Evidence map›Paper›PMID 38956385›Full record

ArticleScientific data2024

A single-cell chromatin accessibility dataset of human primed and naïve pluripotent stem cell-derived teratoma.

Jinxiu Li, Lixin Fu, Yunpan Li, Wei Sun, Yao Yi, Wenqi Jia, Haiwei Li, Hao Liu, Pengcheng Guo, Yang Wang and 12 more

Abstract read
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 citing papers in PubMed.

  1. Molecular principles underlying aggressive cancers.Signal transduction and targeted therapy · 2025
    Review
  2. Review
  3. Article
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

22 authors.

Jinxiu Li *College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
Lixin Fu *College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
Yunpan Li *Laboratory of Integrative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China.
Wei SunBGI Research, Shenzhen, 518083, China.
Yao YiMRC Metabolic Diseases Unit, Wellcome Trust-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, CB2 0QQ, UK.
Wenqi JiaBGI Research, Shenzhen, 518083, China.
Haiwei LiLaboratory of Integrative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China.
Hao LiuLaboratory of Integrative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China.
Pengcheng GuoBGI Research, Shenzhen, 518083, China.
Yang WangCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
Yue ShenCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
Xiuqing ZhangCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
Yuan LvBGI Research, Shenzhen, 518083, China.
Baoming QinLaboratory of Integrative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China.
Wenjuan LiLaboratory of Integrative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China.
Chuanyu LiuBGI Research, Shenzhen, 518083, China.ORCID 0000-0003-2258-0897
Longqi LiuCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.ORCID 0000-0002-5828-5542
Md Abdul MazidLaboratory of Integrative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China.
Yiwei LaiBGI Research, Shenzhen, 518083, China.
Miguel A EstebanBGI Research, Shenzhen, 518083, China.ORCID 0000-0002-1426-6809
Yu JiangBGI Research, Shenzhen, 518083, China. jiangyu2@genomics.cn.
Liang WuLaboratory of Integrative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China. wu_liang@gibh.ac.cn.

Funding

China Postdoctoral Science Foundation 2023M733514National Natural Science Foundation of China (National Science Foundation of China) 32200669National Natural Science Foundation of China (National Science Foundation of China) 32201214National Natural Science Foundation of China (National Science Foundation of China) 32250710149National Natural Science Foundation of China (National Science Foundation of China) 32370848National Natural Science Foundation of China (National Science Foundation of China) 32370849
6 · The paper itself

Abstract

Teratoma, due to its remarkable ability to differentiate into multiple cell lineages, is a valuable model for studying human embryonic development. The similarity of the gene expression and chromatin accessibility patterns in these cells to those observed in vivo further underscores its potential as a research tool. Notably, teratomas derived from human naïve (pre-implantation epiblast-like) pluripotent stem cells (PSCs) have larger embryonic cell diversity and contain extraembryonic lineages, making them more suitable to study developmental processes. However, the cell type-specific epigenetic profiles of naïve PSC teratomas have not been yet characterized. Using single-cell assay for transposase-accessible chromatin sequencing (scATAC-seq), we analyzed 66,384 cell profiles from five teratomas derived from human naïve PSCs and their post-implantation epiblast-like (primed) counterparts. We observed 17 distinct cell types from both embryonic and extraembryonic lineages, resembling the corresponding cell types in human fetal tissues. Additionally, we identified key transcription factors specific to different cell types. Our dataset provides a resource for investigating gene regulatory programs in a relevant model of human embryonic development.

Indexed as

ChromatinPluripotent Stem CellsSingle-Cell AnalysisTeratomaCell LineageHumansTranscription FactorsChromatinTranscription Factors

Identifiers

PMID38956385
PMCPMC11220047

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.