Abstract
Chimeric RNA moieties typically consist of exons from two genes expressed from different genomic locations and produced by chromosomal translocations, trans-splicing or transcription errors. Recent advances in next-generation sequencing procedures have opened new horizons for identification of novel chimeric transcripts in various diseases in a personalized manner. Here we describe the detailed computational procedures to identify chimeric transcripts using RNA-seq reads. Moreover, we elaborate on the domain–domain co-occurrence method to detect alterations in chimeric protein–protein interaction (ChiPPI) networks produced by chimeric RNA that are translated to chimeric proteins.
| Original language | English |
|---|---|
| Title of host publication | Methods in Molecular Biology |
| Publisher | Humana Press Inc. |
| Pages | 27-40 |
| Number of pages | 14 |
| DOIs | |
| State | Published - 2020 |
Publication series
| Name | Methods in Molecular Biology |
|---|---|
| Volume | 2079 |
| ISSN (Print) | 1064-3745 |
| ISSN (Electronic) | 1940-6029 |
Bibliographical note
Publisher Copyright:© 2020, Springer Science+Business Media, LLC, part of Springer Nature.
Keywords
- Chimeric mRNA
- Chimeric protein–protein interactions (ChiPPI)
- Domain–domain co-occurrence
- Next-generation sequencing technology
- RNA-seq reads