Potential role of blood platelets in antiviral response, tissue healing, and thrombotic complications during COVID-19

Description

Background: Platelets are small, non-nucleated elements that play an essential role in maintaining homeostasis and modulating tissue responses, carrying a set of translation-competent mRNA molecules. Methods: We examined the mRNA content of platelets isolated from blood obtained from hospitalized COVID-19 patients during the acute phase of the disease with pneumonia. Type of Data: RNA sequencing data RNA sequencing data from blood platelets of COVID-19 patients (target group; n=28) and healthy individuals (control group, n=30). Libraries for Nanopore sequencing were prepared from total RNAs according to the manufacturer's protocols (Oxford Nanopore Technologies Ltd, Oxford, UK) for PCR-cDNA barcoding (SQK-PCB109). Samples were run on a flow cell R9.4.1 using the GridION mk1 sequencer. Sequencing runs were operated using the MinKNOW software (v.21.02.5). Raw fast5 data obtained from nanopore sequencing were basecalled by Guppy basecaller (v4.2.3, High-accuracy basecalling mode). Primers and adapters sequences were trimmed automatically by sequencing software (MinKNOW, guppy). The reads have been mapped to the Hg38 transcript (RefSeq transcripts NCBI, data retrieved 2022-04-24) by the Minimap2 algorithm (v2.17-r941) with a default set of parameters dedicated to nanopore data (-x map-ont). The results were evaluated for each gene, normalized by reads count for each sample, and compared between the target group (COVID-19 patients) and control groups (healthy individuals).

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RNA sequencing data RNA sequencing data from blood platelets of COVID-19 patients (target group; n=28) and healthy individuals (control group, n=30). Libraries for Nanopore sequencing were prepared from total RNAs according to the manufacturer's protocols (Oxford Nanopore Technologies Ltd, Oxford, UK) for PCR-cDNA barcoding (SQK-PCB109). Samples were run on a flow cell R9.4.1 using the GridION mk1 sequencer. Sequencing runs were operated using the MinKNOW software (v.21.02.5). Raw fast5 data obtained from nanopore sequencing were basecalled by Guppy basecaller (v4.2.3, High-accuracy basecalling mode). Primers and adapters sequences were trimmed automatically by sequencing software (MinKNOW, guppy). The reads have been mapped to the Hg38 transcript (RefSeq transcripts NCBI, data retrieved 2022-04-24) by the Minimap2 algorithm (v2.17-r941) with a default set of parameters dedicated to nanopore data (-x map-ont). The results were evaluated for each gene, normalized by reads count for each sample, and compared between the target group (COVID-19 patients) and control groups (healthy individuals).

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