Evidence map›Paper›PMID 18698424›Full record

ArticlePloS one2008

Meta-analysis of microarray studies reveals a novel hematopoietic progenitor cell signature and demonstrates feasibility of inter-platform data integration.

Davendra Sohal, Andrew Yeatts, Kenny Ye, Andrea Pellagatti, Li Zhou, Perry Pahanish, Yongkai Mo, Tushar Bhagat, John Mariadason, Jacqueline Boultwood and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

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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

13 authors at 2 institutions in 2 countries.

Davendra SohalAlbert Einstein College of Medicine, Bronx, New York, United States of America.
Andrew Yeatts
Kenny Ye
Andrea Pellagatti
Li Zhou
Perry Pahanish
Yongkai Mo
Tushar Bhagat
John Mariadason
Jacqueline Boultwood
Ari Melnick
John Greally
Amit Verma
Albert Einstein College of Medicine · USJohn Radcliffe Hospital · GB

Funding

IMMUNOLOGY AND IMMUNUNOOCOLOGY TRAINING PROGRAMT32CA009173 · NCI · YESHIVA UNIVERSITY · PI NATHENSON, STANLEY G · 1985 to 2009
$5.8M
p38 MAPK--Therapeutic target in Myelodysplastic syndromeR01HL082946 · NHLBI · ALBERT EINSTEIN COL OF MED YESHIVA UNIV · PI VERMA, AMIT K. · 2005 to 2009
$1.7M
NCI NIH HHS T32 CA009173NHLBI NIH HHS 1R01HL082946NHLBI NIH HHS R01 HL082946NIA NIH HHS R01AG02913801
6 · The paper itself

Abstract

Microarray-based studies of global gene expression (GE) have resulted in a large amount of data that can be mined for further insights into disease and physiology. Meta-analysis of these data is hampered by technical limitations due to many different platforms, gene annotations and probes used in different studies. We tested the feasibility of conducting a meta-analysis of GE studies to determine a transcriptional signature of hematopoietic progenitor and stem cells. Data from studies that used normal bone marrow-derived hematopoietic progenitors was integrated using both RefSeq and UniGene identifiers. We observed that in spite of variability introduced by experimental conditions and different microarray platforms, our meta-analytical approach can distinguish biologically distinct normal tissues by clustering them based on their cell of origin. When studied in terms of disease states, GE studies of leukemias and myelodysplasia progenitors tend to cluster with normal progenitors and remain distinct from other normal tissues, further validating the discriminatory power of this meta-analysis. Furthermore, analysis of 57 normal hematopoietic stem and progenitor cell GE samples was used to determine a gene expression signature characteristic of these cells. Genes that were most uniformly expressed in progenitors and at the same time differentially expressed when compared to other normal tissues were found to be involved in important biological processes such as cell cycle regulation and hematopoiesis. Validation studies using a different microarray platform demonstrated the enrichment of several genes such as SMARCE, Septin 6 and others not previously implicated in hematopoiesis. Most interestingly, alpha-integrin, the only common stemness gene discovered in a recent comparative murine analysis (Science 302(5644):393) was also enriched in our dataset, demonstrating the usefulness of this analytical approach.

Indexed as

Gene ExpressionOligonucleotide Array Sequence AnalysisAntigens, CDBone Marrow CellsCells, CulturedDatabases, GeneticFemaleGene Expression ProfilingHematopoietic Stem CellsHumansMaleMeta-Analysis as TopicOrgan SpecificityReference ValuesAntigens, CD

Identifiers

PMID18698424
PMCPMC2495035
OpenAlexW1979075595

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.