Evidence map›Paper›PMID 35869513›Full record

ArticleHuman genomics2022

Alternative transcription start sites contribute to acute-stress-induced transcriptome response in human skeletal muscle.

Pavel A Makhnovskii, Oleg A Gusev, Roman O Bokov, Guzel R Gazizova, Tatiana F Vepkhvadze, Evgeny A Lysenko, Olga L Vinogradova, Fedor A Kolpakov, Daniil V Popov

Open access · goldAbstract read
In one paragraph

Article in Human genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
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  4. Review
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  7. Exercise metabolism and adaptation in skeletal muscle.Nature reviews. Molecular cell biology · 2023
    Review
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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

9 authors at 5 institutions in 2 countries.

Pavel A MakhnovskiiInstitute of Biomedical Problems, Russian Academy of Sciences, Moscow, Russia, 123007.
Oleg A GusevRIKEN Center for Integrative Medical Sciences, RIKEN, Yokohama, 230-0045, Japan.
Roman O BokovInstitute of Biomedical Problems, Russian Academy of Sciences, Moscow, Russia, 123007.
Guzel R GazizovaInstitute of Fundamental Medicine and Biology, Kazan (Volga Region) Federal University, Kazan, Russia, 420012.
Tatiana F VepkhvadzeInstitute of Biomedical Problems, Russian Academy of Sciences, Moscow, Russia, 123007.
Evgeny A LysenkoInstitute of Biomedical Problems, Russian Academy of Sciences, Moscow, Russia, 123007.
Olga L VinogradovaInstitute of Biomedical Problems, Russian Academy of Sciences, Moscow, Russia, 123007.
Fedor A KolpakovInstitute of Computational Technologies, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia, 630090.
Daniil V PopovInstitute of Biomedical Problems, Russian Academy of Sciences, Moscow, Russia, 123007. danil-popov@yandex.ru.
Institute of Biomedical Problems · RULomonosov Moscow State University · RUKazan Federal University · RURIKEN Center for Integrative Medical Sciences · JPSiberian Branch of the Russian Academy of Sciences · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMore than half of human protein-coding genes have an alternative transcription start site (TSS). We aimed to investigate the contribution of alternative TSSs to the acute-stress-induced transcriptome response in human tissue (skeletal muscle) using the cap analysis of gene expression approach. TSSs were examined at baseline and during recovery after acute stress (a cycling exercise).

resultsWe identified 44,680 CAGE TSS clusters (including 3764 first defined) belonging to 12,268 genes and annotated for the first time 290 TSSs belonging to 163 genes. The transcriptome dynamically changes during the first hours after acute stress; the change in the expression of 10% of genes was associated with the activation of alternative TSSs, indicating differential TSSs usage. The majority of the alternative TSSs do not increase proteome complexity suggesting that the function of thousands of alternative TSSs is associated with the fine regulation of mRNA isoform expression from a gene due to the transcription factor-specific activation of various alternative TSSs. We identified individual muscle promoter regions for each TSS using muscle open chromatin data (ATAC-seq and DNase-seq). Then, using the positional weight matrix approach we predicted time course activation of "classic" transcription factors involved in response of skeletal muscle to contractile activity, as well as diversity of less/un-investigated factors.

conclusionsTranscriptome response induced by acute stress related to activation of the alternative TSSs indicates that differential TSSs usage is an essential mechanism of fine regulation of gene response to stress stimulus. A comprehensive resource of accurate TSSs and individual promoter regions for each TSS in muscle was created. This resource together with the positional weight matrix approach can be used to accurate prediction of TFs in any gene(s) of interest involved in the response to various stimuli, interventions or pathological conditions in human skeletal muscle.

Indexed as

Gene Expression RegulationTranscriptomeHumansMuscle, SkeletalPromoter Regions, GeneticTranscription Initiation SiteCAGEDifferential TSSs usagePromoter shiftTranscription factorTranscription start site

Identifiers

PMID35869513
PMCPMC9308330
OpenAlexW4286716674

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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 Socratic graph.