Evidence map›Paper›PMID 16938898›Full record

ReviewGenome biology2006

The subcellular localization of the mammalian proteome comes a fraction closer.

Jeremy C Simpson, Rainer Pepperkok

Abstract readReview
In one paragraph

Review in Genome biology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. Article
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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.

Jeremy C SimpsonCell Biology and Biophysics Unit, European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany. simpson@embl.de
Rainer Pepperkok

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Another step along the road towards determining the subcellular localization of a complete mammalian proteome has been taken with a study using cellular fractionation and protein correlation profiling to identify and localize organellar proteins. Here we discuss this new work in the context of other strategies for large-scale subcellular localization.

Indexed as

AnimalsComputational BiologyGene Expression RegulationHumansMass SpectrometryMiceOpen Reading FramesProteomeSubcellular FractionsProteome

Identifiers

PMID16938898
PMCPMC1779544

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.