S. Pat. Nos. 4,988,621, 4,792,525, 5,965,997, 4,879,237, 4,789,734 and 6,642,363, which are incorporated herein by reference, disclose numerous examples. Suitable peptides include, but are not limited to, peptides having about 10 amino acids or less. In some embodiments, cell attachment peptides comprise RGD, YIGSR (SEQ ID NO:1), IKVAV (SEQ ID NO:2), REDV (SEQ ID NO:3), DGEA (SEQ ID NO:4), VGVAPG (SEQ ID NO:5), GRGDS (SEQ ID NO:6), LDV, RGDV (SEQ ID NO:7), PDSGR (SEQ ID NO:8), RYVVLPR (SEQ ID NO:9), LGTIPG (SEQ ID NO:10), LAG, RGDS (SEQ ID NO:11), RGDF (SEQ ID NO:12), HHLGGALQAGDV (SEQ ID NO:13), VTCG (SEQ ID NO:14), SDGD (SEQ ID NO:15), GREDVY (SEQ ID NO:16), GRGDY (SEQ ID NO:17), GRGDSP (SEQ ID NO:18), VAPG (SEQ ID NO:19), GGGGRGDSP (SEQ ID NO:20) and GGGGRGDY (SEQ ID NO:21) and FTLCFD (SEQ ID NO:22). In some embodiments, cell attachment peptides comprise RGD, YIGSR (SEQ ID NO:1), IKVAV (SEQ ID NO:2), REDV (SEQ ID NO:3), DGEA (SEQ ID NO:4), VGVAPG (SEQ ID NO:5), GRGDS (SEQ ID NO:6), LDV, RGDV (SEQ ID NO:7), PDSGR (SEQ ID NO:8), RYVVLPR (SEQ ID NO:9), LGTIPG (SEQ ID NO:10), LAG, RGDS (SEQ ID NO:11), RGDF (SEQ ID NO:12), HHLGGALQAGDV (SEQ ID NO:13), VTCG (SEQ ID NO:14), SDGD (SEQ ID NO:15), GREDVY (SEQ ID NO:16), GRGDY (SEQ ID NO:17), GRGDSP (SEQ ID NO:18), VAPG (SEQ ID NO:19), GGGGRGDSP (SEQ ID NO:20) and GGGGRGDY (SEQ ID NO:21) and FTLCFD (SEQ ID NO:22) and further comprise additional amino acids, such as for example, 1-10 additional amino acids, including but not limited 1-10 G residues at the N or C terminal For example, a suitable peptide may have the formula (Xaa)n-SEQ-(Xaa)n wherein Xaa are each independently any amino acid, n=0-7 and SEQ=a peptide sequence selected from the group consisting of: RGD, YIGSR (SEQ ID NO:1), IKVAV (SEQ ID NO:2), REDV (SEQ ID NO:3), DGEA (SEQ ID NO:4), VGVAPG (SEQ ID NO:5), GRGDS (SEQ ID NO:6), LDV, RGDV (SEQ ID NO:7), PDSGR (SEQ ID NO:8), RYVVLPR (SEQ ID NO:9), LGTIPG (SEQ ID NO:10), LAG, RGDS (SEQ ID NO:11), RGDF (SEQ ID NO:12), HHLGGALQAGDV (SEQ ID NO:13), VTCG (SEQ ID NO:14), SDGD (SEQ ID NO:15), GREDVY (SEQ ID NO:16), GRGDY (SEQ ID NO:17), GRGDSP (SEQ ID NO:18), VAPG (SEQ ID NO:19), GGGGRGDSP (SEQ ID NO:20) and GGGGRGDY (SEQ ID NO:21) and FTLCFD (SEQ ID NO:22, and the total number of amino acids is less than 22, preferably less that 20, preferably less that 18, preferably less that 16, preferably less that 14, preferably less that 12, preferably less that 10. Cell attachment peptides comprising the RGD motif may be in some embodiments, 3, 4, 5, 6, 7, 8, 9 or 10 amino acids in length. Examples include, but are not limited to, RGD, GRGDS (SEQ ID NO:6), RGDV (SEQ ID NO:7), RGDS (SEQ ID NO:11), RGDF (SEQ ID NO:12), GRGDY (SEQ ID NO:17), GRGDSP (SEQ ID NO:18), GGGGRGDSP (SEQ ID NO:20) and GGGGRGDY (SEQ ID NO:21). In some embodiments, cell attachment peptides consist of RGD, YIGSR (SEQ ID NO:1), IKVAV (SEQ ID NO:2), REDV (SEQ ID NO:3), DGEA (SEQ ID NO:4), VGVAPG (SEQ ID NO:5), GRGDS (SEQ ID NO:6), LDV, RGDV (SEQ ID NO:7), PDSGR (SEQ ID NO:8), RYVVLPR (SEQ ID NO:9), LGTIPG (SEQ ID NO:10), LAG, RGDS (SEQ ID NO:11), RGDF (SEQ ID NO:12), HHLGGALQAGDV (SEQ ID NO:13), VTCG (SEQ ID NO:14), SDGD (SEQ ID NO:15), GREDVY (SEQ ID NO:16), GRGDY (SEQ ID NO:17), GRGDSP (SEQ ID NO:18), VAPG (SEQ ID NO:19), GGGGRGDSP (SEQ ID NO:20) and GGGGRGDY (SEQ ID NO:21) and FTLCFD (SEQ ID NO:22). In some embodiments in which the cell attachment peptide consists of GRGDY (SEQ ID NO:17), biostructures include less than 2×106 cells/mL or greater than 2×107 cells/mL when produced. In some embodiments in which the cell attachment peptide consists of GRGDY (SEQ ID NO:17), biostructures includes between 2×106 cells/mL and 2×107 cells/mL when produced provided that, in addition to modified alginate comprising an alginate chain section having a cell attachment peptide consisting of GRGDY (SEQ ID NO:17), the modified alginate also comprises the same and/or a different alginate chain section having a cell attachment peptide other than GRGDY (SEQ ID NO:17.


U.S. Pat. No. 6,642,363, which is incorporated herein by reference, discloses covalently linking cell attachment peptides to alginate polymers.


In some embodiments, the purified alginate which comprises covalently linked cell attachment peptides is purified to remove endotoxin. In some embodiments, the purified alginate which comprises covalently linked cell attachment peptides comprises <500 EU/g endotoxin. In some embodiments, the purified alginate which comprises covalently linked cell attachment peptides comprises <250 EU/g endotoxin. In some embodiments, the purified alginate which comprises covalently linked cell attachment peptides comprises <200 EU/g endotoxin. In some embodiments, the purified alginate which comprises covalently linked cell attachment peptides comprises <100 EU/g endotoxin. In some embodiments, the purified alginate which comprises covalently linked cell attachment peptides comprises <50 EU/g endotoxin. In some embodiments in which the cell attachment peptide consists of GRGDY (SEQ ID NO:17), the purified alginate which comprises covalently linked cell attachment peptides comprises <50 EU/g endotoxin. In some embodiments in which the cell attachment peptide consists of GRGDY (SEQ ID NO:17), the purified alginate which comprises covalently linked cell attachment peptides comprises <50 EU/g endotoxin provided that, in addition to the purified alginate having a cell attachment peptide consisting of GRGDY (SEQ ID NO:17), the purified alginate which also comprises the same and/or a different alginate chain section having a cell attachment peptide other than GRGDY (SEQ ID NO:17).


In some embodiments, cells are encapsulated within alginate matrices. The matrices are generally spheroid. In some embodiments, the matrices are irregular shaped. Generally, the alginate matrix must be large enough to accommodate an effective number of cells while being small enough such that the surface area of the exterior surface of the matrix is large enough relative to the volume within the matrix. As used herein, the size of the alginate matrix is generally presented for those matrices that are essentially spheroid and the size is expressed as the largest cross section measurement. In the case of a spherical matrix, such a cross-sectional measurement would be the diameter. In some embodiments, the alginate matrix is spheroid and its size is between about 20 and about 1000 μm. In some embodiments, the size of the alginate matrix is less than 100 μm, e.g. between 20 to 100 μm; in some embodiments, the size of the alginate matrix is greater than 800 μm, e.g. between 800-1000 μm. In some embodiments, the size of the alginate matrix is about 100 μm, in some embodiments, the size of the alginate matrix is about 200 μm, in some embodiments, the size of the alginate matrix is about 300 μm; in some embodiments, the size of the alginate matrix is about 400 μm, in some embodiments, the size of the alginate matrix is about 500 μm; in some embodiments, the size of the alginate matrix is about 600 μm; and in some embodiments about 700 μm.


In some embodiments, the alginate matrix comprises a gelling ion selected from the group Calcium, Barium, Zinc and Copper and combinations thereof. In some embodiments, the alginate polymers of the alginate matrix contain more than 50% α-L-guluronic acid. In some embodiments, the alginate polymers of the alginate matrix contain more than 60% α-L-guluronic acid. In some embodiments, the alginate polymers of the alginate matrix contain 60% to 80% α-L-guluronic acid. In some embodiments, the alginate polymers of the alginate matrix contain 65% to 75% α-L-guluronic acid. In some embodiments, the alginate polymers of the alginate matrix contain more than 70% α-L-guluronic acid. In some embodiments, the alginate polymers of the alginate matrix have an average molecule weight of from 20 to 500 kD. In some embodiments, the alginate polymers of the alginate matrix have an average molecule weight of from 50 to 500 kD. In some embodiments, the alginate polymers of the alginate matrix have an average molecule weight of from 100 to 500 kD.


Cells may be encapsulated over a wide range of concentrations. In some embodiments, cells are entrapped at a concentration of between less than 1×104 cells/ml of alginate to greater than 1×108 cells/ml of alginate. In some embodiments, cells are entrapped at a concentration of between 1×104 cells/ml of alginate and 1×108 cells/ml of alginate. In some embodiments, cells are entrapped at a concentration of between 1×105 cells/ml of alginate and 5×107 cells/ml of alginate. In some embodiments, cells are entrapped at a concentration of between 1×106 cells/ml of alginate and 5×107 cells/ml of alginate. In some embodiments, cells are entrapped at a concentration of between 5×105 cells/ml of alginate and 5×107 cells/ml of alginate. In some embodiments, cells are entrapped at a concentration of between 2×106 cells/ml of alginate and 2×107 cells/ml of alginate. In some embodiments, cells are entrapped at a concentration of between 5×105 cells/ml of alginate and 1×107 cells/ml of alginate. In some embodiments, cells are entrapped at a concentration of between 5×105 cells/ml of alginate and 5×106 cells/ml of alginate. In some embodiments, cells are entrapped at a concentration of about 2×106 cells/ml.


Isolated stem cells may be cultured in alginate-peptide matrices under conditions which support cell proliferation. Using the alginate-peptide matrices as a multi-dimensional substrate, cell populations may be expanded efficiently with a high degree of cell viability.


Populations of stems cells may be subsequently used in the treatment of neurological disorders, such as for example Parkinson disease, HD (Huntington's disease), stroke, mucopolysaccharidosis and MS (Multiple Sclerosis) and in the treatment of injuries involving nerve damage such as spinal injuries. Such stem cells may be isolated from the alginate matrix and implanted into the patient or the stem cells within the matrices may be implanted. Implantation may be made at an appropriate site where they can impart a therapeutic effect as in the brain or spinal column or other site of nerve damage.


In some embodiments, stem cell populations have gene expression characteristics as shown in Table 1. In some embodiments, stem cell populations have gene expression characteristics as shown in Table 2. In some embodiments, stem cell populations have gene expression characteristics as shown in Table 3. In some embodiments, stem cell populations have gene expression characteristics as shown in Supplemental Table 1. In some embodiments, stem cell populations have gene expression characteristics as shown in Supplemental Table 2. In some embodiments, stem cell populations have gene expression characteristics as shown in Supplemental Table 3. In some embodiments, stem cell populations have gene expression characteristics as shown in Supplemental Table 4.


EXAMPLES
Example 1
Entrapment of Human Mesenchymal Stem Cells in Alginate Beads with RGD Peptides

Human mesenchymal stem cells from fat (FIG. 1) and bone marrow (FIG. 2) were isolated from human donors and entrapped in alginate beads. The cells were mixed in solutions of 2% alginate with a high G content (˜70%, PRONOVA LVG) and beads around 400 μm were generated by using a Nisco VAR V1 electrostatic bead generator with a solution of 50 mM CaCl2 as gelling bath. One of the alginate batches contained RGD peptides covalently linked to the polymer. The cell density was adjusted to be around 80-100 cells/bead in one experiment, and 10-fold higher in another. After gelling, the beads containing the stem cells were stored in tissue culture flasks with cell culture medium in a CO2 incubator. The fraction of viable and dead cells was at different times calculated by counting cells in a few beads stained with a live dead assay (Molecular Probes, L3224) by using a fluorescence microscope. For both stem cell types it was observed that the total number of cells changed very little throughout the experiment (21 days). However, for both cell types (FIGS. 1 and 2) the number of surviving cells decreased very rapidly for cells entrapped in non RGD-alginate beads. The data thus surprisingly demonstrates that the RGD-alginate cell binding, in addition to the support for cell attachment, is critical in preventing cell death within the alginate gel matrix. The effect of cell to cell interaction on cell survival was also studied in the experiments by increasing the cell concentration 10 fold. As can be seen from the data in FIGS. 1 and 2 there is only a very small or no effect on cell death with time in the LVG alginate beads when increasing the cell concentration. For both cell types the alginate bead cellular density did not have any significant effect on the ability to prevent cell death by the RGD-alginate.


To the extent that the RGD-alginate matrix may improve cell survival, such a property may be an additional property that makes it useful in new biomedical applications with alginate, in particular within tissue engineering, for cell encapsulation and for cultivation of stem cells.


Example 2
Demonstration of Inhibited Apoptosis for Bone Marrow Derived Stem Cells Entrapped in RGD-Alginate

Human mesenchymal stem cells from bone marrow were isolated from human donors and grown as a monolayer culture or entrapped in alginate beads using LVG-alginate or RGD-alginate. Entrapment of cells in the alginate was performed as described in Example 1. The alginate cell populations were prepared as single cell suspensions by degelling. BrdU (to a final concentration of 10 μM) is added to the cell culture 1½ h before harvesting by centrifugation at 300×g for 10 minutes at 4° C. The pellet is resuspended in 100 μl ice-cold PBS, and the cells are fixed by adding 70% ethanol (4 ml). The tubes are inverted several times and then stored overnight (at least 18 hours) at −20° C. The cells are then collected by centrifugation, and the pellet is resuspended in pepsin-HCl solution (1 ml). After exactly 30 minutes incubation, the acid is neutralized by adding 0.1 M sodium tetraborate, pH 8.5 (3 ml). The cells are pelleted, washed once with IFA (2-3 ml) and then incubated with IFA-T (2-3 ml) for 5 minutes at room temperature. The cells are again pelleted, resuspended in BrdU-antibody solution (100 n1) and then incubated for at least 30 minutes in a dark place. IFA-T (2-3 ml) is added to the cell suspension, and the cells are then pelleted before they are resuspended in RNase/PI solution (500 μl). After 10 minutes incubation, the cell suspension is transferred to a Polystyrene Round-Bottom Tube (5 ml). The cells are analyzed in the flow cytometer.


In FIG. 3 two parametric recordings are shown for cells after 6 days. In contrast to cells grown as monolayers the number of actively proliferating cells (BrdU positive cells) is shown to be very low for the alginate entrapped cell cultures. Also for these cells there was an increased fraction of dead cells with a sub G1 DNA content (R2-gates in FIG. 3) indicating apoptotic activity in the alginate populations. The fraction of sub G1 cells was, however, reduced by approximately 50% in the RGD alginate as compared to non RGD-alginate sample (FIG. 3). The data thus clearly indicated that DNA degradation was more inhibited for cells grown in the RGD alginate environment versus non-RGD alginate. The observation that apoptotic cell death seemed to be inhibited by using RGD in the alginate matrix was also further supported by independent data using a TUNEL assay. Our experiments thus clearly indicated that cell attachment, as supported by the RGD bound alginate, prevented apoptotic activity in the stem cell populations.


Example 3
Materials and Methods
Isolation of AT-MSC

AT was obtained by liposuction from healthy donors aged 18-39. The donors provided written informed consent, and the collection and storage of adipose tissue (AT) and AT-MSC was approved by the regional committee for ethics in medical research in Norway. The stromal vascular fraction (SVF) was separated from AT as described previously {Boquest, 2005 2900/id}. Briefly, lipoaspirate (300-1000 ml) was washed repeatedly with Hanks' balanced salt solution (HBSS) without phenol red (Life Technologies-BRL, Paisley, UK) containing 100 IU/ml penicillin and 100 IU/ml streptomycin (Sigma Aldrich, St. Louis, USA) and 2.5 mg/ml amphotericin B (Sigma). Washed AT was digested for 45 min on a shaker at 37° C. using 0.1% collagenase A type 1 (Sigma) After centrifugation at 400 g for 10 min, floating adipocytes were removed. The remaining SVF cells were resuspended in HBSS containing 2% fetal bovine serum (FBS). Tissue clumps were allowed to settle for 1 min. Suspended cells were filtered through 100 μm and then 40 μm cell sieves (Becton Dickinson, San Jose, Calif.). Cell suspensions (15 ml) were layered onto 15 ml Lymphoprep gradient separation medium (Axis Shield, Oslo, Norway) in 50-ml tubes. After centrifugation (400 g, 30 min), cells at the gradient interface were collected, washed and resuspended in regular medium containing 10% FBS and antibiotics. Cell counts and viability assessment were performed using acridine orange/ethidium bromide staining and a fluorescence microscope.


Immediately after separation, AT-MSC were isolated from the remaining cells using magnetic cell sorting. Endothelial cells (CD31+) and leukocytes (CD45+) were removed using magnetic beads directly coupled to mouse anti-human CD31 and CD45 monoclonal antibodies (MAb) (Miltenyi Biotech, Bergish Gladbach, Germany) and LS columns. For verification, we measured by flow cytometry and observed that no more than 5% of CD31+ and CD45+ cells were left in the suspension. Cells were washed and resuspended in Dulbecco's modified Eagle's medium (DMEM)/F12 (Gibco, Paisley, U.K.) containing 20% FBS and antibiotics.


Isolation of BM-MSC

Bone Marrow (BM) (100 ml) was obtained from the iliac crest of healthy voluntary donors after written informed consent. The collection and storage of BM and BM-MSC was approved by the regional committee for ethics in medical research. The aspirate was diluted 1:3 with medium. Cell suspensions (15 ml) were applied to 15 ml Lymphoprep gradients in 50-ml tubes. After density-gradient centrifugation at 800 g for 20 minutes, the mononuclear cell layer was removed from the interface, washed twice, and suspended in DMEM/F12 at 107 cells per ml. To reduce the occurrence of other adherent cells, monocytes were removed using magnetic beads coupled to mouse anti-human CD14 MAb according to the manufacturer's recommendations (Miltenyi). The CD14 cells were washed and allowed to adhere overnight at 37° C. with 5% humidified CO2 in culture flasks (Nunc, Roskilde, Denmark) in DMEM/F12 medium with 20% EBS and antibiotics.


Culturing of BM-MSC and A T-MSC

On day 1 of BM-MSC cultures the medium with nonadherent cells was discarded, the cultures were carefully washed in DPBS (Gibco), and culture medium was replaced with a fresh portion. When the cells reached 50% confluence, plastic adherence was interrupted with trypsin-EDTA (Sigma), and the cells were inoculated into new flasks at 5,000 cells per cm2. After the first passage, amphotericin B was removed and 10% FBS was used in stead of 20% for the duration of the cultures. Viable cells were counted at each passage. The medium was replaced every 2-3 days.


Preparation and Use of Alginate Gels

Low viscosity, high guluronic acid sodium alginate (Pronova LVG, MW 134 kDa, here termed regular alginate), and custom made GRGDSP alginate (Novatech RGD, peptide/alginate molecular ratio of approximately 10/1) made from high guluronic acid alginate (Pronova UP MVG, MW 291 kDa) was obtained from NovaMatrix/FMC Biopolymer (Oslo, Norway). The guluronic-mannuronic acid ratio in all cases was ˜70:30 ratio. A 2% alginate solution was prepared by dissolving the alginate powder in a 250 mM mannitol solution and was stirred overnight at room temperature before the solution was filtered through a 0.22 μM filter.


Prior to encapsulation in alginate, monolayer AT-MSC and BM-MSC at 50% confluence were trypsinized and suspended in 500 μl medium. The cells were mixed into the appropriate alginate solution at 0.5, 2.0 or 5.0×106 cells/ml. The cell/alginate suspension was gelled as beads using an electrostatic bead generator (disco VAR V1, Zurich, Switzerland). Beads were generated at 6 kV/cm and 10 ml/hr using a 0.5 mm (outer diameter) nozzle, and crosslinked in a 50 mM CaCl2 solution. After storing the beads in the gelling solution for approx 20 minutes they were washed with medium several times and kept in culture flasks using DMEM/F12 medium containing 10% FBS and antibiotics. The beads with MSC were maintained in culture for 21 days and medium was changed every third day. The beads were soaked in sterile-filtered 50 mM CaCl2 every seventh day. For being able to perform different analyses different time points the cells were released from the alginate beads by washing with a 100 mM EDTA-DPBS solution for five minutes and centrifuged at 1500 rpm for 15 min. Finally the cells were resuspended in DPBS (Gibco) and analyzed in different assays.


Viability Assay

Live/Dead viability assay (Invitrogen Molecular Probes, Eugene, Oreg., USA) was performed on the alginated cells. Briefly, beads were allowed to settle and were washed with DPBS. Cells were incubated with 8 μl of Component B (2 mM Ethidium bromide stock solution) and 2 μl of Component A (4 mM of Calcein AM stock solution) in 2 ml of 4.6% sterile no mannitol solution, at room temperature for 45 min in the dark. Cells were examined and counted under a fluorescence microscope, altering the focal distance to allow assessment of all the cells in the beads. For each assay 15-20 beads were included in the evaluation. This assay was performed on day 0, 1, 3, 7, 14 and 21 following encapsulation in alginate.


Apoptosis Assay

TUNEL assay to check for apoptosis was performed on cells that had been cultured in unmodified and RGD alginate for 7 days using an In Situ Cell Death Detection Kit (Roche Diagnostics Ltd, Burgess Hill, UK). Briefly, the alginate beads were degelled as described above, leaving the cells in single cell suspension. The cells were fixed with 4% (w/v) paraformaldehyde and incubated on ice for 15 min. Fixed cells were washed with DPBS, resuspended in 200 μl of 0.1% saponin and incubated for 15 minutes to permeabilise the cells (ice). After washing, the resuspended cells were incubated with 50 μl TUNEL reaction mixture for 1 hour at 37° C. in the dark (ice). The cells were then washed, resuspended in 200 μl of PBS and examined in a fluorescence microscope.


BrdU Assay

The incorporation of BrdU in monolayer cells and cells in beads were analyzed at day 7. 3×105 cells in monolayer and within alginate beads, respectively, were pulsed with 10 μM of BrdU for two hrs. Then monolayer cells were trypsinized, while encapsulated cells were degelled with CaCl2 and washed with DPBS. The cells were fixed in 70% ethanol and stored at −20° C. After 24 hrs cells were collected by centrifugation at 400 g for 5 min, and then resuspended in pepsin-HCl solution for 1 hr followed by neutralization by 0.1 M sodium tetraborate, pH 8.5 (3 ml). The cells were washed once with immunofluorescence assay buffer (IFA) (2-3 ml) and then incubated with IFA containing Tween 20 (2-3 ml) for 5 minutes at room temperature before staining with a FITC-conjugated anti-BrdU MAb (BD Biosciences) and propidium iodide. Cells were analyzed using a FACSCalibur flowcytometer (BD Biosciences).


Isolation of Resting CD8+ T Cells

Resting CD8+ T cells were used as control population which does not proliferate in 3H thymidine incorporation assays. The cells were isolated from peripheral blood mononuclear cells using negative isolation with a Pan T Isolation Kit, CD4 MACS beads, LS columns and a SuperMACS magnet as described by the producer (Miltenyi Biotech)


Thymidine Incorporation Assay

The uptake of 3H thymidine, a measure of DNA synthesis, was examined on day 7 in 5 different donors for AT-MSC and 3 donors for BM-MSC. Trypsinized monolayer cells and MSC in beads were seeded at 15.000 cells per well in 96 flat bottom well plates, pulsed with 1 μCi 3H thymidine in 200 μl of DMEM/F12 medium containing 10% FBS and antibiotics in each well and incubated at 37° C. in 5% CO2 for 24 hrs. The amount of 3H thymidine that had been incorporated into the DNA cells was measured using a TopCount NXT Scintillation counter (Packard, Meriden, Conn.).


Cell Surface Markers Analysis

Monolayer and degelled MSC from beads were analyzed at day 7 for cell surface markers by flowcytometry. Cells were stained with unconjugated MAbs directed against the following proteins: CD49e, CD 29, CD49c, CD61, CD51, CD41 (kind gift from Dr. F. L. Johansen). For immunolabeling, cells were incubated with primary MAbs for 15 min on ice, washed, and incubated with PE-conjugated goat anti-mouse antibodies (Southern Biotechnology Association, Birmingham, Ala.) for 15 min on ice. After washing, cells were analyzed by flowcytometry (FACSCalibur)


Results
MSC Die in Cultures of Regular Alginate

Immediately Upon Isolation From Adipose Tissue, At-Msc Have a Small, regular, rounded shape (FIG. 4A). Following attachment, spreading and proliferation on plastic surfaces, they acquired a long, spindle-like shape (FIG. 4B). To determine if, when the attachment to the underlying plastic surface was disrupted, the cells would get their previous shape, cells were entrapped in alginate, which consists of long chains of α-L-guluronic acid and β-D-mannuronic acid, and which provides an inert scaffold around the cells. The result is visualized in FIG. 4C, upper panel. MSC cultured in this 3D system were found to be small and round. We also observed that MSC cultured in regular alginate showed a high proportion of dead cells after some time in culture. Those were seen as red cells in the LIVE/DEAD assay (FIG. 4C, upper middle image). The proportion of live and dead cells in cultures in regular alginate was quantified and is shown in FIG. 4D, grey bars. After three weeks in culture, the vast majority of cells had died. These cells remained in the alginate as countable cells, since the variation of total number of cells was negligible in the course of these three weeks of culture (FIG. 4E, grey bars). Similar results were obtained for BM-MSC. We thought it might be possible that the cell density in the alginate might influence the live/dead outcome, so we performed the same experiment, and compared number of dead cells in beads made of 0.5×106 cells/ml of alginate (used in the previous experiments) with number of dead cells in beads made of 5×106 cells/ml of alginate. However, the results were essentially the same, both for AT-MSC and BM-MSC (data not shown). For the rest of these experiments, we chose to encapsulate MSC in alginate at the concentration of 2×106 cells/ml.


RGD Binding to Integrin Molecules on MSC Ensures Cell Survival/Inhibits Cell Death in Alginate Cultures

The tripeptide RGD is found in several of the molecules in the ECM, binds to integrin heterodimers on the cell surface and is important for cell survival through which intracellular signals {Frisch, 1997 3134/id}. We embedded MSC in alginate into which the RGD peptide had been incorporated. Here, the cells still had a small and fairly rounded shape, but extensions from the body of the cells could frequently be observed, suggesting attachment to the surrounding material (FIG. 4C, lower right panel). Dead (red) cells could still be observed in the live/dead assay, but not nearly as many as with regular alginate (FIG. 4C, lower middle panel). Quantification of live and dead cells in the RGD alginate cultures is shown in FIG. 4D, black bars, and shows that 10-15% of the cells died in encapsulation. There was no evidence of an increase in the total number of cells over this culture period (FIG. 4E). Similar results were obtained for AT-MSC and BM-MSC.


MSC in Regular Alginate Most Likely Die by Programmed Cell Death

In order to determine type of cell death was initiated in regular alginate, we performed TUNEL assay at day 7. Results for AT-MSC are shown in FIG. 5A. The proportion of TUNEL+ cells in this assay identifies cells with endonuclease-mediated DNA strand breaks (double-stranded), and indicates that these cells die by programmed cell death (PCD). Similar results were observed with BM-MSC (data not shown).


The presence of short DNA strands, indicative of DNA fragmentation into oligonucleosomal subunits, can be visualized and quantified as a subG1 population by flow cytometry. BrdU staining of MSC on day 7, cultured in 2D and 3D, gated for subG1 populations, is shown in FIG. 5B. Only 2-4% of the cells cultured in monolayer were found in the subG1 population, indicating a small proportion of cell death. Of the cells in regular alginate, 42 and 49% were found in the subG1 population for AT- and BM-MSC respectively, while 21 and 26% of the cells in RGD alginate were in the sub G1 population for AT- and BM-MSC respectively. This further indicates PCD as the mode of death, and substantiates the results from the LIVE/DEAD assay.


Modest Proliferation of AT-MSC and No Proliferation of BM-MSC in 3D Alginate Cultures

Results from cell counts suggested that MSC embedded in alginate did not proliferate. We used the BrdU assay to estimate numbers of cells that were in S-phase, which would reflect the level of proliferation. A high proportion of the cells cultured in monolayer was found to be in the S phase of cell cycle, while the proportion of encapsulated cells in S phase was very low, similar to that previously described for uncultured AT-MSC {Boquest, 2006 3128/id} Another way to estimate proliferation is by measuring 3H thymidine incorporation. FIG. 5D shows this assay performed on cells from 5 donors for AT-MSC and 3 donors for BM-MSC on day 7-8 of culture. There was high uptake of 3H thymidine in all the cells cultured in monolayer, confirming high proliferative activity. No activity was observed for the MSC cultured in regular alginate. However, for AT-MSC cultured in RGD alginate we observed a small/moderate uptake of 3H thymidine.


MSC Cultured in RGD Alginate Retain Expression of Integrins Involved in Binding to RGD-Containing ECM Proteins

A number of integrin heterodimers are known to be involved in binding to the RGD motif in ECM molecules. To determine if embedding of MSC in alginate affected the expression of integrins on the cell surface, we used flow cytometry to detect the expression level of some of the integrin monomers involved in RGD binding. The results are shown in FIG. 6. MSC cultured in monolayer showed high expression of these molecules, suggesting that perhaps these molecules are of importance for their attachment to plastic. Following 7 days of culture in regular alginate, all these integrins were down-regulated. All the integrins, except CD61, were also down regulated in MSC cultured in RGD alginate, but to a lesser extent than on the cells cultured in regular alginate.


Example 4
Entrapment of MSC in RGD Alginate Induces Changes in Gene Expression

Human mesenchymal stem cells from bone marrow and adipose tissue (AT) were isolated from human donors and grown as a monolayer culture and later entrapped in alginate beads using LVG-alginate or RGD-alginate. Entrapment of cells in the alginate was performed as described in Example 1. At different times the cells were released from the alginate beads by washing with DPBS (Gibco) containing 100 mM EDTA for five minutes and centrifuged at 1500 rpm for 15 min. Finally the cells were resuspended in DPBS (Gibco) and further analyzed.


RNA sample preparation and microarray assay were performed according to the Affymetrix GeneChip Expression Analysis Technical Manual (Affymetrix, Santa Clara, Calif.). Briefly, freshly isolated AT-MSC, monolayer cultured and degelled alginate encapsulated cells from three donors at day 7 each were pelleted and snap frozen in liquid nitrogen. Total RNA was extracted from cells using Ambion RNaqueous (Miro, Austin, Tex.). Due to small amounts of RNA in freshly isolated uncultured cells, cDNA was prepared from 100 ng of total RNA using the Two-Cycle cDNA Synthesis Kit (Affymetrix P/N 900432). For all samples, 10 μg of cRNA 10 was hybridized to the HG-U133A2 array (Affymetrix) representing 22,277 probes. Arrays were scanned with Affymetrix GeneChip Scanner 3000 7G. The data are published in ArrayExpress, accession number E-MEXP-1273.


The open-source programming language and environment R (http://crans-project.org/doc/FAQ/RFAQ.html#Citing-R) was used for pre-processing and statistical analysis of the Affymetrix GeneChip microarrays. The Bioconductor {Gentleman, 2004 3127/id} community builds and maintains numerous packages for microarray analysis written in R, and several were used in this analysis. First, the array data were normalized using the gcRMA package {Wu Z, 2004 3129/id}. Then probes with absent calls in all arrays were discarded from the analysis. After preprocessing and normalization, a linear model of the experiment was made using Limma. This program was also used for statistical testing and ranking of significantly differentially expressed probes {Smyth G K, 2004 3130/id}. Affy was used for diagnostic plots and filtering {Gautier L, 2004 3131/id}. To adjust for multiple testing, the results for individual probes were ranked by Benjamini-Hochberg {Benjamini, 1995 3132/id} adjusted p-values, where p<0.01 was considered significant.


As changes in cell shape, polarity and proliferation has been shown to strongly influence gene expression {Yamada, 2007 3126/id}, we wanted to determine the changes in global mRNA expression observed between cells where all these factors were changed. To our surprise, we found no significant difference at the mRNA expression level between cells entrapped in RGD and regular alginate using Benjamini Hochberg multiple testing with p<0.01 (data not shown). This suggests that the events involved in PCD in these cells all occur at the post-transcriptional level.


For our analysis of differentially expressed genes, using p<0.01 and >3-fold change, we found probes representing 48 genes to be up-regulated upon entrapment in alginate. Gene ontology analysis showed that these genes could be functionally associated with cell adhesion and a number of metabolic processes (Supplementary Table 1). The list of upregulated genes is given in Table 1. The most highly upregulated gene, CNIH, encodes a protein associated with polarization of the cytoskeleton {Roth, 1995 3120/id}. Other genes associated with the cytoskeleton and actin-myosin association are MLPH, ARL4C, and FHOD3. An integrin (133,CD61) was found to be moderately upregulated at the mRNA level. The expression of R3 at the protein level was also slightly increased in MSC in RGD alginate compared with cells cultured in monolayer, consistent with the observed up-regulation at the mRNA level. Interestingly, the TDO2 gene was greatly upregulated in RGD alginate entrapped cells. The gene product, tryptophan 2,3-dioxygenase, is involved in the catabolism of tryptophan {Takikawa, 2005 3118/id}. The accelerated breakdown of tryptophan has been suggested to be an important mechanism for the immunosuppressive effect mediated by MSC {Meisel, 2004 2851/id}.


The gene ontology of the 39 genes downregulated in AT-MSC following entrapment in RGDalginate is shown in Supplementary Table 2. The largest clusters of genes were those associated with development, intracellular signaling and cellular morphogenesis. The list of individual genes is given in Table 2. It contains a number of genes associated with the cytoskeleton and filament biology (KRT18, FLG, CDC42EP3, VIL2, CAP2, FHL1, LMO7 and MFAPS). Three of the genes were associated with the cell cycle (TPD52L1, NEK2 and SEP11), while some genes were associated with lineage differentiation (HAPLN1 for cartilage; MEST and ZFP36 15 for fat; OXTR, ACTC, TRPC4, ACTA2 and PDE1C for cardiovascular and muscle; and RGS7 and MBP for neuronal differentiation).


Supplementary Table 3 shows the gene ontology of 665 probes representing genes upregulated in alginate entrapped cells. The vast majority of the most significantly upregulated probes represent genes associated with a range of metabolic processes. Also highly significant were categories of genes regulating macromolecule biosynthesis and cell localization and adhesion. MMP1 can be found at the top of the list of individual genes overexpressed in alginate entrapped cells (Table 3), but a number of other genes associated with the ECM (COMP, COL11A1, PAPPA, FN1, LTBP1) were also highly upregulated in these cells. Other functionally clustered genes on this shortlist are some involved with the cytoskeleton (LPXN, DSP, MICAL2) and with the bone morphogenic protein (BMP) pathway (GREM2, GREM1, TRIB3, LTBP1). TMEM158 and ITGA10 were found as highly upregulated in alginate entrapped cells both in comparison with cells cultured in monolayer and with uncultured cells, suggesting that these genes are specifically upregulated as a result of entrapment in RGD alginate.


Compared with MSC entrapped in RGD alginate, prospectively isolated, uncultured AT-MSC overexpressed genes clustered as associated with development and differentiation to a number of lineages. Supplementary Table 4 shows the gene ontology of the 503 probes which were upregulated in the uncultured cells. On the list of the most highly upregulated individual genes, CXCL14 ranks highest, followed by the BMP antagonist CHRDL1. Substantiating the gene ontology list, a number of genes associated with fat (CFD, APOD, SEPP1, FABP4, C7, LPL 16 and AADAC) and osteochondral differentiation (SPARCL1, ITM2A, CILP, SERPINA3, OMD and OGN) were found.


To this end, a wide range of 2D and 3D tissue culture procedures have been described. For MSC, practically all published data are based on cells in 2D culture. This is because attachment to a plastic surface is required for the cells to proliferate to yield the cell numbers required for assays or treatment protocols, and also because passage on plastic surfaces selects for the cell population now defined as MSC {Dominici, 2006 3043/id}. However, the change in morphology, polarization of the cytoskeleton, attachment properties and rate of cell division induced by plastic adherence leads to dramatic changes in MSC biology {Yamada, 2007 3126/id} {Boquest, 2005 2900/id}. The hypothesis driving the present invention was that it might be possible to reverse many of these changes by transferring monolayer expanded MSC to 3D cultures. We found that, for MSC in 3D cultures, cell shape, size and rate of cell division were similar to those observed for uncultured MSC {Boquest, 2005 2900/id} {Boquest, 2006 3128/id}. However, under the conditions provided in the present work, the transcriptome of the MSC expanded in 2D and then established in 3D culture was still far removed from that observed in freshly isolated, uncultured AT-MSC. While they could be seen to be closer to the plastic-adherent cells than to the freshly isolated MSC, the gene expression profile of the MSC in 3D cultures suggests that they should be considered to be a separate, third population of MSC.


Example 5
Prophetic Example. Using Autologous Stem Cells Entrapped in Alginate in the Treatment in Multiple Sclerosis (MS)

The previous examples describes that MSCs can be expanded to high numbers on plastic surfaces (2D), and then entrapped in alginate and if the tripeptide RGD is incorporated in the alginate, the cells survive over the duration of the study with high viability. The global gene expression analyses (Example 4) demonstrates that the alginate entrapped cells are different from the cells cultured in 2D, and different from cells characterized immediately after isolation, in the uncultured form (Duggal et al., unpublished). These cells seem to represent a new, third population of MSC. For therapeutic purposes, the alginate may be entirely removed, leaving the cells in single cell suspension with the morphological and molecular characteristics of 3D cells.


For cells cultured in alginate to be better than cells cultured in 2D in the treatment of MS, they need to be available at the site of damage in higher numbers, or exert higher efficacy at the site of damage, or be less likely to produce harmful effects, or any combination of these. The strategy for the use of MSC in MS could be based on intravenous (IV) injection or other administration of the cells. MSC cultured in 2D are large cells expressing a high density of adhesion molecules following their adherence to the plastic surface. This is likely to be the main reason why, following IV injection, these cells are retained in the first capillary network that they encounter, which is the pulmonary network. Here, many of the MSC die (see for instance Kraitchmann et al., Circulation 2005; 112:1451). In our work, we have shown that MSC after culture in alginate are smaller, and express a lower concentration of all the integrins tested so far (α3, 5 and V, β1 and 3). Thus, the cells may have a higher chance of escaping through the pulmonary circulation.


The exact mechanism of action of the MSC reported to be efficacious in neurological diseases is not known, but is likely to include immunosuppressive effects, transdifferentiation to neurons, glial cells and oligodendrocytes, and remyelination. For the immunosuppressive effect exerted by MSC, the mechanism of action again is not fully described. However, the induction of an accelerated degradation of tryptophan has been suggested to be of major importance (Meisel et al., Blood 2004; 103:4619). One mechanism by which the alginate entrapped MSC may be superior to the MSC expanded in 2D is through the action of the enzyme tryptophan 2,3-dioxygenase (TDO), which catalyzes the degradation of tryptophan (Murray, Curr Drug Metab 2007; 8:197), and is upregulated approximately 100-fold at the mRNA level in alginate entrapped MSC compared with 2D MSC (Example 4). For the other possible mechanisms of action of MSC no molecular mechanisms are described. Possibly a pre-clinical and clinical trials may show that alginate entrapped MSC have an advantage in these areas. There is precedence for cells cultured in 3D being better than their 2D counterparts for clinical applications. For instance, MSC need to be cultured in 3D to differentiate to chondrocytes (Sekiya et al., PNAS 2002; 99:4397). Another example is the differentiation of myoblasts to muscle tissue (Hill et al., PNAS 2006; 103:2494).









TABLE 1







Genes upregulated in MSC expanded in monolayer and then entrapped


in alginate compared with MSC only expanded in monolayer.


Selection criteria: p < 0.01, >3-fold difference











Fold


Symbol
Description
change












CNIH3
cornichon homolog 3
237


ETV1
ets variant gene 1
112


ITGA10
integrin, alpha 10
88


TDO2
tryptophan 2,3-dioxygenase
83


TMEM158
transmembrane protein 158
80


ARHGAP22
Rho GTPase activating protein 22
59


LIPG
lipase, endothelial
58


SNED1
sushi, nidogen and EGF-like domains 1
43


CLGN
calmegin
40


DUSP4
dual specificity phosphatase 4
39


MLPH
melanophilin
33


RNF144
ring finger protein 144
32


GPNMB
glycoprotein nmb
29


ANGPTL2
angiopoietin-like 2
27


NBL1
neuroblastoma, suppression of tumorigenicity 1
26


ITGA2
integrin, alpha 2 (CD49B)
24


PTGER2
prostaglandin E receptor 2 (subtype EP2)
23


ENOSF1
enolase superfamily member 1
21


KIAA1644
KIAA1644
20


ARL4C
ADP-ribosylation factor-like 4C
20


THBD
thrombomodulin
18


RNF128
ring finger protein128
17


ENO2
enolase 2
17


CTSK
cathepsin K
15


SLC6A8
solute carrier family 6 member 8
14


PHLDA1
pleckstrin homology-like domain, family
13



A, 1


COL7A1
collagen, type VII, alpha 1
12


SRPX2
sushi-repeat-containing protein, X-linked 2
11


SLC7A8
solute carrier family 7, member 8
11


FOXO1A
forkhead box O1A
11


AMY1A
amylase, alpha 1
10


SOX4
SRY (sex determining region Y)-box 4
10


ITGB3
integrin, beta 3 (CD61)
9


SYNJ2
synaptojanin 2
7


FHOD3
formin homology 2 domain containing 3
7


GPR177
G protein-coupled receptor 177
6


PPFIBP1
PTPRF interacting protein, binding protein 1
6


HS2ST1
heparan sulfate 2-O-sulfotransferase 1
6


C1orf107
chromosome 1 open reading frame 107
6


CYLD
cylindromatosis
5


ANKRD10
ankyrin repeat domain 10
5


WWOX
WW domain containing oxidoreductase
5


LPIN1
lipin 1
4


HIC2
hypermethylated in cancer 2
4


SLC2A6
solute carrier family 2, member 6
4


DNMBP
dynamin binding protein
3


GNPDA1
glucosamine-6-phosphate deaminase 1
3


STAG2
stromal antigen 2
3
















TABLE 2







Genes downregulated in AT-MSC expanded in monolayer and then


entrapped in alginate compared with AT-MSC only expanded


in monolayer. Selection criteria: p < 0.01, >3-fold difference











Fold


Symbol
Description
change












HAPLN1
hyaluronan and proteoglycan link
338



protein 1


KRT18
keratin 18
335


MEST
mesoderm specific transcript
267



homolog


OXTR
oxytocin receptor
244


SERPINB7
serpin peptidase inhibitor, clade B,
138



member 7


ACTC
actin, alpha, cardiac muscle
93


TRPC4
transient receptor potential cation channel,
68



subfamily C, 4


B3GALT2
UDP-Gal:betaGlcNAc beta
48



1,3-galactosyltransferase 2


RGS7
regulator of G-protein signalling 7
34


MBP
myelin basic protein
28


SCN9A
sodium channel, voltage-gated, type
24



IX, alpha


NPR3
natriuretic peptide receptor C/guanylate
23



cyclase C


FLG
filaggrin
21


IL7R
interleukin 7 receptor
20


TPD52L1
tumor protein D52-like 1
19


DKFZP686A01247
hypothetical protein
16


ACTA2
actin, alpha 2, smooth muscle, aorta
14


C5orf23
chromosome 5 open reading frame 23
12


CDC42EP3
CDC42 effector protein 3
11


PRPS1
phosphoribosyl pyrophosphate
11



synthetase 1


SH2D4A
SH2 domain containing 4A
11


PRSS23
protease, serine, 23
10


VIL2
villin 2 (ezrin)
10


CAP2
CAP, adenylate cyclase-associated
9



protein, 2


ZFP36
zinc finger protein 36
8


FHL1
four and a half LIM domains 1
8


ELL2
elongation factor, RNA polymerase II, 2
7


RRAS2
related RAS viral (r-ras) oncogene
7



homolog 2


RBMS2
RNA binding moti 2
7


LMO7
LIM domain 7
6


DBNDD2
dysbindin domain containing 2
6


NEK7
NIMA (never in mitosis gene a)-related
6



kinase 7


SEP11
septin 11
5


PDE1C
phosphodiesterase 1C
5


CHAC1
ChaC, cation transport regulator-like 1
5


TMPO
thymopoietin
4


IDE
insulin-degrading enzyme
4


MFAP5
microfibrillar associated protein 5
4


MBNL2
muscleblind-like 2
4
















TABLE 3







Genes upregulated in AT-MSC expanded in monolayer and then


entrapped in alginate compared with uncultured AT-MSC.


Selection criteria: p < 0.01, top 30 genes by fold change











Fold


Symbol
Description
change












MMP1
matrix metallopeptidase 1
5557


KIAA1199
KIAA1199
1563


INHBA
inhibin, beta A (activin A)
1243


COMP
cartilage oligomeric matrix protein
744


HMGA2
high mobility group AT-hook 2
458


LPXN
leupaxin
393


SLC7A11
solute carrier family 7, member 11
343


DSP
desmoplakin
290


IL1RN
interleukin 1 receptor antagonist
288


STC1
stanniocalcin 1
252


COL11A1
collagen, type XI, alpha 1
241


PAPPA
pregnancy-associated plasma protein A,
237



pappalysin 1


UCHL1
ubiquitin carboxyl-terminal esterase L1
229


SCG5
secretogranin V (7B2 protein)
218


DKK1
dickkopf homolog 1
193


MICAL2
microtubule associated monoxygenase,
190



calponin and LIM domain 2


CDH2
cadherin 2, type 1, N-cadherin
175


GREM2
gremlin 2,
163


FN1
fibronectin 1
160


FOXD1
forkhead box D1
151


GREM1
gremlin 1,
140


TRIB3
tribbles homolog 3
136


POPDC3
popeye domain containing 3
126


TMEM158
transmembrane protein 158
124


SCD
stearoyl-CoA desaturase
124


CNIH3
cornichon homolog 3
122


ELTD1
EGF, latrophilin and seven transmembrane
116



domain 1


FADS1
fatty acid desaturase 1
110


LTBP1
latent transforming growth factor beta binding
106



protein 1


ITGA10
integrin, alpha 10
105
















TABLE 4







Genes upregulated in uncultured AT-MSC compared with AT-MSC


expanded in monolayer and then entrapped in alginate.


Selection criteria: p < 0.01, top 30 genes by fold change











Fold


Symbol
Description
change












CXCL14
chemokine (C—X—C motif) ligand 14
6841


CHRDL1
chordin-like 1
3304


CFD
complement factor D (adipsin)
3019


ADH1B
alcohol dehydrogenase IB, beta
2978


APOD
apolipoprotein D
2937


SPARCL1
SPARC-like 1 (hevin)
2521


SEPP1
selenoprotein P, plasma, 1
2320


ITIH5
inter-alpha (globulin) inhibitor H5
2180


FABP4
fatty acid binding protein 4,
2020


C7
complement component 7
1438


FMO2
flavin containing monooxygenase 2
1252


PDGFRL
platelet-derived growth factor receptor-like
1235


ITM2A
integral membrane protein 2A
1193


CHL1
cell adhesion molecule with homology to L1CAM
1184


CILP
cartilage intermediate layer protein
1160


MYOC
myocilin
1136


NTRK2
neurotrophic tyrosine kinase, receptor, type 2
1082


LPL
lipoprotein lipase
982


SERPINA3
serpin peptidase inhibitor, clade A, 3
976


AADAC
arylacetamide deacetylase
885


CLEC3B
C-type lectin domain family 3, B
676


SPRY1
sprouty homolog 1, antagonist of FGF signaling
644


RGS5
regulator of G-protein signalling 5
556


FMO1
flavin containing monooxygenase 1
501


WNT11
wingless-type MMTV integration site family, 11
468


PPL
periplakin
452


OMD
osteomodulin
422


OGN
osteoglycin (mimecan)
402


TNFSF10
tumor necrosis factor (ligand) superfamily, 10
360


MATN2
matrilin 2
357
















SUPPLEMENTAL TABLE 1







Gene ontology terms in the list with p value of less than 0.05, for upregulated in RGD vs Monolayer
















% of Genes in




Genes in
% of Genes
Genes in List
List in


Upregulated RGD vs monolayer
Category
in Category
in Category
Category
p-Value















GO: 7160: cell-matrix adhesion
143
0.838
4
9.756
0.000376


GO: 31589: cell-substrate adhesion
145
0.849
4
9.756
0.000396


GO: 15804: neutral amino acid transport
19
0.111
2
4.878
0.000938


GO: 7229: integrin-mediated signaling
102
0.598
3
7.317
0.00187


pathway


GO: 15807: L-amino acid transport
29
0.17
2
4.878
0.00219


GO: 1510: RNA methylation
2
0.0117
1
2.439
0.0048


GO: 7596: blood coagulation
148
0.867
3
7.317
0.00535


GO: 50817: coagulation
152
0.891
3
7.317
0.00576


GO: 7599: hemostasis
157
0.92
3
7.317
0.0063


GO: 7338: fertilization (sensu Metazoa)
57
0.334
2
4.878
0.00826


GO: 50878: regulation of body fluids
174
1.019
3
7.317
0.00835


GO: 9566: fertilization
58
0.34
2
4.878
0.00855


GO: 6865: amino acid transport
60
0.352
2
4.878
0.00912


GO: 45210: FasL biosynthesis
4
0.0234
1
2.439
0.00957


GO: 15014: heparan sulfate
4
0.0234
1
2.439
0.00957


proteoglycan biosynthesis,


polysaccharide chain biosynthesis


GO: 42060: wound healing
185
1.084
3
7.317
0.00987


GO: 7155: cell adhesion
1051
6.157
7
17.07
0.0117


GO: 31017: exocrine pancreas
5
0.0293
1
2.439
0.012


development


GO: 30202: heparin metabolism
5
0.0293
1
2.439
0.012


GO: 9308: amine metabolism
587
3.439
5
12.2
0.0128


GO: 15837: amine transport
79
0.463
2
4.878
0.0154


GO: 6568: tryptophan metabolism
7
0.041
1
2.439
0.0167


GO: 6807: nitrogen compound
630
3.691
5
12.2
0.0169


metabolism


GO: 15849: organic acid transport
96
0.562
2
4.878
0.0223


GO: 46942: carboxylic acid transport
96
0.562
2
4.878
0.0223


GO: 6043: glucosamine catabolism
10
0.0586
1
2.439
0.0238


GO: 46348: amino sugar catabolism
10
0.0586
1
2.439
0.0238


GO: 45598: regulation of fat cell
11
0.0644
1
2.439
0.0261


differentiation


GO: 1504: neurotransmitter uptake
12
0.0703
1
2.439
0.0285


GO: 15012: heparan sulfate
13
0.0762
1
2.439
0.0308


proteoglycan biosynthesis


GO: 1505: regulation of
116
0.68
2
4.878
0.0316


neurotransmitter levels


GO: 6586: indolalkylamine metabolism
15
0.0879
1
2.439
0.0354


GO: 42430: indole and derivative
15
0.0879
1
2.439
0.0354


metabolism


GO: 42434: indole derivative
15
0.0879
1
2.439
0.0354


metabolism


GO: 7044: cell-substrate junction
15
0.0879
1
2.439
0.0354


assembly


GO: 30201: heparan sulfate
16
0.0937
1
2.439
0.0378


proteoglycan metabolism


GO: 50931: pigment cell differentiation
18
0.105
1
2.439
0.0424


GO: 30318: melanocyte differentiation
18
0.105
1
2.439
0.0424


GO: 31016: pancreas development
20
0.117
1
2.439
0.047
















SUPPLEMENTAL TABLE 2







Gene ontology terms in the list with p value of less than 0.05,


for upregulated in monolayer vs RGD















Genes in
% of Genes




Genes in
% of Genes
list in
in List in


Upregulated monolayer vs RGD
category
in Category
category
Category
p-Value















GO: 8360: regulation of cell shape
74
0.434
3
8.571
0.000463


GO: 9312: oligosaccharide
16
0.0937
2
5.714
0.000481


biosynthesis


GO: 9311: oligosaccharide
34
0.199
2
5.714
0.0022


metabolism


GO: 50779: RNA destabilization
3
0.0176
1
2.857
0.00614


GO: 7265: Ras protein signal
91
0.533
2
5.714
0.0149


transduction


GO: 902: cellular morphogenesis
720
4.218
5
14.29
0.015


GO: 31032: actomyosin structure
8
0.0469
1
2.857
0.0163


organization and biogenesis


GO: 48535: lymph node
11
0.0644
1
2.857
0.0223


development


GO: 7565: pregnancy
123
0.721
2
5.714
0.0262


GO: 6368: RNA elongation from
13
0.0762
1
2.857
0.0263


RNA polymerase II promoter


GO: 50728: negative regulation of
13
0.0762
1
2.857
0.0263


inflammatory response


GO: 16051: carbohydrate
130
0.762
2
5.714
0.0291


biosynthesis


GO: 7242: intracellular signaling
1845
10.81
8
22.86
0.0302


cascade


GO: 7275: development
3816
22.36
13
37.14
0.0339


GO: 6354: RNA elongation
17
0.0996
1
2.857
0.0343


GO: 6144: purine base metabolism
17
0.0996
1
2.857
0.0343


GO: 6309: DNA fragmentation
18
0.105
1
2.857
0.0363


during apoptosis


GO: 51291: protein
18
0.105
1
2.857
0.0363


heterooligomerization


GO: 18: regulation of DNA
19
0.111
1
2.857
0.0383


recombination


GO: 46330: positive regulation of
19
0.111
1
2.857
0.0383


JNK cascade


GO: 45638: negative regulation of
22
0.129
1
2.857
0.0442


myeloid cell differentiation


GO: 6486: protein amino acid
167
0.978
2
5.714
0.0459


glycosylation


GO: 43413: biopolymer
169
0.99
2
5.714
0.0469


glycosylation


GO: 7016: cytoskeletal anchoring
24
0.141
1
2.857
0.0481
















SUPPLEMENTAL TABLE 3







Gene ontology terms in the list with p value of less than 0.05,


for upregulated in RGD vs uncultured
















% of






Genes in
Genes in



Genes in
% of Genes
List in
List in


Category
Category
in Category
Category
Category
p-Value















GO: 9058: biosynthesis
1763
10.33
106
19.78
2.66E−11


GO: 16126: sterol biosynthesis
52
0.305
13
2.425
5.17E−09


GO: 6096: glycolysis
85
0.498
15
2.799
5.56E−08


GO: 6091: generation of precursor
791
4.634
54
10.07
6.68E−08


metabolites and energy


GO: 6066: alcohol metabolism
443
2.595
36
6.716
1.98E−07


GO: 6520: amino acid metabolism
387
2.267
33
6.157
2.15E−07


GO: 6865: amino acid transport
60
0.352
12
2.239
2.88E−07


GO: 6519: amino acid and derivative
485
2.841
37
6.903
6.36E−07


metabolism


GO: 6092: main pathways of
177
1.037
20
3.731
7.70E−07


carbohydrate metabolism


GO: 6007: glucose catabolism
104
0.609
15
2.799
8.52E−07


GO: 19752: carboxylic acid
736
4.312
48
8.955
1.39E−06


metabolism


GO: 6694: steroid biosynthesis
108
0.633
15
2.799
1.39E−06


GO: 6082: organic acid metabolism
738
4.324
48
8.955
1.50E−06


GO: 6807: nitrogen compound
630
3.691
43
8.022
1.57E−06


metabolism


GO: 44249: cellular biosynthesis
1567
9.18
82
15.3
2.59E−06


GO: 6695: cholesterol biosynthesis
40
0.234
9
1.679
3.18E−06


GO: 44262: cellular carbohydrate
499
2.923
36
6.716
3.30E−06


metabolism


GO: 9308: amine metabolism
587
3.439
40
7.463
3.81E−06


GO: 9259: ribonucleotide metabolism
133
0.779
16
2.985
4.31E−06


GO: 46365: monosaccharide
121
0.709
15
2.799
5.90E−06


catabolism


GO: 19320: hexose catabolism
121
0.709
15
2.799
5.90E−06


GO: 8610: lipid biosynthesis
330
1.933
27
5.037
5.96E−06


GO: 15837: amine transport
79
0.463
12
2.239
6.13E−06


GO: 46164: alcohol catabolism
124
0.726
15
2.799
8.00E−06


GO: 15849: organic acid transport
96
0.562
13
2.425
9.30E−06


GO: 46942: carboxylic acid transport
96
0.562
13
2.425
9.30E−06


GO: 6163: purine nucleotide
126
0.738
15
2.799
9.74E−06


metabolism


GO: 43038: amino acid activation
58
0.34
10
1.866
1.15E−05


GO: 43039: tRNA aminoacylation
58
0.34
10
1.866
1.15E−05


GO: 6418: tRNA aminoacylation for
58
0.34
10
1.866
1.15E−05


protein translation


GO: 19318: hexose metabolism
231
1.353
21
3.918
1.34E−05


GO: 15980: energy derivation by
268
1.57
23
4.291
1.35E−05


oxidation of organic compounds


GO: 9165: nucleotide biosynthesis
196
1.148
19
3.545
1.39E−05


GO: 6006: glucose metabolism
165
0.967
17
3.172
1.77E−05


GO: 5996: monosaccharide
236
1.383
21
3.918
1.85E−05


metabolism


GO: 9260: ribonucleotide biosynthesis
118
0.691
14
2.612
2.00E−05


GO: 9150: purine ribonucleotide
119
0.697
14
2.612
2.20E−05


metabolism


GO: 16052: carbohydrate catabolism
152
0.891
16
2.985
2.39E−05


GO: 44275: cellular carbohydrate
152
0.891
16
2.985
2.39E−05


catabolism


GO: 5975: carbohydrate metabolism
637
3.732
40
7.463
2.58E−05


GO: 51089: constitutive protein
3
0.0176
3
0.56
3.08E−05


ectodomain proteolysis


GO: 51186: cofactor metabolism
267
1.564
22
4.104
3.86E−05


GO: 6164: purine nucleotide
112
0.656
13
2.425
4.96E−05


biosynthesis


GO: 6457: protein folding
341
1.998
25
4.664
8.08E−05


GO: 9152: purine ribonucleotide
106
0.621
12
2.239
0.000122


biosynthesis


GO: 6100: tricarboxylic acid cycle
37
0.217
7
1.306
0.000131


intermediate metabolism


GO: 6732: coenzyme metabolism
216
1.265
18
3.358
0.000167


GO: 9199: ribonucleoside triphosphate
96
0.562
11
2.052
0.000209


metabolism


GO: 16125: sterol metabolism
130
0.762
13
2.425
0.000229


GO: 9117: nucleotide metabolism
302
1.769
22
4.104
0.000233


GO: 15807: L-amino acid transport
29
0.17
6
1.119
0.000239


GO: 44248: cellular catabolism
803
4.704
44
8.209
0.000243


GO: 9141: nucleoside triphosphate
103
0.603
11
2.052
0.000388


metabolism


GO: 9991: response to extracellular
45
0.264
7
1.306
0.000466


stimulus


GO: 43037: translation
219
1.283
17
3.172
0.000571


GO: 44265: cellular macromolecule
508
2.976
30
5.597
0.000728


catabolism


GO: 9205: purine ribonucleoside
95
0.557
10
1.866
0.000792


triphosphate metabolism


GO: 9144: purine nucleoside
96
0.562
10
1.866
0.00086


triphosphate metabolism


GO: 6541: glutamine metabolism
25
0.146
5
0.933
0.000945


GO: 7412: axon target recognition
2
0.0117
2
0.373
0.000984


GO: 6478: peptidyl-tyrosine sulfation
2
0.0117
2
0.373
0.000984


GO: 19255: glucose 1-phosphate
2
0.0117
2
0.373
0.000984


metabolism


GO: 9056: catabolism
926
5.425
46
8.582
0.00142


GO: 6636: fatty acid desaturation
8
0.0469
3
0.56
0.00153


GO: 8202: steroid metabolism
261
1.529
18
3.358
0.00156


GO: 31667: response to nutrient levels
41
0.24
6
1.119
0.00165


GO: 6399: tRNA metabolism
105
0.615
10
1.866
0.00171


GO: 46034: ATP metabolism
73
0.428
8
1.493
0.00201


GO: 46483: heterocycle metabolism
109
0.639
10
1.866
0.00226


GO: 6953: acute-phase response
44
0.258
6
1.119
0.00239


GO: 9064: glutamine family amino
60
0.352
7
1.306
0.00265


acid metabolism


GO: 6431: methionyl-tRNA
3
0.0176
2
0.373
0.00289


aminoacylation


GO: 6436: tryptophanyl-tRNA
3
0.0176
2
0.373
0.00289


aminoacylation


GO: 9207: purine ribonucleoside
3
0.0176
2
0.373
0.00289


triphosphate catabolism


GO: 6200: ATP catabolism
3
0.0176
2
0.373
0.00289


GO: 9203: ribonucleoside triphosphate
3
0.0176
2
0.373
0.00289


catabolism


GO: 6741: NADP biosynthesis
3
0.0176
2
0.373
0.00289


GO: 101: sulfur amino acid transport
3
0.0176
2
0.373
0.00289


GO: 15811: L-cystine transport
3
0.0176
2
0.373
0.00289


GO: 6188: IMP biosynthesis
10
0.0586
3
0.56
0.00313


GO: 6189: ‘de novo’ IMP biosynthesis
10
0.0586
3
0.56
0.00313


GO: 6108: malate metabolism
10
0.0586
3
0.56
0.00313


GO: 46040: IMP metabolism
10
0.0586
3
0.56
0.00313


GO: 31669: cellular response to
10
0.0586
3
0.56
0.00313


nutrient levels


GO: 9267: cellular response to
10
0.0586
3
0.56
0.00313


starvation


GO: 31668: cellular response to
10
0.0586
3
0.56
0.00313


extracellular stimulus


GO: 9057: macromolecule catabolism
560
3.281
30
5.597
0.00323


GO: 6221: pyrimidine nucleotide
34
0.199
5
0.933
0.00393


biosynthesis


GO: 9124: nucleoside monophosphate
34
0.199
5
0.933
0.00393


biosynthesis


GO: 9123: nucleoside monophosphate
34
0.199
5
0.933
0.00393


metabolism


GO: 51270: regulation of cell motility
100
0.586
9
1.679
0.0042


GO: 42594: response to starvation
11
0.0644
3
0.56
0.00421


GO: 7162: negative regulation of cell
35
0.205
5
0.933
0.00446


adhesion


GO: 45454: cell redox homeostasis
66
0.387
7
1.306
0.00455


GO: 51188: cofactor biosynthesis
140
0.82
11
2.052
0.00468


GO: 9201: ribonucleoside triphosphate
84
0.492
8
1.493
0.00484


biosynthesis


GO: 42364: water-soluble vitamin
23
0.135
4
0.746
0.0053


biosynthesis


GO: 6118: electron transport
434
2.543
24
4.478
0.00546


GO: 9113: purine base biosynthesis
12
0.0703
3
0.56
0.00548


GO: 9142: nucleoside triphosphate
86
0.504
8
1.493
0.00558


biosynthesis


GO: 19471: 4-hydroxyproline
4
0.0234
2
0.373
0.00566


metabolism


GO: 18401: peptidyl-proline
4
0.0234
2
0.373
0.00566


hydroxylation to 4-hydroxy-L-proline


GO: 9146: purine nucleoside
4
0.0234
2
0.373
0.00566


triphosphate catabolism


GO: 45210: FasL biosynthesis
4
0.0234
2
0.373
0.00566


GO: 6101: citrate metabolism
4
0.0234
2
0.373
0.00566


GO: 19511: peptidyl-proline
4
0.0234
2
0.373
0.00566


hydroxylation


GO: 30334: regulation of cell
87
0.51
8
1.493
0.00598


migration


GO: 6029: proteoglycan metabolism
38
0.223
5
0.933
0.00639


GO: 6986: response to unfolded
89
0.521
8
1.493
0.00684


protein


GO: 9059: macromolecule
1034
6.058
47
8.769
0.00692


biosynthesis


GO: 40012: regulation of locomotion
108
0.633
9
1.679
0.00694


GO: 50795: regulation of behavior
108
0.633
9
1.679
0.00694


GO: 7220: Notch receptor processing
13
0.0762
3
0.56
0.00696


GO: 9110: vitamin biosynthesis
25
0.146
4
0.746
0.0072


GO: 6509: membrane protein
25
0.146
4
0.746
0.0072


ectodomain proteolysis


GO: 6725: aromatic compound
174
1.019
12
2.239
0.00895


metabolism


GO: 9143: nucleoside triphosphate
5
0.0293
2
0.373
0.00924


catabolism


GO: 18208: peptidyl-proline
5
0.0293
2
0.373
0.00924


modification


GO: 320: re-entry into mitotic cell
5
0.0293
2
0.373
0.00924


cycle


GO: 51234: establishment of
4175
24.46
155
28.92
0.00929


localization


GO: 1502: cartilage condensation
27
0.158
4
0.746
0.00951


GO: 9220: pyrimidine ribonucleotide
27
0.158
4
0.746
0.00951


biosynthesis


GO: 19363: pyridine nucleotide
15
0.0879
3
0.56
0.0106


biosynthesis


GO: 51179: localization
4235
24.81
156
29.1
0.012


GO: 9218: pyrimidine ribonucleotide
29
0.17
4
0.746
0.0122


metabolism


GO: 9108: coenzyme biosynthesis
119
0.697
9
1.679
0.0127


GO: 8203: cholesterol metabolism
119
0.697
9
1.679
0.0127


GO: 9310: amine catabolism
99
0.58
8
1.493
0.0127


GO: 30201: heparan sulfate
16
0.0937
3
0.56
0.0127


proteoglycan metabolism


GO: 30968: unfolded protein response
16
0.0937
3
0.56
0.0127


GO: 6752: group transfer coenzyme
81
0.475
7
1.306
0.0136


metabolism


GO: 9263: deoxyribonucleotide
6
0.0352
2
0.373
0.0136


biosynthesis


GO: 6002: fructose 6-phosphate
6
0.0352
2
0.373
0.0136


metabolism


GO: 44270: nitrogen compound
101
0.592
8
1.493
0.0142


catabolism


GO: 7229: integrin-mediated signaling
102
0.598
8
1.493
0.015


pathway


GO: 6144: purine base metabolism
17
0.0996
3
0.56
0.0151


GO: 9063: amino acid catabolism
83
0.486
7
1.306
0.0154


GO: 9145: purine nucleoside
83
0.486
7
1.306
0.0154


triphosphate biosynthesis


GO: 9206: purine ribonucleoside
83
0.486
7
1.306
0.0154


triphosphate biosynthesis


GO: 9072: aromatic amino acid family
31
0.182
4
0.746
0.0155


metabolism


GO: 9156: ribonucleoside
31
0.182
4
0.746
0.0155


monophosphate biosynthesis


GO: 9161: ribonucleoside
31
0.182
4
0.746
0.0155


monophosphate metabolism


GO: 6769: nicotinamide metabolism
32
0.187
4
0.746
0.0172


GO: 45620: negative regulation of
7
0.041
2
0.373
0.0186


lymphocyte differentiation


GO: 9154: purine ribonucleotide
7
0.041
2
0.373
0.0186


catabolism


GO: 6979: response to oxidative stress
87
0.51
7
1.306
0.0195


GO: 51084: posttranslational protein
19
0.111
3
0.56
0.0205


folding


GO: 15804: neutral amino acid
19
0.111
3
0.56
0.0205


transport


GO: 7155: cell adhesion
1051
6.157
45
8.396
0.0214


GO: 6888: ER to Golgi transport
130
0.762
9
1.679
0.0215


GO: 9112: nucleobase metabolism
35
0.205
4
0.746
0.0233


GO: 9209: pyrimidine ribonucleoside
20
0.117
3
0.56
0.0236


triphosphate biosynthesis


GO: 6241: CTP biosynthesis
20
0.117
3
0.56
0.0236


GO: 46112: nucleobase biosynthesis
20
0.117
3
0.56
0.0236


GO: 9208: pyrimidine ribonucleoside
20
0.117
3
0.56
0.0236


triphosphate metabolism


GO: 46036: CTP metabolism
20
0.117
3
0.56
0.0236


GO: 6984: ER-nuclear signaling
20
0.117
3
0.56
0.0236


pathway


GO: 6195: purine nucleotide
8
0.0469
2
0.373
0.0243


catabolism


GO: 6220: pyrimidine nucleotide
53
0.311
5
0.933
0.025


metabolism


GO: 19362: pyridine nucleotide
36
0.211
4
0.746
0.0256


metabolism


GO: 9127: purine nucleoside
21
0.123
3
0.56
0.0269


monophosphate biosynthesis


GO: 9168: purine ribonucleoside
21
0.123
3
0.56
0.0269


monophosphate biosynthesis


GO: 9126: purine nucleoside
21
0.123
3
0.56
0.0269


monophosphate metabolism


GO: 9167: purine ribonucleoside
21
0.123
3
0.56
0.0269


monophosphate metabolism


GO: 6790: sulfur metabolism
94
0.551
7
1.306
0.0284


GO: 6800: oxygen and reactive
116
0.68
8
1.493
0.0298


oxygen species metabolism


GO: 9636: response to toxin
22
0.129
3
0.56
0.0304


GO: 46907: intracellular transport
1021
5.982
43
8.022
0.0306


GO: 19627: urea metabolism
9
0.0527
2
0.373
0.0306


GO: 50: urea cycle
9
0.0527
2
0.373
0.0306


GO: 6702: androgen biosynthesis
9
0.0527
2
0.373
0.0306


GO: 15813: L-glutamate transport
9
0.0527
2
0.373
0.0306


GO: 19748: secondary metabolism
56
0.328
5
0.933
0.0308


GO: 7406: negative regulation of
1
0.00586
1
0.187
0.0314


neuroblast proliferation


GO: 6437: tyrosyl-tRNA
1
0.00586
1
0.187
0.0314


aminoacylation


GO: 6172: ADP biosynthesis
1
0.00586
1
0.187
0.0314


GO: 9183: purine deoxyribonucleoside
1
0.00586
1
0.187
0.0314


diphosphate biosynthesis


GO: 6173: dADP biosynthesis
1
0.00586
1
0.187
0.0314


GO: 9153: purine deoxyribonucleotide
1
0.00586
1
0.187
0.0314


biosynthesis


GO: 51045: negative regulation of
1
0.00586
1
0.187
0.0314


membrane protein ectodomain


proteolysis


GO: 51043: regulation of membrane
1
0.00586
1
0.187
0.0314


protein ectodomain proteolysis


GO: 31639: plasminogen activation
1
0.00586
1
0.187
0.0314


GO: 42262: DNA protection
1
0.00586
1
0.187
0.0314


GO: 9182: purine deoxyribonucleoside
1
0.00586
1
0.187
0.0314


diphosphate metabolism


GO: 46056: dADP metabolism
1
0.00586
1
0.187
0.0314


GO: 7035: vacuolar acidification
1
0.00586
1
0.187
0.0314


GO: 15822: L-ornithine transport
1
0.00586
1
0.187
0.0314


GO: 66: mitochondrial ornithine
1
0.00586
1
0.187
0.0314


transport


GO: 44255: cellular lipid metabolism
778
4.558
34
6.343
0.0327


GO: 15986: ATP synthesis coupled
58
0.34
5
0.933
0.0351


proton transport


GO: 15985: energy coupled proton
58
0.34
5
0.933
0.0351


transport, down electrochemical


gradient


GO: 46209: nitric oxide metabolism
40
0.234
4
0.746
0.036


GO: 6809: nitric oxide biosynthesis
40
0.234
4
0.746
0.036


GO: 8037: cell recognition
40
0.234
4
0.746
0.036


GO: 6527: arginine catabolism
10
0.0586
2
0.373
0.0375


GO: 9261: ribonucleotide catabolism
10
0.0586
2
0.373
0.0375


GO: 15936: coenzyme A metabolism
10
0.0586
2
0.373
0.0375


GO: 15800: acidic amino acid
10
0.0586
2
0.373
0.0375


transport


GO: 6739: NADP metabolism
24
0.141
3
0.56
0.0382


GO: 51649: establishment of cellular
1039
6.087
43
8.022
0.039


localization


GO: 6412: protein biosynthesis
928
5.437
39
7.276
0.0393


GO: 6754: ATP biosynthesis
61
0.357
5
0.933
0.0423


GO: 6767: water-soluble vitamin
61
0.357
5
0.933
0.0423


metabolism


GO: 6753: nucleoside phosphate
61
0.357
5
0.933
0.0423


metabolism


GO: 9147: pyrimidine nucleoside
25
0.146
3
0.56
0.0424


triphosphate metabolism


GO: 7271: synaptic transmission,
25
0.146
3
0.56
0.0424


cholinergic


GO: 48193: Golgi vesicle transport
195
1.142
11
2.052
0.0442


GO: 6477: protein amino acid
11
0.0644
2
0.373
0.0449


sulfation


GO: 6890: retrograde transport, Golgi
26
0.152
3
0.56
0.0469


to ER


GO: 7052: mitotic spindle
26
0.152
3
0.56
0.0469


organization and biogenesis


GO: 30261: chromosome
26
0.152
3
0.56
0.0469


condensation


GO: 30178: negative regulation of
26
0.152
3
0.56
0.0469


Wnt receptor signaling pathway


GO: 6810: transport
3505
20.53
126
23.51
0.0484
















SUPPLEMENTAL TABLE 4







Gene ontology terms in the list with p value of less


than 0.05, for upregulated in uncultured vs RGD














% of
Genes in
% of Genes in



Upregulated uncultured
Genes in
Genes in
List in
List in


vs RGD
Category
Category
Category
Category
p-Value















GO: 7275: development
3816
22.36
152
33.33
3.34E−08


GO: 30154: cell
1482
8.682
74
16.23
9.95E−08


differentiation


GO: 45637: regulation of
69
0.404
11
2.412
1.98E−06


myeloid cell


differentiation


GO: 30111: regulation of
45
0.264
9
1.974
2.42E−06


Wnt receptor signaling


pathway


GO: 48519: negative
1841
10.79
80
17.54
7.41E−06


regulation of biological


process


GO: 42127: regulation of
730
4.277
40
8.772
1.42E−05


cell proliferation


GO: 7517: muscle
276
1.617
21
4.605
1.77E−05


development


GO: 48513: organ
1675
9.813
73
16.01
1.81E−05


development


GO: 35026: leading edge
3
0.0176
3
0.658
1.89E−05


cell differentiation


GO: 30185: nitric oxide
3
0.0176
3
0.658
1.89E−05


transport


GO: 9966: regulation of
663
3.884
37
8.114
2.02E−05


signal transduction


GO: 30099: myeloid cell
139
0.814
14
3.07
2.16E−05


differentiation


GO: 48523: negative
1723
10.09
74
16.23
2.59E−05


regulation of cellular


process


GO: 9653: morphogenesis
1716
10.05
73
16.01
4.05E−05


GO: 8593: regulation of
16
0.0937
5
1.096
4.56E−05


Notch signaling pathway


GO: 45165: cell fate
114
0.668
12
2.632
5.37E−05


commitment


GO: 6067: ethanol
9
0.0527
4
0.877
5.69E−05


metabolism


GO: 6069: ethanol
9
0.0527
4
0.877
5.69E−05


oxidation


GO: 185: activation of
9
0.0527
4
0.877
5.69E−05


MAPKKK activity


GO: 40007: growth
402
2.355
25
5.482
8.58E−05


GO: 1709: cell fate
44
0.258
7
1.535
0.000151


determination


GO: 45596: negative
75
0.439
9
1.974
0.000169


regulation of cell


differentiation


GO: 74: regulation of
916
5.366
43
9.43
0.000239


progression through cell


cycle


GO: 45638: negative
22
0.129
5
1.096
0.000241


regulation of myeloid cell


differentiation


GO: 9968: negative
154
0.902
13
2.851
0.000255


regulation of signal


transduction


GO: 6800: oxygen and
116
0.68
11
2.412
0.000277


reactive oxygen species


metabolism


GO: 8283: cell
1199
7.024
52
11.4
0.00037


proliferation


GO: 6957: complement
14
0.082
4
0.877
0.000407


activation, alternative


pathway


GO: 6954: inflammatory
335
1.963
20
4.386
0.000719


response


GO: 16055: Wnt receptor
172
1.008
13
2.851
0.000737


signaling pathway


GO: 42551: neuron
75
0.439
8
1.754
0.000859


maturation


GO: 45429: positive
17
0.0996
4
0.877
0.000907


regulation of nitric oxide


biosynthesis


GO: 51093: negative
95
0.557
9
1.974
0.000987


regulation of


development


GO: 48511: rhythmic
96
0.562
9
1.974
0.00106


process


GO: 6633: fatty acid
97
0.568
9
1.974
0.00115


biosynthesis


GO: 16049: cell growth
299
1.752
18
3.947
0.00119


GO: 7154: cell
5403
31.65
175
38.38
0.00121


communication


GO: 8361: regulation of
303
1.775
18
3.947
0.00138


cell size


GO: 48729: tissue
82
0.48
8
1.754
0.00154


morphogenesis


GO: 6956: complement
48
0.281
6
1.316
0.00167


activation


GO: 45670: regulation of
20
0.117
4
0.877
0.00173


osteoclast differentiation


GO: 1501: skeletal
335
1.963
19
4.167
0.00175


development


GO: 8285: negative
361
2.115
20
4.386
0.00177


regulation of cell


proliferation


GO: 48741: skeletal
85
0.498
8
1.754
0.00195


muscle fiber development


GO: 48747: muscle fiber
85
0.498
8
1.754
0.00195


development


GO: 45747: positive
10
0.0586
3
0.658
0.00198


regulation of Notch


signaling pathway


GO: 6982: response to
3
0.0176
2
0.439
0.0021


lipid hydroperoxide


GO: 42749: regulation of
3
0.0176
2
0.439
0.0021


circadian sleep/wake


cycle


GO: 45187: regulation of
3
0.0176
2
0.439
0.0021


circadian sleep/wake


cycle, sleep


GO: 50802: circadian
3
0.0176
2
0.439
0.0021


sleep/wake cycle, sleep


GO: 16053: organic acid
106
0.621
9
1.974
0.00213


biosynthesis


GO: 46394: carboxylic
106
0.621
9
1.974
0.00213


acid biosynthesis


GO: 79: regulation of
69
0.404
7
1.535
0.0024


cyclin dependent protein


kinase activity


GO: 6631: fatty acid
244
1.429
15
3.289
0.00243


metabolism


GO: 45428: regulation of
22
0.129
4
0.877
0.00251


nitric oxide biosynthesis


GO: 186: activation of
22
0.129
4
0.877
0.00251


MAPKK activity


GO: 9605: response to
1153
6.755
47
10.31
0.00252


external stimulus


GO: 48637: skeletal
89
0.521
8
1.754
0.0026


muscle development


GO: 2011: morphogenesis
11
0.0644
3
0.658
0.00266


of an epithelial sheet


GO: 30097: hemopoiesis
298
1.746
17
3.728
0.00283


GO: 80: G1 phase of
37
0.217
5
1.096
0.00287


mitotic cell cycle


GO: 30316: osteoclast
23
0.135
4
0.877
0.00297


differentiation


GO: 7165: signal
4308
25.24
141
30.92
0.00321


transduction


GO: 6118: electron
434
2.543
22
4.825
0.00322


transport


GO: 9613: response to
778
4.558
34
7.456
0.00343


pest, pathogen or parasite


GO: 43118: negative
1613
9.45
61
13.38
0.00344


regulation of


physiological process


GO: 50874: organismal
3071
17.99
105
23.03
0.00345


physiological process


GO: 6955: immune
1298
7.604
51
11.18
0.00353


response


GO: 50896: response to
3151
18.46
107
23.46
0.00389


stimulus


GO: 45859: regulation of
283
1.658
16
3.509
0.00405


protein kinase activity


GO: 16572: histone
4
0.0234
2
0.439
0.00412


phosphorylation


GO: 9441: glycolate
4
0.0234
2
0.439
0.00412


metabolism


GO: 42752: regulation of
4
0.0234
2
0.439
0.00412


circadian rhythm


GO: 51338: regulation of
284
1.664
16
3.509
0.00419


transferase activity


GO: 8015: circulation
235
1.377
14
3.07
0.00441


GO: 6379: mRNA
13
0.0762
3
0.658
0.00444


cleavage


GO: 45655: regulation of
26
0.152
4
0.877
0.00471


monocyte differentiation


GO: 42417: dopamine
26
0.152
4
0.877
0.00471


metabolism


GO: 45786: negative
367
2.15
19
4.167
0.00478


regulation of progression


through cell cycle


GO: 48534: hemopoietic
314
1.84
17
3.728
0.00479


or lymphoid organ


development


GO: 51243: negative
1574
9.221
59
12.94
0.00485


regulation of cellular


physiological process


GO: 45595: regulation of
238
1.394
14
3.07
0.00493


cell differentiation


GO: 8277: regulation of
60
0.352
6
1.316
0.00521


G-protein coupled


receptor protein signaling


pathway


GO: 6357: regulation of
775
4.54
33
7.237
0.00576


transcription from RNA


polymerase II promoter


GO: 1525: angiogenesis
218
1.277
13
2.851
0.00592


GO: 43207: response to
812
4.757
34
7.456
0.00655


external biotic stimulus


GO: 45639: positive
45
0.264
5
1.096
0.00675


regulation of myeloid cell


differentiation


GO: 51260: protein
45
0.264
5
1.096
0.00675


homooligomerization


GO: 51318: G1 phase
45
0.264
5
1.096
0.00675


GO: 30216: keratinocyte
47
0.275
5
1.096
0.00812


differentiation


GO: 42491: auditory
16
0.0937
3
0.658
0.00819


receptor cell


differentiation


GO: 42135:
16
0.0937
3
0.658
0.00819


neurotransmitter


catabolism


GO: 7169: transmembrane
334
1.957
17
3.728
0.00867


receptor protein tyrosine


kinase signaling pathway


GO: 6952: defense
1394
8.167
52
11.4
0.00884


response


GO: 48730: epidermis
48
0.281
5
1.096
0.00887


morphogenesis


GO: 1568: blood vessel
283
1.658
15
3.289
0.00936


development


GO: 42221: response to
623
3.65
27
5.921
0.00959


chemical stimulus


GO: 45446: endothelial
17
0.0996
3
0.658
0.00975


cell differentiation


GO: 48009: insulin-like
17
0.0996
3
0.658
0.00975


growth factor receptor


signaling pathway


GO: 9891: positive
90
0.527
7
1.535
0.0103


regulation of biosynthesis


GO: 1944: vasculature
288
1.687
15
3.289
0.0109


development


GO: 8286: insulin receptor
70
0.41
6
1.316
0.0109


signaling pathway


GO: 6366: transcription
1094
6.409
42
9.211
0.0115


from RNA polymerase II


promoter


GO: 50789: regulation of
5971
34.98
183
40.13
0.0116


biological process


GO: 43122: regulation of
162
0.949
10
2.193
0.0118


I-kappaB kinase/NF-


kappaB cascade


GO: 7500: mesodermal
7
0.041
2
0.439
0.0137


cell fate determination


GO: 45672: positive
7
0.041
2
0.439
0.0137


regulation of osteoclast


differentiation


GO: 42448: progesterone
7
0.041
2
0.439
0.0137


metabolism


GO: 17145: stem cell
7
0.041
2
0.439
0.0137


division


GO: 50847: progesterone
7
0.041
2
0.439
0.0137


receptor signaling


pathway


GO: 50791: regulation of
5273
30.89
163
35.75
0.0139


physiological process


GO: 1822: kidney
54
0.316
5
1.096
0.0144


development


GO: 2009: morphogenesis
143
0.838
9
1.974
0.0147


of an epithelium


GO: 7160: cell-matrix
143
0.838
9
1.974
0.0147


adhesion


GO: 48514: blood vessel
245
1.435
13
2.851
0.0148


morphogenesis


GO: 42330: taxis
193
1.131
11
2.412
0.0149


GO: 6935: chemotaxis
193
1.131
11
2.412
0.0149


GO: 35315: hair cell
20
0.117
3
0.658
0.0154


differentiation


GO: 42133:
55
0.322
5
1.096
0.0155


neurotransmitter


metabolism


GO: 7166: cell surface
1904
11.15
66
14.47
0.016


receptor linked signal


transduction


GO: 48469: cell
145
0.849
9
1.974
0.016


maturation


GO: 31589: cell-substrate
145
0.849
9
1.974
0.016


adhesion


GO: 7243: protein kinase
591
3.462
25
5.482
0.0163


cascade


GO: 9913: epidermal cell
37
0.217
4
0.877
0.0166


differentiation


GO: 9887: organ
868
5.085
34
7.456
0.0167


morphogenesis


GO: 7219: Notch
77
0.451
6
1.316
0.0169


signaling pathway


GO: 9967: positive
223
1.306
12
2.632
0.017


regulation of signal


transduction


GO: 7242: intracellular
1845
10.81
64
14.04
0.0174


signaling cascade


GO: 9607: response to
1448
8.483
52
11.4
0.0174


biotic stimulus


GO: 7167: enzyme linked
476
2.789
21
4.605
0.0175


receptor protein signaling


pathway


GO: 6629: lipid
935
5.478
36
7.895
0.0178


metabolism


GO: 48333: mesodermal
8
0.0469
2
0.439
0.0179


cell differentiation


GO: 1710: mesodermal
8
0.0469
2
0.439
0.0179


cell fate commitment


GO: 45657: positive
8
0.0469
2
0.439
0.0179


regulation of monocyte


differentiation


GO: 42420: dopamine
8
0.0469
2
0.439
0.0179


catabolism


GO: 42424:
8
0.0469
2
0.439
0.0179


catecholamine catabolism


GO: 42572: retinol
8
0.0469
2
0.439
0.0179


metabolism


GO: 48512: circadian
8
0.0469
2
0.439
0.0179


behavior


GO: 42745: circadian
8
0.0469
2
0.439
0.0179


sleep/wake cycle


GO: 43124: negative
8
0.0469
2
0.439
0.0179


regulation of I-kappaB


kinase/NF-kappaB


cascade


GO: 7050: cell cycle
148
0.867
9
1.974
0.018


arrest


GO: 48332: mesoderm
38
0.223
4
0.877
0.0181


morphogenesis


GO: 902: cellular
720
4.218
29
6.36
0.0186


morphogenesis


GO: 1657: ureteric bud
40
0.234
4
0.877
0.0215


development


GO: 6584: catecholamine
40
0.234
4
0.877
0.0215


metabolism


GO: 46209: nitric oxide
40
0.234
4
0.877
0.0215


metabolism


GO: 6809: nitric oxide
40
0.234
4
0.877
0.0215


biosynthesis


GO: 45445: myoblast
60
0.352
5
1.096
0.0218


differentiation


GO: 51239: regulation of
371
2.174
17
3.728
0.0222


organismal physiological


process


GO: 30431: sleep
9
0.0527
2
0.439
0.0226


GO: 9611: response to
672
3.937
27
5.921
0.0233


wounding


GO: 1655: urogenital
61
0.357
5
1.096
0.0233


system development


GO: 18958: phenol
41
0.24
4
0.877
0.0234


metabolism


GO: 7249: I-kappaB
207
1.213
11
2.412
0.0236


kinase/NF-kappaB


cascade


GO: 51348: negative
84
0.492
6
1.316
0.0249


regulation of transferase


activity


GO: 6469: negative
84
0.492
6
1.316
0.0249


regulation of protein


kinase activity


GO: 9190: cyclic
42
0.246
4
0.877
0.0253


nucleotide biosynthesis


GO: 42490:
24
0.141
3
0.658
0.0253


mechanoreceptor


differentiation


GO: 6950: response to
1752
10.26
60
13.16
0.0265


stress


GO: 42078: germ-line
1
0.00586
1
0.219
0.0267


stem cell division


GO: 48133: male germ-
1
0.00586
1
0.219
0.0267


line stem cell division


GO: 48319: axial
1
0.00586
1
0.219
0.0267


mesoderm morphogenesis


GO: 50872: white fat cell
1
0.00586
1
0.219
0.0267


differentiation


GO: 7423: sensory organ
1
0.00586
1
0.219
0.0267


development


GO: 46439: L-cysteine
1
0.00586
1
0.219
0.0267


metabolism


GO: 6701: progesterone
1
0.00586
1
0.219
0.0267


biosynthesis


GO: 48178: negative
1
0.00586
1
0.219
0.0267


regulation of hepatocyte


growth factor


biosynthesis


GO: 48176: regulation of
1
0.00586
1
0.219
0.0267


hepatocyte growth factor


biosynthesis


GO: 48175: hepatocyte
1
0.00586
1
0.219
0.0267


growth factor


biosynthesis


GO: 42362: fat-soluble
1
0.00586
1
0.219
0.0267


vitamin biosynthesis


GO: 35238: vitamin A
1
0.00586
1
0.219
0.0267


biosynthesis


GO: 42904: 9-cis-retinoic
1
0.00586
1
0.219
0.0267


acid biosynthesis


GO: 42412: taurine
1
0.00586
1
0.219
0.0267


biosynthesis


GO: 46022: positive
1
0.00586
1
0.219
0.0267


regulation of transcription


from RNA polymerase II


promoter, mitotic


GO: 46021: regulation of
1
0.00586
1
0.219
0.0267


transcription from RNA


polymerase II promoter,


mitotic


GO: 45896: regulation of
1
0.00586
1
0.219
0.0267


transcription, mitotic


GO: 45897: positive
1
0.00586
1
0.219
0.0267


regulation of


transcription, mitotic


GO: 19530: taurine
1
0.00586
1
0.219
0.0267


metabolism


GO: 42905: 9-cis-retinoic
1
0.00586
1
0.219
0.0267


acid metabolism


GO: 1887: selenium
1
0.00586
1
0.219
0.0267


metabolism


GO: 50783: cocaine
1
0.00586
1
0.219
0.0267


metabolism


GO: 8633: activation of
1
0.00586
1
0.219
0.0267


pro-apoptotic gene


products


GO: 45746: negative
1
0.00586
1
0.219
0.0267


regulation of Notch


signaling pathway


GO: 50794: regulation of
5521
32.35
167
36.62
0.0278


cellular process


GO: 31269:
10
0.0586
2
0.439
0.0278


pseudopodium formation


GO: 31272: regulation of
10
0.0586
2
0.439
0.0278


pseudopodium formation


GO: 31274: positive
10
0.0586
2
0.439
0.0278


regulation of


pseudopodium formation


GO: 31268:
10
0.0586
2
0.439
0.0278


pseudopodium


organization and


biogenesis


GO: 7622: rhythmic
10
0.0586
2
0.439
0.0278


behavior


GO: 30278: regulation of
25
0.146
3
0.658
0.0282


ossification


GO: 7528: neuromuscular
25
0.146
3
0.658
0.0282


junction development


GO: 6979: response to
87
0.51
6
1.316
0.0289


oxidative stress


GO: 8154: actin
111
0.65
7
1.535
0.0293


polymerization and/or


depolymerization


GO: 30224: monocyte
44
0.258
4
0.877
0.0294


differentiation


GO: 7422: peripheral
26
0.152
3
0.658
0.0312


nervous system


development


GO: 30178: negative
26
0.152
3
0.658
0.0312


regulation of Wnt


receptor signaling


pathway


GO: 8284: positive
332
1.945
15
3.289
0.0339


regulation of cell


proliferation


GO: 1656: metanephros
46
0.269
4
0.877
0.034


development


GO: 46850: regulation of
27
0.158
3
0.658
0.0345


bone remodeling


GO: 51259: protein
91
0.533
6
1.316
0.035


oligomerization


GO: 7049: cell cycle
1384
8.108
48
10.53
0.0373


GO: 6171: cAMP
28
0.164
3
0.658
0.0379


biosynthesis


GO: 19752: carboxylic
736
4.312
28
6.14
0.0387


acid metabolism


GO: 30855: epithelial cell
70
0.41
5
1.096
0.0391


differentiation


GO: 31346: positive
12
0.0703
2
0.439
0.0394


regulation of cell


projection organization


and biogenesis


GO: 48731: system
1158
6.784
41
8.991
0.0396


development


GO: 6082: organic acid
738
4.324
28
6.14
0.0398


metabolism


GO: 17148: negative
29
0.17
3
0.658
0.0414


regulation of protein


biosynthesis


GO: 9628: response to
775
4.54
29
6.36
0.0428


abiotic stimulus


GO: 6959: humoral
258
1.512
12
2.632
0.045


immune response


GO: 302: response to
30
0.176
3
0.658
0.0451


reactive oxygen species


GO: 45087: innate
73
0.428
5
1.096
0.0455


immune response


GO: 46627: negative
13
0.0762
2
0.439
0.0457


regulation of insulin


receptor signaling


pathway


GO: 30041: actin filament
51
0.299
4
0.877
0.0469


polymerization


GO: 7519: striated muscle
150
0.879
8
1.754
0.0484


development









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Claims
  • 1-11. (canceled)
  • 12. A method of treating an individual who has an injury involving nerve cells or a degenerative disease comprising the step of administering a plurality of stem cells to said individual in an amount effective and at a site effective to provide a therapeutic benefit to the individual; wherein said plurality of stem cells are prepared by a process comprising (i) maintaining said stem cells in a monolayer, (ii) subsequently entrapping said stem cells in a biostructure, wherein the biostructure comprises a modified alginate that comprises at least one alginate chain section to which is bonded by covalent bonding at least one cell attachment peptide and said modified alginate comprises no more than 500 EU/g of endotoxin, and (iii) isolating said stem cells from said biostructure.
  • 13. The method of claim 12 wherein the individual has an injury involving nerve damage.
  • 14. The method of claim 12 wherein the individual has a neurological disorder.
  • 15. The method of claim 12 wherein the individual has a degenerative disease selected from the group consisting of Alzheimer's Disease; Amyotrophic Lateral Sclerosis, i.e., Lou Gehrig's Disease; Atherosclerosis; Cancer; Diabetes, Heart Disease; Huntington's disease; Inflammatory Bowel Disease; mucopolysaccharidosis; Multiple Sclerosis; Norrie disease; Parkinson's Disease; Prostatitis; Osteoarthritis; Osteoporosis; Shy-Drager syndrome; and Stroke.
  • 16. The method of claim 12, wherein said biostructure is a gel, foam, bead, scaffold, fibre, felt, sponge or combinations thereof.
  • 17. The method of claim 12, wherein said cell attachment peptide contains one or more RGD sequences.
  • 18. The method of claim 12, wherein said stem cells are mesenchymal stem cells.
  • 19. The method of claim 12, wherein said stem cells are isolated from said biostructure by adding at least one cation binding agent to said biostructure.
  • 20. The method of claim 12, wherein said injury involves nerve cells.
  • 21. The method of claim 15, wherein said disease is selected from the group consisting of Amyotrophic Lateral Sclerosis, Multiple sclerosis and Parkinson's disease.
  • 22. The method of claim 12, wherein said administration is systemic.
  • 23. The method of claim 12, wherein said administration is by injection.
  • 24. The method of claim 12, wherein said administration is delivered intravenously, intrathecally or subcutaneously.
  • 25. The method of the previous claim, wherein said administration is delivered to a spinal column or nerve pathway.
Provisional Applications (2)
Number Date Country
60943821 Jun 2007 US
61013145 Dec 2007 US
Divisions (1)
Number Date Country
Parent 12663945 May 2010 US
Child 13494623 US