Evidence map›Paper›PMID 17923687›Full record

ArticleMolecular and cellular biology2007

Nucleolar trafficking of nucleostemin family proteins: common versus protein-specific mechanisms.

Lingjun Meng, Qubo Zhu, Robert Y L Tsai

Open access · bronzeAbstract read
In one paragraph

Article in Molecular and cellular biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

36 citing papers in PubMed, 53 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.

Lingjun MengCenter for Cancer and Stem Cell Biology, Alkek Institute of Biosciences and Technology, Texas A&M Health Science Center, 2121 W Holcombe Blvd., Houston, TX 77030, USA.
Qubo Zhu
Robert Y L Tsai
Texas A&M Health Science Center · US

Funding

Stem-like Cancer Cells in Breast TumorigenesisR01CA113750 · NCI · TEXAS A&M UNIVERSITY HEALTH SCIENCE CTR · PI TSAI, ROBERT Y · 2005 to 2009
$1.2M
NCI NIH HHS CA113750NCI NIH HHS R01 CA113750
6 · The paper itself

Abstract

The nucleolus has begun to emerge as a subnuclear organelle capable of modulating the activities of nuclear proteins in a dynamic and cell type-dependent manner. It remains unclear whether one can extrapolate a rule that predicts the nucleolar localization of multiple proteins based on protein sequence. Here, we address this issue by determining the shared and unique mechanisms that regulate the static and dynamic distributions of a family of nucleolar GTP-binding proteins, consisting of nucleostemin (NS), guanine nucleotide binding protein-like 3 (GNL3L), and Ngp1. The nucleolar residence of GNL3L is short and primarily controlled by its basic-coiled-coil domain, whereas the nucleolar residence of NS and Ngp1 is long and requires the basic and the GTP-binding domains, the latter of which functions as a retention signal. All three proteins contain a nucleoplasmic localization signal (NpLS) that prevents their nucleolar accumulation. Unlike that of the basic domain, the activity of NpLS is dynamically controlled by the GTP-binding domain. The nucleolar retention and the NpLS-regulating functions of the G domain involve specific residues that cannot be predicted by overall protein homology. This work reveals common and protein-specific mechanisms underlying the nucleolar movement of NS family proteins.

Indexed as

Amino Acid SequenceCell Line, TumorCell NucleolusGTP-Binding ProteinsHumansMolecular Sequence DataMutationPhylogenyProtein Structure, TertiaryProtein TransportSequence Homology, Amino AcidGTP-Binding Proteins

Identifiers

PMID17923687
PMCPMC2169394
OpenAlexW2099729010

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.