Dataset Information

Small RNA sequencing of lipoproteins (HDL) obtained from germ-free mice and facility matched specific-pathogen free mice.

ABSTRACT: Plasma was harvested from two cohorts of facility-matched germ free (GF) and specific-pathogen free (SPF) mice at the National Gnotobiotic Rodent Resource Center (NGRRC; North Carolina, USA). Plasma was then fractionated by size-exclusion chromatography using three tandem Superdex200 increase columns (Cytiva). Fractions corresponding with HDL were then pooled and concentrated prior to RNA isolation. Small RNA libraries were generated from total RNA using NextFlex V3 Small RNA Seq-kit (Perkin Elmer) according to manufacturer’s instructions. Equimolar amounts of each library were then pooled and sequenced on the NextSeq500 platform (Illumina). Individual libraries were then demultiplexed and analyzed with the TIGER analytical pipeline.

ORGANISM(S): Mus musculus

PROVIDER: GSE206857 | GEO | 2022/06/29

REPOSITORIES: GEO

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Project description:Cell-free RNAs in biofluids provide opportunities to monitor cancer in a non-invasive manner. Although extracellular microRNAs are extensively characterized, fragmented cell-free long RNAs are not well investigated. Here, we developed Detector-seq (depletion-assisted multiplexing cell-free total RNA sequencing) to enable the deciphering of the cell-free transcriptome. After demonstrating the superior performance of detecting fragmented cell-free long RNAs, we applied Detector-seq to compare cell-free RNAs in human plasma and its extracellular vesicle (EV). Distinct human and microbial RNA signatures were revealed. Structured circular RNA, tRNA, and Y RNA were enriched in plasma, while mRNA and srpRNA were enriched in EV. Meanwhile, cell-free RNAs derived from the virus were more enriched in plasma than in EV. We identified RNAs that showed a selective distribution between plasma and EV and uncovered their distinct functional pathways, that is RNA splicing, antimicrobial humoral response enriched in plasma and transcriptional activity, cell migration, and antigen receptor-mediated immune signals enriched in EV. Although distinctive cancer-relevant RNA signals were identified in plasma and EV, a comparable performance of distinguishing cancer patients from normal individuals could be achieved. Compared to human RNAs, microbe-derived RNA features enabled better classification between colorectal and lung cancer. And for these microbial RNAs, plasma RNAs outperformed EV RNAs for the discrimination of cancer types. Overall, our work provides insights into the unexplored difference of cell-free RNA signals between plasma and EV, thus offering practical guidance for proper selection (with/without EV enrichment) when launching an RNA-based liquid biopsy study. Furthermore, with the ability to capture understudied cell-free long RNA fragments, Detector-seq offers new possibilities for transcriptome-wide characterization of cell-free RNAs to facilitate the understanding of extracellular RNA biology and clinical advances of liquid biopsy.

Dataset Information

Small RNA sequencing of lipoproteins (HDL) obtained from germ-free mice and facility matched specific-pathogen free mice.

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