Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/102305
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Title: An optimized proteomics approach reveals novel alternative proteins in mouse liver development
Authors: Yang, Y 
Wang, H
Zhang, Y 
Chen, L 
Chen, G
Bao, Z
Yang, Y 
Xie, Z
Zhao, Q 
Issue Date: Jan-2023
Source: Molecular and cellular proteomics, Jan. 2023, v. 22, no. 1, 100480
Abstract: Alternative ORFs (AltORFs) are unannotated sequences in genome that encode novel peptides or proteins named alternative proteins (AltProts). Although ribosome profiling and bioinformatics predict a large number of AltProts, mass spectrometry as the only direct way of identification is hampered by the short lengths and relative low abundance of AltProts. There is an urgent need for improvement of mass spectrometry methodologies for AltProt identification. Here, we report an approach based on size-exclusion chromatography for simultaneous enrichment and fractionation of AltProts from complex proteome. This method greatly simplifies the variance of AltProts discovery by enriching small proteins smaller than 40 kDa. In a systematic comparison between 10 methods, the approach we reported enabled the discovery of more AltProts with overall higher intensities, with less cost of time and effort compared to other workflows. We applied this approach to identify 89 novel AltProts from mouse liver, 39 of which were differentially expressed between embryonic and adult mice. During embryonic development, the upregulated AltProts were mainly involved in biological pathways on RNA splicing and processing, whereas the AltProts involved in metabolisms were more active in adult livers. Our study not only provides an effective approach for identifying AltProts but also novel AltProts that are potentially important in developmental biology.
Publisher: Elsevier Inc.
Journal: Molecular and cellular proteomics 
EISSN: 1535-9484
DOI: 10.1016/j.mcpro.2022.100480
Rights: © 2022 THE AUTHORS. Published by Elsevier Inc on behalf of American Society for Biochemistry and Molecular Biology. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
The following publication Yang, Y., Wang, H., Zhang, Y., Chen, L., Chen, G., Bao, Z., ... & Zhao, Q. (2023). An optimized proteomics approach reveals novel alternative proteins in mouse liver development. Molecular & Cellular Proteomics, 22(1), 100480 is availale at https://doi.org/10.1016/j.mcpro.2022.100480.
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