The characterization of peptides expressed from short open reading frames (sORFs)

Feng, Ting-Yu (Caroline) (2015). The characterization of peptides expressed from short open reading frames (sORFs) MPhil Thesis, School of Chemistry and Molecular Biosciences, The University of Queensland. doi:10.14264/uql.2015.741

Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads
s4243686_mphil_submission.pdf Thesis (open access) application/pdf 16.40MB 0
Author Feng, Ting-Yu (Caroline)
Thesis Title The characterization of peptides expressed from short open reading frames (sORFs)
School, Centre or Institute School of Chemistry and Molecular Biosciences
Institution The University of Queensland
DOI 10.14264/uql.2015.741
Publication date 2015-06-26
Thesis type MPhil Thesis
Supervisor Joe Rothnagel
Amanda Nouwens
Ross Smith
Total pages 141
Language eng
Subjects 0601 Biochemistry and Cell Biology
Formatted abstract
Potentially translatable short open reading frames (sORFs) of less than 100 codons are present on both mRNAs and non-coding RNAs (ncRNAs) and 50% of mammalian mRNAs contain at least one sORF. We hypothesize that a subset of sORFs encode for functional short peptides (sPEPs) that are expressed and contribute to proteome complexity. Our recent bioinformatic studies showed that nearly 2% of sORFs are conserved between several species indicating that these sORFs may have critical functions. Recent proteomic studies have identified over 1,000 sPEPs in human cell lines showing that some sORFs are indeed translated. Surprisingly, a number of peptides have been identified that are encoded by sORFs present in ncRNAs. In order to extend and validate these studies, I extracted low molecular weight proteins from HeLa and HEK293 cell lysates by either SDS-PAGE or ERLIC fractionation. These extracts were digested with trypsin or LysC and analysed by nano LC-MS/MS. The resulting MS/MS data was searched against the UniProKB/Swiss-Prot using MASCOT version 2.4 to filter out known proteins, and all unmatched spectra were searched against the human RefSeq database. ProteinPilotTM was also used to identify sORF-encoded peptides by searching against an in-house sORF and the Human Alternative Open Reading Frame (HaltORF) databases. To date, I have identified several sPEPs including three that are novel. These sPEPs have a mass of less than 20 kDa. One of those is expressed from an ncRNA transcript and is expected to be secreted. The other two sPEPs are encoded by upstream open reading frames (uORFs) on mRNA transcripts; one of these is predicted to localise to the cytoplasm while the other is expected to be secreted. The role, if any, of these peptides has yet to be determined but their identification has provided a pool of candidates for further molecular characterization in order to determine their function.
Keyword Short open reading frames
Non-coding RNAs

Document type: Thesis
Collections: UQ Theses (RHD) - Official
UQ Theses (RHD) - Open Access
Version Filter Type
Citation counts: Google Scholar Search Google Scholar
Created: Fri, 12 Jun 2015, 20:18:27 EST by Ms Ting-yu Feng on behalf of Scholarly Communication and Digitisation Service