eRNA-IDO: a one-stop platform for identification, interactome discovery and functional annotation of enhancer RNAs
Abstract Increasing evidence proves the transcription of enhancer RNA (eRNA) and its important role in gene regulation. However, we are only at the infancy stage of understanding eRNA interactions with other biomolecules and the corresponding functionality. To accelerate eRNA mechanistic study, we present the first integrative computational platform for human<jats:underline>eRNA</jats:underline>identification, interactome discovery, and functional annotation, termed eRNA-IDO. eRNA-IDO comprises two modules: eRNA-ID and eRNA-Anno. Functionally, eRNA-ID identifies eRNAs fromde novoassembled transcriptomes. The bright spot of eRNA-ID is indeed the inclusion of 8 kinds of enhancer makers, whose combination enables users to personalize enhancer regions flexibly and conveniently. In addition, eRNA-Anno provides cell/tissue specific functional annotation for any novel and known eRNAs through discovering eRNA interactome from the prebuilt or user-defined eRNA-coding gene networks. The pre-built networks include GTEx-based normal co-expression networks, TCGA-based cancer co-expression networks, and omics-based eRNA-centric regulatory networks. Our eRNA-IDO carries sufficient practicability and significance for understanding the biogenesis and functions of eRNAs. The eRNA-IDO server is freely available at<jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://bioinfo.szbl.ac.cn/eRNA_IDO/">http://bioinfo.szbl.ac.cn/eRNA_IDO/</jats:ext-link>..
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Preprint| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
bioRxiv.org - (2023) vom: 22. Dez. Zur Gesamtaufnahme - year:2023 |
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| Sprache: |
Englisch |
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| Beteiligte Personen: |
Zhang, Yuwei [VerfasserIn] |
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| Links: |
Volltext [kostenfrei] |
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| doi: |
10.1101/2023.12.19.572028 |
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| PPN (Katalog-ID): |
XBI041929551 |
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| 245 | 1 | 0 | |a eRNA-IDO: a one-stop platform for identification, interactome discovery and functional annotation of enhancer RNAs |
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| 520 | |a Abstract Increasing evidence proves the transcription of enhancer RNA (eRNA) and its important role in gene regulation. However, we are only at the infancy stage of understanding eRNA interactions with other biomolecules and the corresponding functionality. To accelerate eRNA mechanistic study, we present the first integrative computational platform for human<jats:underline>eRNA</jats:underline>identification, interactome discovery, and functional annotation, termed eRNA-IDO. eRNA-IDO comprises two modules: eRNA-ID and eRNA-Anno. Functionally, eRNA-ID identifies eRNAs fromde novoassembled transcriptomes. The bright spot of eRNA-ID is indeed the inclusion of 8 kinds of enhancer makers, whose combination enables users to personalize enhancer regions flexibly and conveniently. In addition, eRNA-Anno provides cell/tissue specific functional annotation for any novel and known eRNAs through discovering eRNA interactome from the prebuilt or user-defined eRNA-coding gene networks. The pre-built networks include GTEx-based normal co-expression networks, TCGA-based cancer co-expression networks, and omics-based eRNA-centric regulatory networks. Our eRNA-IDO carries sufficient practicability and significance for understanding the biogenesis and functions of eRNAs. The eRNA-IDO server is freely available at<jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://bioinfo.szbl.ac.cn/eRNA_IDO/">http://bioinfo.szbl.ac.cn/eRNA_IDO/</jats:ext-link>. | ||
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| 650 | 4 | |a 570 |7 (dpeaa)DE-84 | |
| 700 | 1 | |a Gong, Lihai |4 aut | |
| 700 | 1 | |a Ding, Ruofan |4 aut | |
| 700 | 1 | |a Chen, Wenyan |4 aut | |
| 700 | 1 | |a Rong, Hao |4 aut | |
| 700 | 1 | |a Li, Yanguo |4 aut | |
| 700 | 1 | |a Shameem, Fawziya |4 aut | |
| 700 | 1 | |a Ali, Korakkandan Arshad |4 aut | |
| 700 | 1 | |a Li, Lei |4 aut | |
| 700 | 1 | |a Liao, Qi |4 aut | |
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