Evidence map›Paper›PMID 33897976›Full record

ArticleComputational and structural biotechnology journal2021

The hierarchical folding dynamics of topologically associating domains are closely related to transcriptional abnormalities in cancers.

Guifang Du, Hao Li, Yang Ding, Shuai Jiang, Hao Hong, Jingbo Gan, Longteng Wang, Yuanping Yang, Yinyin Li, Xin Huang and 13 more

Open access · goldAbstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

15 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Beyond the Synapse:International journal of molecular sciences · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. 3D genomic organization in cancers.Quantitative biology (Beijing, China) · 2023
    Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. 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

23 authors at 3 institutions in 1 country.

Guifang DuBeijing Institute of Radiation Medicine, Beijing 100850, China.
Hao LiBeijing Institute of Radiation Medicine, Beijing 100850, China.
Yang DingBeijing Institute of Radiation Medicine, Beijing 100850, China.
Shuai JiangBeijing Institute of Radiation Medicine, Beijing 100850, China.
Hao HongBeijing Institute of Radiation Medicine, Beijing 100850, China.
Jingbo GanCenter for Statistical Science, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing 100871, China.
Longteng WangCenter for Statistical Science, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing 100871, China.
Yuanping YangBioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou 510320, China.
Yinyin LiDepartment of Liver Disease, Fifth Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100069, China.
Xin HuangBeijing Institute of Radiation Medicine, Beijing 100850, China.
Yu SunBeijing Institute of Radiation Medicine, Beijing 100850, China.
Huan TaoBeijing Institute of Radiation Medicine, Beijing 100850, China.
Yaru LiBeijing Institute of Radiation Medicine, Beijing 100850, China.
Xiang XuBeijing Institute of Radiation Medicine, Beijing 100850, China.
Yang ZhengBeijing Institute of Radiation Medicine, Beijing 100850, China.
Junting WangBeijing Institute of Radiation Medicine, Beijing 100850, China.
Xuemei BaiBeijing Institute of Radiation Medicine, Beijing 100850, China.
Kang XuBeijing Institute of Radiation Medicine, Beijing 100850, China.
Yaoshen LiBioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou 510320, China.
Qi JiangTongfang Cloud (Beijing) Technology Co., Ltd, Beijing 100083, China.
Cheng LiCenter for Statistical Science, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing 100871, China.
Hebing ChenBeijing Institute of Radiation Medicine, Beijing 100850, China.
Xiaochen BoBeijing Institute of Radiation Medicine, Beijing 100850, China.
Beijing Radiation Center · CNGuangzhou Regenerative Medicine and Health Guangdong Laboratory · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies have shown that the three-dimensional (3D) structure of chromatin is associated with cancer progression. However, the roles of the 3D genome structure and its dynamics in cancer remains largely unknown. In this study, we investigated hierarchical topologically associating domain (TAD) structures in cancers and defined a "TAD hierarchical score (TH score)" for genes, which allowed us to assess the TAD nesting level of all genes in a simplified way. We demonstrated that the TAD nesting levels of genes in a tumor differ from those in normal tissue. Furthermore, the hierarchical TAD level dynamics were related to transcriptional changes in cancer, and some of the genes in which the hierarchical level was altered were significantly related to the prognosis of cancer patients. Overall, the results of this study suggest that the folding dynamics of TADs are closely related to transcriptional abnormalities in cancers, emphasizing that the function of hierarchical chromatin organization goes beyond simple chromatin packaging efficiency.

Indexed as

CancersColorectal cancerHi-CHierarchical TADTH scoreTranscriptional regulation

Identifiers

PMID33897976
PMCPMC8050718
OpenAlexW3151083339

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.