Evidence map›Paper›PMID 39738122›Full record

ArticleNature communications2024

Footprint-C reveals transcription factor modes in local clusters and long-range chromatin interactions.

Xiaokun Liu, Hanhan Wei, Qifan Zhang, Na Zhang, Qingqing Wu, Chenhuan Xu

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Xiaokun Liu *China National Center for Bioinformation, Beijing, China.
Hanhan Wei *China National Center for Bioinformation, Beijing, China.
Qifan ZhangChina National Center for Bioinformation, Beijing, China.
Na ZhangDepartment of Ultrasound, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China.
Qingqing WuDepartment of Ultrasound, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China.
Chenhuan XuChina National Center for Bioinformation, Beijing, China. xuchh@big.ac.cn.ORCID 0000-0002-3186-494X

Funding

Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) 2020YFA0803401Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) 2022YFC2703303National Natural Science Foundation of China (National Science Foundation of China) 32070611National Natural Science Foundation of China (National Science Foundation of China) 32370624
6 · The paper itself

Abstract

The proximity ligation-based Hi-C and derivative methods are the mainstream tools to study genome-wide chromatin interactions. These methods often fragment the genome using enzymes functionally irrelevant to the interactions per se, restraining the efficiency in identifying structural features and the underlying regulatory elements. Here we present Footprint-C, which yields high-resolution chromatin contact maps built upon intact and genuine footprints protected by transcription factor (TF) binding. When analyzed at one-dimensional level, the billions of chromatin contacts from Footprint-C enable genome-wide analysis at single footprint resolution, and reveal preferential modes of local TF co-occupancy. At pairwise contact level, Footprint-C exhibits higher efficiency in identifying chromatin structural features when compared with other Hi-C methods, segregates chromatin interactions emanating from adjacent TF footprints, and uncovers multiway interactions involving different TFs. Altogether, Footprint-C results suggest that rich regulatory modes of TF may underlie both local residence and distal chromatin interactions, in terms of TF identity, valency, and conformational configuration.

Indexed as

ChromatinTranscription FactorsAnimalsBinding SitesHumansProtein BindingChromatinTranscription Factors

Identifiers

PMID39738122
PMCPMC11686180

What OpenQuestion holds

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Registered trials

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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.