Evidence map›Paper›PMID 37697433›Full record

ArticleNucleic acids research2023

Assessing base-resolution DNA mechanics on the genome scale.

Wen-Jie Jiang, Congcong Hu, Futing Lai, Weixiong Pang, Xinyao Yi, Qianyi Xu, Haojie Wang, Jialu Zhou, Hanwen Zhu, Chunge Zhong and 8 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.3field-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

7 citing papers in PubMed, 9 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

18 authors at 10 institutions in 2 countries.

Wen-Jie JiangKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, 100142 Beijing, China.
Congcong HuDepartment of Mathematics, Shanghai Normal University, 200234 Shanghai, China.
Futing LaiSchool of Basic Medical Sciences, Center for Precision Medicine Multi-Omics Research, Peking University Health Science Center, 102206 Beijing, China.
Weixiong PangDepartment of Mathematics, Shanghai Ocean University, 201306 Shanghai, China.
Xinyao YiDepartment of Mathematics, Shanghai Normal University, 200234 Shanghai, China.
Qianyi XuUniversity of California, San Diego, CA 92103, USA.
Haojie WangInstitute of Genetics and Developmental Biology, Chinese Academy of Sciences, 100101 Beijing, China.
Jialu ZhouDepartment of Gynecology and Obstetrics, Chinese PLA General Hospital, 100853 Beijing, China.
Hanwen ZhuSchool of Basic Medical Sciences, Center for Precision Medicine Multi-Omics Research, Peking University Health Science Center, 102206 Beijing, China.
Chunge ZhongCollege of Life and Health Sciences, Northeastern University, 110819 Shenyang, China.
Zeyu KuangSchool of Basic Medical Sciences, Center for Precision Medicine Multi-Omics Research, Peking University Health Science Center, 102206 Beijing, China.
Ruiqi FanCentral Laboratory, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, 100142 Beijing, China.
Jing ShenCentral Laboratory, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, 100142 Beijing, China.
Xiaorui ZhouKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, 100142 Beijing, China.
Yu-Juan WangKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, 100142 Beijing, China.
Catherine C L WongDepartment of Medical Research Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, 100730 Beijing, China.
Xiaoqi ZhengCenter for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.
Hua-Jun WuKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, 100142 Beijing, China.
Peking University · CNPeking University Cancer Hospital · CNShanghai Normal University · CNChinese PLA General Hospital · CNInstitute of Genetics and Developmental Biology · CNNortheastern University · CNPeking Union Medical College Hospital · CNShanghai Jiao Tong University · CNShanghai Ocean University · CNUniversity of California, San Diego · US

Funding

Fundamental Research Funds for the Central Universities PKU2022LCXQ027National Key R&D Program of China 2021YFC1712805National Natural Science Foundation of China 32270683Natural Science Foundation of Shanghai 20JC1413800
6 · The paper itself

Abstract

Intrinsic DNA properties including bending play a crucial role in diverse biological systems. A recent advance in a high-throughput technology called loop-seq makes it possible to determine the bendability of hundred thousand 50-bp DNA duplexes in one experiment. However, it's still challenging to assess base-resolution sequence bendability in large genomes such as human, which requires thousands of such experiments. Here, we introduce 'BendNet'-a deep neural network to predict the intrinsic DNA bending at base-resolution by using loop-seq results in yeast as training data. BendNet can predict the DNA bendability of any given sequence from different species with high accuracy. To explore the utility of BendNet, we applied it to the human genome and observed DNA bendability is associated with chromatin features and disease risk regions involving transcription/enhancer regulation, DNA replication, transcription factor binding and extrachromosomal circular DNA generation. These findings expand our understanding on DNA mechanics and its association with transcription regulation in mammals. Lastly, we built a comprehensive resource of genomic DNA bendability profiles for 307 species by applying BendNet, and provided an online tool to assess the bendability of user-specified DNA sequences (http://www.dnabendnet.com/).

Indexed as

DNAGenome, HumanNucleic Acid ConformationAnimalsChromatinGenomicsHumansNeural Networks, ComputerSequence Analysis, DNAChromatinDNA

Identifiers

PMID37697433
PMCPMC10570052
OpenAlexW4386624391

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.