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Updated: Nov 6, 2025
An Integrated Approach for Microprotein Identification and Sequence Analysis
Published on: July 12, 2022
ORFLine: a bioinformatic pipeline to prioritize small open reading frames identifies candidate secreted small
Fengyuan Hu1, Jia Lu1, Louise S Matheson1
1Laboratory of Lymphocyte Signalling and Development, The Babraham Institute, Babraham Research Campus, Cambridge CB22 3AT, UK.
Motivation:
The annotation of small open reading frames (smORFs) of <100 codons (<300 nucleotides) is challenging due to the large number of such sequences in the genome.
Results:
In this study, we developed a computational pipeline, which we have named ORFLine, that stringently identifies smORFs and classifies them according to their position within transcripts. We identified a total of 5744 unique smORFs in datasets from mouse B and T lymphocytes and systematically characterized them using ORFLine. We further searched smORFs for the presence of a signal peptide, which predicted known secreted chemokines as well as novel micropeptides. Four novel micropeptides show evidence of secretion and are therefore candidate mediators of immunoregulatory functions.
Availability And Implementation:
Freely available on the web at https://github.com/boboppie/ORFLine.
Supplementary Information:
Supplementary data are available at Bioinformatics online.
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