Top-down proteomics.


Journal

Nature reviews. Methods primers
ISSN: 2662-8449
Titre abrégé: Nat Rev Methods Primers
Pays: England
ID NLM: 101778010

Informations de publication

Date de publication:
2024
Historique:
medline: 15 7 2024
pubmed: 15 7 2024
entrez: 15 7 2024
Statut: ppublish

Résumé

Proteoforms, which arise from post-translational modifications, genetic polymorphisms and RNA splice variants, play a pivotal role as drivers in biology. Understanding proteoforms is essential to unravel the intricacies of biological systems and bridge the gap between genotypes and phenotypes. By analysing whole proteins without digestion, top-down proteomics (TDP) provides a holistic view of the proteome and can decipher protein function, uncover disease mechanisms and advance precision medicine. This Primer explores TDP, including the underlying principles, recent advances and an outlook on the future. The experimental section discusses instrumentation, sample preparation, intact protein separation, tandem mass spectrometry techniques and data collection. The results section looks at how to decipher raw data, visualize intact protein spectra and unravel data analysis. Additionally, proteoform identification, characterization and quantification are summarized, alongside approaches for statistical analysis. Various applications are described, including the human proteoform project and biomedical, biopharmaceutical and clinical sciences. These are complemented by discussions on measurement reproducibility, limitations and a forward-looking perspective that outlines areas where the field can advance, including potential future applications.

Identifiants

pubmed: 39006170
doi: 10.1038/s43586-024-00318-2
pmc: PMC11242913
pii:
doi:

Types de publication

Journal Article

Langues

eng

Déclaration de conflit d'intérêts

Competing interests J.A.L., J.C.-R., J.N.A., L.P.-T., L.M.S. and Y.G. are currently board members of Consortium for Top-down Proteomics. Y.O.T. is an employee of Spectroswiss, a company that develops data acquisition systems and data processing software for mass spectrometry. X.L. has a project contract with Bioinformatics Solutions Inc., a company that develops data processing software for mass spectrometry. D.S.R. and Y.G. are named as inventors for the patent application US Patent App. 17/786,482. L.P.-T. is named as an inventor for the US Patent App. 17/954,834. Y.G. is named as an inventor for the US Patent App. 18/069,005; US Patent App. 17/978,793; US Patent App. 18/451,614; and US Patent 11,567,085. S.W. declares no competing interests.

Auteurs

David S Roberts (DS)

Department of Chemistry, Stanford University, Stanford, CA, USA.
Sarafan ChEM-H, Stanford University, Stanford, CA, USA.

Joseph A Loo (JA)

Department of Chemistry and Biochemistry, Department of Biological Chemistry, University of California - Los Angeles, Los Angeles, CA, USA.

Yury O Tsybin (YO)

Spectroswiss, Lausanne, Switzerland.

Xiaowen Liu (X)

Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, LA, USA.

Si Wu (S)

Department of Chemistry and Biochemistry, The University of Alabama, Tuscaloosa, AL, USA.

Julia Chamot-Rooke (J)

Institut Pasteur, Université Paris Cité, CNRS UAR 2024, Paris, France.

Jeffrey N Agar (JN)

Departments of Chemistry and Chemical Biology and Pharmaceutical Sciences, Northeastern University, Boston, MA, USA.

Ljiljana Paša-Tolić (L)

Environmental and Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.

Lloyd M Smith (LM)

Department of Chemistry, University of Wisconsin, Madison, WI, USA.

Ying Ge (Y)

Department of Chemistry, University of Wisconsin, Madison, WI, USA.
Department of Cell and Regenerative Biology, Human Proteomics Program, University of Wisconsin - Madison, Madison, WI, USA.

Classifications MeSH