Mapping intact protein isoforms in discovery mode using top-down proteomics

Mapping intact protein isoforms in discovery mode using top-down proteomics
John C. TranLeonid ZamdborgDorothy R. Ahlf이지은Adam D. CathermanKenneth R. DurbinJeremiah D. TiptonAdaikkalam VellaichaJohn F. KellieMingxi LiCong WuSteve M. M. SweetBryan P. EarlyNertila SiutiRichard D. LeDucPhilip D. ComptonPaul M. ThomasNeil L. Kelleher
Top-Down proteomics
Issue Date
VOL 480, NO 7376, 254-258
A full description of the human proteome relies on the challenging task of detecting mature and changing forms of protein molecules in the body. Large-scale proteome analysis1 has routinely involved digesting intact proteins followed by inferred protein identification using mass spectrometry2. This ‘bottom-up’ process affords a high number of identifications (not always unique to a single gene). However, complications arise from incomplete or ambiguous2 characterization of alternative splice forms, diverse modifications (for example, acetylation and methylation) and endogenous protein cleavages, especially when combinations of these create complex patterns of intact protein isoforms and species3. ‘Topdown’ interrogation of whole proteins can overcome these problems for individual proteins4,5, but has not been achieved on a proteome scale owing to the lack of intact protein fractionation methods that are well integrated with tandem mass spectrometry. Here we show, using a new four-dimensional separation system, identification of 1,043 gene products from human cells that are dispersed into more than 3,000 protein species created by posttranslational modification (PTM), RNA splicing and proteolysis. The overall system produced greater than 20-fold increases in both separation power and proteome coverage, enabling the identification of proteins up to 105 kDa and those with up to 11 transmembrane helices. Many previously undetected isoforms of endogenous human proteins were mapped, including changes in multiply modified species in response to accelerated cellular ageing (senescence) induced by DNA damage. Integrated with the latest version of the Swiss-Prot database6, the data provide precise correlations to individual genes and proof-of-concept for large-scale interrogation of whole protein molecules.
Appears in Collections:
KIST Publication > Article
Files in This Item:
There are no files associated with this item.
RIS (EndNote)
XLS (Excel)


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.