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Detection of circulating extracellular mRNAs by modified small-RNA-sequencing analysis

  • Kemal M. Akat
  • , Youngmin A. Lee
  • , Arlene Hurley
  • , Pavel Morozov
  • , Klaas E.A. Max
  • , Miguel Brown
  • , Kimberly Bogardus
  • , Anuoluwapo Sopeyin
  • , Kai Hildner
  • , Thomas G. Diacovo
  • , Markus F. Neurath
  • , Martin Borggrefe
  • , Thomas Tuschl
  • Rockefeller University
  • Friedrich-Alexander University Erlangen-Nürnberg
  • Heidelberg University 

Research output: Contribution to journalArticlepeer-review

45 Scopus citations

Abstract

Extracellular mRNAs (ex-mRNAs) potentially supersede extracellular miRNAs (ex-miRNAs) and other RNA classes as biomarkers. We performed conventional small-RNA-sequencing (sRNA-seq) and sRNA-seq with T4 polynucleotide kinase (PNK) end treatment of total extracellular RNAs (exRNAs) isolated from serum and platelet-poor EDTA, acid citrate dextrose (ACD), and heparin plasma to study the effect on ex-mRNA capture. Compared with conventional sRNA-seq, PNK treatment increased the detection of informative ex-mRNAs reads up to 50-fold. The exRNA pool was dominated by RNA originating from hematopoietic cells and platelets, with additional contribution from the liver. About 60% of the 15- to 42-nt reads originated from the coding sequences, in a pattern reminiscent of ribosome profiling. Blood sample type had a considerable influence on the exRNA profile. On average approximately 350-1100 distinct ex-mRNA transcripts were detected depending on plasma type. In serum, additional transcripts from neutrophils and hematopoietic cells increased this number to near 2300. EDTA and ACD plasma showed a destabilizing effect on ex-mRNA and noncoding RNA ribonucleoprotein complexes compared with other plasma types. In a proof-of-concept study, we investigated differences between the exRNA profiles of patients with acute coronary syndrome and healthy controls. The improved tissue resolution of ex-mRNAs after PNK treatment enabled us to detect a neutrophil signature in ACS that escaped detection by ex-miRNA analysis.

Original languageEnglish
Article numbere127317
JournalJCI Insight
Volume4
Issue number9
DOIs
StatePublished - 2019

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