Evidence map›Paper›PMID 12429849›Full record

ArticleMolecular biology of the cell2002

Functional proteomic analysis of human nucleolus.

Alexander Scherl, Yohann Couté, Catherine Déon, Aleth Callé, Karine Kindbeiter, Jean-Charles Sanchez, Anna Greco, Denis Hochstrasser, Jean-Jacques Diaz

Abstract read
In one paragraph

Article in Molecular biology of the cell, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 203 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
203citing 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

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

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  13. PARP-1 negatively regulates nucleolar protein pool and mitochondrial activity: a cell protective mechanism.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2024
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143 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

9 authors.

Alexander ScherlCentral Clinical Chemistry Laboratory, Geneva University Hospital, 1211 Geneva 14, Switzerland.
Yohann Couté
Catherine Déon
Aleth Callé
Karine Kindbeiter
Jean-Charles Sanchez
Anna Greco
Denis Hochstrasser
Jean-Jacques Diaz

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The notion of a "plurifunctional" nucleolus is now well established. However, molecular mechanisms underlying the biological processes occurring within this nuclear domain remain only partially understood. As a first step in elucidating these mechanisms we have carried out a proteomic analysis to draw up a list of proteins present within nucleoli of HeLa cells. This analysis allowed the identification of 213 different nucleolar proteins. This catalog complements that of the 271 proteins obtained recently by others, giving a total of approximately 350 different nucleolar proteins. Functional classification of these proteins allowed outlining several biological processes taking place within nucleoli. Bioinformatic analyses permitted the assignment of hypothetical functions for 43 proteins for which no functional information is available. Notably, a role in ribosome biogenesis was proposed for 31 proteins. More generally, this functional classification reinforces the plurifunctional nature of nucleoli and provides convincing evidence that nucleoli may play a central role in the control of gene expression. Finally, this analysis supports the recent demonstration of a coupling of transcription and translation in higher eukaryotes.

Indexed as

ProteomeCell NucleolusComputational BiologyDatabases, ProteinHeLa CellsHumansNuclear ProteinsPeptide MappingNuclear ProteinsProteome

Identifiers

PMID12429849
PMCPMC133617

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.