Evidence map›Paper›PMID 33654874›Full record

ArticleBio-protocol2019

Isolation and Transcriptomic Profiling of Single Myofibers from Mice.

Francesco Chemello, Enrico Alessio, Lisa Buson, Beniamina Pacchioni, Caterina Millino, Gerolamo Lanfranchi, Stefano Cagnin

Abstract read
In one paragraph

Article in Bio-protocol, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Single-Cell RNAseq Analysis of lncRNAs.Methods in molecular biology (Clifton, N.J.) · 2021
    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

7 authors.

Francesco ChemelloDepartment of Biology, University of Padova, Padova, Italy.
Enrico AlessioDepartment of Biology, University of Padova, Padova, Italy.
Lisa BusonDepartment of Biology, University of Padova, Padova, Italy.
Beniamina PacchioniDepartment of Biology, University of Padova, Padova, Italy.
Caterina MillinoDepartment of Biology, University of Padova, Padova, Italy.
Gerolamo LanfranchiDepartment of Biology, University of Padova, Padova, Italy.
Stefano CagninDepartment of Biology, University of Padova, Padova, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skeletal muscle is composed of different cells and myofiber types, with distinct metabolic and structural features. Generally, transcriptomic analysis of skeletal muscle is performed using whole muscle, resulting in average information as all cells composing the organ contribute to the expression value detected for each gene with the loss of information about the distinctive features of each specific myofiber type. Since myofibers are the smallest complete contractile system of skeletal muscle influencing its contraction velocity and metabolism, it would be beneficial to have fiber-specific information about gene expression. Here, we describe a protocol for the isolation and the transcriptomic analysis of single individual myofibers. The protocol was set up using single myofibers isolated from

Indexed as

miRNAsNon-coding RNAsRegulatory networkSingle myofiberSkeletal muscleTranscriptomic analysis

Identifiers

PMID33654874
PMCPMC7853945

What OpenQuestion holds

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Registered trials

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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.