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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
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
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Resource and Technical Advance Cardiology Vascular biology

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

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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.

Authors

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

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Figure 3

Tissue sources of ex‑mRNAs.

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Tissue sources of ex‑mRNAs.
Heatmap with the top the 821 most abundant e...
Heatmap with the top the 821 most abundant ex-mRNAs in circulation for untreated and PNK-treated samples (left), together with the corresponding expression in selected cells or tissues (right). Selected tissue-specific/enriched mRNAs are labeled together with the tissue specificity score. Shown are results from n = 6 individual samples per condition. Tissue and cell RNA-seq data used for the tissue heatmap are listed in Supplemental Data 6.

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