Evidence map›Paper›PMID 22815738›Full record

ArticlePloS one2012

Gene Expression Commons: an open platform for absolute gene expression profiling.

Jun Seita, Debashis Sahoo, Derrick J Rossi, Deepta Bhattacharya, Thomas Serwold, Matthew A Inlay, Lauren I R Ehrlich, John W Fathman, David L Dill, Irving L Weissman

Abstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 185 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
185citing papers in PubMed, 1 pooled it
–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

185 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  20. IL-6/gp130 signaling in CD4Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article

125 more citing papers are in PubMed but not listed here.

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

10 authors.

Jun SeitaInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, California, United States of America. jseita@stanford.edu
Debashis Sahoo
Derrick J Rossi
Deepta Bhattacharya
Thomas Serwold
Matthew A Inlay
Lauren I R Ehrlich
John W Fathman
David L Dill
Irving L Weissman

Funding

MODELING THE ROLE OF PROGRESSION IN FOLLICULAR LYMPHOMAU54CA149145 · NCI · STANFORD UNIVERSITY · PI PLEVRITIS, SYLVIA KATINA · 2010 to 2014
$12.1M
Interrogation of individual cells to identify progenitors and their nichesU01HL099999 · NHLBI · STANFORD UNIVERSITY · PI WEISSMAN, IRVING L. · 2009 to 2015
$7.8M
HSC Diversity: Regulation by Clonal Selection vs Epigenetic InductionR01CA086065 · NCI · STANFORD UNIVERSITY · PI WEISSMAN, IRVING L. · 2000 to 2017
$6.9M
TUMOR BIOLOGYT32CA009151 · NCI · STANFORD UNIVERSITY · PI CLEARY, MICHAEL L · 1985 to 2014
$5.5M
THYMIC LYMPHOCYTE DEVELOPMENTR01AI047457 · NIAID · STANFORD UNIVERSITY · PI WEISSMAN, IRVING LERNER · 2000 to 2004
$1.6M
BIOLOGY AND TRANSPLANTATION OF CLPR01AI047458 · NIAID · STANFORD UNIVERSITY · PI WEISSMAN, IRVING LERNER · 2001 to 2005
$1.5M
NCI NIH HHS 1U54 CA149145NCI NIH HHS CA09151NCI NIH HHS R01 CA086065NCI NIH HHS T32 CA009151NCI NIH HHS U54 CA149145NHLBI NIH HHS U01 HL099999NHLBI NIH HHS U01HL099999NIAID NIH HHS R01 AI047457NIAID NIH HHS R01AI047457NIAID NIH HHS R01 AI047458NIAID NIH HHS R01AI047458
6 · The paper itself

Abstract

Gene expression profiling using microarrays has been limited to comparisons of gene expression between small numbers of samples within individual experiments. However, the unknown and variable sensitivities of each probeset have rendered the absolute expression of any given gene nearly impossible to estimate. We have overcome this limitation by using a very large number (>10,000) of varied microarray data as a common reference, so that statistical attributes of each probeset, such as the dynamic range and threshold between low and high expression, can be reliably discovered through meta-analysis. This strategy is implemented in a web-based platform named "Gene Expression Commons" (https://gexc.stanford.edu/) which contains data of 39 distinct highly purified mouse hematopoietic stem/progenitor/differentiated cell populations covering almost the entire hematopoietic system. Since the Gene Expression Commons is designed as an open platform, investigators can explore the expression level of any gene, search by expression patterns of interest, submit their own microarray data, and design their own working models representing biological relationship among samples.

Indexed as

Search EngineAnimalsDatabases, GeneticGene Expression ProfilingHematopoiesisHumansMiceOligonucleotide Array Sequence AnalysisReference Standards

Identifiers

PMID22815738
PMCPMC3399844

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.