Evidence map›Paper›PMID 33377112›Full record

ArticleSTAR protocols2020

Mapping protein networks in yeast mitochondria using proximity-dependent biotin identification coupled to proteomics.

Roger Salvatori, Wasim Aftab, Ignasi Forne, Axel Imhof, Martin Ott, Abeer Prakash Singh

Open access · goldAbstract read
In one paragraph

Article in STAR protocols, 2020. 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
0.1field-weighted citation impact, top 54% 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

4 citing papers in PubMed, 4 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

6 authors at 2 institutions in 2 countries.

Roger SalvatoriDepartment of Biochemistry and Biophysics, Stockholm University, Stockholm 10691, Sweden.
Wasim AftabBioMedical Center, Faculty of Medicine, Ludwig Maximilians University of Munich, Planegg-Martinsried 82152, Germany.
Ignasi ForneBioMedical Center, Faculty of Medicine, Ludwig Maximilians University of Munich, Planegg-Martinsried 82152, Germany.
Axel ImhofBioMedical Center, Faculty of Medicine, Ludwig Maximilians University of Munich, Planegg-Martinsried 82152, Germany.
Martin OttDepartment of Biochemistry and Biophysics, Stockholm University, Stockholm 10691, Sweden.
Abeer Prakash SinghDepartment of Biochemistry and Biophysics, Stockholm University, Stockholm 10691, Sweden.
Ludwig-Maximilians-Universität München · DEStockholm University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proximity-dependent biotin identification (BioID) permits biotinylation of proteins interacting directly, indirectly, or just localized in proximity of a protein of interest (bait). Here, we describe how BioID coupled to proteomics and network biology can be used to map protein proximities in yeast mitochondria, aiding in visualization of complex protein-protein interaction landscapes. For complete information on the use and execution of this protocol, please refer to Singh et al., 2020.

Indexed as

BiotinBiotinylationComputational BiologyMitochondriaProtein BindingProtein Interaction MappingProteinsProteomicsSaccharomyces cerevisiaeBiotinProteinsBioinformaticsMolecular BiologyProtein BiochemistryProteomics

Identifiers

PMID33377112
PMCPMC7757666
OpenAlexW3114206040

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.