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TChIP-Seq: Cell-Type-Specific Epigenome Profiling
Published on: January 23, 2019
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Modeling population size independent tissue epigenomes by ChIL-seq with single thin sections.
Kazumitsu Maehara1, Kosuke Tomimatsu1, Akihito Harada1
1Division of Transcriptomics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan.
Molecular Systems Biology
|November 3, 2021
Summary
This study introduces "ChIL for tissues," a novel epigenomic analysis method. It enables detailed cell-type resolution from single tissue sections, revealing cellular dynamics in complex tissues.
Area of Science:
- Genomics
- Epigenetics
- Cell Biology
Background:
- Genome-wide technologies allow single-cell analyses.
- Cell-type resolved epigenomes from limited tissue material are challenging.
- Analyzing diverse cellular dynamics in tissues requires advanced methods.
Purpose of the Study:
- To present a ChIL-based approach for epigenomic analysis of tissue sections.
- To enable cell-type resolution from limited tissue samples.
- To analyze diverse cellular dynamics at the tissue level.
Main Methods:
- Developed a ChIL-based approach for tissue epigenomics.
- Utilized high-depth epigenomic data from single tissue sections.
- Applied a statistical model of RNA polymerase II distribution.
Main Results:
- Reproducibly generated epigenomic profiles from multiple tissue types.
- Enabled independent evaluation of cell population changes.
- Elucidated cell-type dynamics in regenerating skeletal muscle tissue.
Conclusions:
- ChIL for tissues provides cell-type resolution from limited tissue.
- Integrative analyses using ChIL reveal in vivo cell-type dynamics.
- The method is applicable to various tissue types and conditions.
