Evidence map›Paper›PMID 29674978›Full record

ArticleFrontiers in physiology2018

Reporter-Based Isolation of Developmental Myogenic Progenitors.

Eyemen Kheir, Gabriella Cusella, Graziella Messina, Giulio Cossu, Stefano Biressi

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2018. 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
–field-weighted citation impact, top 97% 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, 2 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

5 authors at 5 institutions in 2 countries.

Eyemen KheirCentre for Integrative Biology (CIBIO), University of Trento, Trento, Italy.
Gabriella CusellaHuman Anatomy Unit, Department of Public Health, Experimental Medicine and Forensic, University of Pavia, Pavia, Italy.
Graziella MessinaDepartment of Biosciences, University of Milan, Milan, Italy.
Giulio CossuDivision of Cell Matrix Biology and Regenerative Medicine, Manchester Academic Health Science Centre, University of Manchester, Manchester, United Kingdom.
Stefano BiressiCentre for Integrative Biology (CIBIO), University of Trento, Trento, Italy.
Dulbecco Telethon Institute · ITUniversity of Manchester · GBUniversity of Milan · ITUniversity of Pavia · ITUniversity of Trento · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The formation and activity of mammalian tissues entail finely regulated processes, involving the concerted organization and interaction of multiple cell types. In recent years the prospective isolation of distinct progenitor and stem cell populations has become a powerful tool in the hands of developmental biologists and has rendered the investigation of their intrinsic properties possible. In this protocol, we describe how to purify progenitors with different lineage history and degree of differentiation from embryonic and fetal skeletal muscle by fluorescence-activated cell sorting (FACS). The approach takes advantage of a panel of murine strains expressing fluorescent reporter genes specifically in the myogenic progenitors. We provide a detailed description of the dissection procedures and of the enzymatic dissociation required to maximize the yield of mononucleated cells for subsequent FACS-based purification. The procedure takes ~6-7 h to complete and allows for the isolation and the subsequent molecular and phenotypic characterization of developmental myogenic progenitors.

Indexed as

embryonic myoblastsFACSfetal myoblatsmyf5reporter lines

Identifiers

PMID29674978
PMCPMC5895918
OpenAlexW2795762282

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.