Evidence map›Paper›PMID 26773739›Full record

ArticleNew biotechnology2016

Characterization by mass cytometry of different methods for the preparation of muscle mononuclear cells.

Filomena Spada, Claudia Fuoco, Stefano Pirrò, Serena Paoluzi, Luisa Castagnoli, Cesare Gargioli, Gianni Cesareni

Open access · hybridAbstract readComparative Study
In one paragraph

Article in New biotechnology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Discovery of CD3Clinical and translational medicine · 2021
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Cell size assays for mass cytometry.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2017
    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 at 1 institution in 1 country.

Filomena SpadaDepartment of Biology, University of Rome Tor Vergata, Rome, Italy.
Claudia FuocoDepartment of Biology, University of Rome Tor Vergata, Rome, Italy.
Stefano PirròDepartment of Biology, University of Rome Tor Vergata, Rome, Italy.
Serena PaoluziDepartment of Biology, University of Rome Tor Vergata, Rome, Italy.
Luisa CastagnoliDepartment of Biology, University of Rome Tor Vergata, Rome, Italy.
Cesare GargioliDepartment of Biology, University of Rome Tor Vergata, Rome, Italy. Electronic address: cesare.gargioli@uniroma2.it.
Gianni CesareniDepartment of Biology, University of Rome Tor Vergata, Rome, Italy. Electronic address: cesareni@uniroma2.it.
University of Rome Tor Vergata · IT

Funding

European Research Council 322749
6 · The paper itself

Abstract

Biological processes that are mediated by cell-cell interactions in heterogeneous populations are best approached by methods that have single cell resolution. Most of these methods rely on the preparation, from solid tissues, of cell suspensions by enzymatic digestion, followed by analysis of single cell reactivity to an antibody panel that allows the discrimination of cell populations and characterization of their activation state. Thus for any specific biological problem, both efficient and at the same time mild, protocols for cell separation, together with tissue specific panels of antibodies, need to be developed and optimized. Here we characterize an antibody panel that permits the discrimination of mononuclear muscle cell populations by mass cytometry and use it to characterize the cell populations obtained by three different cell extraction procedures from muscle fibers. We show that our panel of antibodies, albeit limited and incomplete, is sufficient to discriminate most of the mononuclear muscle cell populations and that each cell extraction method yields heterogeneous cell populations with a different relative abundance of the distinct cell types.

Indexed as

AnimalsAntibodiesBiotechnologyCell DifferentiationCell SeparationFlow CytometryMass SpectrometryMiceMice, Inbred C57BLMuscle Fibers, SkeletalMuscle, SkeletalMyoblasts, SkeletalSingle-Cell AnalysisAntibodies

Identifiers

PMID26773739
PMCPMC4925466
OpenAlexW2226698068

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.