ABSTRACT
Primary human trophoblast stem cells (TSCs) and TSCs derived from human pluripotent stem cells (hPSCs) can potentially model placental processes in vitro. Yet, the pluripotent states and factors involved in the differentiation of hPSCs to TSCs remain poorly understood. In this study, we demonstrate that the primed pluripotent state can generate TSCs by activating pathways such as Epidermal Growth Factor (EGF) and Wingless-related integration site (WNT), and by suppressing tumor growth factor beta (TGFß), histone deacetylases (HDAC), and Rho-associated protein kinase (ROCK) signaling pathways, all without the addition of exogenous Bone morphogenetic protein 4 (BMP4)-a condition we refer to as the TS condition. We characterized this process using temporal single-cell RNA sequencing to compare TS conditions with differentiation protocols involving BMP4 activation alone or BMP4 activation in conjunction with WNT inhibition. The TS condition consistently produced a stable, proliferative cell type that closely mimics first-trimester placental cytotrophoblasts, marked by the activation of endogenous retroviral genes and the absence of amnion expression. This was observed across multiple cell lines, including various primed induced pluripotent stem cell (iPSC) and embryonic stem cell (ESC) lines. Primed-derived TSCs can proliferate for over 30 passages and further specify into multinucleated syncytiotrophoblasts and extravillous trophoblast cells. Our research establishes that the differentiation of primed hPSCs to TSC under TS conditions triggers the induction of TMSB4X, BMP5/7, GATA3, and TFAP2A without progressing through a naive state. These findings propose that the primed hPSC state is part of a continuum of potency with the capacity to differentiate into TSCs through multiple routes.
Subject(s)
Induced Pluripotent Stem Cells , Pluripotent Stem Cells , Humans , Female , Pregnancy , Placenta , Cell Differentiation/genetics , Trophoblasts/metabolism , Bone Morphogenetic Protein 5/metabolismABSTRACT
Schizophrenia is a neurodevelopmental psychiatric disorder, encompassing genetic and environmental risk factors. For several decades, investigators have been implementing the use of lesions of the neonatal rodent hippocampus to model schizophrenia, resulting in a broad spectrum of adult schizophrenia-related behavioral changes. Despite the extensive use of these proposed animal models of schizophrenia, the mechanisms by which these lesions result in schizophrenia-like behavioral alterations remain unclear. Here we provide in vivo evidence that transient pharmacological inactivation of the hippocampus via tetrodotoxin microinjections or a genetic reduction in brain derived neurotrophic factor (BDNF) protein levels (BDNF+/- rats) lead to global DNA hypomethylation, disrupted maturation of the neuronal nucleus and aberrant acoustic startle response in the adult rat. The similarity between the effects of the two treatments strongly indicate that BDNF signaling is involved in effects obtained after the TTX microinjections. These findings may shed light on the cellular mechanisms underlying the phenotypical features of neonatal transient inhibition of the hippocampus as a preclinical model of schizophrenia and suggest that BDNF signaling represents a target pathway for development of novel treatment therapies.
Subject(s)
Behavior, Animal/physiology , Brain-Derived Neurotrophic Factor/deficiency , DNA Methylation/physiology , DNA/metabolism , Hippocampus/metabolism , Animals , Animals, Newborn , Brain-Derived Neurotrophic Factor/metabolism , Neurons/metabolism , Rats , Reflex, Startle/genetics , Reflex, Startle/physiology , Schizophrenia/genetics , Schizophrenia/metabolismABSTRACT
Better understanding of the progression of neural stem cells (NSCs) in the developing cerebral cortex is important for modeling neurogenesis and defining the pathogenesis of neuropsychiatric disorders. Here, we use RNA sequencing, cell imaging, and lineage tracing of mouse and human in vitro NSCs and monkey brain sections to model the generation of cortical neuronal fates. We show that conserved signaling mechanisms regulate the acute transition from proliferative NSCs to committed glutamatergic excitatory neurons. As human telencephalic NSCs develop from pluripotency in vitro, they transition through organizer states that spatially pattern the cortex before generating glutamatergic precursor fates. NSCs derived from multiple human pluripotent lines vary in these early patterning states, leading differentially to dorsal or ventral telencephalic fates. This work furthers systematic analyses of the earliest patterning events that generate the major neuronal trajectories of the human telencephalon.
Subject(s)
Embryonic Stem Cells/metabolism , Neural Stem Cells/cytology , Neurogenesis/physiology , Neurons/metabolism , Cell Differentiation/physiology , Cells, Cultured , Humans , Induced Pluripotent Stem Cells/metabolism , Signal Transduction/physiologyABSTRACT
Human induced pluripotent stem cells (hiPSCs) are a powerful model of neural differentiation and maturation. We present a hiPSC transcriptomics resource on corticogenesis from 5 iPSC donor and 13 subclonal lines across 9 time points over 5 broad conditions: self-renewal, early neuronal differentiation, neural precursor cells (NPCs), assembled rosettes, and differentiated neuronal cells. We identify widespread changes in the expression of both individual features and global patterns of transcription. We next demonstrate that co-culturing human NPCs with rodent astrocytes results in mutually synergistic maturation, and that cell type-specific expression data can be extracted using only sequencing read alignments without cell sorting. We lastly adapt a previously generated RNA deconvolution approach to single-cell expression data to estimate the relative neuronal maturity of iPSC-derived neuronal cultures and human brain tissue. Using many public datasets, we demonstrate neuronal cultures are maturationally heterogeneous but contain subsets of neurons more mature than previously observed.
Subject(s)
Cell Differentiation/genetics , Induced Pluripotent Stem Cells/cytology , Induced Pluripotent Stem Cells/physiology , Neural Stem Cells/physiology , Transcriptome , Algorithms , Animals , Astrocytes/cytology , Cells, Cultured , Cerebral Cortex/cytology , Coculture Techniques , Databases, Genetic , Gene Expression Regulation , Humans , Models, Neurological , Neural Stem Cells/cytology , Neurons/cytology , Neurons/physiology , RatsABSTRACT
The cerebellum, a derivative of the hindbrain, plays a crucial role in balance and posture as well as in higher cognitive and locomotive processes. Cerebellar development is initiated during the segmental phase of hindbrain formation. Here, we describe the phenotype, of a single surviving adult conditional mouse mutant mouse, in which Sox2 function is ablated in embryonic radial glial cells by means of hGFAP-CRE. The single Sox2RGINV/mosaic adult mutant mouse displays motor disability, microsomia, reduced Central Nervous System (CNS) size and cerebellar defects associated with human genetically related congenital abnormalities.
ABSTRACT
Due to increased interest in As(III) S-adenosylmethionine methyltransferase (AS3MT), a search for chemical probes that can help elucidate function was initiated. A homology model was built based on related enzymes, and virtual screening produced 426 potential hits. Evaluation of these compounds in a functional enzymatic assay revealed several modest inhibitors including an O-substituted 2-amino-3-cyano indole scaffold. Two iterations of near neighbor searches revealed compound 5 as a potent inhibitor of AS3MT with good selectivity over representative methyltransferases DOT1L and NSD2 as well as a representative set of diverse receptors. Compound 5 should prove to be a useful tool to investigate the role of AS3MT and a potential starting point for further optimization.
Subject(s)
Enzyme Inhibitors/pharmacology , Methyltransferases/antagonists & inhibitors , HumansABSTRACT
Use of human pluripotent stem cells (hPSCs) and their differentiated derivatives have led to recent proof-of-principle drug discoveries, defining a pathway to the implementation of hPSC-based drug discovery (hPDD). Current hPDD strategies, however, have inevitable conceptual biases and technological limitations, including the dimensionality of cell-culture methods, cell maturity and functionality, experimental variability, and data reproducibility. In this review, we dissect representative hPDD systems via analysis of hPSC-based 2D-monolayers, 3D culture, and organoids. We discuss mechanisms of drug discovery and drug repurposing, and roles of membrane drug transporters in tissue maturation and hPDD using the example of drugs that target various mutations of CFTR, the cystic fibrosis transmembrane conductance regulator gene, in patients with cystic fibrosis.
Subject(s)
Cell Culture Techniques/methods , Drug Development/methods , Drug Discovery/methods , Pluripotent Stem Cells/drug effects , ATP-Binding Cassette Transporters/metabolism , Animals , Cell Culture Techniques/instrumentation , Cystic Fibrosis/drug therapy , Cystic Fibrosis/genetics , Cystic Fibrosis/metabolism , Cystic Fibrosis Transmembrane Conductance Regulator/genetics , Cystic Fibrosis Transmembrane Conductance Regulator/metabolism , Drug Development/instrumentation , Drug Discovery/instrumentation , Humans , Molecular Targeted Therapy/methods , Organoids/cytology , Organoids/drug effects , Organoids/metabolism , Pluripotent Stem Cells/cytology , Pluripotent Stem Cells/metabolismABSTRACT
Lineage commitment and differentiation of skeletal stem cells/bone marrow stromal cells (SSCs/BMSCs, often called bone marrow-derived "mesenchymal stem/stromal" cells) offer an important opportunity to study skeletal and hematopoietic diseases, and for tissue engineering and regenerative medicine. Currently, many studies in this field have relied on cell lineage tracing methods in mouse models, which have provided a significant advancement in our knowledge of skeletal and hematopoietic stem-cell niches in bone marrow (BM). However, there is a lack of agreement in numerous fundamental areas, including origins of various BM stem-cell niches, cell identities, and their physiological roles in the BM. In order to resolve these issues, we propose a new hypothesis of "paralogous" stem-cell niches (PSNs); that is, progressively altered parallel niches within an individual species throughout the life span of the organism. A putative PSN code seems to be plausible based on analysis of transcriptional signatures in two representative genes that encode Nes-GFP and leptin receptors, which are frequently used to monitor SSC lineage development in BM. Furthermore, we suggest a dynamic paralogous BM niche (PBMN) model that elucidates the coupling and uncoupling mechanisms between BM stem-cell niches and their zones of active regeneration during different developmental stages. Elucidation of these PBMNs would enable us to resolve the existing controversies, thus paving the way to achieving precision regenerative medicine and pharmaceutical applications based on these BM cell resources. Stem Cells 2018;36:11-21.
Subject(s)
Bone Marrow/metabolism , Hematopoietic Stem Cells/metabolism , Stem Cell Niche/genetics , Stem Cells/metabolism , Cell Differentiation , Cell Lineage , HumansABSTRACT
SUMMARY: Non-negative Matrix Factorization (NMF) algorithms associate gene expression with biological processes (e.g. time-course dynamics or disease subtypes). Compared with univariate associations, the relative weights of NMF solutions can obscure biomarkers. Therefore, we developed a novel patternMarkers statistic to extract genes for biological validation and enhanced visualization of NMF results. Finding novel and unbiased gene markers with patternMarkers requires whole-genome data. Therefore, we also developed Genome-Wide CoGAPS Analysis in Parallel Sets (GWCoGAPS), the first robust whole genome Bayesian NMF using the sparse, MCMC algorithm, CoGAPS. Additionally, a manual version of the GWCoGAPS algorithm contains analytic and visualization tools including patternMatcher, a Shiny web application. The decomposition in the manual pipeline can be replaced with any NMF algorithm, for further generalization of the software. Using these tools, we find granular brain-region and cell-type specific signatures with corresponding biomarkers in GTEx data, illustrating GWCoGAPS and patternMarkers ascertainment of data-driven biomarkers from whole-genome data. AVAILABILITY AND IMPLEMENTATION: PatternMarkers & GWCoGAPS are in the CoGAPS Bioconductor package (3.5) under the GPL license. CONTACT: gsteinobrien@jhmi.edu or ccolantu@jhmi.edu or ejfertig@jhmi.edu. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Subject(s)
Algorithms , Gene Expression Profiling/methods , Software , Bayes Theorem , Biomarkers , Humans , Sequence Analysis, RNA/methodsABSTRACT
Temporal and spatial control of gene expression can be achieved using an inducible system as a fundamental tool for regulated transcription in basic, applied and eventually in clinical research. We describe a novel "hit and run" inducible direct reprogramming approach. In a single step, 2 days post-transfection, transiently transfected Sox2(FLAG) under the Leu3p-αIPM inducible control (iSox2) triggers the activation of endogenous Sox2, redirecting primary astrocytes into abundant distinct nestin-positive radial glia cells. This technique introduces a unique novel tool for safe, rapid and efficient reprogramming amendable to regenerative medicine.
ABSTRACT
Genome-wide association studies (GWASs) have reported many single nucleotide polymorphisms (SNPs) associated with psychiatric disorders, but knowledge is lacking regarding molecular mechanisms. Here we show that risk alleles spanning multiple genes across the 10q24.32 schizophrenia-related locus are associated in the human brain selectively with an increase in the expression of both BLOC-1 related complex subunit 7 (BORCS7) and a previously uncharacterized, human-specific arsenite methyltransferase (AS3MT) isoform (AS3MT(d2d3)), which lacks arsenite methyltransferase activity and is more abundant in individuals with schizophrenia than in controls. Conditional-expression analysis suggests that BORCS7 and AS3MT(d2d3) signals are largely independent. GWAS risk SNPs across this region are linked with a variable number tandem repeat (VNTR) polymorphism in the first exon of AS3MT that is associated with the expression of AS3MT(d2d3) in samples from both Caucasians and African Americans. The VNTR genotype predicts promoter activity in luciferase assays, as well as DNA methylation within the AS3MT gene. Both AS3MT(d2d3) and BORCS7 are expressed in adult human neurons and astrocytes, and they are upregulated during human stem cell differentiation toward neuronal fates. Our results provide a molecular explanation for the prominent 10q24.32 locus association, including a novel and evolutionarily recent protein that is involved in early brain development and confers risk for psychiatric illness.
Subject(s)
Astrocytes/metabolism , Brain/metabolism , Carrier Proteins/genetics , Methyltransferases/genetics , Neurons/metabolism , RNA, Messenger/metabolism , Schizophrenia/genetics , Adolescent , Adult , Black or African American , Alleles , Bipolar Disorder/genetics , Bipolar Disorder/metabolism , Carrier Proteins/metabolism , Child , Child, Preschool , Chromosomes, Human, Pair 10/genetics , Cytoskeletal Proteins , DNA Methylation , Depressive Disorder, Major/genetics , Depressive Disorder, Major/metabolism , Female , Gene Expression Profiling , Genetic Predisposition to Disease , Genotype , Humans , Male , Methyltransferases/metabolism , Middle Aged , Minisatellite Repeats , Neurogenesis , Polymorphism, Genetic , Polymorphism, Single Nucleotide , Protein Isoforms , White People , Young AdultABSTRACT
Differentiating pluripotent cells from fibroblast progenitors is a potentially transformative tool in personalized medicine. We previously identified relatively greater success culturing dura-derived fibroblasts than scalp-derived fibroblasts from postmortem tissue. We hypothesized that these differences in culture success were related to epigenetic differences between the cultured fibroblasts by sampling location, and therefore generated genome-wide DNA methylation and transcriptome data on 11 intrinsically matched pairs of dural and scalp fibroblasts from donors across the lifespan (infant to 85 years). While these cultured fibroblasts were several generations removed from the primary tissue and morphologically indistinguishable, we found widespread epigenetic differences by sampling location at the single CpG (N = 101,989), region (N = 697), "block" (N = 243), and global spatial scales suggesting a strong epigenetic memory of original fibroblast location. Furthermore, many of these epigenetic differences manifested in the transcriptome, particularly at the region-level. We further identified 7,265 CpGs and 11 regions showing significant epigenetic memory related to the age of the donor, as well as an overall increased epigenetic variability, preferentially in scalp-derived fibroblasts-83% of loci were more variable in scalp, hypothesized to result from cumulative exposure to environmental stimuli in the primary tissue. By integrating publicly available DNA methylation datasets on individual cell populations in blood and brain, we identified significantly increased inter-individual variability in our scalp- and other skin-derived fibroblasts on a similar scale as epigenetic differences between different lineages of blood cells. Lastly, these epigenetic differences did not appear to be driven by somatic mutation--while we identified 64 probable de-novo variants across the 11 subjects, there was no association between mutation burden and age of the donor (p = 0.71). These results depict a strong component of epigenetic memory in cell culture from primary tissue, even after several generations of daughter cells, related to cell state and donor age.
Subject(s)
Epigenesis, Genetic , Fibroblasts/cytology , Fibroblasts/physiology , Adolescent , Adult , Age Factors , Aged , Aged, 80 and over , Cells, Cultured , Child , Child, Preschool , CpG Islands , DNA Methylation , Humans , Infant , Middle Aged , Polymorphism, Single Nucleotide , Scalp/cytology , Transcriptome , Young AdultABSTRACT
Loss of insulin-producing pancreatic islet ß-cells is a hallmark of type 1 diabetes. Several experimental paradigms demonstrate that these cells can, in principle, be regenerated from multiple endogenous sources using signaling pathways that are also used during pancreas development. A thorough understanding of these pathways will provide improved opportunities for therapeutic intervention. It is now appreciated that signaling pathways should not be seen as "on" or "off" but that the degree of activity may result in wildly different cellular outcomes. In addition to the degree of operation of a signaling pathway, noncanonical branches also play important roles. Thus, a pathway, once considered as "off" or "low" may actually be highly operational but may be using noncanonical branches. Such branches are only now revealing themselves as new tools to assay them are being generated. A formidable source of noncanonical signal transduction concepts is neural stem cells because these cells appear to have acquired unusual signaling interpretations to allow them to maintain their unique dual properties (self-renewal and multipotency). We discuss how such findings from the neural field can provide a blueprint for the identification of new molecular mechanisms regulating pancreatic biology, with a focus on Notch, Hes/Hey, and hedgehog pathways.
Subject(s)
Diabetes Mellitus, Type 1/therapy , Neural Stem Cells/physiology , Pancreas/physiology , Regeneration/physiology , Animals , Cell Differentiation/physiology , Hedgehog Proteins/physiology , Humans , Mice , Mice, Nude , Organogenesis/physiology , Pancreas/embryology , Signal Transduction/physiologyABSTRACT
As a group, we met to discuss the current challenges for creating meaningful patient-specific in vitro models to study brain disorders. Although the convergence of findings between laboratories and patient cohorts provided us confidence and optimism that hiPSC-based platforms will inform future drug discovery efforts, a number of critical technical challenges remain. This opinion piece outlines our collective views on the current state of hiPSC-based disease modeling and discusses what we see to be the critical objectives that must be addressed collectively as a field.
Subject(s)
Brain Diseases/pathology , Brain/pathology , Induced Pluripotent Stem Cells/pathology , Neurogenesis , Brain/drug effects , Brain/metabolism , Brain/physiopathology , Brain Diseases/drug therapy , Brain Diseases/genetics , Brain Diseases/physiopathology , Drug Discovery/methods , Humans , Induced Pluripotent Stem Cells/cytology , Induced Pluripotent Stem Cells/metabolism , Mosaicism , Precision Medicine/methodsABSTRACT
BACKGROUND: Genomic data production is at its highest level and continues to increase, making available novel primary data and existing public data to researchers for exploration. Here we explore the consequences of "batch" correction for biological discovery in two publicly available expression datasets. We consider this to include the estimation of and adjustment for wide-spread systematic heterogeneity in genomic measurements that is unrelated to the effects under study, whether it be technical or biological in nature. METHODS: We present three illustrative data analyses using surrogate variable analysis (SVA) and describe how to perform artifact discovery in light of natural heterogeneity within biological groups, secondary biological questions of interest, and non-linear treatment effects in a dataset profiling differentiating pluripotent cells (GSE32923) and another from human brain tissue (GSE30272). RESULTS: Careful specification of biological effects of interest is very important to factor-based approaches like SVA. We demonstrate greatly sharpened global and gene-specific differential expression across treatment groups in stem cell systems. Similarly, we demonstrate how to preserve major non-linear effects of age across the lifespan in the brain dataset. However, the gains in precisely defining known effects of interest come at the cost of much other information in the "cleaned" data, including sex, common copy number effects and sample or cell line-specific molecular behavior. CONCLUSIONS: Our analyses indicate that data "cleaning" can be an important component of high-throughput genomic data analysis when interrogating explicitly defined effects in the context of data affected by robust technical artifacts. However, caution should be exercised to avoid removing biological signal of interest. It is also important to note that open data exploration is not possible after such supervised "cleaning", because effects beyond those stipulated by the researcher may have been removed. With the goal of making these statistical algorithms more powerful and transparent to researchers in the biological sciences, we provide exploratory plots and accompanying R code for identifying and guiding "cleaning" process (https://github.com/andrewejaffe/StemCellSVA). The impact of these methods is significant enough that we have made newly processed data available for the brain data set at http://braincloud.jhmi.edu/plots/ and GSE30272.
Subject(s)
Algorithms , Brain/metabolism , Computational Biology/methods , Genome, Human , Genomics/methods , High-Throughput Nucleotide Sequencing/methods , Pluripotent Stem Cells/metabolism , Artifacts , Cell Differentiation , Gene Expression Profiling , Humans , Pluripotent Stem Cells/cytology , Regression AnalysisABSTRACT
UNLABELLED: Interest is great in the new molecular concepts that explain, at the level of signal transduction, the process of reprogramming. Usually, transcription factors with developmental importance are used, but these approaches give limited information on the signaling networks involved, which could reveal new therapeutic opportunities. Recent findings involving reprogramming by genetic means and soluble factors with well-studied downstream signaling mechanisms, including signal transducer and activator of transcription 3 (STAT3) and hairy and enhancer of split 3 (Hes3), shed new light into the molecular mechanisms that might be involved. We examine the appropriateness of common culture systems and their ability to reveal unusual (noncanonical) signal transduction pathways that actually operate in vivo. We then discuss such novel pathways and their importance in various plastic cell types, culminating in their emerging roles in reprogramming mechanisms. We also discuss a number of reprogramming paradigms (mouse induced pluripotent stem cells, direct conversion to neural stem cells, and in vivo conversion of acinar cells to ß-like cells). Specifically for acinar-to-ß-cell reprogramming paradigms, we discuss the common view of the underlying mechanism (involving the Janus kinase-STAT pathway that leads to STAT3-tyrosine phosphorylation) and present alternative interpretations that implicate STAT3-serine phosphorylation alone or serine and tyrosine phosphorylation occurring in sequential order. The implications for drug design and therapy are important given that different phosphorylation sites on STAT3 intercept different signaling pathways. We introduce a new molecular perspective in the field of reprogramming with broad implications in basic, biotechnological, and translational research. SIGNIFICANCE: Reprogramming is a powerful approach to change cell identity, with implications in both basic and applied biology. Most efforts involve the forced expression of key transcription factors, but recently, success has been reported with manipulating signal transduction pathways that might intercept them. It is important to start connecting the function of the classic reprogramming genes to signaling pathways that also mediate reprogramming, unifying the sciences of signal transduction, stem cell biology, and epigenetics. Neural stem cell studies have revealed the operation of noncanonical signaling pathways that are now appreciated to also operate during reprogramming, offering new mechanistic explanations.
Subject(s)
Cellular Reprogramming , DNA-Binding Proteins/biosynthesis , Neural Stem Cells/metabolism , STAT3 Transcription Factor/biosynthesis , Signal Transduction , Transcription Factors/biosynthesis , Animals , DNA-Binding Proteins/genetics , Humans , Neural Stem Cells/cytology , Repressor Proteins , STAT3 Transcription Factor/genetics , Transcription Factors/geneticsABSTRACT
Cell reprogramming promises to make characterization of the impact of human genetic variation on health and disease experimentally tractable by enabling the bridging of genotypes to phenotypes in developmentally relevant human cell lineages. Here we apply this paradigm to two disorders caused by symmetrical copy number variations of 7q11.23, which display a striking combination of shared and symmetrically opposite phenotypes--Williams-Beuren syndrome and 7q-microduplication syndrome. Through analysis of transgene-free patient-derived induced pluripotent stem cells and their differentiated derivatives, we find that 7q11.23 dosage imbalance disrupts transcriptional circuits in disease-relevant pathways beginning in the pluripotent state. These alterations are then selectively amplified upon differentiation of the pluripotent cells into disease-relevant lineages. A considerable proportion of this transcriptional dysregulation is specifically caused by dosage imbalances in GTF2I, which encodes a key transcription factor at 7q11.23 that is associated with the LSD1 repressive chromatin complex and silences its dosage-sensitive targets.
Subject(s)
Chromosomes, Human, Pair 7/genetics , DNA Copy Number Variations , Gene Expression Regulation/genetics , Pluripotent Stem Cells/physiology , Transcription Factors, TFII/genetics , Williams Syndrome/genetics , Cell Differentiation , Cell Lineage , Cohort Studies , Comparative Genomic Hybridization , Gene Dosage , Gene Duplication , Gene Expression Profiling , Histone Demethylases/genetics , Humans , Oligonucleotide Array Sequence Analysis , Phenotype , Pluripotent Stem Cells/pathology , Sequence Analysis, RNAABSTRACT
Naive mouse embryonic stem cells (mESCs) and primed epiblast stem cells (mEpiSCs) represent successive snapshots of pluripotency during embryogenesis. Using transcriptomic and epigenomic mapping we show that a small fraction of transcripts are differentially expressed between mESCs and mEpiSCs and that these genes show expected changes in chromatin at their promoters and enhancers. Unexpectedly, the cis-regulatory circuitry of genes that are expressed at identical levels between these cell states also differs dramatically. In mESCs, these genes are associated with dominant proximal enhancers and dormant distal enhancers, which we term seed enhancers. In mEpiSCs, the naive-dominant enhancers are lost, and the seed enhancers take up primary transcriptional control. Seed enhancers have increased sequence conservation and show preferential usage in downstream somatic tissues, often expanding into super enhancers. We propose that seed enhancers ensure proper enhancer utilization and transcriptional fidelity as mammalian cells transition from naive pluripotency to a somatic regulatory program.
Subject(s)
Embryonic Stem Cells/metabolism , Enhancer Elements, Genetic/genetics , Epigenesis, Genetic/genetics , Pluripotent Stem Cells/cytology , Pluripotent Stem Cells/metabolism , Animals , Cells, Cultured , Embryonic Stem Cells/cytology , MiceABSTRACT
The ability to differentiate induced pluripotent stem cells (iPSCs) into committed skeletal progenitors could allow for an unlimited autologous supply of such cells for therapeutic uses; therefore, we attempted to create novel bone-forming cells from human iPSCs using lines from two distinct tissue sources and methods of differentiation that we previously devised for osteogenic differentiation of human embryonic stem cells, and as suggested by other publications. The resulting cells were assayed using in vitro methods, and the results were compared with those obtained from in vivo transplantation assays. Our results show that true bone was formed in vivo by derivatives of several iPSC lines, but that the successful cell lines and differentiation methodologies were not predicted by the results of the in vitro assays. In addition, bone was formed equally well from iPSCs originating from skin or bone marrow stromal cells (also known as bone marrow-derived mesenchymal stem cells), suggesting that the iPSCs did not retain a "memory" of their previous life. Furthermore, one of the iPSC-derived cell lines formed verifiable cartilage in vivo, which likewise was not predicted by in vitro assays.