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IRIS3: integrated cell-type-specific regulon inference server from single-cell RNA-Seq.
Ma, Anjun; Wang, Cankun; Chang, Yuzhou; Brennan, Faith H; McDermaid, Adam; Liu, Bingqiang; Zhang, Chi; Popovich, Phillip G; Ma, Qin.
Afiliación
  • Ma A; Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH 43210, USA.
  • Wang C; Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH 43210, USA.
  • Chang Y; Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH 43210, USA.
  • Brennan FH; Department of Neuroscience, Center for Brain and Spinal Cord Repair, Belford Center for Spinal Cord Injury, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA.
  • McDermaid A; Imagenetics, Sanford Health, Sioux Falls, SD 57104, USA.
  • Liu B; Department of Internal Medicine, Sanford School of Medicine, University of South Dakota, Vermillion, SD 57069, USA.
  • Zhang C; School of Mathematics, Shandong University, Jinan 250100, China.
  • Popovich PG; Department of Medical & Molecular Genetics, Indiana University, School of Medicine, Indianapolis, IN 46202, USA.
  • Ma Q; Department of Neuroscience, Center for Brain and Spinal Cord Repair, Belford Center for Spinal Cord Injury, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA.
Nucleic Acids Res ; 48(W1): W275-W286, 2020 07 02.
Article en En | MEDLINE | ID: mdl-32421805
ABSTRACT
A group of genes controlled as a unit, usually by the same repressor or activator gene, is known as a regulon. The ability to identify active regulons within a specific cell type, i.e., cell-type-specific regulons (CTSR), provides an extraordinary opportunity to pinpoint crucial regulators and target genes responsible for complex diseases. However, the identification of CTSRs from single-cell RNA-Seq (scRNA-Seq) data is computationally challenging. We introduce IRIS3, the first-of-its-kind web server for CTSR inference from scRNA-Seq data for human and mouse. IRIS3 is an easy-to-use server empowered by over 20 functionalities to support comprehensive interpretations and graphical visualizations of identified CTSRs. CTSR data can be used to reliably characterize and distinguish the corresponding cell type from others and can be combined with other computational or experimental analyses for biomedical studies. CTSRs can, therefore, aid in the discovery of major regulatory mechanisms and allow reliable constructions of global transcriptional regulation networks encoded in a specific cell type. The broader impact of IRIS3 includes, but is not limited to, investigation of complex diseases hierarchies and heterogeneity, causal gene regulatory network construction, and drug development. IRIS3 is freely accessible from https//bmbl.bmi.osumc.edu/iris3/ with no login requirement.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Regulón / Análisis de la Célula Individual / RNA-Seq Límite: Animals Idioma: En Revista: Nucleic Acids Res Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Regulón / Análisis de la Célula Individual / RNA-Seq Límite: Animals Idioma: En Revista: Nucleic Acids Res Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos