Evidence map›Paper›PMID 38553796›Full record

ArticleCell proliferation2024

The effect of trisomic chromosomes on spatial genome organization and global transcription in embryonic stem cells.

Mengfan Li, Junsheng Yang, Rong Xiao, Yunjie Liu, Jiaqi Hu, Tingting Li, Pengze Wu, Meili Zhang, Yue Huang, Yujie Sun and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cell proliferation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 18% of its field
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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

11 authors at 3 institutions in 1 country.

Mengfan LiCenter for Bioinformatics, School of Life Sciences, Center for Statistical Science, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China.
Junsheng YangState Key Laboratory of Membrane Biology, School of Life Sciences, and Biomedical Pioneering Innovation Center (BIOPIC), Peking University, Beijing, China.
Rong XiaoState Key Laboratory of Common Mechanism Research for Major Diseases, Department of Medical Genetics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China.
Yunjie LiuCenter for Bioinformatics, School of Life Sciences, Center for Statistical Science, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China.
Jiaqi HuSchool of Health Humanities, Peking University, Beijing, China.
Tingting LiState Key Laboratory of Proteomics, Institute of Basic Medical Sciences, National Center of Biomedical Analysis, Beijing, China.
Pengze WuCenter for Bioinformatics, School of Life Sciences, Center for Statistical Science, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China.
Meili ZhangState Key Laboratory of Common Mechanism Research for Major Diseases, Department of Medical Genetics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China.ORCID https://orcid.org/0000-0002-1724-3979
Yue HuangState Key Laboratory of Common Mechanism Research for Major Diseases, Department of Medical Genetics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China.
Yujie SunState Key Laboratory of Membrane Biology, School of Life Sciences, and Biomedical Pioneering Innovation Center (BIOPIC), Peking University, Beijing, China.
Cheng LiCenter for Bioinformatics, School of Life Sciences, Center for Statistical Science, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China.
Peking University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNNational Center of Biomedical Analysis · CN

Funding

CAMS Innovation Fund for Medical Sciences 2016-I2M-3-002CAMS Innovation Fund for Medical Sciences 2021-I2M-1-019National Key Research and Development Program of China 2016YFA0100103National Key Research and Development Program of China 2021YFA1100300National Natural Science Foundation of China 32025006National Natural Science Foundation of China 32288102
6 · The paper itself

Abstract

Aneuploidy frequently occurs in cancer and developmental diseases such as Down syndrome, with its functional consequences implicated in dosage effects on gene expression and global perturbation of stress response and cell proliferation pathways. However, how aneuploidy affects spatial genome organization remains less understood. In this study, we addressed this question by utilizing the previously established isogenic wild-type (WT) and trisomic mouse embryonic stem cells (mESCs). We employed a combination of Hi-C, RNA-seq, chromosome painting and nascent RNA imaging technologies to compare the spatial genome structures and gene transcription among these cells. We found that trisomy has little effect on spatial genome organization at the level of A/B compartment or topologically associating domain (TAD). Inter-chromosomal interactions are associated with chromosome regions with high gene density, active histone modifications and high transcription levels, which are confirmed by imaging. Imaging also revealed contracted chromosome volume and weakened transcriptional activity for trisomic chromosomes, suggesting potential implications for the transcriptional output of these chromosomes. Our data resources and findings may contribute to a better understanding of the consequences of aneuploidy from the angle of spatial genome organization.

Indexed as

GenomeTranscription, GeneticAneuploidyAnimalsEmbryonic Stem CellsMiceMouse Embryonic Stem CellsTrisomy

Identifiers

PMID38553796
PMCPMC11294443
OpenAlexW4393344853

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.