Evidence map›Paper›PMID 19083121›Full record

ArticleJournal of inherited metabolic disease2009

A data-mining approach to rank candidate protein-binding partners-The case of biogenesis of lysosome-related organelles complex-1 (BLOC-1).

I A Rodriguez-Fernandez, E C Dell'Angelica

Open access · greenAbstract read
In one paragraph

Article in Journal of inherited metabolic disease, 2009. 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
1.4field-weighted citation impact, top 20% 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, 19 citations in OpenAlex.

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  6. Modeling disease mutations by gene targeting in one-cell mouse embryos.Proceedings of the National Academy of Sciences of the United States of America · 2012
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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

2 authors at 1 institution in 1 country.

I A Rodriguez-FernandezDepartment of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, California, USA.
E C Dell'Angelica
University of California, Los Angeles · US

Funding

Training Grant in Genomic Analysis and InterpretationT32HG002536 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Valerie A Arboleda, Harold Pimentel · 2002 to 2026
$8.6M
Molecular Basis for Platelet Dense Granule BiogenesisR01HL068117 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DELL'ANGELICA, ESTEBAN C · 2001 to 2004
$1.2M
NHGRI NIH HHS T32 HG002536NHLBI NIH HHS HL068117NHLBI NIH HHS R01 HL068117
6 · The paper itself

Abstract

The study of protein-protein interactions is a powerful approach to uncovering the molecular function of gene products associated with human disease. Protein-protein interaction data are accumulating at an unprecedented pace owing to interactomics projects, although it has been recognized that a significant fraction of these data likely represents false positives. During our studies of biogenesis of lysosome-related organelles complex-1 (BLOC-1), a protein complex involved in protein trafficking and containing the products of genes mutated in Hermansky-Pudlak syndrome, we faced the problem of having too many candidate binding partners to pursue experimentally. In this work, we have explored ways of efficiently gathering high-quality information about candidate binding partners and presenting the information in a visually friendly manner. We applied the approach to rank 70 candidate binding partners of human BLOC-1 and 102 candidates of its counterpart from Drosophila melanogaster. The top candidate for human BLOC-1 was the small GTPase encoded by the RAB11A gene, which is a paralogue of the Rab38 and Rab32 proteins in mammals and the lightoid gene product in flies. Interestingly, genetic analyses in D. melanogaster uncovered a synthetic sick/lethal interaction between Rab11 and lightoid. The data-mining approach described herein can be customized to study candidate binding partners for other proteins or possibly candidates derived from other types of 'omics' data.

Indexed as

Databases, GeneticAmino Acid SequenceAnimalsChromosomesDrosophila melanogasterHumansLysosomal Membrane ProteinsLysosomal Storage DiseasesNerve Tissue ProteinsOrganellesProtein Bindingrab11 GTP-Binding Proteinsrab GTP-Binding ProteinsBLOC1S1 protein, humanLysosomal Membrane ProteinsNerve Tissue Proteinsrab11 GTP-Binding Proteinsrab GTP-Binding Proteins

Identifiers

PMID19083121
PMCPMC2756288
OpenAlexW2058526221

What OpenQuestion holds

Textmetadata
LicenceTDM
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.