Evidence map›Paper›PMID 39210544›Full record

ArticleClinical and translational medicine2024

Single-cell multi-modal chromatin profiles revealing epigenetic regulations of cells in hepatocellular carcinoma.

Chunqing Wang, Waidong Huang, Yu Zhong, Xuanxuan Zou, Shang Liu, Jie Li, Yunfan Sun, Kaiqian Zhou, Xi Chen, Zihao Li and 13 more

Abstract read
In one paragraph

Article in Clinical and translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Recent advances on the role of G0S2.Discover oncology · 2025
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors.

Chunqing WangCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.
Waidong HuangCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.
Yu ZhongBGI Research, Chongqing, China.
Xuanxuan ZouBGI Research, Chongqing, China.
Shang LiuBGI Research, Chongqing, China.
Jie LiBGI Research, Shenzhen, China.
Yunfan SunDepartment of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, and Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China.
Kaiqian ZhouDepartment of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, and Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China.
Xi ChenBGI Research, Chongqing, China.
Zihao LiBGI Research, Shenzhen, China.
Shanshan WangBGI Research, Shenzhen, China.
Yaling HuangBGI Research, Shenzhen, China.
Yinqi BaiBGI Research, Hangzhou, China.
Jianhua YinBGI Research, Shenzhen, China.
Xin JinBGI Research, Shenzhen, China.
Shiping LiuBGI Research, Hangzhou, China.
Yue YuanDepartment of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, and Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China.
Qiuting DengCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.
Miaomiao JiangBGI Research, Chongqing, China.
Chuanyu LiuBGI Research, Shenzhen, China.
Longqi LiuDepartment of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, and Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China.
Xun XuBGI Research, Shenzhen, China.
Liang WuBGI Research, Chongqing, China.ORCID 0000-0001-6259-261X

Funding

GuangDong Basic and Applied Basic Research Foundation 2021A1515110832National Natural Science Foundation of China 32300514
6 · The paper itself

Abstract

backgroundVarious epigenetic regulations systematically govern gene expression in cells involving various biological processes. Dysregulation of the epigenome leads to aberrant transcriptional programs and subsequently results in diseases, such as cancer. Therefore, comprehensive profiling epigenomics is essential for exploring the mechanisms underlying gene expression regulation during development and disease.

methodsIn this study, we developed single-cell chromatin proteins and accessibility tagmentation (scCPA-Tag), a multi-modal single-cell epigenetic profile capturing technique based on barcoded Tn5 transposases and a droplet microfluidics platform. scCPA-Tag enables the simultaneous capture of DNA profiles of histone modification and chromatin accessibility in the same cell.

resultsBy applying scCPA-Tag to K562 cells and a hepatocellular carcinoma (HCC) sample, we found that the silence of several chromatin-accessible genes can be attributed to lysine-27-trimethylation of the histone H3 tail (H3K27me3) modification. We characterized the epigenetic features of the tumour cells and different immune cell types in the HCC tumour tissue by scCPA-Tag. Besides, a tumour cell subtype (C2) with more aggressive features was identified and characterized by high chromatin accessibility and a lower abundance of H3K27me3 on tumour-promoting genes.

conclusionsOur multi-modal scCPA-Tag provides a comprehensive approach for exploring the epigenetic landscapes of heterogeneous cell types and revealing the mechanisms of gene expression regulation during developmental and pathological processes at the single-cell level. HIGHLIGHTS: scCPA-Tag offers a highly efficient and high throughput technique to simultaneously profile histone modification and chromatin accessibility within a single cell. scCPA-Tag enables to uncover multiple epigenetic modification features of cellular compositions within tumor tissues. scCPA-Tag facilitates the exploration of the epigenetic landscapes of heterogeneous cell types and provides the mechanisms governing gene expression regulation.

Indexed as

Carcinoma, HepatocellularChromatinEpigenesis, GeneticLiver NeoplasmsSingle-Cell AnalysisEpigenomicsGene Expression Regulation, NeoplasticHumansChromatinchromatin accessibilityepigenomicshepatocellular carcinomahistone modificationsmulti‐omicssingle‐cell sequencing

Identifiers

PMID39210544
PMCPMC11362026

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.