Albumin-associated lipids regulate human embryonic stem cell self-renewal

Background

Although human embryonic stem cells (hESCs) hold great promise as a source of differentiated cells to treat several human diseases, many obstacles still need to be surmounted before this can become a reality. First among these, a robust chemically-defined system to expand hESCs in culture is still unavailable despite recent advances in the understanding of factors controlling hESC self-renewal.

Methodology/Principal Findings

In this study, we attempted to find new molecules that stimulate long term hESC self-renewal. In order to do this, we started from the observation that a commercially available serum replacement product has a strong positive effect on the expansion of undifferentiated hESCs when added to a previously reported chemically-defined medium. Subsequent experiments demonstrated that the active ingredient within the serum replacement is lipid-rich albumin. Furthermore, we show that this activity is trypsin-resistant, strongly suggesting that lipids and not albumin are responsible for the effect. Consistent with this, lipid-poor albumin shows no detectable activity. Finally, we identified the major lipids bound to the lipid-rich albumin and tested several lipid candidates for the effect.

Conclusions/Significance

Our discovery of the role played by albumin-associated lipids in stimulating hESC self-renewal constitutes a significant advance in the knowledge of how hESC pluripotency is maintained by extracellular factors and has important applications in the development of increasingly chemically defined hESC culture systems.     

Myc‐regulated microRNAs attenuate embryonic stem cell differentiation

Myc proteins are known to have an important function in stem cell maintenance. As Myc has been shown earlier to regulate microRNAs (miRNAs) involved in proliferation, we sought to determine whether c‐Myc also affects embryonic stem (ES) cell maintenance and differentiation through miRNAs. Using a quantitative primer‐extension PCR assay we identified miRNAs, including, miR‐141, miR‐200, and miR‐429 whose expression is regulated by c‐Myc in ES cells, but not in the differentiated and tumourigenic derivatives of ES cells. Chromatin immunoprecipitation analyses indicate that in ES cells c‐Myc binds proximal to genomic regions encoding the induced miRNAs. We used expression profiling and seed homology to identify genes specifically downregulated both by these miRNAs and by c‐Myc. We further show that the introduction of c‐Myc‐induced miRNAs into murine ES cells significantly attenuates the downregulation of pluripotency markers on induction of differentiation after withdrawal of the ES cell maintenance factor LIF. In contrast, knockdown of the endogenous miRNAs accelerate differentiation. Our data show that in ES cells c‐Myc acts, in part, through a subset of miRNAs to attenuate differentiation.     

PAUPAR and PAX6 sequentially regulate human embryonic stem cell cortical differentiation

Long noncoding RNAs (lncRNAs) play a wide range of roles in the epigenetic regulation of crucial biological processes, but the functions of lncRNAs in cortical development are poorly understood. Using human embryonic stem cell (hESC)-based 2D neural differentiation approach and 3D cerebral organoid system, we identified that the lncRNA PAUPAR, which is adjacent to PAX6, plays essential roles in cortical differentiation by interacting with PAX6 to regulate the expression of a large number of neural genes. Mechanistic studies showed that PAUPAR confers PAX6 proper binding sites on the target neural genes by directly binding the genomic regions of these genes. Moreover, PAX6 recruits the histone methyltransferase NSD1 through its C-terminal PST enrichment domain, then regulate H3K36 methylation and the expression of target genes. Collectively, our data reveal that the PAUPAR/PAX6/NSD1 complex plays a critical role in the epigenetic regulation of hESC cortical differentiation and highlight the importance of PAUPAR as an intrinsic regulator of cortical differentiation.     

Defining embryonic stem cell identity using differentiation-related microRNAs and their potential targets

Defining the identity of embryonic stem (ES) cells in quantitative molecular terms is a prerequisite to understanding their functional characteristics. Little is known about the role of microRNAs (miRNAs) in the regulation of ES cell identity. Statistical analysis of miRNA expression revealed unique expression signatures that could definitively classify mouse ES (mES), embryoid bodies (mEB), and somatic tissues. Analysis of these data sets also provides further confirmation of the nonrestrictive expression of miRNAs during murine development. Using combined genome-wide expression analyses of both miRNAs and mRNAs, we observed both negative and positive correlations in gene expression between miRNAs and their predicted targets. ES-specific miRNAs were positively correlated with their predicted targets, suggesting that mES-specific miRNAs may have a different role or mechanism in regulating their targets in mES maintenance or differentiation. The concept of cellular identity has changed with technology; this study redefines cellular identity by a generic statistical method of known dimension.     

Identification of microRNAs regulated by activin A in human embryonic stem cells

Human embryonic stem (hES) cells have the capacities to propagate for extended periods and to differentiate into cell types from all three germ layers both in vitro and in vivo. These characteristics of self‐renewal and pluripotency enable hES cells having the potential to provide an unlimited supply of different cell types for tissue replacement, drug screening, and functional genomics studies. The hES‐T3 cells with normal female karyotype cultured on either mouse embryonic fibroblasts (MEF) in hES medium (containing 4 ng/ml bFGF) (T3MF) or feeder‐free Matrigel in MEF‐conditioned medium (supplemented with additional 4 ng/ml bFGF) (T3CM) were found to express very similar profiles of mRNAs and microRNAs, indicating that the unlimited self‐renewal and pluripotency of hES cells can be maintained by continuing culture on these two conditions. However, the expression profiles, especially microRNAs, of the hES‐T3 cells cultured on Matrigel in hES medium supplemented with 4 ng/ml bFGF and 5 ng/ml activin A (T3BA) were found to be different from those of T3MF and T3CM cells. In T3BA cells, four hES cell‐specific microRNAs miR‐372, miR‐302d, miR‐367, and miR‐200c, as well as three other microRNAs miR‐199a, miR‐19a, and miR‐217, were found to be up‐regulated, whereas five miRNAs miR‐19b, miR‐221, miR‐222, let‐7b, and let‐7c were down‐regulated by activin A. Thirteen abundantly differentially expressed mRNAs, including NR4A2, ERBB4, CXCR4, PCDH9, TMEFF2, CD24, and COX6A1 genes, targeted by seven over‐expressed miRNAs were identified by inverse expression levels of these seven microRNAs to their target mRNAs in T3BA and T3CM cells. The NR4A2, ERBB4, and CXCR4 target genes were further found to be regulated by EGF and/or TNF. The 50 abundantly differentially expressed genes targeted by five under‐expressed miRNAs were also identified. The abundantly expressed mRNAs in T3BA and T3CM cells were also analyzed for the network and signaling pathways, and roles of activin A in cell proliferation and differentiation were found. These findings will help elucidate the complex signaling network which maintains the self‐renewal and pluripotency of hES cells. J. Cell. Biochem. 109: 93–102, 2010. © 2009 Wiley‐Liss, Inc.     

Cell-extracellular matrix interactions regulate neural differentiation of human embryonic stem cells

Background  

Interactions of cells with the extracellular matrix (ECM) are critical for the establishment and maintenance of stem cell self-renewal and differentiation. However, the ECM is a complex mixture of matrix molecules; little is known about the role of ECM components in human embryonic stem cell (hESC) differentiation into neural progenitors and neurons.     

Neurotrophins mediate human embryonic stem cell survival

Growth of human embryonic stem (hES) cells as a pluripotent population requires a balance between survival, proliferation and self-renewal signals. Here we demonstrate that hES cells express receptors of the tropomyosin-related kinase (TRK) family, which mediate antiapoptotic signals. We show that three TRK ligands, brain-derived neurotrophic factor, neurotrophin 3 and neurotrophin 4, are survival factors for hES cells. Addition of neurotrophins to hES cell cultures effects a 36-fold improvement in their clonal survival. hES cell cultures maintained in medium containing neurotrophins remain diploid and retain full developmental potency. In the presence of neurotrophins, TRK receptors in hES cells are phosphorylated; TRK receptor inhibition leads to hES cell apoptosis. The survival activity of neurotrophins in hES cells is mediated by the phosphatidylinositol-3-kinase pathway but not the mitogen-activated protein kinase pathway. Neurotrophins improve hES cell survival and may facilitate their manipulation and the development of high-throughput screens to identify factors responsible for hES cell differentiation.     

Challenges to human embryonic stem cell patents

The patenting of human embryonic stem (hES) cells has produced one of the most unusual and fraught situations in the history of science, ethics, and law. This Commentary examines legal and moral challenges to three foundational patents held by the Wisconsin Alumni Research Foundation (WARF). We conclude that, in the United States, technical challenges may, paradoxically, produce a stronger patent position for WARF. In the European Union, moral challenges mean confusion for member states. We demonstrate that hES cell intellectual property will be guided and bound by a welter of moral, technical, and legal inputs, with discrete national and jurisdictional dimensions.     

Derivation of human embryonic stem cell lines

Human embryonic stem cells (hESC) are undifferentiated cells derived from an early embryo that can grow in vitro indefinitely, while retaining their capability to differentiate into specialized somatic cell types. Over the last decade there has been great interest in derivation and culture of these cells, as they can potentially provide a supply of readily available differentiated cells and tissues of all types to be used for therapeutic purposes in cell transplantation in humans, as well as for other medical uses such as drug discovery. The source of hESC lines is usually excess human embryos from in vitro fertilization treatments, although novel ways of producing hESCs have been suggested recently. The actual methods of hESC derivation have not changed greatly since the first report by Thomson et al. in 1998 . However, the main emphasis over the last several years has been in finding defined conditions for derivation and culture of hESCs, because to enable the clinical use of hESC for cell transplantation, the use of animal derived biological components is no longer acceptable. For basic research, the aim is to replace even human derived materials with completely defined systems. In this paper we describe methods utilized in our laboratory for hESC derivation and describe two studies conducted in an attempt to improve derivation efficiency and to enable research outcomes to be achieved using fewer embryos.     

Population estimation of human embryonic stem cell cultures

Traditionally, the population of human embryonic stem cell (hESC) culture is estimated through haemacytometer counts, which include harvesting the cells and manually analyzing a fraction of an entire population. Obviously, through this highly invasive method, it is not possible to preserve any spatial information on the cell population. The goal of this study is to identify a fast and consistent method for in situ automated hESC population estimation to quantitatively estimate the cell growth. Therefore, cell cultures were fixed, stained, and their nuclei imaged through high‐resolution microscopy, and the images were processed with different image analysis techniques. The proposed method first identifies signal and background by computing an image specific threshold for image segmentation. By applying a morphological operator (watershed), we split most physically overlapping nuclei, leading to a pixel area distribution of isolated signal areas on the image. On the basis of this distribution, we derive a nucleus area model, describing the distribution of the area of cell debris, single nuclei, and small groups of connected nuclei. Through the model, we can give a quantitative estimation of the population. The focus of this study is on low‐density human embryonic stem cell populations; hence cultures were measured at days 2–3 after seeding. Compared with manual cell counts, the automatic method achieved higher accuracy with <6% error. © 2009 American Institute of Chemical Engineers Biotechnol. Prog., 2010