Evidence map›Paper›PMID 32134668›Full record

ArticleJournal of proteome research2020

Comparative Analysis of Quantitative Mass Spectrometric Methods for Subcellular Proteomics.

Abla Tannous, Marielle Boonen, Haiyan Zheng, Caifeng Zhao, Colin J Germain, Dirk F Moore, David E Sleat, Michel Jadot, Peter Lobel

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Comparison of MSAnalytical and bioanalytical chemistry · 2021
    Article
  9. Organellar Maps Through Proteomic Profiling - A Conceptual Guide.Molecular & cellular proteomics : MCP · 2020
    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

9 authors at 2 institutions in 2 countries.

Abla TannousCenter for Advanced Biotechnology and Medicine, Piscataway, New Jersey 08854, United States.
Marielle BoonenURPhyM-Intracellular Trafficking Biology, NARILIS, University of Namur, 61 rue de Bruxelles, Namur 5000, Belgium.
Haiyan ZhengCenter for Advanced Biotechnology and Medicine, Piscataway, New Jersey 08854, United States.
Caifeng ZhaoCenter for Advanced Biotechnology and Medicine, Piscataway, New Jersey 08854, United States.
Colin J GermainCenter for Advanced Biotechnology and Medicine, Piscataway, New Jersey 08854, United States.
Dirk F MooreDepartment of Biostatistics, School of Public Health, Rutgers - The State University of New Jersey, Piscataway, New Jersey 08854, United States.
David E SleatCenter for Advanced Biotechnology and Medicine, Piscataway, New Jersey 08854, United States.ORCID 0000-0002-5159-9928
Michel JadotURPhyM-Physiological Chemistry, NARILIS, University of Namur, 61 rue de Bruxelles, Namur 5000, Belgium.
Peter LobelCenter for Advanced Biotechnology and Medicine, Piscataway, New Jersey 08854, United States.
Rutgers, The State University of New Jersey · USUniversity of Namur · BE

Funding

Rutgers Mass Spectrometry Core for Integrative Neuroscience ResearchP30NS046593 · NINDS · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI LI, HONG, LOBEL, PETER · 2004 to 2018
$9.9M
Development of New Proteomics Technology and its Application to Study Cellular OrganizationR35GM128813 · NIGMS · PRINCETON UNIVERSITY · PI Martin Wühr · 2018 to 2026
$4.0M
A Mass Spectrometry System for Quantitative ProteomicsS10OD016400 · OD · RBHS-ROBERT WOOD JOHNSON MEDICAL SCHOOL · PI LOBEL, PETER · 2014 to 2014
$561k
High Resolution LC-MS/MS SystemS10RR024584 · NCRR · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI LOBEL, PETER · 2009 to 2009
$500k
NCRR NIH HHS S10 RR024584NIGMS NIH HHS R35 GM128813NIH HHS S10 OD016400NINDS NIH HHS P30 NS046593
6 · The paper itself

Abstract

Knowledge of intracellular location can provide important insights into the function of proteins and their respective organelles, and there is interest in combining classical subcellular fractionation with quantitative mass spectrometry to create global cellular maps. To evaluate mass spectrometric approaches specifically for this application, we analyzed rat liver differential centrifugation and Nycodenz density gradient subcellular fractions by tandem mass tag (TMT) isobaric labeling with reporter ion measurement at the MS2 and MS3 level and with two different label-free peak integration approaches, MS1 and data independent acquisition (DIA). TMT-MS2 provided the greatest proteome coverage, but ratio compression from contaminating background ions resulted in a narrower accurate dynamic range compared to TMT-MS3, MS1, and DIA, which were similar. Using a protein clustering approach to evaluate data quality by assignment of reference proteins to their correct compartments, all methods performed well, with isobaric labeling approaches providing the highest quality localization. Finally, TMT-MS2 gave the lowest percentage of missing quantifiable data when analyzing orthogonal fractionation methods containing overlapping proteomes. In summary, despite inaccuracies resulting from ratio compression, data obtained by TMT-MS2 assigned protein localization as well as other methods but achieved the highest proteome coverage with the lowest proportion of missing values.

Indexed as

ProteomeProteomicsAnimalsIonsMass SpectrometryRatsIonsProteomeisobaric labelinglabel freequantitative mass spectrometrysubcellular fractionation

Identifiers

PMID32134668
PMCPMC8063867
OpenAlexW3009314963

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.