CryEx.v2, an enhanced protocol for the quantitative detection and visualization of cryptic splicing using human transcriptome data

Unraveling the mechanisms that suppress cryptic splicing is essential for maintaining transcriptome stability and developing therapeutic strategies in genetic disorders such as cancer. Here, we present a protocol to identify cryptic exons in human epithelial breast cells and quantify their inclusion utilizing RNA sequencing (RNA-seq) data. We describe steps for determining precise chromosome coordinates, calculating percent-spliced-in (PSI) values, classifying exons based on isoform presence, and conducting differential splicing analysis across conditions. We also detail procedures for visualizing a representative splicing event. For complete details on the use and execution of the original and this updated protocol, please refer to Zheng et al. 1 1. Zheng, R. ∙ Dunlap, M. ∙ Bobkov, G.O.M. ... hnRNPM protects against the dsRNA-mediated interferon response by repressing LINE-associated cryptic splicing Mol. Cell. 2024; 84 :2087-2103.e8 Full Text Full Text (PDF) Scopus (28) PubMed Google Scholar

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Publication Details

Journal
STAR Protocols
Published
2026-11-06
DOI
https://doi.org/10.1016/j.xpro.2026.104931
Primary Topic
RNA Research and Splicing
Type
article
Field-Weighted Citation Impact
0.00

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article

CryEx.v2, an enhanced protocol for the quantitative detection and visualization of cryptic splicing using human transcriptome data

Giovanni Quinones-Valdez, Chonghui Cheng, Xinshu Grace Xiao, Rong Zheng
1 links
STAR Protocols
RNA Research and Splicing
article

CryEx.v2, an enhanced protocol for the quantitative detection and visualization of cryptic splicing using human transcriptome data

Giovanni Quinones-Valdez, Chonghui Cheng, Xinshu Grace Xiao, Rong Zheng
article en

Abstract

Unraveling the mechanisms that suppress cryptic splicing is essential for maintaining transcriptome stability and developing therapeutic strategies in genetic disorders such as cancer. Here, we present a protocol to identify cryptic exons in human epithelial breast cells and quantify their inclusion utilizing RNA sequencing (RNA-seq) data. We describe steps for determining precise chromosome coordinates, calculating percent-spliced-in (PSI) values, classifying exons based on isoform presence, and conducting differential splicing analysis across conditions. We also detail procedures for visualizing a representative splicing event. For complete details on the use and execution of the original and this updated protocol, please refer to Zheng et al. 1 1. Zheng, R. ∙ Dunlap, M. ∙ Bobkov, G.O.M. ... hnRNPM protects against the dsRNA-mediated interferon response by repressing LINE-associated cryptic splicing Mol. Cell. 2024; 84 :2087-2103.e8 Full Text Full Text (PDF) Scopus (28) PubMed Google Scholar

STAR ProtocolsVol. 7(4)
University of California, Los Angeles (US), Baylor College of Medicine (US)
Cancer Prevention and Research Institute of Texas, National Institute on Aging, National Cancer Institute, National Institute of General Medical Sciences
Openalex Percentile: Top 27%
RNA Research and Splicing
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