Depletion‐assisted multiplexed cell‐free RNA sequencing reveals distinct human and microbial signatures in plasma versus extracellular vesicles

Author:

Wang Hongke123ORCID,Zhan Qing12,Ning Meng4,Guo Hongjie5,Wang Qian6,Zhao Jiuliang6ORCID,Bao Pengfei127,Xing Shaozhen12,Chen Shanwen8,Zuo Shuai8,Xia Xuefeng3,Li Mengtao6,Wang Pengyuan8,Lu Zhi John12

Affiliation:

1. MOE Key Laboratory of Bioinformatics, Center for Synthetic and Systems Biology, School of Life Sciences Tsinghua University Beijing China

2. Institute for Precision Medicine Tsinghua University Beijing China

3. Geneplus‐Beijing Institute Beijing China

4. Tianjin Third Central Hospital Tianjin China

5. Department of Interventional Radiology and Vascular Surgery Peking University First Hospital Beijing China

6. Department of Rheumatology and Clinical Immunology, Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC‐DID), MST State Key Laboratory of Complex Severe and Rare Diseases, MOE Key Laboratory of Rheumatology and Clinical Immunology Peking Union Medical College Hospital, Chinese Academy of Medical Sciences Beijing China

7. School of Life Sciences Peking University–Tsinghua University–National Institute of Biological Sciences Joint Graduate Program, Tsinghua University Beijing China

8. Gastrointestinal Surgery Peking University First Hospital Beijing China

Abstract

AbstractBackgroundCell‐free long RNAs in human plasma and extracellular vesicles (EVs) have shown promise as biomarkers in liquid biopsy, despite their fragmented nature.MethodsTo investigate these fragmented cell‐free RNAs (cfRNAs), we developed a cost‐effective cfRNA sequencing method called DETECTOR‐seq (depletion‐assisted multiplexed cell‐free total RNA sequencing). DETECTOR‐seq utilised a meticulously tailored set of customised guide RNAs to remove large amounts of unwanted RNAs (i.e., fragmented ribosomal and mitochondrial RNAs) in human plasma. Early barcoding strategy was implemented to reduce costs and minimise plasma requirements.ResultsUsing DETECTOR‐seq, we conducted a comprehensive analysis of cell‐free transcriptomes in both whole human plasma and EVs. Our analysis revealed discernible distributions of RNA types in plasma and EVs. Plasma exhibited pronounced enrichment in structured circular RNAs, tRNAs, Y RNAs and viral RNAs, while EVs showed enrichment in messenger RNAs (mRNAs) and signal recognition particle RNAs (srpRNAs). Functional pathway analysis highlighted RNA splicing‐related ribonucleoproteins (RNPs) and antimicrobial humoral response genes in plasma, while EVs demonstrated enrichment in transcriptional activity, cell migration and antigen receptor‐mediated immune signals. Our study indicates the comparable potential of cfRNAs from whole plasma and EVs in distinguishing cancer patients (i.e., colorectal and lung cancer) from healthy donors. And microbial cfRNAs in plasma showed potential in classifying specific cancer types.ConclusionsOur comprehensive analysis of total and EV cfRNAs in paired plasma samples provides valuable insights for determining the need for EV purification in cfRNA‐based studies. We envision the cost effectiveness and efficiency of DETECTOR‐seq will empower transcriptome‐wide investigations in the fields of cfRNAs and liquid biopsy.Keypoints DETECTOR‐seq (depletion‐assisted multiplexed cell‐free total RNA sequencing) enabled efficient and specific depletion of sequences derived from fragmented ribosomal and mitochondrial RNAs in plasma. Distinct human and microbial cell‐free RNA (cfRNA) signatures in whole Plasma versus extracellular vesicles (EVs) were revealed. Both Plasma and EV cfRNAs were capable of distinguishing cancer patients from normal individuals, while microbial RNAs in Plasma cfRNAs enabled better classification of cancer types than EV cfRNAs.

Funder

National Natural Science Foundation of China

Publisher

Wiley

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