Evidence map›Paper›PMID 37819762›Full record

ArticleSTAR protocols2023

A flow-cytometry-based pipeline for the rapid quantification of C2C12 cell differentiation.

Bianca Parisi, Maxime Sünnen, Rohan Chippalkatti, Daniel Kwaku Abankwa

Abstract read
In one paragraph

Article in STAR protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Quantification of C2C12 Myoblast Differentiation by Flow Cytometry.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  4. Article
  5. 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.

Bianca ParisiCancer Cell Biology and Drug Discovery Group, Department of Life Sciences and Medicine, University of Luxembourg, 4362 Esch-sur-Alzette, Luxembourg.
Maxime SünnenCancer Cell Biology and Drug Discovery Group, Department of Life Sciences and Medicine, University of Luxembourg, 4362 Esch-sur-Alzette, Luxembourg.
Rohan ChippalkattiCancer Cell Biology and Drug Discovery Group, Department of Life Sciences and Medicine, University of Luxembourg, 4362 Esch-sur-Alzette, Luxembourg. Electronic address: rohan.chippalkatti@uni.lu.
Daniel Kwaku AbankwaCancer Cell Biology and Drug Discovery Group, Department of Life Sciences and Medicine, University of Luxembourg, 4362 Esch-sur-Alzette, Luxembourg. Electronic address: daniel.abankwa@uni.lu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The C2C12 cell line represents a simple in vitro model for cell differentiation. Here, we present a flow-cytometry-based pipeline to quantitate C2C12 cell differentiation based on myosin heavy-chain marker expression. We describe steps for cell seeding, transfection, drug treatment, differentiation, and labeling. We then detail procedures for flow cytometry acquisition and introduce the R script FlowFate for automated analysis, including the study of dose-dependent effects of GFP-tagged genes on differentiation. For complete details on the use and execution of this protocol, please refer to Chippalkatti et al. (2023).

Indexed as

Flow CytometryCell DifferentiationCell LineGenes, ReporterTransfectionCancerCell BiologyMolecular Biology

Identifiers

PMID37819762
PMCPMC10568640

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.