Evidence map›Paper›PMID 33592209›Full record

ArticleBiochimica et biophysica acta. Bioenergetics2021

Quantitative density gradient analysis by mass spectrometry (qDGMS) and complexome profiling analysis (ComPrAn) R package for the study of macromolecular complexes.

Petra Páleníková, Michael E Harbour, Shujing Ding, Ian M Fearnley, Lindsey Van Haute, Joanna Rorbach, Rick Scavetta, Michal Minczuk, Pedro Rebelo-Guiomar

Open access · hybridAbstract read
In one paragraph

Article in Biochimica et biophysica acta. Bioenergetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 28 citations in OpenAlex.

  1. Mass spectrometry proteomics for studying mitostasis.Protein science : a publication of the Protein Society · 2026
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  9. Complexome Profiling: Assembly and Remodeling of Protein Complexes.International journal of molecular sciences · 2021
    Review
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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

9 authors at 2 institutions in 1 country.

Petra PáleníkováMRC Mitochondrial Biology Unit, University of Cambridge, Cambridge CB2 0XY, United Kingdom.
Michael E HarbourMRC Mitochondrial Biology Unit, University of Cambridge, Cambridge CB2 0XY, United Kingdom.
Shujing DingMRC Mitochondrial Biology Unit, University of Cambridge, Cambridge CB2 0XY, United Kingdom.
Ian M FearnleyMRC Mitochondrial Biology Unit, University of Cambridge, Cambridge CB2 0XY, United Kingdom.
Lindsey Van HauteMRC Mitochondrial Biology Unit, University of Cambridge, Cambridge CB2 0XY, United Kingdom.
Joanna RorbachMRC Mitochondrial Biology Unit, University of Cambridge, Cambridge CB2 0XY, United Kingdom.
Rick ScavettaScavetta Academy, Berlin, Germany.
Michal MinczukMRC Mitochondrial Biology Unit, University of Cambridge, Cambridge CB2 0XY, United Kingdom. Electronic address: michal.minczuk@mrc-mbu.cam.ac.uk.
Pedro Rebelo-GuiomarMRC Mitochondrial Biology Unit, University of Cambridge, Cambridge CB2 0XY, United Kingdom. Electronic address: pfrg2@mrc-mbu.cam.ac.uk.
University of Cambridge · GBMRC Mitochondrial Biology Unit · GB

Funding

Medical Research Council MC_UU_00015/4Medical Research Council MC_UU_00015/7
6 · The paper itself

Abstract

Many cellular processes involve the participation of large macromolecular assemblies. Understanding their function requires methods allowing to study their dynamic and mechanistic properties. Here we present a method for quantitative analysis of native protein or ribonucleoprotein complexes by mass spectrometry following their separation by density - qDGMS. Mass spectrometric quantitation is enabled through stable isotope labelling with amino acids in cell culture (SILAC). We provide a complete guide, from experimental design to preparation of publication-ready figures, using a purposely-developed R package - ComPrAn. As specific examples, we present the use of sucrose density gradients to inspect the assembly and dynamics of the human mitochondrial ribosome (mitoribosome), its interacting proteins, the small subunit of the cytoplasmic ribosome, cytoplasmic aminoacyl-tRNA synthetase complex and the mitochondrial PDH complex. ComPrAn provides tools for analysis of peptide-level data as well as normalization and clustering tools for protein-level data, dedicated visualization functions and graphical user interface. Although, it has been developed for the analysis of qDGMS samples, it can also be used for other proteomics experiments that involve 2-state labelled samples separated into fractions. We show that qDGMS and ComPrAn can be used to study macromolecular complexes in their native state, accounting for the dynamics inherent to biological systems and benefiting from its proteome-wide quantitative and qualitative capability.

Indexed as

SoftwareHumansMacromolecular SubstancesMass SpectrometryMitochondriaProteomeRibonucleoproteinsMacromolecular SubstancesProteomeRibonucleoproteinsComplexome profilingDensity gradient ultracentrifugationMitochondrial ribosomeProteomicsR packageSILAC

Identifiers

PMID33592209
PMCPMC8047798
OpenAlexW3131918934

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.