Evidence map›Paper›PMID 25727951›Full record

ReviewProteomics2015

Exposing the subunit diversity and modularity of protein complexes by structural mass spectrometry approaches.

Dror S Chorev, Gili Ben-Nissan, Michal Sharon

Abstract readReview
In one paragraph

Review in Proteomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Mass Spectrometry: A Technique of Many Faces.Quarterly reviews of biophysics · 2016
    Review
  5. 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

3 authors at 1 institution in 1 country.

Dror S ChorevDepartment of Biological Chemistry, Weizmann Institute of Science, Rehovot, Israel.
Gili Ben-NissanDepartment of Biological Chemistry, Weizmann Institute of Science, Rehovot, Israel.
Michal SharonDepartment of Biological Chemistry, Weizmann Institute of Science, Rehovot, Israel.
Weizmann Institute of Science · IL

Funding

European Research Council 636752
6 · The paper itself

Abstract

Although the number of protein-encoding genes in the human genome is only about 20 000 not far from the amount found in the nematode worm genome, the number of proteins that are translated from these sequences is larger by several orders of magnitude. A number of mechanisms have evolved to enable this diversity. For example, genes can be alternatively spliced to create multiple transcripts; they may also be translated from different alternative initiation sites. After translation, hundreds of chemical modifications can be introduced in proteins, altering their chemical properties, folding, stability, and activity. The complexity is then further enhanced by the various combinations that are generated from the assembly of different subunit variants into protein complexes. This, in turn, confers structural and functional flexibility, and endows the cell with the ability to adapt to various environmental conditions. Therefore, exposing the variability of protein complexes is an important step toward understanding their biological functions. Revealing this enormous diversity, however, is not a simple task. In this review, we will focus on the array of MS-based strategies that are capable of performing this mission. We will also discuss the challenges that lie ahead, and the future directions toward which the field might be heading.

Indexed as

Protein ConformationComputational BiologyMass SpectrometryModels, MolecularProtein Processing, Post-TranslationalProtein SubunitsProtein SubunitsBioinformaticsDiversity of proteinsProtein complexesStructural mass spectrometry

Identifiers

PMID25727951
PMCPMC5700802
OpenAlexW2051259019

What OpenQuestion holds

Textmetadata
LicenceTDM
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.