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Updated: Jul 18, 2026

Quantitative Analysis of Alternative Pre-mRNA Splicing in Mouse Brain Sections Using RNA In Situ Hybridization Assay
Published on: August 26, 2018
TISA: tissue-specific alternative splicing in human and mouse genes
Seung-Jae Noh1, Kyooyeol Lee, Hyojung Paik
1Bioinformatics Lab. Plant genomics center KRIBB, 52 Eoeun-dong, Yuseong-gu, Daejon, 305-333 Korea.
Alternative splicing (AS) generates diverse transcripts from single genes, crucial for tissue-specific expression. This study introduces a novel graphing method to predict tissue-specific AS events, revealing thousands of specific genes and transcripts in humans and mice.
Area of Science:
- Molecular Biology
- Genomics
- Bioinformatics
Background:
- Alternative splicing (AS) is a key post-transcriptional modification generating transcript diversity.
- AS plays a critical role in tissue-specific gene expression and functional specialization.
- Predicting tissue-specific AS events remains a challenge in transcriptomics.
Purpose of the Study:
- To develop and validate a novel graphing method for transcript reconstruction.
- To statistically predict tissue-specific alternative splicing events.
- To provide a comprehensive resource of tissue-specific AS in humans and mice.
Main Methods:
- A three-step selection process involving a custom scoring rule, binomial statistics, and transcript structure evaluation.
- Generation of splice graphs for transcript reconstruction.
- Statistical assessment of tissue specificity using EST data and multiple testing correction.
Main Results:
- Reconstruction of 97,286 and 66,022 valid transcripts from 26,143 human and 27,741 mouse genes, respectively.
- Discovery of 33,481 alternative splicing events across nine patterns in humans.
- Identification of 12,711 tissue-specific genes, 16,016 tissue-specific transcripts, and 1035 tissue-specific AS events in humans (FDR <0.01).
Conclusions:
- The developed method effectively reconstructs transcripts and predicts tissue-specific alternative splicing.
- The study provides a valuable, publicly accessible resource (TISA website) for exploring tissue-specific AS.
- This work enhances our understanding of transcriptomic complexity and its role in tissue differentiation.
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