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Updated: Feb 7, 2026

Peptide-based Identification of Functional Motifs and their Binding Partners
Published on: June 30, 2013
Identification of novel transcripts and peptides in developing murine lens
Shahid Y Khan1, Muhammad Ali1, Firoz Kabir1
1The Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA.
Researchers identified thousands of novel transcripts and fusion genes in the developing mouse ocular lens. This study also discovered 20 new peptides by integrating transcriptome and proteome data, offering new insights into lens development.
Area of Science:
- Ophthalmology
- Genomics
- Proteomics
Background:
- The ocular lens undergoes significant molecular changes during development.
- Previous studies characterized transcriptome and proteome profiles at multiple developmental stages.
Purpose of the Study:
- To identify novel transcripts, fusion genes, and alternative splicing events in the developing mouse lens.
- To discover novel peptides by integrating multi-omic datasets.
- To provide a comprehensive molecular resource for mouse lens development.
Main Methods:
- RNA sequencing and mass spectrometry-based proteomics were employed.
- Bioinformatic analyses were performed to identify novel transcripts, fusion genes, and alternative splicing events.
- Integration of transcriptome and proteome data was used to identify novel peptides.
Main Results:
- A total of 9,707 novel transcripts and 325 novel fusion genes were identified.
- 13,281 novel alternative splicing events were detected, including various types like exon skipping and intron retention.
- 20 novel peptides were identified through integrated omics analysis and validated using MS/MS spectra.
Conclusions:
- This study presents a comprehensive catalog of novel molecular entities in the developing mouse lens.
- The integration of transcriptome and proteome data is a powerful approach for discovering novel peptides.
- These findings contribute significantly to our understanding of lens development and provide valuable data for future research.
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