Journal of Extracellular VesiclesBioinformaticsPeer-reviewed journal article
Bioinformatic analysis of endogenous and exogenous small RNAs on lipoproteins
Ryan M. AlleniD, Shilin ZhaoiD, Marisol A. Ramirez Solano, Wanying ZhuiD, Danielle L. MichelliD, Yuhuan WangiD, Yu ShyriD, Praveen SethupathyiD, MacRae F. LintoniD, Gregory A. GrafiD, Quanhu ShengiD, Kasey C. VickersiD
Abstract
To comprehensively study extracellular small RNAs (sRNA) by sequencing (sRNA-seq), we developed a novel pipeline to overcome current limitations in analysis entitled, \"Tools for Integrative Genome analysis of Extracellular sRNAs (TIGER)\". To demonstrate the power of this tool, sRNA-seq was performed on mouse lipoproteins, bile, urine, and liver samples. A key advance for the TIGER pipeline is the ability to analyze both host and non-host sRNAs at genomic, parent RNA, and individual fragment levels. TIGER was able to identify approximately 60% of sRNAs on lipoproteins, and >85% of sRNAs in liver, bile, and urine, a significant advance compared to existing software. Results suggest that the majority of sRNAs on lipoproteins are non-host sRNAs derived from bacterial sources in the microbiome and environment, specifically rRNA-derived sRNAs from Proteobacteria. Collectively, TIGER facilitated novel discoveries of lipoprotein and biofluid sRNAs and has tremendous applicability for the field of extracellular RNA.
- organism: mouse
- assay: bulk RNA-seq
- research focus: benchmarking
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: cell type annotation
- approach: statistical model
- Citations
- 80
- FWCI
- 2.84
- Field percentile
- top 8%
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