Data: Comprehensive transcriptome assessment in PBMCs of post-COVID patients at a median follow-up of 28 months following a mild COVID infection

Overview Clinical symptoms that persist for at least three months after infection by SARS-CoV-2, i.e. post-acute sequelae of SARS-CoV-2 (PASC), is an escalating global health problem. The mechanisms underlying post-COVID are still unclear, in particular there is a lack of large studies concerning patients with chronic symptoms persisting for several years after a mild COVID-19 infection. The aim of this study was to investigate possible molecular signatures and persistent SARS-CoV-2 gene fragments in patients with PASC up to 28 months after a mild infection. Summary We analyzed the gene expression profile in PBMCs from 60 middle-aged post-COVID patients and 50 age-matched controls, all of whom experienced a mild SARS-CoV-2 infections between March 2020 and February 2022. The uploaded data consist of count table and sample information and can be used for gene expression analysis of patients and controls. Generation of Data Sequencing libraries were prepared from 500ng/μg of polyA selected RNA using the TruSeq stranded mRNA library preparation kit (cat# 20020595, Illumina Inc.). Unique dual indexes (cat# 20022371, Illumina Inc.) were used. The library preparation was performed according to the manufacturers’ protocol (#1000000040498). Sequencing was performed using paired-end 150 bp read length on a NovaSeq X Plus system, 10B flow cell and XLEAP-SBS sequencing chemistry. Samples were analyzed with the nf-core RNA sequencing pipeline release 3.15.1 (nf-co.re/rnaseq). In brief, the pipeline processes raw data from FastQ inputs, aligns the reads, generates counts relative to genes or transcripts and performs extensive quality-control of results. Data Count Data: Samples were analyzed with the nf-core RNA sequencing pipeline release 3.15.1 (nf-co.re/rnaseq). In brief, the pipeline processes raw data from FastQ inputs, aligns the reads, generates counts relative to genes or transcripts and performs extensive quality-control of results. Sample Data: Information regarding SampleName, Sample and Condition