TY - JOUR
T1 - eRNA-IDO
T2 - A One-stop Platform for Identification, Interactome Discovery, and Functional Annotation of Enhancer RNAs
AU - Zhang, Yuwei
AU - Gong, Lihai
AU - Ding, Ruofan
AU - Chen, Wenyan
AU - Rong, Hao
AU - Li, Yanguo
AU - Shameem, Fawziya
AU - Ali, Korakkandan Arshad
AU - Li, Lei
AU - Liao, Qi
N1 - Publisher Copyright:
© 2024 The Author(s).
PY - 2024/8/1
Y1 - 2024/8/1
N2 - Growing evidence supports the transcription of enhancer RNAs (eRNAs) and their important roles in gene regulation. However, their interactions with other biomolecules and their corresponding functionality remain poorly understood. In an attempt to facilitate mechanistic research, this study presents eRNA-IDO, the first integrative computational platform for the identification, interactome discovery, and functional annotation of human eRNAs. eRNA-IDO comprises two modules: eRNA-ID and eRNA-Anno. Functionally, eRNA-ID can identify eRNAs from de novo assembled transcriptomes. eRNA-ID includes eight kinds of enhancer makers, enabling users to customize enhancer regions flexibly and conveniently. In addition, eRNA-Anno provides cell-/tissue-specific functional annotation for both new and known eRNAs by analyzing the eRNA interactome from prebuilt or user-defined networks between eRNAs and protein-coding genes. The prebuilt networks include the Genotype-Tissue Expression (GTEx)-based co-expression networks in normal tissues, The Cancer Genome Atlas (TCGA)-based co-expression networks in cancer tissues, and omics-based eRNA-centric regulatory networks. eRNA-IDO can facilitate research on the biogenesis and functions of eRNAs. The eRNA-IDO server is freely available at http://bioinfo.szbl.ac.cn/eRNA_IDO/.
AB - Growing evidence supports the transcription of enhancer RNAs (eRNAs) and their important roles in gene regulation. However, their interactions with other biomolecules and their corresponding functionality remain poorly understood. In an attempt to facilitate mechanistic research, this study presents eRNA-IDO, the first integrative computational platform for the identification, interactome discovery, and functional annotation of human eRNAs. eRNA-IDO comprises two modules: eRNA-ID and eRNA-Anno. Functionally, eRNA-ID can identify eRNAs from de novo assembled transcriptomes. eRNA-ID includes eight kinds of enhancer makers, enabling users to customize enhancer regions flexibly and conveniently. In addition, eRNA-Anno provides cell-/tissue-specific functional annotation for both new and known eRNAs by analyzing the eRNA interactome from prebuilt or user-defined networks between eRNAs and protein-coding genes. The prebuilt networks include the Genotype-Tissue Expression (GTEx)-based co-expression networks in normal tissues, The Cancer Genome Atlas (TCGA)-based co-expression networks in cancer tissues, and omics-based eRNA-centric regulatory networks. eRNA-IDO can facilitate research on the biogenesis and functions of eRNAs. The eRNA-IDO server is freely available at http://bioinfo.szbl.ac.cn/eRNA_IDO/.
KW - Enhancer RNA
KW - Functional annotation
KW - Identification
KW - Interactome
KW - Web server
UR - https://www.scopus.com/pages/publications/85207593818
U2 - 10.1093/gpbjnl/qzae059
DO - 10.1093/gpbjnl/qzae059
M3 - 文章
C2 - 39178387
AN - SCOPUS:85207593818
SN - 1672-0229
VL - 22
JO - Genomics, Proteomics and Bioinformatics
JF - Genomics, Proteomics and Bioinformatics
IS - 4
M1 - qzae059
ER -