Dataset Information

Mapping microproteins and ncRNA-encoded polypeptides in different mouse tissues

ABSTRACT: Small open reading frame encoded peptides (SEPs), also called microproteins, play a vital role in biological processes. Plenty of their open reading frames are located on the non-coding RNA (ncRNA) range. Recent research has demonstrated that ncRNA-encoded polypeptides have essential functions and exist ubiquitously in various tissues. To better understand the role of microproteins and ncRNA-encoded polypeptide expression in different tissues, we profiled the proteomic characterization of five mouse tissues by mass spectrometry, including bottom-up, top-down, and de novo sequencing strategies. Bottom-up and top-down with database-dependent searches identified 791 microproteins in the OpenProt database. De novo sequencing obtained 309 microproteins and ten ncRNA-encoded polypeptides that were not in the SEP database. In this study, we discovered 1100 microproteins in total, including 208 ncRNA-encoded polypeptides. From the annotation of these microproteins, we found that the brain contains the largest number of neuropeptides, while the spleen contains the most immunoassociated microproteins.

ORGANISM(S): Mus Musculus

SUBMITTER: Cuihong Wan

PROVIDER: PXD025158 | iProX | Sat Apr 03 00:00:00 BST 2021

REPOSITORIES: iProX

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Publications

Mapping Microproteins and ncRNA-Encoded Polypeptides in Different Mouse Tissues.

Pan Ni N Wang Zhiwei Z Wang Bing B Wan Jian J Wan Cuihong C

Frontiers in cell and developmental biology 20210726

Small open reading frame encoded peptides (SEPs), also called microproteins, play a vital role in biological processes. Plenty of their open reading frames are located within the non-coding RNA (ncRNA) range. Recent research has demonstrated that ncRNA-encoded polypeptides have essential functions and exist ubiquitously in various tissues. To better understand the role of microproteins, especially ncRNA-encoded proteins, expressed in different tissues, we profiled the proteomic characterization ...[more]

PMID: 34381774

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Project description:Long noncoding RNA (lncRNA) refers to the family of RNA transcripts with more than 200 nucleotides in length, but cannot encode proteins. lincRNA (long intergenic noncoding RNA) is a subset of lncRNA that do not overlap with known genes. Increasing evidences have shown that some of these transcripts do in fact contain open reading frames (ORFs) to code short peptides, and do have significant functional roles within the cells. However, many of these peptides remain unannotated and uncharacterized. This study proposes a workflow integrating proteomics, transcriptomics and bioinformatics specifically for lincRNA-encoded peptide discovery. The workflow was tested on the mouse kidney inner medulla (IM), a region that contains the collecting duct system responsible for regulated water transport. In brief, short peptides (from 2 to 20 kDa) were enriched by tricine protein gel and in-gel trypsinized into peptides, then analyzed using high resolution mass spectrometry. However, to match mass fragment ion spectra to peptide sequences requires a reference peptide sequence database which are not available for the noncoding transcripts, and must be generated de novo in the sample of interest. We modified the RNA-Seq mapping workflow by filtering out coding reads first to better quantitate the noncoding transcript expressions. Also, a rule-based ORF prediction was implemented to select one best predicted ORF per noncoding transcript to construct the peptide library. Candidates were further evaluated using several quality control criteria and bioinformatics tools. Three candidates, conserved in rat and human, passed all criteria, maybe truly novel coding genes. In summary, we present a workflow based on the modern transcriptomics and proteomics technologies for lincRNA-encoded peptide discovery. A computational challenge is to generate a hypothetical lincRNA-encoded peptide database for peptide-mass spectra matching. With this workflow, we discovered three previously unannotated peptides in the mouse kidney inner medulla. The same workflow can be applied in any cell or tissue type of interest to quickly advance this research field.

Dataset Information

Mapping microproteins and ncRNA-encoded polypeptides in different mouse tissues

Publications

Mapping Microproteins and ncRNA-Encoded Polypeptides in Different Mouse Tissues.

Similar Datasets

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