Evidence map›Paper›PMID 32911660›Full record

ArticleInternational journal of molecular sciences2020

FACS-Based Proteomics Enables Profiling of Proteins in Rare Cell Populations.

Evelyne Maes, Nathalie Cools, Hanny Willems, Geert Baggerman

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

13 citing papers in PubMed, 21 citations in OpenAlex.

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  12. Characterization of Arbuscular Mycorrhizal Effector Proteins.International journal of molecular sciences · 2023
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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 at 2 institutions in 2 countries.

Evelyne MaesFood & Bio-Based Products, AgResearch Ltd., Lincoln 7674, New Zealand.ORCID 0000-0002-1461-6039
Nathalie CoolsLaboratory of Experimental Hematology, Faculty of Medicine and Health Sciences, Vaccine and Infectious Disease Institute (VaxInfectio), Antwerp University Hospital (UZA), University of Antwerp, 2020 Antwerpen, Belgium.
Hanny WillemsCentre for Proteomics, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerpen, Belgium.
Geert BaggermanCentre for Proteomics, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerpen, Belgium.ORCID 0000-0002-0661-931X
University of Antwerp · BEAgResearch · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding disease pathology often does not require an overall proteomic analysis of clinical samples but rather the analysis of different, often rare, subpopulations of cells in a heterogeneous mixture of cell types. For the isolation of pre-specified cellular subtypes, fluorescence activated cell sorting (FACS) is commonly used for its ability to isolate the required cell populations with high purity, even of scarce cell types. The proteomic analysis of a limited number of FACS-sorted cells, however, is very challenging as both sample preparation inefficiencies and limits in terms of instrument sensitivity are present. In this study, we used CD14+CD15+ immune cells sorted out of peripheral blood mononuclear cells isolated from whole blood to improve and evaluate FACS-based proteomics. To optimize both the protein extraction protocol and the mass spectrometry (MS) data acquisition method, PBMCs as well as commercialized HeLa digest were used. To reflect the limited number of sorted cells in some clinical samples, different numbers of sorted cells (1000, 5000, 10,000, or 50,000) were used. This allowed comparing protein profiles across samples with limited protein material and provided further insights in the benefits and limitations of using a very limited numbers of cells.

Indexed as

Cell SeparationFlow CytometryHeLa CellsHumansLeukocytesLeukocytes, MononuclearMass SpectrometryProteomeProteomicsProteomecellular heterogeneityFACSproteomics

Identifiers

PMID32911660
PMCPMC7554798
OpenAlexW3084398621

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.