Literature DB >> 32449352

Comparative Proteomic Profiling of Unannotated Microproteins and Alternative Proteins in Human Cell Lines.

Xiongwen Cao1,2, Alexandra Khitun1,2, Zhenkun Na1,2, Daniel G Dumitrescu1, Marcelina Kubica2, Elizabeth Olatunji2, Sarah A Slavoff1,2,3.   

Abstract

Ribosome profiling and mass spectrometry have revealed thousands of small and alternative open reading frames (sm/alt-ORFs) that are translated into polypeptides variously termed as microproteins and alt-proteins in mammalian cells. Some micro-/alt-proteins exhibit stress-, cell-type-, and/or tissue-specific expression; understanding this regulated expression will be critical to elucidating their functions. While differential translation has been inferred by ribosome profiling, quantitative mass spectrometry-based proteomics is needed for direct comparison of microprotein and alt-protein expression between samples and conditions. However, while label-free quantitative proteomics has been applied to detect stress-dependent expression of bacterial microproteins, this approach has not yet been demonstrated for analysis of differential expression of unannotated ORFs in the more complex human proteome. Here, we present global micro-/alt-protein quantitation in two human leukemia cell lines, K562 and MOLT4. We identify 12 unannotated proteins that are differentially expressed in these cell lines. The expression of six micro/alt-proteins from cDNA was validated biochemically, and two were found to localize to the nucleus. Thus, we demonstrate that label-free comparative proteomics enables quantitation of micro-/alt-protein expression between human cell lines. We anticipate that this workflow will enable the discovery of regulated sm/alt-ORF products across many biological conditions in human cells.

Entities:  

Keywords:  alternative protein; comparative proteomics; microprotein; proteogenomics; unannotated protein

Mesh:

Substances:

Year:  2020        PMID: 32449352      PMCID: PMC7429271          DOI: 10.1021/acs.jproteome.0c00254

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  42 in total

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3.  Improved Identification and Analysis of Small Open Reading Frame Encoded Polypeptides.

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Review 4.  Small proteins can no longer be ignored.

Authors:  Gisela Storz; Yuri I Wolf; Kumaran S Ramamurthi
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6.  Ribosome profiling of mouse embryonic stem cells reveals the complexity and dynamics of mammalian proteomes.

Authors:  Nicholas T Ingolia; Liana F Lareau; Jonathan S Weissman
Journal:  Cell       Date:  2011-11-03       Impact factor: 41.582

7.  Genome-wide analysis in vivo of translation with nucleotide resolution using ribosome profiling.

Authors:  Nicholas T Ingolia; Sina Ghaemmaghami; John R S Newman; Jonathan S Weissman
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8.  Discovery of noncanonical translation initiation sites through mass spectrometric analysis of protein N termini.

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Journal:  Nat Commun       Date:  2020-03-11       Impact factor: 14.919

10.  Discovery of human sORF-encoded polypeptides (SEPs) in cell lines and tissue.

Authors:  Jiao Ma; Carl C Ward; Irwin Jungreis; Sarah A Slavoff; Adam G Schwaid; John Neveu; Bogdan A Budnik; Manolis Kellis; Alan Saghatelian
Journal:  J Proteome Res       Date:  2014-02-14       Impact factor: 4.466

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Journal:  Nat Chem Biol       Date:  2022-04-07       Impact factor: 16.174

2.  Discovery of cellular substrates of human RNA-decapping enzyme DCP2 using a stapled bicyclic peptide inhibitor.

Authors:  Yang Luo; Jeremy A Schofield; Zhenkun Na; Tanja Hann; Matthew D Simon; Sarah A Slavoff
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3.  Trips-Viz: an environment for the analysis of public and user-generated ribosome profiling data.

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4.  Alt-RPL36 downregulates the PI3K-AKT-mTOR signaling pathway by interacting with TMEM24.

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Review 5.  Short open reading frames (sORFs) and microproteins: an update on their identification and validation measures.

Authors:  Alyssa Zi-Xin Leong; Pey Yee Lee; M Aiman Mohtar; Saiful Effendi Syafruddin; Yuh-Fen Pung; Teck Yew Low
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  5 in total

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