scholarly journals Single-cell profiling of histone modifications in the mouse brain

2020 ◽  
Author(s):  
Marek Bartosovic ◽  
Mukund Kabbe ◽  
Gonçalo Castelo-Branco
Keyword(s):  
Transcription Factor ◽  
Single Cell ◽  
Histone Modifications ◽  
Chromatin Modifications ◽  
Cell Library ◽  
Online Resource ◽  
Single Cell Profiling ◽  
Cellular Identity ◽  
Transcription Factor Occupancy ◽  
Mouse Central Nervous System

AbstractThe development of the mouse central nervous system (CNS) involves coordinated execution of transcriptional and epigenetic programs. These programs have been extensively studied through single-cell technologies in a pursuit to characterize the underlying cell heterogeneity. However, histone modifications pose additional layers of both positive and negative regulation that defines cellular identity. Here we show that the Cut&Tag technology can be coupled with a droplet-based single cell library preparation platform to produce high quality chromatin modifications data at a single cell resolution in tens of thousands of cells. We apply single-cell Cut&Tag (scC&T) to probe histone modifications characteristic of active promoters (H3K4me3), active promoters and enhancers (H3K27ac), active gene bodies (H3K36me3) and inactive regions (H3K27me3) and generate scC&T profiles for almost 50,000 cells. scC&T profiles of each of these histone modifications were sufficient to determine cell identity and deconvolute at single cell level regulatory principles such as promoter bivalency, spreading of H3K4me3 and promoter-enhancer connectivity. Moreover, we used scC&T to investigate the single-cell chromatin occupancy of transcription factor Olig2 and the cohesin complex component Rad21. Our results indicate that analysis of histone modifications and transcription factor occupancy at a single cell resolution can provide unique insights of epigenomic landscapes in the CNS. We also provide an online resource that can be used to interactively explore the data at https://castelobranco.shinyapps.io/BrainCutAndTag2020/.

scholarly journals Architectural Epigenetics: Mitotic Retention of Mammalian Transcriptional Regulatory Information

2010 ◽  
Vol 30 (20) ◽  
pp. 4758-4766 ◽  
Author(s):  
Sayyed K. Zaidi ◽  
Daniel W. Young ◽  
Martin Montecino ◽  
Jane B. Lian ◽  
Janet L. Stein ◽  
...  
Keyword(s):  
Gene Expression ◽  
Dna Methylation ◽  
Transcription Factor ◽  
Epigenetic Mechanisms ◽  
Cellular Phenotype ◽  
Transcriptional Regulatory ◽  
Regulatory Information ◽  
Cellular Identity ◽  
Epigenetic Signatures ◽  
Transcription Factor Occupancy

ABSTRACT Epigenetic regulatory information must be retained during mammalian cell division to sustain phenotype-specific and physiologically responsive gene expression in the progeny cells. Histone modifications, DNA methylation, and RNA-mediated silencing are well-defined epigenetic mechanisms that control the cellular phenotype by regulating gene expression. Recent results suggest that the mitotic retention of nuclease hypersensitivity, selective histone marks, as well as the lineage-specific transcription factor occupancy of promoter elements contribute to the epigenetic control of sustained cellular identity in progeny cells. We propose that these mitotic epigenetic signatures collectively constitute architectural epigenetics, a novel and essential mechanism that conveys regulatory information to sustain the control of phenotype and proliferation in progeny cells by bookmarking genes for activation or suppression.

Chromatin Signature and Transcription Factor Binding Provide a Predictive Basis for Understanding Plant Gene Expression

2019 ◽  
Vol 60 (7) ◽  
pp. 1471-1486 ◽  
Author(s):  
Zefeng Wu ◽  
Jing Tang ◽  
Junjie Zhuo ◽  
Yuhan Tian ◽  
Feiyang Zhao ◽  
...  
Keyword(s):  
Gene Expression ◽  
Transcription Factor ◽  
Histone Modifications ◽  
Gene Expression Level ◽  
Expression Level ◽  
Good Prediction ◽  
Chromatin Modifications ◽  
Chromatin Signature ◽  
Expression Levels ◽  
Gene Expression Levels

Abstract Chromatin accessibility and post-transcriptional histone modifications play important roles in gene expression regulation. However, little is known about the joint effect of multiple chromatin modifications on the gene expression level in plants, despite that the regulatory roles of individual histone marks such as H3K4me3 in gene expression have been well-documented. By using machine-learning methods, we systematically performed gene expression level prediction based on multiple chromatin modifications data in Arabidopsis and rice. We found that as few as four histone modifications were sufficient to yield good prediction performance, and H3K4me3 and H3K36me3 being the top two predictors with known functions related to transcriptional initiation and elongation, respectively. We demonstrated that the predictive powers differed between protein-coding and non-coding genes as well as between CpG-enriched and CpG-depleted genes. We also showed that the predictive model trained in one tissue or species could be applied to another tissue or species, suggesting shared underlying mechanisms. More interestingly, the gene expression levels of conserved orthologs are easier to predict than the species-specific genes. In addition, chromatin state of distal enhancers was moderately correlated to gene expression but was dispensable if given the chromatin features of the proximal regions of genes. We further extended the analysis to transcription factor (TF) binding data. Strikingly, the combinatorial effects of only a few TFs were roughly fit to gene expression levels in Arabidopsis. Overall, by using quantitative modeling, we provide a comprehensive and unbiased perspective on the epigenetic and TF-mediated regulation of gene expression in plants.

scholarly journals High-throughput single-cell chromatin accessibility CRISPR screens enable unbiased identification of regulatory networks in cancer

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Sarah E. Pierce ◽  
Jeffrey M. Granja ◽  
William J. Greenleaf
Keyword(s):  
Transcription Factor ◽  
Single Cell ◽  
Cancer Cells ◽  
High Throughput ◽  
Regulatory Networks ◽  
Temporal Dynamics ◽  
Chromatin Accessibility ◽  
Regulatory Regions ◽  
Factor Binding ◽  
Genome Wide

AbstractChromatin accessibility profiling can identify putative regulatory regions genome wide; however, pooled single-cell methods for assessing the effects of regulatory perturbations on accessibility are limited. Here, we report a modified droplet-based single-cell ATAC-seq protocol for perturbing and evaluating dynamic single-cell epigenetic states. This method (Spear-ATAC) enables simultaneous read-out of chromatin accessibility profiles and integrated sgRNA spacer sequences from thousands of individual cells at once. Spear-ATAC profiling of 104,592 cells representing 414 sgRNA knock-down populations reveals the temporal dynamics of epigenetic responses to regulatory perturbations in cancer cells and the associations between transcription factor binding profiles.

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