2018
DOI: 10.1038/s41467-018-03751-6
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Massive mining of publicly available RNA-seq data from human and mouse

Abstract: RNA sequencing (RNA-seq) is the leading technology for genome-wide transcript quantification. However, publicly available RNA-seq data is currently provided mostly in raw form, a significant barrier for global and integrative retrospective analyses. ARCHS4 is a web resource that makes the majority of published RNA-seq data from human and mouse available at the gene and transcript levels. For developing ARCHS4, available FASTQ files from RNA-seq experiments from the Gene Expression Omnibus (GEO) were aligned us… Show more

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Cited by 603 publications
(683 citation statements)
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“…However, according to various online databases (ARCHS and BioGPS), which compile data from various RNA-seq and microarray studies, GPR83 is also expressed in a variety of immune cells including B cells, granulocytes, and neutrophils. 65,66 …”
Section: Role Of Gpr83 In Immune Functionmentioning
confidence: 99%
“…However, according to various online databases (ARCHS and BioGPS), which compile data from various RNA-seq and microarray studies, GPR83 is also expressed in a variety of immune cells including B cells, granulocytes, and neutrophils. 65,66 …”
Section: Role Of Gpr83 In Immune Functionmentioning
confidence: 99%
“…Nonetheless, 34 orphan receptors have proposed endogenous ligands ( yellow boxes ), whereas the majority do not ( black boxes ). Gene expression data reveals abundant and ubiquitous tissue expression for many orphan receptors (Lachmann et al, ; green ring , darker shading denotes higher abundance ). Aggregated disease associations for orphan receptors from OpenTargets (Carvalho‐Silva et al, ) highlight the clinical relevance and therapeutic potential across disease areas ( purple ring , darker shading denotes stronger association ).…”
Section: Gpcrs and De‐orphanisationmentioning
confidence: 99%
“…Analysis of LINC00941 regulated genes per [20] (GSE59827) and Bao et al [21] (GSE67382) keratinocytes were downloaded from the Gene Expression Omnibus (GEO) database [40] and uploaded into UCSC [41] to visualize the peak location with respect to SPRR5. Furthermore, the prediction of upstream transcription factors for SPRR5 was done with the ARCHS 4 tool from the Ma'ayan Lab [42]. Inverse regulation of SPRR5 and LINC00941 was tested using publicly available RNA-Seq datasets from squamous cell carcinoma (GSE84293), basal cell carcinoma (GSE58375; both Smoothened inhibitor-sensitive and Smoothened inhibitor-resistant cancer types) and psoriasis (GSE83645) by mapping the reads to hg38 with Bowtie2 (version 2.3.3.1; for GSE83645) [43] or STAR (version 2.5.2b) [28] in either paired or single-stranded mode, depending on the nature of the RNA-Seq data with default settings (except for GSE58375, which was done with -outFilterScoreMinOverLread 0,-outFilterMatchNminOverLread 0, and -outFilterMatchNmin 0).…”
Section: External Datasets and Publicly Available Analysis Toolsmentioning
confidence: 99%