Evidence map›Paper›PMID 20190736›Full record

ArticleNature2010

Systems survey of endocytosis by multiparametric image analysis.

Claudio Collinet, Martin Stöter, Charles R Bradshaw, Nikolay Samusik, Jochen C Rink, Denise Kenski, Bianca Habermann, Frank Buchholz, Robert Henschel, Matthias S Mueller and 4 more

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Nature, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 227 papers.

0numbers the graph read from it
0cells of the map it votes in
227citing 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

227 citing papers in PubMed.

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167 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Claudio CollinetMax Planck Institute for Molecular Cell Biology and Genetics, Germany.
Martin Stöter
Charles R Bradshaw
Nikolay Samusik
Jochen C Rink
Denise Kenski
Bianca Habermann
Frank Buchholz
Robert Henschel
Matthias S Mueller
Wolfgang E Nagel
Eugenio Fava
Yannis Kalaidzidis
Marino Zerial

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endocytosis is a complex process fulfilling many cellular and developmental functions. Understanding how it is regulated and integrated with other cellular processes requires a comprehensive analysis of its molecular constituents and general design principles. Here, we developed a new strategy to phenotypically profile the human genome with respect to transferrin (TF) and epidermal growth factor (EGF) endocytosis by combining RNA interference, automated high-resolution confocal microscopy, quantitative multiparametric image analysis and high-performance computing. We identified several novel components of endocytic trafficking, including genes implicated in human diseases. We found that signalling pathways such as Wnt, integrin/cell adhesion, transforming growth factor (TGF)-beta and Notch regulate the endocytic system, and identified new genes involved in cargo sorting to a subset of signalling endosomes. A systems analysis by Bayesian networks further showed that the number, size, concentration of cargo and intracellular position of endosomes are not determined randomly but are subject to specific regulation, thus uncovering novel properties of the endocytic system.

Indexed as

Image Processing, Computer-AssistedComputing MethodologiesEndocytosisEndosomesEpidermal Growth FactorGene Expression ProfilingGenome-Wide Association StudyHumansMetabolic Networks and PathwaysMicroscopy, ConfocalPhenotypeProtein TransportRNA InterferenceSignal TransductionTransferrinEpidermal Growth FactorTransferrin

Identifiers

PMID20190736

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.