Evidence map›Paper›PMID 33213377›Full record

ArticleBMC genomics2020

Comparative analysis of the transcriptomes of EDL, psoas, and soleus muscles from mice.

Pabodha Hettige, Uzma Tahir, Kiisa C Nishikawa, Matthew J Gage

Abstract read
In one paragraph

Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Effects of SubstitutingFoods (Basel, Switzerland) · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Lumican, an Exerkine, Protects against Skeletal Muscle Loss.International journal of molecular sciences · 2022
    Article
  16. Contributions of Titin and Collagen to Passive Stress in Muscles fromInternational journal of molecular sciences · 2022
    Article
  17. Article
  18. Article
  19. Article
  20. 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

4 authors.

Pabodha HettigeDepartment of Chemistry, University of Massachusetts Lowell, Lowell, MA, 01854, USA.
Uzma TahirDepartment of Biological Sciences, Northern Arizona University, Flagstaff, AZ, 86011, USA.
Kiisa C NishikawaDepartment of Biological Sciences, Northern Arizona University, Flagstaff, AZ, 86011, USA.
Matthew J GageDepartment of Chemistry, University of Massachusetts Lowell, Lowell, MA, 01854, USA. Matthew_gage@uml.edu.ORCID http://orcid.org/0000-0003-2304-6960

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndividual skeletal muscles have evolved to perform specific tasks based on their molecular composition. In general, muscle fibers are characterized as either fast-twitch or slow-twitch based on their myosin heavy chain isoform profiles. This approach made sense in the early days of muscle studies when SDS-PAGE was the primary tool for mapping fiber type. However, Next Generation Sequencing tools permit analysis of the entire muscle transcriptome in a single sample, which allows for more precise characterization of differences among fiber types, including distinguishing between different isoforms of specific proteins. We demonstrate the power of this approach by comparing the differential gene expression patterns of extensor digitorum longus (EDL), psoas, and soleus from mice using high throughput RNA sequencing.

resultsEDL and psoas are typically classified as fast-twitch muscles based on their myosin expression pattern, while soleus is considered a slow-twitch muscle. The majority of the transcriptomic variability aligns with the fast-twitch and slow-twitch characterization. However, psoas and EDL exhibit unique expression patterns associated with the genes coding for extracellular matrix, myofibril, transcription, translation, striated muscle adaptation, mitochondrion distribution, and metabolism. Furthermore, significant expression differences between psoas and EDL were observed in genes coding for myosin light chain, troponin, tropomyosin isoforms, and several genes encoding the constituents of the Z-disk.

conclusionsThe observations highlight the intricate molecular nature of skeletal muscles and demonstrate the importance of utilizing transcriptomic information as a tool for skeletal muscle characterization.

Indexed as

Muscle Fibers, Fast-TwitchMuscle Fibers, Slow-TwitchAnimalsMiceMuscle, SkeletalMyosin Heavy ChainsTranscriptomeMyosin Heavy ChainsDifferential gene expressionFast-twitch muscleMuscle specializationRNA sequencingSlow-twitch muscleTranscriptome

Identifiers

PMID33213377
PMCPMC7678079

What OpenQuestion 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 OpenQuestion graph.