Evidence map›Paper›PMID 27651031›Full record

ArticleTrends in cell biology2016

Compositional Dynamics: Defining the Fuzzy Cell.

Georg Kustatscher, Juri Rappsilber

Abstract read
In one paragraph

Article in Trends in cell biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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.

Georg KustatscherWellcome Trust Centre for Cell Biology, University of Edinburgh, Edinburgh EH9 3BF, UK.
Juri RappsilberWellcome Trust Centre for Cell Biology, University of Edinburgh, Edinburgh EH9 3BF, UK; Chair of Bioanalytics, Institute of Biotechnology, Technische Universität Berlin, 13355 Berlin, Germany. Electronic address: Juri.Rappsilber@ed.ac.uk.

Funding

Wellcome Trust 103139/Z/13/Z
6 · The paper itself

Abstract

Proteomic studies find many proteins in unexpected cellular locations. Can functional components of organelles be distinguished from biochemical artefacts or misguided cellular sorting? The clue might reside in compositional changes that follow biological challenges and that can be decoded by machine learning.

Indexed as

AnimalsCell CompartmentationCellsHumansOrganellesProteinsProteinscellular mapgene ontologymachine learningorganelle proteomics

Identifiers

PMID27651031
PMCPMC5080450

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.