Human Naive Pluripotent Stem Cells Model X Chromosome Dampening and X Inactivation

Naive human embryonic stem cells (hESCs) can be derived from primed hESCs or directly from blastocysts, but their X chromosome state has remained unresolved. Here, we show that the inactive X chromosome (Xi) of primed hESCs was reactivated in naive culture conditions. Like cells of the blastocyst, the resulting naive cells contained two active X chromosomes with XIST expression and chromosome-wide transcriptional dampening and initiated XIST-mediated X inactivation upon differentiation. Both establishment of and exit from the naive state (differentiation) happened via an XIST-negative XaXaintermediate. Together, these findings identify a cell culture system for functionally exploring the two X chromosome dosage compensation processes in early human development: X dampening and X inactivation. However, remaining differences between naive hESCs and embryonic cells related to mono-allelic XIST expression and non-random X inactivation highlight the need for further culture improvement. As the naive state resets Xiabnormalities seen in primed hESCs, it may provide cells better suited for downstream applications

A protein assembly mediates Xist localization and gene silencing

Nuclear compartments have diverse roles in regulating gene expression, yet the molecular forces and components that drive compartment formation remain largely unclear. The long non-coding RNA Xist establishes an intra-chromosomal compartment by localizing at a high concentration in a territory spatially close to its transcription locus and binding diverse proteins to achieve X-chromosome inactivation (XCI). The XCI process therefore serves as a paradigm for understanding how RNA-mediated recruitment of various proteins induces a functional compartment. The properties of the inactive X (Xi)-compartment are known to change over time, because after initial Xist spreading and transcriptional shutoff a state is reached in which gene silencing remains stable even if Xist is turned off. Here we show that the Xist RNA-binding proteins PTBP1, MATR3, TDP-43 and CELF1 assemble on the multivalent E-repeat element of Xist and, via self-aggregation and heterotypic protein–protein interactions, form a condensate in the Xi. This condensate is required for gene silencing and for the anchoring of Xist to the Xi territory, and can be sustained in the absence of Xist. Notably, these E-repeat-binding proteins become essential coincident with transition to the Xist-independent XCI phase, indicating that the condensate seeded by the E-repeat underlies the developmental switch from Xist-dependence to Xist-independence. Taken together, our data show that Xist forms the Xi compartment by seeding a heteromeric condensate that consists of ubiquitous RNA-binding proteins, revealing an unanticipated mechanism for heritable gene silencing

Deconstructing Cell Fate Transition Dynamics and Epigenetic Heterogeneity using Single Cell Technology

The ability to create pluripotent stem cells (PSCs) from any tissue by a process called reprogramming (yielding induced pluripotent stem cells, iPSCs) has ushered in an era of personalized medicine. However, reprogramming protocols are not trivial and are nearly always inefficient, often yielding an efficiency of less than 0.1%. Similar low efficiencies occur for many of the forward differentiation protocols, where it is also a major question which cell types are made and how they compare to the cells present in vivo. In this work, we applied single cell RNA-sequencing on iPSC reprogramming from different somatic cells to define the transcriptional changes in the process and the role of the reprogramming factors and somatic TFs in the reorganization of cell identity, revealing the critical role of intermediate ectopic gene expression. Changes to the reprogramming transcription factor complement results in similar intermediates while skewing the number of cells that reached particular cell stages. Intriguingly, distinct transcription factors induced unique novel ectopic transient gene networks, the character of which influenced the efficiency of reprogramming. This work thoroughly describes the processes of cell-fate decision-making, and uncovers the nature of the ectopic gene expression state as a gate keeper of reprogramming progression.Building on this, we also establish a novel computational method to deconvolve the epigenetic control of heterogeneous processes, such as reprogramming and differentiation, thereby uncovering mechanisms underlying cell type specifications and transitions. Using techniques from machine learning, we train models to learn the relationship between the transcriptome and epigenome from an atlas of homogeneous cell populations, then apply these models to single cell populations. Our results illustrate accurate deconvolution of a human fetal brain organoid for which we have predicted the H3K27ac epigenomic landscape, a histone modification mark that is nearly impossible to profile at single cell level. Together, my graduate work has focused on developing novel computational methods and analysis techniques that leverage single cell genomics for studying gene regulation while gaining insight into the mechanisms underlying cell fate change processes, as well as how to effectively derive single cell type chromatin state data

Deconstructing Cell Fate Transition Dynamics and Epigenetic Heterogeneity using Single Cell Technology

The ability to create pluripotent stem cells (PSCs) from any tissue by a process called reprogramming (yielding induced pluripotent stem cells, iPSCs) has ushered in an era of personalized medicine. However, reprogramming protocols are not trivial and are nearly always inefficient, often yielding an efficiency of less than 0.1%. Similar low efficiencies occur for many of the forward differentiation protocols, where it is also a major question which cell types are made and how they compare to the cells present in vivo. In this work, we applied single cell RNA-sequencing on iPSC reprogramming from different somatic cells to define the transcriptional changes in the process and the role of the reprogramming factors and somatic TFs in the reorganization of cell identity, revealing the critical role of intermediate ectopic gene expression. Changes to the reprogramming transcription factor complement results in similar intermediates while skewing the number of cells that reached particular cell stages. Intriguingly, distinct transcription factors induced unique novel ectopic transient gene networks, the character of which influenced the efficiency of reprogramming. This work thoroughly describes the processes of cell-fate decision-making, and uncovers the nature of the ectopic gene expression state as a gate keeper of reprogramming progression.Building on this, we also establish a novel computational method to deconvolve the epigenetic control of heterogeneous processes, such as reprogramming and differentiation, thereby uncovering mechanisms underlying cell type specifications and transitions. Using techniques from machine learning, we train models to learn the relationship between the transcriptome and epigenome from an atlas of homogeneous cell populations, then apply these models to single cell populations. Our results illustrate accurate deconvolution of a human fetal brain organoid for which we have predicted the H3K27ac epigenomic landscape, a histone modification mark that is nearly impossible to profile at single cell level. Together, my graduate work has focused on developing novel computational methods and analysis techniques that leverage single cell genomics for studying gene regulation while gaining insight into the mechanisms underlying cell fate change processes, as well as how to effectively derive single cell type chromatin state data

Cooperative Binding of Transcription Factors Orchestrates Reprogramming

Oct4, Sox2, Klf4, and cMyc (OSKM) reprogram somatic cells to pluripotency. To gain a mechanistic understanding of their function, we mapped OSKM-binding, stage-specific transcription factors (TFs), and chromatin states in discrete reprogramming stages and performed loss- and gain-of-function experiments. We found that OSK predominantly bind active somatic enhancers early in reprogramming and immediately initiate their inactivation genome-wide by inducing the redistribution of somatic TFs away from somatic enhancers to sites elsewhere engaged by OSK, recruiting Hdac1, and repressing the somatic TF Fra1. Pluripotency enhancer selection is a stepwise process that also begins early in reprogramming through collaborative binding of OSK at sites with high OSK-motif density. Most pluripotency enhancers are selected later in the process and require OS and other pluripotency TFs. Somatic and pluripotency TFs modulate reprogramming efficiency when overexpressed by altering OSK targeting, somatic-enhancer inactivation, and pluripotency enhancer selection. Together, our data indicate that collaborative interactions among OSK and with stage-specific TFs direct both somatic-enhancer inactivation and pluripotency-enhancer selection to drive reprogramming

Defining Transcriptional Signatures of Human Hair Follicle Cell States.

The epidermis and its appendage, the hair follicle, represent an elegant developmental system in which cells are replenished with regularity because of controlled proliferation, lineage specification, and terminal differentiation. Although transcriptome data exists for human epidermal and dermal cells, the hair follicle remains poorly characterized. Through single-cell resolution profiling of the epidermis and anagen hair follicle, we characterized the anatomical, transcriptional, functional, and pathological profiles of distinct epidermal, hair follicle, and hair follicle-associated cell subpopulations including melanocytes, endothelial cells, and immune cells. We additionally traced the differentiation trajectory of interfollicular and matrix cell progenitors and explored the association of specific cell subpopulations to known molecular signatures of common skin conditions. These data simultaneously corroborate prior murine and human studies while offering new insights into epidermal and hair follicle differentiation and pathogenesis

Human Naive Pluripotent Stem Cells Model X Chromosome Dampening and X Inactivation.

Naive human embryonic stem cells (hESCs) can be derived from primed hESCs or directly from blastocysts, but their X chromosome state has remained unresolved. Here, we show that the inactive X chromosome (Xi) of primed hESCs was reactivated in naive culture conditions. Like cells of the blastocyst, the resulting naive cells contained two active X chromosomes with XIST expression and chromosome-wide transcriptional dampening and initiated XIST-mediated X inactivation upon differentiation. Both establishment of and exit from the naive state (differentiation) happened via an XIST-negative XaXa intermediate. Together, these findings identify a cell culture system for functionally exploring the two X chromosome dosage compensation processes in early human development: X dampening and X inactivation. However, remaining differences between naive hESCs and embryonic cells related to mono-allelic XIST expression and non-random X inactivation highlight the need for further culture improvement. As the naive state resets Xi abnormalities seen in primed hESCs, it may provide cells better suited for downstream applications

Identification and Single-Cell Functional Characterization of an Endodermally Biased Pluripotent Substate in Human Embryonic Stem Cells.

Human embryonic stem cells (hESCs) display substantial heterogeneity in gene expression, implying the existence of discrete substates within the stem cell compartment. To determine whether these substates impact fate decisions of hESCs we used a GFP reporter line to investigate the properties of fractions of putative undifferentiated cells defined by their differential expression of the endoderm transcription factor, GATA6, together with the hESC surface marker, SSEA3. By single-cell cloning, we confirmed that substates characterized by expression of GATA6 and SSEA3 include pluripotent stem cells capable of long-term self-renewal. When clonal stem cell colonies were formed from GATA6-positive and GATA6-negative cells, more of those derived from GATA6-positive cells contained spontaneously differentiated endoderm cells than similar colonies derived from the GATA6-negative cells. We characterized these discrete cellular states using single-cell transcriptomic analysis, identifying a potential role for SOX17 in the establishment of the endoderm-biased stem cell state

Defining the nature of human pluripotent stem cell-derived interneurons via single-cell analysis.

The specification of inhibitory neurons has been described for the mouse and human brain, and many studies have shown that pluripotent stem cells (PSCs) can be used to create interneurons in vitro. It is unclear whether in vitro methods to produce human interneurons generate all the subtypes found in brain, and how similar in vitro and in vivo interneurons are. We applied single-nuclei and single-cell transcriptomics to model interneuron development from human cortex and interneurons derived from PSCs. We provide a direct comparison of various in vitro interneuron derivation methods to determine the homogeneity achieved. We find that PSC-derived interneurons capture stages of development prior to mid-gestation, and represent a minority of potential subtypes found in brain. Comparison with those found in fetal or adult brain highlighted decreased expression of synapse-related genes. These analyses highlight the potential to tailor the method of generation to drive formation of particular subtypes

Transcriptional, Electrophysiological, and Metabolic Characterizations of hESC-Derived First and Second Heart Fields Demonstrate a Potential Role of TBX5 in Cardiomyocyte Maturation.

Background: Human embryonic stem cell-derived cardiomyocytes (hESC-CMs) can be used as a source for cell delivery to remuscularize the heart after myocardial infarction. Despite their therapeutic potential, the emergence of ventricular arrhythmias has limited their application. We previously developed a double reporter hESC line to isolate first heart field (FHF: TBX5 + NKX2-5 +) and second heart field (SHF: TBX5 - NKX2-5 + ) CMs. Herein, we explore the role of TBX5 and its effects on underlying gene regulatory networks driving phenotypical and functional differences between these two populations. Methods: We used a combination of tools and techniques for rapid and unsupervised profiling of FHF and SHF populations at the transcriptional, translational, and functional level including single cell RNA (scRNA) and bulk RNA sequencing, atomic force and quantitative phase microscopy, respirometry, and electrophysiology. Results: Gene ontology analysis revealed three biological processes attributed to TBX5 expression: sarcomeric structure, oxidative phosphorylation, and calcium ion handling. Interestingly, migratory pathways were enriched in SHF population. SHF-like CMs display less sarcomeric organization compared to FHF-like CMs, despite prolonged in vitro culture. Atomic force and quantitative phase microscopy showed increased cellular stiffness and decreased mass distribution over time in FHF compared to SHF populations, respectively. Electrophysiological studies showed longer plateau in action potentials recorded from FHF-like CMs, consistent with their increased expression of calcium handling genes. Interestingly, both populations showed nearly identical respiratory profiles with the only significant functional difference being higher ATP generation-linked oxygen consumption rate in FHF-like CMs. Our findings suggest that FHF-like CMs display more mature features given their enhanced sarcomeric alignment, calcium handling, and decreased migratory characteristics. Finally, pseudotime analyses revealed a closer association of the FHF population to human fetal CMs along the developmental trajectory. Conclusion: Our studies reveal that distinguishing FHF and SHF populations based on TBX5 expression leads to a significant impact on their downstream functional properties. FHF CMs display more mature characteristics such as enhanced sarcomeric organization and improved calcium handling, with closer positioning along the differentiation trajectory to human fetal hearts. These data suggest that the FHF CMs may be a more suitable candidate for cardiac regeneration