A five-level classification system for proteoform identifications - Archive ouverte HAL
Article Dans Une Revue Nature Methods Année : 2019

A five-level classification system for proteoform identifications

Joseph Gault
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Carol Robinson
Yury Tsybin
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Paul Danis
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Résumé

To the editor The term proteoform, introduced in Nature Methods in 2013 (ref. 1), has rapidly gained acceptance in the proteomics community. The challenge and importance of comprehensively identifying proteoforms in complex samples has been recognized, and reports have begun to appear of new platforms towards that end2,3,4,5. However, one interesting central ambiguity has emerged, namely determining precisely what is meant by a ‘proteoform identification’. At present, the only practical approaches for establishing the exact primary structure of a proteoform employ mass spectrometry (MS), and a wide range of MS results claim proteoform identifications6. This seemingly small matter has significant impact, as the ambiguity in what is meant by an ‘identification’ makes it difficult to compare results from different laboratories and approaches. This situation hinders the ability of the community to evaluate technological progress and to efficiently expand biological knowledge.

Dates et versions

hal-02327209 , version 1 (22-10-2019)

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Citer

Lloyd Smith, Paul Thomas, Michael Shortreed, Leah Schaffer, Ryan Fellers, et al.. A five-level classification system for proteoform identifications. Nature Methods, 2019, 16 (10), pp.939-940. ⟨10.1038/s41592-019-0573-x⟩. ⟨hal-02327209⟩
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