Evidence map›Paper›PMID 38285653›Full record

ArticlePloS one2024

The profile of genome-wide DNA methylation, transcriptome, and proteome in streptomycin-resistant Mycobacterium tuberculosis.

Zhuhua Wu, Haicheng Li, Jiawen Wu, Xiaoyu Lai, Shanshan Huang, Meiling Yu, Qinghua Liao, Chenchen Zhang, Lin Zhou, Xunxun Chen and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2024. 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
2.3field-weighted citation impact, top 13% 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.

  1. Review
  2. Drug resistance mechanisms inFrontiers in pharmacology · 2026
    Review
  3. ENcyclopedia of TRAnscription Factors in Bacteria and Archaea genomes (ENTRAF) version 2.0.Database : the journal of biological databases and curation · 2025
    Article
  4. 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

12 authors at 3 institutions in 1 country.

Zhuhua WuCenter for Tuberculosis Control of Guangdong Province, Guangzhou, China.
Haicheng LiCenter for Tuberculosis Control of Guangdong Province, Guangzhou, China.
Jiawen WuInstitute for tuberculosis control of Zhaoqing, Zhaoqing, China.
Xiaoyu LaiCenter for Tuberculosis Control of Guangdong Province, Guangzhou, China.
Shanshan HuangCenter for Tuberculosis Control of Guangdong Province, Guangzhou, China.ORCID 0000-0002-7239-0955
Meiling YuCenter for Tuberculosis Control of Guangdong Province, Guangzhou, China.
Qinghua LiaoCenter for Tuberculosis Control of Guangdong Province, Guangzhou, China.
Chenchen ZhangCenter for Tuberculosis Control of Guangdong Province, Guangzhou, China.
Lin ZhouCenter for Tuberculosis Control of Guangdong Province, Guangzhou, China.
Xunxun ChenCenter for Tuberculosis Control of Guangdong Province, Guangzhou, China.
Huixin GuoCenter for Tuberculosis Control of Guangdong Province, Guangzhou, China.
Liang ChenCenter for Tuberculosis Control of Guangdong Province, Guangzhou, China.ORCID 0000-0003-0821-5682
Center for Tuberculosis Control of Guangdong Province · CNSun Yat-sen University · CNZhaoqing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Streptomycin-resistant (SM-resistant) Mycobacterium tuberculosis (M. tuberculosis) is a major concern in tuberculosis (TB) treatment. However, the mechanisms underlying streptomycin resistance remain unclear. This study primarily aimed to perform preliminary screening of genes associated with streptomycin resistance through conjoint analysis of multiple genomics. Genome-wide methylation, transcriptome, and proteome analyses were used to elucidate the associations between specific genes and streptomycin resistance in M. tuberculosis H37Rv. Methylation analysis revealed that 188 genes were differentially methylated between the SM-resistant and normal groups, with 89 and 99 genes being hypermethylated and hypomethylated, respectively. Furthermore, functional analysis revealed that these 188 differentially methylated genes were enriched in 74 pathways, with most of them being enriched in metabolic pathways. Transcriptome analysis revealed that 516 genes were differentially expressed between the drug-resistant and normal groups, with 263 and 253 genes being significantly upregulated and downregulated, respectively. KEGG analysis indicated that these 516 genes were enriched in 79 pathways, with most of them being enriched in histidine metabolism. The methylation level was negatively related to mRNA abundance. Proteome analysis revealed 56 differentially expressed proteins, including 14 upregulated and 42 downregulated proteins. Moreover, three hub genes (coaE, fadE5, and mprA) were obtained using synthetic analysis. The findings of this study suggest that an integrated DNA methylation, transcriptome, and proteome analysis can provide important resources for epigenetic studies in SM-resistant M. tuberculosis H37Rv.

Indexed as

Mycobacterium tuberculosisTuberculosis, Multidrug-ResistantDNA MethylationHumansProteomeStreptomycinTranscriptomeProteomeStreptomycin

Identifiers

PMID38285653
PMCPMC10824437
OpenAlexW4391308804

What OpenQuestion holds

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LicenceCC BY
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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.