Fcirc: A comprehensive pipeline for the exploration of fusion linear and circular RNAs
Author(s) -
Zhaoqing Cai,
Hongzhang Xue,
Yue Xu,
Jens Köhler,
Xiaojie Cheng,
Yao Dai,
Jie Zheng,
Haiyun Wang
Publication year - 2020
Publication title -
gigascience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.947
H-Index - 54
ISSN - 2047-217X
DOI - 10.1093/gigascience/giaa054
Subject(s) - pipeline (software) , fusion , computational biology , computer science , data science , bioinformatics , biology , programming language , philosophy , linguistics
In cancer cells, fusion genes can produce linear and chimeric fusion-circular RNAs (f-circRNAs), which are functional in gene expression regulation and implicated in malignant transformation, cancer progression, and therapeutic resistance. For specific cancers, proteins encoded by fusion transcripts have been identified as innovative therapeutic targets (e.g., EML4-ALK). Even though RNA sequencing (RNA-Seq) technologies combined with existing bioinformatics approaches have enabled researchers to systematically identify fusion transcripts, specifically detecting f-circRNAs in cells remains challenging owing to their general sparsity and low abundance in cancer cells but also owing to imperfect computational methods.
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