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Higher-order chromatin structure is emerging as an important regulator of gene expression. Although dynamic chromatin structures have been identified in the genome, the full scope of chromatin dynamics during mammalian development and lineage specification remains to be determined. By mapping genome-wide chromatin interactions in human embryonic stem (ES) cells and four human ES-cell-derived lineages, we uncover extensive chromatin reorganization during lineage specification. We observe that although self-associating chromatin domains are stable during differentiation, chromatin interactions both within and between domains change in a striking manner, altering 36% of active and inactive chromosomal compartments throughout the genome. By integrating chromatin interaction maps with haplotype-resolved epigenome and transcriptome data sets, we find widespread allelic bias in gene expression correlated with allele-biased chromatin states of linked promoters and distal enhancers. Our results therefore provide a global view of chromatin dynamics and a resource for studying long-range control of gene expression in distinct human cell lineages. An analysis of genome-wide chromatin interactions during human embryonic stem cell differentiation reveals changes in chromatic organization and simultaneously identifies allele-resolved chromatin structure and differences in gene expression during differentiation. Stem cell chromatin reorganization Higher-order chromatin structures are among the factors influencing gene expression, although how these structures evolve during differentiation and lineage specification in mammalian systems is still unclear. Bing Ren and colleagues have mapped the differences in genome-wide chromatin interactions between human embryonic stem cells and their differentiated progeny. They delineate biases in allelic gene expression that correlate with allele-biased chromatin interactions between distal enhancers and proximal promoters.

SCnorm normalizes single-cell RNA-seq data for improved downstream analyses such as differential expression and cell-state discrimination. The normalization of RNA-seq data is essential for accurate downstream inference, but the assumptions upon which most normalization methods are based are not applicable in the single-cell setting. Consequently, applying existing normalization methods to single-cell RNA-seq data introduces artifacts that bias downstream analyses. To address this, we introduce SCnorm for accurate and efficient normalization of single-cell RNA-seq data.

Genome engineering in human pluripotent stem cells (hPSCs) holds great promise for biomedical research and regenerative medicine. Recently, an RNA-guided, DNA-cleaving interference pathway from bacteria [the type II clustered, regularly interspaced, short palindromic repeats (CRISPR)-CRISPR-associated (Cas) pathway] has been adapted for use in eukaryotic cells, greatly facilitating genome editing. Only two CRISPR-Cas systems (from Streptococcus pyogenes and Streptococcus thermophilus), each with their own distinct targeting requirements and limitations, have been developed for genome editing thus far. Furthermore, limited information exists about homology-directed repair (HDR)-mediated gene targeting using long donor DNA templates in hPSCs with these systems. Here, using a distinct CRISPR-Cas system from Neisseria meningitidis , we demonstrate efficient targeting of an endogenous gene in three hPSC lines using HDR. The Cas9 RNA-guided endonuclease from N. meningitidis (NmCas9) recognizes a 5′-NNNNGATT-3′ protospacer adjacent motif (PAM) different from those recognized by Cas9 proteins from S. pyogenes and S. thermophilus (SpCas9 and StCas9, respectively). Similar to SpCas9, NmCas9 is able to use a single-guide RNA (sgRNA) to direct its activity. Because of its distinct protospacer adjacent motif, the N. meningitidis CRISPR-Cas machinery increases the sequence contexts amenable to RNA-directed genome editing.

Cardiac fibroblasts (CFs) play critical roles in heart development, homeostasis, and disease. The limited availability of human CFs from native heart impedes investigations of CF biology and their role in disease. Human pluripotent stem cells (hPSCs) provide a highly renewable and genetically defined cell source, but efficient methods to generate CFs from hPSCs have not been described. Here, we show differentiation of hPSCs using sequential modulation of Wnt and FGF signaling to generate second heart field progenitors that efficiently give rise to hPSC-CFs. The hPSC-CFs resemble native heart CFs in cell morphology, proliferation, gene expression, fibroblast marker expression, production of extracellular matrix and myofibroblast transformation induced by TGFβ1 and angiotensin II. Furthermore, hPSC-CFs exhibit a more embryonic phenotype when compared to fetal and adult primary human CFs. Co-culture of hPSC-CFs with hPSC-derived cardiomyocytes distinctly alters the electrophysiological properties of the cardiomyocytes compared to co-culture with dermal fibroblasts. The hPSC-CFs provide a powerful cell source for research, drug discovery, precision medicine, and therapeutic applications in cardiac regeneration. Cardiac fibroblasts (CFs) play critical roles in heart development, homeostasis, and disease. Here the authors efficiently differentiate human pluripotent stem cells through second heart field progenitors to CFs that exhibit features and functional properties similar to native CFs.

Reprogramming differentiated human cells to induced pluripotent stem (iPS) cells has applications in basic biology, drug development, and transplantation. Human iPS cell derivation previously required vectors that integrate into the genome, which can create mutations and limit the utility of the cells in both research and clinical applications. We describe the derivation of human iPS cells with the use of nonintegrating episomal vectors. After removal of the episome, iPS cells completely free of vector and transgene sequences are derived that are similar to human embryonic stem (ES) cells in proliferative and developmental potential. These results demonstrate that reprogramming human somatic cells does not require genomic integration or the continued presence of exogenous reprogramming factors and removes one obstacle to the clinical application of human iPS cells.

Human pluripotent stem cell-based in vitro models that reflect human physiology have the potential to reduce the number of drug failures in clinical trials and offer a cost-effective approach for assessing chemical safety. Here, human embryonic stem (ES) cell-derived neural progenitor cells, endothelial cells, mesenchymal stem cells, and microglia/macrophage precursors were combined on chemically defined polyethylene glycol hydrogels and cultured in serum-free medium to model cellular interactions within the developing brain. The precursors self-assembled into 3D neural constructs with diverse neuronal and glial populations, interconnected vascular networks, and ramified microglia. Replicate constructs were reproducible by RNA sequencing (RNA-Seq) and expressed neurogenesis, vasculature development, and microglia genes. Linear support vector machines were used to construct a predictive model from RNA-Seq data for 240 neural constructs treated with 34 toxic and 26 nontoxic chemicals. The predictive model was evaluated using two standard hold-out testing methods: a nearly unbiased leave-one-out cross-validation for the 60 training compounds and an unbiased blinded trial using a single hold-out set of 10 additional chemicals. The linear support vector produced an estimate for future data of 0.91 in the cross-validation experiment and correctly classified 9 of 10 chemicals in the blinded trial.

Several extrinsic signals such as LIF, BMP and Wnt can support the self-renewal and pluripotency of embryonic stem (ES) cells through regulating the “pluripotent genes.” A unique homeobox transcription factor, Nanog, is one of the key downstream effectors of these signals. Elevated level of Nanog can maintain the mouse ES cell self-renewal independent of LIF and enable human ES cell growth without feeder cells. In addition to the external signal pathways, intrinsic transcription factors such as FoxD3, P53 and Oct4 are also involved in regulating the expression of Nanog. Functionally, Nanog works together with other key pluripotent factors such as Oct4 and Sox2 to control a set of target genes that have important functions in ES cell pluripotency. These key factors form a regulatory network to support or limit each other's expression level, which maintains the properties of ES cells.

For the promise of human induced pluripotent stem cells (iPSCs) to be realized, it is necessary to ask if and how efficiently they may be differentiated to functional cells of various lineages. Here, we have directly compared the neural-differentiation capacity of human iPSCs and embryonic stem cells (ESCs). We have shown that human iPSCs use the same transcriptional network to generate neuroepithelia and functionally appropriate neuronal types over the same developmental time course as hESCs in response to the same set of morphogens; however, they do it with significantly reduced efficiency and increased variability. These results were consistent across iPSC lines and independent of the set of reprogramming transgenes used to derive iPSCs as well as the presence or absence of reprogramming transgenes in iPSCs. These findings, which show a need for improving differentiation potency of iPSCs, suggest the possibility of employing human iPSCs in pathological studies, therapeutic screening, and autologous cell transplantation.

Induced pluripotent stem cells (iPSCs) offer immense potential for regenerative medicine and studies of disease and development. Somatic cell reprogramming involves epigenomic reconfiguration, conferring iPSCs with characteristics similar to embryonic stem (ES) cells. However, it remains unknown how complete the reestablishment of ES-cell-like DNA methylation patterns is throughout the genome. Here we report the first whole-genome profiles of DNA methylation at single-base resolution in five human iPSC lines, along with methylomes of ES cells, somatic cells, and differentiated iPSCs and ES cells. iPSCs show significant reprogramming variability, including somatic memory and aberrant reprogramming of DNA methylation. iPSCs share megabase-scale differentially methylated regions proximal to centromeres and telomeres that display incomplete reprogramming of non-CG methylation, and differences in CG methylation and histone modifications. Lastly, differentiation of iPSCs into trophoblast cells revealed that errors in reprogramming CG methylation are transmitted at a high frequency, providing an iPSC reprogramming signature that is maintained after differentiation. Genetic abnormalities in iPS cells Epigenomic reprogramming of somatic cells to produce iPS (induced pluripotent stem) cells has important therapeutic potential and is the basis of potentially important disease models. Recent reports that the reprogramming and in vitro culture of iPS cells can induce genetic and epigenetic abnormalities raise concerns over the implications of these abnormalities for clinical applications of iPS cells. Three papers in this issue present genomics studies of human iPS and embryonic stem (ES) cells, and taken together, the results confirm that chromosomal, subchromosomal and single-base level anomalies do accumulate in iPS cells. Hussein et al . compare copy number alterations of early and intermediate passage human iPS cells and report a higher level of copy number variations associated with reprogramming. During moderate length culture, however, iPS cells undergo a selection process leading to a decreased mutation load equivalent to that seen in ES cells. Gore et al . report protein-coding point mutations in 22 human iPS cell lines reprogrammed using five different methods; some mutations were pre-existing in the somatic cells, others were new mutations linked to reprogramming. Lister et al . used whole-genome DNA methylation profiling of human ES, iPS and somatic progenitor cell lines to reveal 'hotspots' in the genomes of iPS cells that are aberrantly reprogrammed. Reprogramming of somatic cells to induce pluripotent cellular properties that closely resemble those of embryonic stem (ES) cells has important therapeutic potential. The first whole genome single-base resolution profiling of the DNA methylomes of several human ES cell, induced pluripotent stem cell (iPSC) and somatic progenitor lines shows that iPSCs are fundamentally distinct from ES cells, insofar as they manifest common, quantifiable epigenomic differences. These 'hotspots of aberrant reprogramming' might be potentially useful as diagnostic markers for incomplete iPSC reprogramming, for the characterization of the efficacy of different reprogramming techniques, and for screening the potential propagation of altered methylation states into derivative differentiated cells.

This protocol describes an EDTA-based passaging procedure to be used with chemically defined E8 medium that serves as a tool for basic and translational research into human pluripotent stem cells (PSCs). In this protocol, passaging one six-well or 10-cm plate of cells takes about 6–7 min. This enzyme-free protocol achieves maximum cell survival without enzyme neutralization, centrifugation or drug treatment. It also allows for higher throughput, requires minimal material and limits contamination. Here we describe how to produce a consistent E8 medium for routine maintenance and reprogramming and how to incorporate the EDTA-based passaging procedure into human induced PSC (iPSC) derivation, colony expansion, cryopreservation and teratoma formation. This protocol has been successful in routine cell expansion, and efficient for expanding large-volume cultures or a large number of cells with preferential dissociation of PSCs. Effective for all culture stages, this procedure provides a consistent and universal approach to passaging human PSCs in E8 medium.