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  AnnoMiner is a new web-tool to integrate epigenetics, transcription factor occupancy and transcriptomics data to predict transcriptional regulators

Meiler, A., Marchiano, F., Haering, M., Weitkunat, M., Schnorrer, F., & Habermann, B. H. (2021). AnnoMiner is a new web-tool to integrate epigenetics, transcription factor occupancy and transcriptomics data to predict transcriptional regulators. Scientific Reports, 11(1): 15463. doi:10.1038/s41598-021-94805-1.

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 Creators:
Meiler, Arno1, Author           
Marchiano, Fabio2, Author
Haering, Margaux2, Author
Weitkunat, Manuela3, Author           
Schnorrer, Frank3, Author           
Habermann, Bianca H.4, Author           
Affiliations:
1Pichlmair, Andreas / Innate Immunity, Max Planck Institute of Biochemistry, Max Planck Society, ou_1565166              
2external, ou_persistent22              
3Schnorrer, Frank / Muscle Dynamics, Max Planck Institute of Biochemistry, Max Planck Society, ou_1565168              
4Habermann, Bianca / Computational Biology, Max Planck Institute of Biochemistry, Max Planck Society, ou_1832284              

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Free keywords: CHIP-SEQ; GENE-REGULATION; ENRICHMENT ANALYSIS; TRANSGENIC RNAI; PEAK ANNOTATION; DNA ELEMENTS; GENOME; PROTEIN; ENCYCLOPEDIA; DROSOPHILAScience & Technology - Other Topics;
 Abstract: Gene expression regulation requires precise transcriptional programs, led by transcription factors in combination with epigenetic events. Recent advances in epigenomic and transcriptomic techniques provided insight into different gene regulation mechanisms. However, to date it remains challenging to understand how combinations of transcription factors together with epigenetic events control cell-type specific gene expression. We have developed the AnnoMiner web-server, an innovative and flexible tool to annotate and integrate epigenetic, and transcription factor occupancy data. First, AnnoMiner annotates user-provided peaks with gene features. Second, AnnoMiner can integrate genome binding data from two different transcriptional regulators together with gene features. Third, AnnoMiner offers to explore the transcriptional deregulation of genes nearby, or within a specified genomic region surrounding a user-provided peak. AnnoMiner's fourth function performs transcription factor or histone modification enrichment analysis for user-provided gene lists by utilizing hundreds of public, high-quality datasets from ENCODE for the model organisms human, mouse, Drosophila and C. elegans. Thus, AnnoMiner can predict transcriptional regulators for a studied process without the strict need for chromatin data from the same process. We compared AnnoMiner to existing tools and experimentally validated several transcriptional regulators predicted by AnnoMiner to indeed contribute to muscle morphogenesis in Drosophila. AnnoMiner is freely available at http://chimborazo.ibdm.univ-mrs.fr/AnnoMiner/.

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Language(s): eng - English
 Dates: 2021
 Publication Status: Published online
 Pages: 21
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Degree: -

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Title: Scientific Reports
  Abbreviation : Sci. Rep.
Source Genre: Journal
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Publ. Info: London, UK : Nature Publishing Group
Pages: - Volume / Issue: 11 (1) Sequence Number: 15463 Start / End Page: - Identifier: ISSN: 2045-2322
CoNE: https://pure.mpg.de/cone/journals/resource/2045-2322