Evidence map›Paper›PMID 24090206›Full record

ArticleBMC biotechnology2013

A method for cell type marker discovery by high-throughput gene expression analysis of mixed cell populations.

Miguel A Andrade-Navarro, Femina Kanji, Carmen G Palii, Marjorie Brand, Harold Atkins, Carol Perez-Iratxeta

Abstract read
In one paragraph

Article in BMC biotechnology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Miguel A Andrade-NavarroOttawa Hospital Research Institute, 501 Smyth Road, Ottawa, Ontario K1H 8L6, Canada. cpereziratxeta@gmail.com.
Femina Kanji
Carmen G Palii
Marjorie Brand
Harold Atkins
Carol Perez-Iratxeta

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGene transcripts specifically expressed in a particular cell type (cell-type specific gene markers) are useful for its detection and isolation from a tissue or other cell mixtures. However, finding informative marker genes can be problematic when working with a poorly characterized cell type, as markers can only be unequivocally determined once the cell type has been isolated. We propose a method that could identify marker genes of an uncharacterized cell type within a mixed cell population, provided that the proportion of the cell type of interest in the mixture can be estimated by some indirect method, such as a functional assay.

resultsWe show that cell-type specific gene markers can be identified from the global gene expression of several cell mixtures that contain the cell type of interest in a known proportion by their high correlation to the concentration of the corresponding cell type across the mixtures.

conclusionsGenes detected using this high-throughput strategy would be candidate markers that may be useful in detecting or purifying a cell type from a particular biological context. We present an experimental proof-of-concept of this method using cell mixtures of various well-characterized hematopoietic cell types, and we evaluate the performance of the method in a benchmark that explores the requirements and range of validity of the approach.

Indexed as

Gene ExpressionGenetic MarkersCell Line, TumorHigh-Throughput Nucleotide SequencingHL-60 CellsHumansJurkat CellsK562 CellsTranscriptomeGenetic Markers

Identifiers

PMID24090206
PMCPMC3853712

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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.