Evidence map›Paper›PMID 41261858›Full record

ArticleNucleic acids research2025

Massive deciphering of the tissue nucleic acid-binding proteome via affinity chromatography integrated with data-independent acquisition-based proteomics.

Huiyu Wang, Jianzheng Zhu, Suntao Li, Lu Zhang, Miao Guo, Jiaqi Zhao, Yan Zhang, Chengxi Cao, Shen Hu, Hua Xiao

Abstract read
In one paragraph

Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Huiyu WangState Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.
Jianzheng ZhuState Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.
Suntao LiState Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0009-0004-9536-1702
Lu ZhangState Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.
Miao GuoState Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.
Jiaqi ZhaoState Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.
Yan ZhangShanghai Frontiers Science Center of Drug Target Identification and Delivery, School of Pharmacy, Shanghai Jiao Tong University, Shanghai 200240, China.
Chengxi CaoDepartment of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
Shen HuJonsson Comprehensive Cancer Center and California NanoSystems Institute, University of California, Los Angeles, CA 90095, USA.
Hua XiaoState Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0002-2831-0436

Funding

Key Scientific Project of Shanghai Jiao Tong University TMSK-2020-130National Natural Science Foundation of China 22374098Natural Science Foundation of Shanghai 23ZR1434200
6 · The paper itself

Abstract

The development of inflammatory bowel disease is driven by transcriptional and epigenetic regulators of the nucleic acid-binding proteome (NABPome). However, comprehensive analysis of NABPome composition and dynamics remains challenging due to the lack of an in-depth proteomics strategy. Here, we developed an NABP-DIA methodology that integrates NABPome capture with data-independent acquisition (DIA)-based proteomics. Using NABP-DIA with an experimentally generated spectral library, we achieved a 2.1-fold increase in NABP identification, with improved quantification accuracy and specificity. Applying this method to a colitis model, we identified 118 and 25 differentially expressed NABPs in the mouse spleen and thymus, respectively. Among them, spleen proteins associated with histone methylation were significantly elevated in the colitis group. Further experiments demonstrated that inhibition of H3K27me3 histone methylation reduced the release of inflammatory factors, suggesting that epigenetic modulation may represent a promising therapeutic approach for colitis.

Indexed as

Chromatography, AffinityDNA-Binding ProteinsProteomeProteomicsAnimalsColitisDisease Models, AnimalEpigenesis, GeneticHistonesMethylationMiceMice, Inbred C57BLSpleenThymus GlandDNA-Binding ProteinsHistonesProteome

Identifiers

PMID41261858
PMCPMC12630134

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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.