scholarly journals Enhancer transcription identifies cis-regulatory elements for photoreceptor cell types

2019 ◽  
Author(s):  
Rangarajan D. Nadadur ◽  
Carlos Perez-Cervantes ◽  
Nicolas Lonfat ◽  
Linsin A. Smith ◽  
Andrew E. O. Hughes ◽  
...  
Keyword(s):  
Differential Expression ◽  
Regulatory Networks ◽  
Photoreceptor Cell ◽  
Cell Types ◽  
Regulatory Elements ◽  
Mouse Retina ◽  
Specific Cell ◽  
Rod Photoreceptor ◽  
Cone Photoreceptor ◽  
Accessible Chromatin

AbstractIdentification of the cis-regulatory elements (CREs) that regulate gene expression in specific cell types is critical for defining the gene regulatory networks (GRNs) that control normal physiology and disease states. We previously utilized non-coding RNA (ncRNA) profiling to define CREs that comprise a GRN in the adult mouse heart1. Here, we applied ncRNA profiling to the mouse retina in the presence and absence of Nrl, a rod photoreceptor-specific transcription factor required for rod versus cone photoreceptor cell fate. Differential expression of Nrl-dependent ncRNAs positively correlated with differential expression of Nrl-dependent local genes. Two distinct Nrl-dependent regulatory networks were discerned in parallel: Nrl-activated ncRNAs were enriched for accessible chromatin in rods but not cones whereas Nrl-repressed ncRNAs were enriched for accessible chromatin in cones but not rods. Furthermore, differential Nrl-dependent ncRNA expression levels quantitatively correlated with photoreceptor cell type-specific ATAC-seq read density. Direct assessment of Nrl-dependent ncRNA-defined loci identified functional cone photoreceptor CREs. This work supports differential ncRNA profiling as a platform for identifying context-specific regulatory elements and provides insight into the networks that define photoreceptor cell types.

scholarly journals Genetic determinants of chromatin accessibility in T cell activation across humans

2016 ◽  
Author(s):  
Rachel E. Gate ◽  
Christine S. Cheng ◽  
Aviva P. Aiden ◽  
Atsede Siba ◽  
Marcin Tabaka ◽  
...  
Keyword(s):  
Gene Expression ◽  
T Cells ◽  
T Cell ◽  
T Cell Activation ◽  
Genetic Variants ◽  
Cell Activation ◽  
Cell Types ◽  
Regulatory Elements ◽  
Specific Cell ◽  
Accessible Chromatin

AbstractOver 90% of genetic variants associated with complex human traits map to non-coding regions, but little is understood about how they modulate gene regulation in health and disease. One possible mechanism is that genetic variants affect the activity of one or more cis-regulatory elements leading to gene expression variation in specific cell types. To identify such cases, we analyzed Assay for Transposase-Accessible Chromatin sequencing (ATAC-seq) and RNA-seq profiles from activated CD4+ T cells of up to 105 healthy donors. We found that regions of accessible chromatin (ATAC-peaks) are co-accessible at kilobase and megabase resolution, in patterns consistent with the 3D organization of chromosomes measured by in situ Hi-C in T cells. 15% of genetic variants located within ATAC-peaks affected the accessibility of the corresponding peak through disrupting binding sites for transcription factors important for T cell differentiation and activation. These ATAC quantitative trait nucleotides (ATAC-QTNs) have the largest effects on co-accessible peaks, are associated with gene expression from the same aliquot of cells, are rarely affecting core binding motifs, and are enriched for autoimmune disease variants. Our results provide insights into how natural genetic variants modulate cis- regulatory elements, in isolation or in concert, to influence gene expression in primary immune cells that play a key role in many human diseases.

scholarly journals Gain of gene regulatory network interconnectivity at the origin of vertebrates

2020 ◽  
Author(s):  
Alejandro Gil-Gálvez ◽  
Sandra Jiménez-Gancedo ◽  
Rafael D. Acemel ◽  
Stephanie Bertrand ◽  
Michael Schubert ◽  
...  
Keyword(s):  
Gene Expression ◽  
Signaling Pathways ◽  
Regulatory Networks ◽  
Cell Types ◽  
Regulatory Elements ◽  
Specific Cell ◽  
Vertebrate Lineage ◽  
Animal Development ◽  
Gene Regulatory ◽  
Morphological Novelties

AbstractSignaling pathways control a large number of gene regulatory networks (GRNs) during animal development, acting as major tools for body plan formation1. Remarkably, in contrast to the large number of transcription factors present in animal genomes, only a few of these pathways operate during development2. Moreover, most of them are largely conserved along metazoan evolution3. How evolution has generated a vast diversity of animal morphologies with such a limited number of tools is still largely unknown. Here we show that gain of interconnectivity between signaling pathways, and the GRNs they control, may have played a critical contribution to the origin of vertebrates. We perturbed the retinoic acid, Wnt, FGF and Nodal signaling pathways during gastrulation in amphioxus and zebrafish and comparatively examined its effects in gene expression and cis-regulatory elements (CREs). We found that multiple developmental genes gain response to these pathways through novel CREs in the vertebrate lineage. Moreover, in contrast to amphioxus, many of these CREs are highly interconnected and respond to multiple pathways in zebrafish. Furthermore, we found that vertebrate-specific cell types are more enriched in highly interconnected genes than those tissues with more ancestral origin. Thus, the increase of CREs in vertebrates integrating inputs from different signaling pathways probably contributed to gene expression complexity and the formation of new cell types and morphological novelties in this lineage.

scholarly journals Ikaros family proteins regulate developmental windows in the mouse retina through convergent and divergent transcriptional programs

2021 ◽  
Author(s):  
Awais Javed ◽  
Pierre Mattar ◽  
Allie Cui ◽  
Michel Cayouette
Keyword(s):  
Target Genes ◽  
Cell Types ◽  
Regulatory Elements ◽  
Nervous System Development ◽  
Mouse Retina ◽  
Specific Cell ◽  
Dependent Manner ◽  
Muller Glia ◽  
Müller Glia ◽  
Hes1 Expression

ABSTRACTTemporal identity factors regulate the competence of neural progenitors to generate specific cell types in a time-dependent manner, but how they operate remains poorly defined. In the developing mouse retina, the Ikaros zinc finger transcription factor Ikzf1 regulates the production of early-born cell types, except cone photoreceptors. In this study we show that Ikzf4, another Ikaros family protein, cooperates with Ikzf1 to control cone photoreceptor production during early stages of retinal development, whereas at late stages, when Ikzf1 is no longer expressed in progenitors, Ikzf4 is instead required for Müller glia production. Using CUT&RUN sequencing, we find that both Ikzf1 and Ikzf4 generally bind to the same genes involved in cone development and other early-born fates, but at different cis-regulatory elements. In late-stage progenitors, Ikzf4 re-localizes to bind target genes involved in Müller glia development and regulate their expression. Specifically, we show that Ikzf4 maintains Hes1 expression in differentiating cells using two Ikzf GGAA binding sites at the Hes1 promoter, thereby favouring Müller glia fate commitment. These results uncover a combinatorial role for Ikaros family members in nervous system development and provide mechanistic insights on how they temporally regulate cell fate output.

scholarly journals Adeno-Associated Virus Technologies and Methods for Targeted Neuronal Manipulation

2019 ◽  
Author(s):  
Leila Haery ◽  
Benjamin E. Deverman ◽  
Katherine Matho ◽  
Ali Cetin ◽  
Kenton Woodard ◽  
...  
Keyword(s):  
Viral Vectors ◽  
Cell Types ◽  
Regulatory Elements ◽  
Specific Cell ◽  
Specific Expression ◽  
Adeno Associated Virus ◽  
Cell Type Specific Expression ◽  
Cell Type Specific ◽  
And Function ◽  
Novel Applications

AbstractCell-type-specific expression of molecular tools and sensors is critical to construct circuit diagrams and to investigate the activity and function of neurons within the nervous system. Strategies for targeted manipulation include combinations of classical genetic tools such as Cre/loxP and Flp/FRT, use of cis-regulatory elements, targeted knock-in transgenic mice, and gene delivery by AAV and other viral vectors. The combination of these complex technologies with the goal of precise neuronal targeting is a challenge in the lab. This report will discuss the theoretical and practical aspects of combining current technologies and establish best practices for achieving targeted manipulation of specific cell types. Novel applications and tools, as well as areas for development, will be envisioned and discussed.

scholarly journals CellWalker integrates single-cell and bulk data to resolve regulatory elements across cell types in complex tissues

2019 ◽  
Author(s):  
Pawel F. Przytycki ◽  
Katherine S. Pollard
Keyword(s):  
Single Cell ◽  
Cell Types ◽  
Regulatory Elements ◽  
Cell Labeling ◽  
Open Chromatin ◽  
Specific Cell ◽  
Rna Seq ◽  
Data Types ◽  
Bulk Data ◽  
Cell Type Specific

Single-cell and bulk genomics assays have complementary strengths and weaknesses, and alone neither strategy can fully capture regulatory elements across the diversity of cells in complex tissues. We present CellWalker, a method that integrates single-cell open chromatin (scATAC-seq) data with gene expression (RNA-seq) and other data types using a network model that simultaneously improves cell labeling in noisy scATAC-seq and annotates cell-type specific regulatory elements in bulk data. We demonstrate CellWalker’s robustness to sparse annotations and noise using simulations and combined RNA-seq and ATAC-seq in individual cells. We then apply CellWalker to the developing brain. We identify cells transitioning between transcriptional states, resolve enhancers to specific cell types, and observe that autism and other neurological traits can be mapped to specific cell types through their enhancers.

scholarly journals Systematic integration of GATA transcription factors and epigenomes via IDEAS paints the regulatory landscape of mouse hematopoietic cells

2019 ◽  
Author(s):  
Ross C. Hardison ◽  
Yu Zhang ◽  
Cheryl A. Keller ◽  
Guanjue Xiang ◽  
Elisabeth Heuston ◽  
...  
Keyword(s):  
Transcription Factors ◽  
Hematopoietic Cells ◽  
Cell Types ◽  
Regulatory Elements ◽  
Two Dimensions ◽  
Specific Cell ◽  
Hematopoietic Stem ◽  
Cell Lineages ◽  
Gata Factors ◽  
Regulatory Landscape

SummaryMembers of the GATA family of transcription factors play key roles in the differentiation of specific cell lineages by regulating the expression of target genes. Three GATA factors play distinct roles in hematopoietic differentiation. In order to better understand how these GATA factors function to regulate genes throughout the genome, we are studying the epigenomic and transcriptional landscapes of hematopoietic cells in a model-driven, integrative fashion. We have formed the collaborative multi-lab VISION project to conduct ValIdated Systematic IntegratiON of epigenomic data in mouse and human hematopoiesis. The epigenomic data included nuclease accessibility in chromatin, CTCF occupancy, and histone H3 modifications for twenty cell types covering hematopoietic stem cells, multilineage progenitor cells, and mature cells across the blood cell lineages of mouse. The analysis used the Integrative and Discriminative Epigenome Annotation System (IDEAS), which learns all common combinations of features (epigenetic states) simultaneously in two dimensions - along chromosomes and across cell types. The result is a segmentation that effectively paints the regulatory landscape in readily interpretable views, revealing constitutively active or silent loci as well as the loci specifically induced or repressed in each stage and lineage. Nuclease accessible DNA segments in active chromatin states were designated candidate cis-regulatory elements in each cell type, providing one of the most comprehensive registries of candidate hematopoietic regulatory elements to date. Applications of VISION resources are illustrated for regulation of genes encoding GATA1, GATA2, GATA3, and Ikaros. VISION resources are freely available from our website http://usevision.org.

scholarly journals TRAP-based allelic translation efficiency imbalance analysis to identify genetic regulation of ribosome occupancy in specific cell types in vivo

2020 ◽  
Author(s):  
Yating Liu ◽  
Anthony D. Fischer ◽  
Celine L. St. Pierre ◽  
Juan F. Macias-Velasco ◽  
Heather A. Lawson ◽  
...  
Keyword(s):  
Gene Expression ◽  
Genetic Regulation ◽  
Transcript Abundance ◽  
Cell Types ◽  
Regulatory Elements ◽  
Model Organisms ◽  
Specific Cell ◽  
Translation Efficiency ◽  
Mrna Levels

AbstractThe alteration of gene expression due to variations in the sequences of transcriptional regulatory elements has been a focus of substantial inquiry in humans and model organisms. However, less is known about the extent to which natural variation contributes to post-transcriptional regulation. Allelic Expression Imbalance (AEI) is a classical approach for studying the association of specific haplotypes with relative changes in transcript abundance. Here, we piloted a new TRAP based approach to associate genetic variation with transcript occupancy on ribosomes in specific cell types, to determine if it will allow examination of Allelic Translation Imbalance (ATI), and Allelic Translation Efficiency Imbalance, using as a test case mouse astrocytes in vivo. We show that most changes of the mRNA levels on ribosomes were reflected in transcript abundance, though ∼1.5% of transcripts have variants that clearly alter loading onto ribosomes orthogonally to transcript levels. These variants were often in conserved residues and altered sequences known to regulate translation such as upstream ORFs, PolyA sites, and predicted miRNA binding sites. Such variants were also common in transcripts showing altered abundance, suggesting some genetic regulation of gene expression may function through post-transcriptional mechanisms. Overall, our work shows that naturally occurring genetic variants can impact ribosome occupancy in astrocytes in vivo and suggests that mechanisms may also play a role in genetic contributions to disease.

scholarly journals A cis-regulatory atlas in maize at single-cell resolution

2020 ◽  
Author(s):  
Alexandre P. Marand ◽  
Zongliang Chen ◽  
Andrea Gallavotti ◽  
Robert J. Schmitz
Keyword(s):  
Single Cell ◽  
Cell Types ◽  
Regulatory Elements ◽  
Cellular Heterogeneity ◽  
Cell Type ◽  
Crop Species ◽  
Cell Functions ◽  
Cell Type Specific ◽  
Type Specification ◽  
Accessible Chromatin

ABSTRACTCis-regulatory elements (CREs) encode the genomic blueprints for coordinating spatiotemporal gene expression programs underlying highly specialized cell functions. To identify CREs underlying cell-type specification and developmental transitions, we implemented single-cell sequencing of Assay for Transposase Accessible Chromatin in an atlas of Zea mays organs. We describe 92 distinct states of chromatin accessibility across more than 165,913 putative CREs, 56,575 cells, and 52 known cell-types in maize using a novel implementation of regularized quasibinomial logistic regression. Cell states were largely determined by combinatorial accessibility of transcription factors (TFs) and their binding sites. A neural network revealed that cell identity could be accurately predicted (>0.94) solely based on TF binding site accessibility. Co-accessible chromatin recapitulated higher-order chromatin interactions, with distinct sets of TFs coordinating cell type-specific regulatory dynamics. Pseudotime reconstruction and alignment with Arabidopsis thaliana trajectories identified conserved TFs, associated motifs, and cis-regulatory regions specifying sequential developmental progressions. Cell-type specific accessible chromatin regions were enriched with phenotype-associated genetic variants and signatures of selection, revealing the major cell-types and putative CREs targeted by modern maize breeding. Collectively, our analysis affords a comprehensive framework for understanding cellular heterogeneity, evolution, and cis-regulatory grammar of cell-type specification in a major crop species.

scholarly journals Inference of cell-type specific imprinted regulatory elements and genes during human neuronal differentiation

2021 ◽  
Author(s):  
Dan Liang ◽  
Nil Aygün ◽  
Nana Matoba ◽  
Folami Ideraabdullah ◽  
Michael I Love ◽  
...  
Keyword(s):  
Gene Expression ◽  
Neural Progenitor Cells ◽  
Association Studies ◽  
Cpg Islands ◽  
Uniparental Disomy ◽  
Cell Types ◽  
Regulatory Elements ◽  
Imprinted Genes ◽  
Specific Cell ◽  
Cell Type

Genomic imprinting results in gene expression biased by parental chromosome of origin and occurs in genes with important roles during human brain development. However, the cell-type and temporal specificity of imprinting during human neurogenesis is generally unknown. By detecting within-donor allelic biases in chromatin accessibility and gene expression that are unrelated to cross-donor genotype, we inferred imprinting in both primary human neural progenitor cells (phNPCs) and their differentiated neuronal progeny from up to 85 donors. We identified 43/20 putatively imprinted regulatory elements (IREs) in neurons/progenitors, and 133/79 putatively imprinted genes in neurons/progenitors. Though 10 IREs and 42 genes were shared between neurons and progenitors, most imprinting was only detected within specific cell types. In addition to well-known imprinted genes and their promoters, we inferred novel IREs and imprinted genes. We found IREs overlapped with CpG islands more than non-imprinted regulatory elements. Consistent with DNA methylation-based regulation of imprinted expression, some putatively imprinted regulatory elements also overlapped with differentially methylated regions on the maternal germline. Finally, we identified a progenitor-specific putatively imprinted gene overlap with copy number variation that is associated with uniparental disomy-like phenotypes. Our results can therefore be useful in interpreting the function of variants identified in future parent-of-origin association studies.

scholarly journals Functional Inference of Gene Regulation using Single-Cell Multi-Omics

2021 ◽  
Author(s):  
Vinay K Kartha ◽  
Fabiana M Duarte ◽  
Yan Hu ◽  
Sai Ma ◽  
Jennifer G Chew ◽  
...  
Keyword(s):  
Gene Expression ◽  
Single Cell ◽  
Regulatory Networks ◽  
Immunological Response ◽  
Cell Types ◽  
Regulatory Elements ◽  
Chromatin Accessibility ◽  
Human Blood Cells ◽  
Functional Inference ◽  
Omic Data

Cells require coordinated control over gene expression when responding to environmental stimuli. Here, we apply scATAC-seq and scRNA-seq in resting and stimulated human blood cells. Collectively, we generate ~91,000 single-cell profiles, allowing us to probe the cis -regulatory landscape of immunological response across cell types, stimuli and time. Advancing tools to integrate multi-omic data, we develop FigR - a framework to computationally pair scATAC-seq with scRNA-seq cells, connect distal cis -regulatory elements to genes, and infer gene regulatory networks (GRNs) to identify candidate TF regulators. Utilizing these paired multi-omic data, we define Domains of Regulatory Chromatin (DORCs) of immune stimulation and find that cells alter chromatin accessibility prior to production of gene expression at time scales of minutes. Further, the construction of the stimulation GRN elucidates TF activity at disease-associated DORCs. Overall, FigR enables the elucidation of regulatory interactions across single-cell data, providing new opportunities to understand the function of cells within tissues.

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