Evidence mapPaperPMID 39193565Full record

ReviewACS measurement science au2024

Comprehensive Overview of Bottom-Up Proteomics Using Mass Spectrometry.

Yuming Jiang, Devasahayam Arokia Balaya Rex, Dina Schuster, Benjamin A Neely, Germán L Rosano, Norbert Volkmar, Amanda Momenzadeh, Trenton M Peters-Clarke, Susan B Egbert, Simion Kreimer and 10 more

Abstract readReview
In one paragraph

Review in ACS measurement science au, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed, 1 pooled it
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

94 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Proteomic analysis of rose apple reveals defense proteins activated during Lasiodiplodia theobromae infection.International microbiology : the official journal of the Spanish Society for Microbiology · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Integrating Spatial Proteogenomics in Cancer Research.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  19. Article
  20. Review

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Yuming JiangDepartment of Computational Biomedicine, Cedars Sinai Medical Center, Los Angeles, California 90048, United States.
Devasahayam Arokia Balaya RexCenter for Systems Biology and Molecular Medicine, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore 575018, India.
Dina SchusterDepartment of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich 8093, Switzerland.ORCID https://orcid.org/0000-0001-6611-8237
Benjamin A NeelyChemical Sciences Division, National Institute of Standards and Technology, NIST, Charleston, South Carolina 29412, United States.ORCID https://orcid.org/0000-0001-6120-7695
Germán L RosanoMass Spectrometry Unit, Institute of Molecular and Cellular Biology of Rosario, Rosario, 2000 Argentina.
Norbert VolkmarDepartment of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich 8093, Switzerland.
Amanda MomenzadehDepartment of Computational Biomedicine, Cedars Sinai Medical Center, Los Angeles, California 90048, United States.ORCID https://orcid.org/0000-0002-8614-0690
Trenton M Peters-ClarkeDepartment of Pharmaceutical Chemistry, University of California-San Francisco, San Francisco, California, 94158, United States.ORCID https://orcid.org/0000-0002-9153-2525
Susan B EgbertDepartment of Chemistry, University of Manitoba, Winnipeg, Manitoba, R3T 2N2 Canada.
Simion KreimerSmidt Heart Institute, Cedars Sinai Medical Center, Los Angeles, California 90048, United States.ORCID https://orcid.org/0000-0001-6627-3771
Emma H DoudCenter for Proteome Analysis, Indiana University School of Medicine, Indianapolis, Indiana, 46202-3082, United States.
Oliver M CrookOxford Protein Informatics Group, Department of Statistics, University of Oxford, Oxford OX1 3LB, United Kingdom.ORCID https://orcid.org/0000-0001-5669-8506
Amit Kumar YadavTranslational Health Science and Technology Institute, NCR Biotech Science Cluster 3rd Milestone Faridabad-Gurgaon Expressway, Faridabad, Haryana 121001, India.ORCID https://orcid.org/0000-0002-9445-8156
Muralidharan VanuopadathSchool of Biotechnology, Amrita Vishwa Vidyapeetham, Kollam-690 525, Kerala, India.
Adrian D HegemanDepartments of Horticultural Science and Plant and Microbial Biology, University of Minnesota, Twin Cities, Minnesota 55108, United States.ORCID https://orcid.org/0000-0003-1008-6066
Martín L MaytaSchool of Medicine and Health Sciences, Center for Health Sciences Research, Universidad Adventista del Plata, Libertador San Martin 3103, Argentina.
Anna G DuboffDepartment of Chemistry, University of Washington, Seattle, Washington 98195, United States.ORCID https://orcid.org/0009-0002-7316-3831
Nicholas M RileyDepartment of Chemistry, University of Washington, Seattle, Washington 98195, United States.ORCID https://orcid.org/0000-0002-1536-2966
Robert L MoritzInstitute for Systems biology, Seattle, Washington 98109, United States.ORCID https://orcid.org/0000-0002-3216-9447
Jesse G MeyerDepartment of Computational Biomedicine, Cedars Sinai Medical Center, Los Angeles, California 90048, United States.ORCID https://orcid.org/0000-0003-2753-3926

Funding

Processing and Analyzing Mass Spectrometry Proteomics Data for the Longevity ConsortiumU19AG023122 · TRANSLATIONAL GENOMICS RESEARCH INST · 2004 to 2025
$16.8M
Democratizing Multi-Omics to Expedite Discovery of Hidden Metabolic PathwaysR35GM142502 · CEDARS-SINAI MEDICAL CENTER · 2025 to 2025
$418k
Capturing the Holistic Glycocode through Systems GlycobiologyR00GM147304 · UNIVERSITY OF WASHINGTON · 2025 to 2025
$249k
NIA NIH HHS R21 AG074234NIA NIH HHS U19 AG023122NIA NIH HHS UH3 AG064706NIGMS NIH HHS R00 GM147304NIGMS NIH HHS R01 GM087221NIGMS NIH HHS R24 GM127667NIGMS NIH HHS R35 GM142502NIH HHS S10 OD026936
6 · The paper itself

Abstract

Proteomics is the large scale study of protein structure and function from biological systems through protein identification and quantification. "Shotgun proteomics" or "bottom-up proteomics" is the prevailing strategy, in which proteins are hydrolyzed into peptides that are analyzed by mass spectrometry. Proteomics studies can be applied to diverse studies ranging from simple protein identification to studies of proteoforms, protein-protein interactions, protein structural alterations, absolute and relative protein quantification, post-translational modifications, and protein stability. To enable this range of different experiments, there are diverse strategies for proteome analysis. The nuances of how proteomic workflows differ may be challenging to understand for new practitioners. Here, we provide a comprehensive overview of different proteomics methods. We cover from biochemistry basics and protein extraction to biological interpretation and orthogonal validation. We expect this Review will serve as a handbook for researchers who are new to the field of bottom-up proteomics.

Identifiers

PMID39193565
PMCPMC11348894

What Socratic 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 Socratic graph.