TY - JOUR

T1 - Revealing differential expression patterns of piRNA in FACS blood cells of SARS-CoV-2 infected patients

AU - Kondratov, Kirill A

AU - Artamonov, Alexander A

AU - Nikitin, Yuri V

AU - Velmiskina, Anastasiya A

AU - Mikhailovskii, Vladimir Yu

AU - Mosenko, Sergey V

AU - Polkovnikova, Irina A

AU - Asinovskaya, Anna Yu

AU - Apalko, Svetlana V

AU - Sushentseva, Natalya N

AU - Ivanov, Andrey M

AU - Scherbak, Sergey G

N1 - © 2024. The Author(s).

PY - 2024/12/1

Y1 - 2024/12/1

N2 - Non-coding RNA expression has shown to have cell type-specificity. The regulatory characteristics of these molecules are impacted by changes in their expression levels. We performed next-generation sequencing and examined small RNA-seq data obtained from 6 different types of blood cells separated by fluorescence-activated cell sorting of severe COVID-19 patients and healthy control donors. In addition to examining the behavior of piRNA in the blood cells of severe SARS-CoV-2 infected patients, our aim was to present a distinct piRNA differential expression portrait for each separate cell type. We observed that depending on the type of cell, different sorted control cells (erythrocytes, monocytes, lymphocytes, eosinophils, basophils, and neutrophils) have altering piRNA expression patterns. After analyzing the expression of piRNAs in each set of sorted cells from patients with severe COVID-19, we observed 3 significantly elevated piRNAs - piR-33,123, piR-34,765, piR-43,768 and 9 downregulated piRNAs in erythrocytes. In lymphocytes, all 19 piRNAs were upregulated. Monocytes were presented with a larger amount of statistically significant piRNA, 5 upregulated (piR-49039 piR-31623, piR-37213, piR-44721, piR-44720) and 35 downregulated. It has been previously shown that piR-31,623 has been associated with respiratory syncytial virus infection, and taking in account the major role of piRNA in transposon silencing, we presume that the differential expression patterns which we observed could be a signal of indirect antiviral activity or a specific antiviral cell state. Additionally, in lymphocytes, all 19 piRNAs were upregulated.

AB - Non-coding RNA expression has shown to have cell type-specificity. The regulatory characteristics of these molecules are impacted by changes in their expression levels. We performed next-generation sequencing and examined small RNA-seq data obtained from 6 different types of blood cells separated by fluorescence-activated cell sorting of severe COVID-19 patients and healthy control donors. In addition to examining the behavior of piRNA in the blood cells of severe SARS-CoV-2 infected patients, our aim was to present a distinct piRNA differential expression portrait for each separate cell type. We observed that depending on the type of cell, different sorted control cells (erythrocytes, monocytes, lymphocytes, eosinophils, basophils, and neutrophils) have altering piRNA expression patterns. After analyzing the expression of piRNAs in each set of sorted cells from patients with severe COVID-19, we observed 3 significantly elevated piRNAs - piR-33,123, piR-34,765, piR-43,768 and 9 downregulated piRNAs in erythrocytes. In lymphocytes, all 19 piRNAs were upregulated. Monocytes were presented with a larger amount of statistically significant piRNA, 5 upregulated (piR-49039 piR-31623, piR-37213, piR-44721, piR-44720) and 35 downregulated. It has been previously shown that piR-31,623 has been associated with respiratory syncytial virus infection, and taking in account the major role of piRNA in transposon silencing, we presume that the differential expression patterns which we observed could be a signal of indirect antiviral activity or a specific antiviral cell state. Additionally, in lymphocytes, all 19 piRNAs were upregulated.

KW - covid-19

KW - Humans

KW - COVID-19/genetics

KW - RNA, Small Interfering/metabolism

KW - SARS-CoV-2/genetics

KW - Flow Cytometry

KW - Male

KW - Female

KW - Middle Aged

KW - Monocytes/metabolism

KW - Adult

KW - Blood Cells/metabolism

KW - Piwi-Interacting RNA

KW - Blood cells

KW - Erythrocytes

KW - Neutrophils

KW - Next generation sequencing of smallRNAs

KW - Monocytes

KW - Basophils

KW - Lymphocytes

KW - piRNA

KW - Severe COVID−19

KW - Eosinophils

UR - https://www.mendeley.com/catalogue/859447d4-6752-3722-aea2-b670d051b307/

U2 - 10.1186/s12920-024-01982-9

DO - 10.1186/s12920-024-01982-9

M3 - Article

C2 - 39143590

VL - 17

JO - BMC Medical Genomics

JF - BMC Medical Genomics

SN - 1755-8794

IS - 1

M1 - 212

ER -