Evidence map›Paper›PMID 16769818›Full record

ArticleThe Journal of cell biology2006

TIP47 is a key effector for Rab9 localization.

Dikran Aivazian, Ramon L Serrano, Suzanne Pfeffer

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of cell biology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

56 citing papers in PubMed, 97 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

3 authors at 1 institution in 1 country.

Dikran AivazianDepartment of Biochemistry, Stanford University School of Medicine, Stanford, CA 94305, USA.
Ramon L Serrano
Suzanne Pfeffer
Stanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human genome encodes approximately 70 Rab GTPases that localize to the surfaces of distinct membrane compartments. To investigate the mechanism of Rab localization, chimeras containing heterologous Rab hypervariable domains were generated, and their ability to bind seven Rab effectors was quantified. Two chimeras could bind effectors for two distinctly localized Rabs; a Rab5/9 hybrid bound both Rab5 and Rab9 effectors, and a Rab1/9 hybrid bound to certain Rab1 and Rab9 effectors. These unusual chimeras permitted a test of the importance of effector binding for Rab localization. In both cases, changing the cellular concentration of a key Rab9 effector, which is called tail-interacting protein of 47 kD, moved a fraction of the proteins from their parental Rab localization to that of Rab9. Thus, relative concentrations of certain competing effectors could determine a chimera's localization. These data confirm the importance of effector interactions for Rab9 localization, and support a model in which effector proteins rely on Rabs as much as Rabs rely on effectors to achieve their correct steady state localizations.

Indexed as

Binding, CompetitiveDNA-Binding ProteinsEndosomesGreen Fluorescent ProteinsHeLa CellsHumansIntracellular Signaling Peptides and ProteinsModels, BiologicalPerilipin-3Pregnancy ProteinsProtein Structure, Tertiaryrab1 GTP-Binding Proteinsrab5 GTP-Binding Proteinsrab GTP-Binding ProteinsRecombinant Fusion ProteinsVesicular Transport ProteinsDNA-Binding ProteinsGreen Fluorescent ProteinsIntracellular Signaling Peptides and ProteinsPerilipin-3PLIN3 protein, humanPregnancy Proteinsrab1 GTP-Binding Proteinsrab5 GTP-Binding ProteinsRAB9A protein, humanRABEP1 protein, humanrab GTP-Binding ProteinsRecombinant Fusion ProteinsVesicular Transport Proteins

Identifiers

PMID16769818
PMCPMC2063917
OpenAlexW2099396320

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.