Evidence map›Paper›PMID 37602215›Full record

ArticlePatterns (New York, N.Y.)2023

Inferring CTCF-binding patterns and anchored loops across human tissues and cell types.

Hang Xu, Xianfu Yi, Xutong Fan, Chengyue Wu, Wei Wang, Xinlei Chu, Shijie Zhang, Xiaobao Dong, Zhao Wang, Jianhua Wang and 11 more

Open access · goldAbstract read
In one paragraph

Article in Patterns (New York, N.Y.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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

21 authors at 7 institutions in 5 countries.

Hang XuDepartment of Epidemiology and Biostatistics, Key Laboratory of Prevention and Control of Human Major Diseases (Ministry of Education), National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin 300070, China.
Xianfu YiDepartment of Bioinformatics, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China.
Xutong FanDepartment of Bioinformatics, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China.
Chengyue WuDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China.
Wei WangDepartment of Epidemiology and Biostatistics, Key Laboratory of Prevention and Control of Human Major Diseases (Ministry of Education), National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin 300070, China.
Xinlei ChuDepartment of Epidemiology and Biostatistics, Key Laboratory of Prevention and Control of Human Major Diseases (Ministry of Education), National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin 300070, China.
Shijie ZhangDepartment of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China.
Xiaobao DongDepartment of Genetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China.
Zhao WangDepartment of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China.
Jianhua WangDepartment of Bioinformatics, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China.
Yao ZhouDepartment of Bioinformatics, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China.
Ke ZhaoDepartment of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China.
Hongcheng YaoCentre for PanorOmic Sciences-Genomics and Bioinformatics Cores, The University of Hong Kong, Hong Kong 999077, China.
Nan ZhengDepartment of Network Security and Informatization, Tianjin Medical University, Tianjin 300070, China.
Junwen WangDepartment of Health Sciences Research and Center for Individualized Medicine, Mayo Clinic, Scottsdale, AZ 85259, USA.
Yupeng ChenDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China.
Dariusz PlewczynskiFaculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland.
Pak Chung ShamCentre for PanorOmic Sciences-Genomics and Bioinformatics Cores, The University of Hong Kong, Hong Kong 999077, China.
Kexin ChenDepartment of Epidemiology and Biostatistics, Key Laboratory of Prevention and Control of Human Major Diseases (Ministry of Education), National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin 300070, China.
Dandan HuangWuxi School of Medicine, Jiangnan University, Wuxi 214122, China.
Mulin Jun LiDepartment of Epidemiology and Biostatistics, Key Laboratory of Prevention and Control of Human Major Diseases (Ministry of Education), National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin 300070, China.
Tianjin Medical University · CNTianjin Medical University Cancer Institute and Hospital · CNMayo Clinic in Arizona · USUniversity of Hong Kong · HKAgency for Science, Technology and Research · SGJiangnan University · CNWarsaw University of Technology · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CCCTC-binding factor (CTCF) is a transcription regulator with a complex role in gene regulation. The recognition and effects of CTCF on DNA sequences, chromosome barriers, and enhancer blocking are not well understood. Existing computational tools struggle to assess the regulatory potential of CTCF-binding sites and their impact on chromatin loop formation. Here we have developed a deep-learning model, DeepAnchor, to accurately characterize CTCF binding using high-resolution genomic/epigenomic features. This has revealed distinct chromatin and sequence patterns for CTCF-mediated insulation and looping. An optimized implementation of a previous loop model based on DeepAnchor score excels in predicting CTCF-anchored loops. We have established a compendium of CTCF-anchored loops across 52 human tissue/cell types, and this suggests that genomic disruption of these loops could be a general mechanism of disease pathogenesis. These computational models and resources can help investigate how CTCF-mediated

Indexed as

3D genomecis-regulatory elementCTCFCTCF-mediated loopdeep neural networks

Identifiers

PMID37602215
PMCPMC10436006
OpenAlexW4384070931

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.