SARS-CoV-2 Impact on Red Blood Cell Morphology

Kondratov, Kirill A.; Artamonov, Alexander A.; Mikhailovskii, Vladimir Yu.; Velmiskina, Anastasiya A.; Mosenko, Sergey V.; Grigoryev, Evgeniy A.; Anisenkova, Anna Yu.; Nikitin, Yuri V.; Apalko, Svetlana V.; Sushentseva, Natalya N.; Ivanov, Andrey M.; Scherbak, Sergey G.

doi:10.3390/biomedicines11112902

Cited by 2 publications

(2 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For accuracy, we checked the quality of sorting with SEM. As can be seen in the presented images (Figure 1 panel A) morphological features of cells correspond with sorted cell types [22,23]. We then isolated RNA from sorted cells, prepared small RNA libraries, performed NGS of small RNA and subjected the raw RNAseq data to bioinformatic analysis in miRMaster 2, details are described in materials and methods.…”

Section: Pirna Expression Of Sorted Healthy Donor Blood Cellsmentioning

confidence: 97%

“…Given the fact how significantly COVID-19 alters the biochemical and morphologic features of blood cells [21][22][23], and taking in account the promising research on interrelations between ncRNA immune regulatory features and COVID-19 [24][25][26], it is necessary to state the importance of studying piRNA expression in blood cells of SARS-CoV-2 infected patients. The aim of this research was to analyze and compare the expression of piRNA in sorted blood cells in healthy control donors and in COVID-19 patients.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A piRNA Portrait for Blood Cells of Healthy Donors and COVID-19 Patients

Kondratov,

Artamonov,

Nikitin

et al. 2024

Preprint

View full text Add to dashboard Cite

The expression of non-coding RNAs varies greatly depending on the cell type and physiological state. Changes in expression affect the regulatory properties of these molecules. We investigated RNA-seq data from sorted blood cells of healthy control donors and severe COVID-19 patients. Our aim was to display a distinguishable piRNA differential expression portrait for each type of cell and to study the behavior of piRNA in the blood cells of COVID-19 patients. Overall piRNA expression in sorted control cells (erythrocytes, monocytes, lymphocytes, eosinophils, basophils, neutrophils) differs depending on cell type. Four of the most abundant piRNA were expressed relatively equally in all cell types, they included piR-49145, piR-49144, piR-49143 and piR-33151. By reviewing piRNA expression in each group of sorted cells from severe COVID-19 patients we observed 3 upregulated and 10 downregulated piRNAs in erythrocytes. Monocytes were presented with a larger amount of statistically significant piRNA, 4 upregulated and 35 downregulated. In lymphocytes, all 19 piRNAs were upregulated.

show abstract

Section: Pirna Expression Of Sorted Healthy Donor Blood Cellsmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

A piRNA Portrait for Blood Cells of Healthy Donors and COVID-19 Patients

Kondratov,

Artamonov,

Nikitin

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

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

Kondratov,

Artamonov,

Nikitin

et al. 2024

BMC Med Genomics

View full text Add to dashboard Cite

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. Supplementary Information The online version contains supplementary material available at 10.1186/s12920-024-01982-9.

show abstract

SARS-CoV-2 Impact on Red Blood Cell Morphology

Cited by 2 publications

References 49 publications

A piRNA Portrait for Blood Cells of Healthy Donors and COVID-19 Patients

A piRNA Portrait for Blood Cells of Healthy Donors and COVID-19 Patients

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

Contact Info

Product

Resources

About