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Joint profiling of histone modifications and transcriptome in single cells from mouse brain.

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TLDR
Paired-Tag as discussed by the authors was used to profile five histone modifications jointly with transcriptome in the adult mouse frontal cortex and hippocampus to produce cell-type-resolved maps of chromatin state and transcriptome.
Abstract
Genome-wide profiling of histone modifications can reveal not only the location and activity state of regulatory elements, but also the regulatory mechanisms involved in cell-type-specific gene expression during development and disease pathology. Conventional assays to profile histone modifications in bulk tissues lack single-cell resolution. Here we describe an ultra-high-throughput method, Paired-Tag, for joint profiling of histone modifications and transcriptome in single cells to produce cell-type-resolved maps of chromatin state and transcriptome in complex tissues. We used this method to profile five histone modifications jointly with transcriptome in the adult mouse frontal cortex and hippocampus. Integrative analysis of the resulting maps identified distinct groups of genes subject to divergent epigenetic regulatory mechanisms. Our single-cell multiomics approach enables comprehensive analysis of chromatin state and gene regulation in complex tissues and characterization of gene regulatory programs in the constituent cell types.

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Journal ArticleDOI

Single-cell nuclear architecture across cell types in the mouse brain.

TL;DR: In this article, the authors correlate multimodal information across thousands of single cells in mouse tissues, including gene expression programs, chromatin states, and nuclear architectures, to correlate such multi-modal information.
Journal ArticleDOI

Methods and applications for single-cell and spatial multi-omics

TL;DR: In this article , the authors highlight advances in the fast-developing field of single-cell and spatial multi-omics technologies (also known as multimodal omics approaches), and the computational strategies needed to integrate information across these molecular layers.
Journal ArticleDOI

Simultaneous profiling of multiple chromatin proteins in the same cells

TL;DR: Multi-CUT&Tag as mentioned in this paper uses antibody-specific barcodes to simultaneously map multiple proteins in the same cells, enabling direct analysis of the interplay of different chromatin proteins.
Journal ArticleDOI

Characterizing cis-regulatory elements using single-cell epigenomics

TL;DR: Recent advances in single-cell epigenomic methods and analytical tools are highlighted and discussed and their readiness for human tissue profiling is discussed.
Posted ContentDOI

Dictionary learning for integrative, multimodal, and scalable single-cell analysis

TL;DR: ‘bridge integration’ is introduced, a method to harmonize singlecell datasets across modalities by leveraging a multi-omic dataset as a molecular bridge, which aims to broaden the utility of single-cell reference datasets and facilitate comparisons across diverse molecular modalities.
References
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Journal ArticleDOI

Fast gapped-read alignment with Bowtie 2

TL;DR: Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.

TL;DR: EdgeR as mentioned in this paper is a Bioconductor software package for examining differential expression of replicated count data, which uses an overdispersed Poisson model to account for both biological and technical variability and empirical Bayes methods are used to moderate the degree of overdispersion across transcripts, improving the reliability of inference.
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Ultrafast and memory-efficient alignment of short DNA sequences to the human genome

TL;DR: Bowtie extends previous Burrows-Wheeler techniques with a novel quality-aware backtracking algorithm that permits mismatches and can be used simultaneously to achieve even greater alignment speeds.
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Simple Combinations of Lineage-Determining Transcription Factors Prime cis-Regulatory Elements Required for Macrophage and B Cell Identities

TL;DR: It is demonstrated in macrophages and B cells that collaborative interactions of the common factor PU.1 with small sets of macrophage- or B cell lineage-determining transcription factors establish cell-specific binding sites that are associated with the majority of promoter-distal H3K4me1-marked genomic regions.
Journal ArticleDOI

Comprehensive Integration of Single-Cell Data.

TL;DR: A strategy to "anchor" diverse datasets together, enabling us to integrate single-cell measurements not only across scRNA-seq technologies, but also across different modalities.
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