Evidence map›Paper›PMID 16415983›Full record

ArticlePLoS genetics2006

Genome-scale identification of membrane-associated human mRNAs.

Maximilian Diehn, Ramona Bhattacharya, David Botstein, Patrick O Brown

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
2.2field-weighted citation impact, top 14% 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

46 citing papers in PubMed, 91 citations in OpenAlex.

  1. Trial
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  5. Regulation and outcomes of localized RNA translation.Wiley interdisciplinary reviews. RNA · 2022
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  16. ER stress and distinct outputs of the IRE1α RNase control proliferation and senescence in response to oncogenic Ras.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  17. Article
  18. Article
  19. Review
  20. 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

4 authors at 1 institution in 1 country.

Maximilian DiehnDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, California, USA.
Ramona Bhattacharya
David Botstein
Patrick O Brown
Stanford University · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007365 · NIGMS · STANFORD UNIVERSITY · PI CHUA, KATRIN F · 1985 to 2021
$33.8M
GENE EXPRESSION IN CANCER BY MICROARRAY HYBRIDIZATIONR01CA077097 · NCI · STANFORD UNIVERSITY · PI BROWN, PATRICK O. · 1997 to 2010
$8.7M
NCI NIH HHS CA77097NCI NIH HHS R01 CA077097NIGMS NIH HHS GM07365NIGMS NIH HHS T32 GM007365
6 · The paper itself

Abstract

The subcellular localization of proteins is critical to their biological roles. Moreover, whether a protein is membrane-bound, secreted, or intracellular affects the usefulness of, and the strategies for, using a protein as a diagnostic marker or a target for therapy. We employed a rapid and efficient experimental approach to classify thousands of human gene products as either "membrane-associated/secreted" (MS) or "cytosolic/nuclear" (CN). Using subcellular fractionation methods, we separated mRNAs associated with membranes from those associated with the soluble cytosolic fraction and analyzed these two pools by comparative hybridization to DNA microarrays. Analysis of 11 different human cell lines, representing lymphoid, myeloid, breast, ovarian, hepatic, colon, and prostate tissues, identified more than 5,000 previously uncharacterized MS and more than 6,400 putative CN genes at high confidence levels. The experimentally determined localizations correlated well with in silico predictions of signal peptides and transmembrane domains, but also significantly increased the number of human genes that could be cataloged as encoding either MS or CN proteins. Using gene expression data from a variety of primary human malignancies and normal tissues, we rationally identified hundreds of MS gene products that are significantly overexpressed in tumors compared to normal tissues and thus represent candidates for serum diagnostic tests or monoclonal antibody-based therapies. Finally, we used the catalog of CN gene products to generate sets of candidate markers of organ-specific tissue injury. The large-scale annotation of subcellular localization reported here will serve as a reference database and will aid in the rational design of diagnostic tests and molecular therapies for diverse diseases.

Indexed as

Genome, HumanBiomarkers, TumorCell MembraneCell NucleusCluster AnalysisComputational BiologyCytosolHumansOligonucleotide Array Sequence AnalysisProtein Sorting SignalsRNA, MessengerSequence Analysis, DNATissue DistributionBiomarkers, TumorProtein Sorting SignalsRNA, Messenger

Identifiers

PMID16415983
PMCPMC1326219
OpenAlexW2040119910

What OpenQuestion holds

Textmetadata
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.