Evidence map›Paper›PMID 34203013›Full record

ArticleBiology2021

Genome-Wide Atlas of Promoter Expression Reveals Contribution of Transcribed Regulatory Elements to Genetic Control of Disuse-Mediated Atrophy of Skeletal Muscle.

Sergey S Pintus, Ilya R Akberdin, Ivan Yevshin, Pavel Makhnovskii, Oksana Tyapkina, Islam Nigmetzyanov, Leniz Nurullin, Ruslan Devyatiyarov, Elena Shagimardanova, Daniil Popov and 3 more

Open access · goldAbstract read
In one paragraph

Article in Biology, 2021. 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
0.2field-weighted citation impact, top 47% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  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

13 authors at 5 institutions in 2 countries.

Sergey S PintusLaboratory of Bioinformatics, Federal Research Center for Information and Computational Technologies, 630090 Novosibirsk, Russia.
Ilya R AkberdinLaboratory of Bioinformatics, Federal Research Center for Information and Computational Technologies, 630090 Novosibirsk, Russia.ORCID 0000-0003-0010-8620
Ivan YevshinLaboratory of Bioinformatics, Federal Research Center for Information and Computational Technologies, 630090 Novosibirsk, Russia.
Pavel MakhnovskiiInstitute of Biomedical Problems of the Russian Academy of Sciences, Moscow 123007, Russia.
Oksana TyapkinaKazan Institute of Biochemistry and Biophysics FRC Kazan Scientific Center of RAS, 420007 Kazan, Russia.ORCID 0000-0002-0622-9100
Islam NigmetzyanovExtreme Biology Laboratory, Institute of Fundamental Medicine and Biology, Kazan Federal University, 420009 Kazan, Russia.
Leniz NurullinKazan Institute of Biochemistry and Biophysics FRC Kazan Scientific Center of RAS, 420007 Kazan, Russia.ORCID 0000-0002-6383-0322
Ruslan DevyatiyarovExtreme Biology Laboratory, Institute of Fundamental Medicine and Biology, Kazan Federal University, 420009 Kazan, Russia.
Elena ShagimardanovaExtreme Biology Laboratory, Institute of Fundamental Medicine and Biology, Kazan Federal University, 420009 Kazan, Russia.ORCID 0000-0003-2339-261X
Daniil PopovInstitute of Biomedical Problems of the Russian Academy of Sciences, Moscow 123007, Russia.ORCID 0000-0002-3981-244X
Fedor A KolpakovLaboratory of Bioinformatics, Federal Research Center for Information and Computational Technologies, 630090 Novosibirsk, Russia.
Oleg GusevExtreme Biology Laboratory, Institute of Fundamental Medicine and Biology, Kazan Federal University, 420009 Kazan, Russia.
Guzel R GazizovaExtreme Biology Laboratory, Institute of Fundamental Medicine and Biology, Kazan Federal University, 420009 Kazan, Russia.
Kazan Federal University · RUSirius University of Science and Technology · RUInstitute of Biomedical Problems · RUKazan State Medical University · RUNovosibirsk State University · RU

Funding

Russian Foundation for Basic Research 17-00-00308K (17-00-00242, 17-00-00296, 17-00-00243)
6 · The paper itself

Abstract

The prevention of muscle atrophy carries with it clinical significance for the control of increased morbidity and mortality following physical inactivity. While major transcriptional events associated with muscle atrophy-recovery processes are the subject of active research on the gene level, the contribution of non-coding regulatory elements and alternative promoter usage is a major source for both the production of alternative protein products and new insights into the activity of transcription factors. We used the cap-analysis of gene expression (CAGE) to create a genome-wide atlas of promoter-level transcription in fast (m. EDL) and slow (m. soleus) muscles in rats that were subjected to hindlimb unloading and subsequent recovery. We found that the genetic regulation of the atrophy-recovery cycle in two types of muscle is mediated by different pathways, including a unique set of non-coding transcribed regulatory elements. We showed that the activation of "shadow" enhancers is tightly linked to specific stages of atrophy and recovery dynamics, with the largest number of specific regulatory elements being transcriptionally active in the muscles on the first day of recovery after a week of disuse. The developed comprehensive database of transcription of regulatory elements will further stimulate research on the gene regulation of muscle homeostasis in mammals.

Indexed as

atrophycis-regulatory elementsdisuseenhancerspromotersratRNA transcriptionskeletal musclestranscribed non-coding elements of genometranscriptomics

Identifiers

PMID34203013
PMCPMC8235325
OpenAlexW3176883421

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.