The aim of this study was to investigate cell source‐dependent nucleic acids repertoire of diverse subpopulations of plasma extracellular vesicles (EVs). Blood plasma from nine healthy volunteers was used for the analysis. Samples of EVs were obtained by differential centrifugation of plasma. The application of high‐sensitivity fluorescence‐activated vesicles sorting (hs‐FAVS) using fluorophore‐conjugated anti‐CD41‐FITC (Fluorescein isothiocyanate) and anti‐CD235a‐PE antibodies allowed the isolation of three subpopulations of EVs, namely CD41+ CD235a‐, CD41‐CD235a+ and CD41‐CD235a dim. The high purity (>97%) of the sorted subpopulations was verified by high‐sensitivity flow cytometry. Presence of nanosized objects in sorted samples was confirmed by combination of low‐voltage scanning electron microscopy and dynamic light scattering. The amount of material in sorted samples was enough to perform Quantitative polymerase chain reaction (qPCR)‐based nucleic acid quantification. The most prominent differences in the nucleic acid repertoire were noted between CD41+ CD235‐ vs. CD41‐CD235a+ vesicles: the former contained significantly ( p = 0.004) higher amount of mitochondrial DNA, and platelet enriched miR‐21‐5p (4‐fold), miR‐223‐3p (38‐fold) and miR‐199a‐3p (187‐fold), but lower amount of erythrocyte enriched miR‐451a (90‐fold). CD41‐CD235a+ and CD41‐CD235a dim vesicles differed in levels of miR‐451a ( p = 0.016) and miR‐21‐5p ( p = 0.031). Nuclear DNA was below the limit of detection in all EV subpopulations. The hs‐FCM‐based determination of the number of sorted EVs allowed the calculation of per single‐event miRNA concentrations. It was demonstrated that the most abundant marker in CD41+ CD235a‐ subpopulation was miR‐223‐3p, reaching 38.2 molecules per event. In the CD41‐CD235+ subpopulation, the most abundant marker was miR‐451a, reaching 24.7 molecules per event. Taken together, our findings indicate that erythrocyte‐ and platelet‐derived EVs carry different repertoires of nucleic acids, which were similar to the composition of their cellular sources.

Extracellular vesicles secreted by cells represent an almost spherical membrane structures enriched with biological molecules of different types. The number and molecular composition of these...

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.

Severe COVID-19 alters the biochemical and morphological characteristics of blood cells in a wide variety of ways. To date, however, the vast majority of research has been devoted to the study of leukocytes, while erythrocyte morphological changes have received significantly less attention. The aim of this research was to identify erythrocyte morphology abnormalities that occur in COVID-19, compare the number of different poikilocyte types, and measure erythrocyte sizes to provide data on size dispersion. Red blood cells obtained from 6 control donors (800–2200 cells per donor) and 5 COVID-19 patients (800–1900 cells per patient) were examined using low-voltage scanning electron microscopy. We did not discover any forms of erythrocyte morphology abnormalities that would be specific to COVID-19. Among COVID-19 patients, we observed an increase in the number of acanthocytes (p = 0.01) and a decrease in the number of spherocytes (p = 0.03). In addition, our research demonstrates that COVID-19 causes an increase in the median (p = 0.004) and interquartile range (p = 0.009) when assessing erythrocyte size. The limitation of our study is a small number of participants.

The study of extracellular miRNA is one of the most dynamic areas of modern biomedical research. Oftentimes, there is a need to isolate miRNAs associated with a particular carrier, for example, a ribonucleoprotein complex. The most thoroughly investigated protein component of these complexes is Ago2. Complexes are commonly isolated by immunoprecipitation with specific antibodies. Here we compare three methods for immunoprecipitating Ago2/microRNA complexes from blood plasma. In the first protocol, anti-Ago2-antibodies are added to the plasma following protein A-sepharose. In second protocol, anti-Ago2-antibodies are bound to sepharose from the very beginning, and then mixed with plasma. The third protocol differs from the second in that sepharose is blocked by non-specific antibodies at the final stage. To compare the efficiency of these protocols, the levels of miR-16-5p, miR-21-5p, and miR-144-3p were analyzed after precipitation with anti-Ago2 antibodies and control antibodies. For miR-16-5p all protocols were efficient, for miR-21-5p only the second technique yielded results, while for miR-144-3p none of the protocols resulted in extraction. Thus, we conclude that different protocols for immunoprecipitation of microRNA/Ago2 complexes favor different miRNAs.

TRNA-derived fragments function as markers in addition to playing the key role of signalling molecules in a number of disorders. It is known that the repertoire of these molecules differs greatly in different cell types and varies depending on the physiological condition. The aim of our research was to compare the pattern of tRF expression in the main blood cell types and to determine how the composition of these molecules changes during COVID-19-induced cytokine storms. Erythrocytes, monocytes, lymphocytes, neutrophils, basophils and eosinophils from control donors and patients with severe COVID-19 were obtained by fluorescence sorting. We extracted RNA from FACS-sorted cells and performed NGS of short RNAs. The composition of tRNA-derived fragments was analysed by applying a semi-custom bioinformatic pipeline. In this study, we assessed the length and type distribution of tRFs and reported the 150 most prevalent tRF sequences across all cell types. Additionally, we demonstrated a significant (p < 0.05, fold change >16) change in the pattern of tRFs in erythrocytes (21 downregulated, 12 upregulated), monocytes (53 downregulated, 38 upregulated) and lymphocytes (49 upregulated) in patients with severe COVID-19. Thus, different blood cell types exhibit a significant variety of tRFs and react to the cytokine storm by dramatically changing their differential expression patterns. We suppose that the observed phenomenon occurs due to the regulation of nucleotide modifications and alterations in activity of various Rnases.