Genomic surveillance of SARS-CoV-2 in COVID-19 vaccinated healthcare workers in Lebanon.

BACKGROUND: The emergence of SARS-CoV-2 variants including the Delta and Omicron along with waning of vaccine-induced immunity over time contributed to increased rates of breakthrough infection specifically among healthcare workers (HCWs). SARS-CoV-2 genomic surveillance is an important tool for timely detection and characterization of circulating variants as well as monitoring the emergence of new strains. Our study is the first national SARS-CoV-2 genomic surveillance among HCWs in Lebanon. METHODS: We collected 250 nasopharyngeal swabs from HCWs across Lebanon between December 2021 and January 2022. Data on the date of positive PCR, vaccination status, specific occupation, and hospitalization status of participants were collected. Extracted viral RNA from nasopharyngeal swabs was converted to cDNA, library prepped using the coronaHIT method, followed by whole genome sequencing on the Illumina NextSeq 500 platform. RESULTS: A total of 133 (57.1%) samples belonging to the Omicron (BA.1.1) sub-lineage were identified, as well as 44 (18.9%) samples belonging to the BA.1 sub-lineage, 28 (12%) belonging to the BA.2 sub-lineage, and only 15 (6.6%) samples belonging to the Delta variant sub-lineage B.1.617.2. These results show that Lebanon followed the global trend in terms of circulating SARS-CoV-2 variants with Delta rapidly replaced by the Omicron variant. CONCLUSION: This study underscores the importance of continuous genomic surveillance programs in Lebanon for the timely detection and characterization of circulating variants. The latter is critical to guide public health policy making and to timely implement public health interventions.

Transcriptome datasets of neural progenitors and neurons differentiated from induced pluripotent stem cells of healthy donors and Parkinson's disease patients with mutations in the PARK2 gene.

Parkinson's disease (PD) is a complex systemic disorder caused by neurodegenerative processes in the brain that are mainly characterized by progressive loss of dopaminergic neurons in the substantia nigra. About 10% of PD cases have been linked to specific gene mutations (Zafar and Yaddanapudi, 2022) including the PARK2 gene that encodes a RING domain-containing E3 ubiquitin ligase Parkin. PD-Parkin patients have a younger onset, longer disease duration, and more severe clinical symptoms in comparison to PD patients with unknown causative PD mutations (Zhou et al., 2020). Induced pluripotent stem cells (iPSCs) are considered to be a powerful tool for disease modeling. To evaluate how mutations in PARK2 contribute to PD development, iPSC lines were obtained from three healthy donors and three PD patients with different mutations in the PARK2 gene. iPSC lines were differentiated consequently into neural progenitors (NPs) and then into terminally differentiated neurons (DNs). The data presented in this article were generated on an NextSeq 500 System (Illumina) and include transcriptome profiles for NPs and DNs of healthy donors and PD patients with mutations in the PARK2 gene. Top10 up- and down-regulated differentially expressed genes in NPs and DNs of patients with PD compared to healthy donors were also presented. A comparative transcriptome analysis of neuronal derivatives of healthy donors and PD patients allows to examine the contributions of the PARK2 gene mutations to PD pathogenesis.

Isolation and Analysis of MicroRNAs from Extracellular Vesicles of the Parasitic Model Nematodes Nippostrongylus brasiliensis and Trichuris muris.

The identification, detection, and use of small RNA species have rapidly gained interest-especially to study parasite-host interactions. Parasite-to-host communication is contributed by small secreted extracellular vesicle (EV)-derived nucleic acid species. In particular, microRNAs (miRNAs) and small interfering RNAs can regulate the host response by targeting cells at both transcriptional and posttranscriptional levels. Here, modified protocols for density gradient purification of EVs from nematodes and the subsequent extraction of EV-derived small RNAs using commercially available reagents and kits are provided with a special focus on basic background information. Further, considerations for Next-Generation Sequencing using the Illumina NextSeq500 sequencing technology (kit-based library preparation, small RNA sequencing, and miRNA sequence analysis pipelines using the miRDeep2 package) are introduced.

High concordance between Illumina HiSeq2500 and NextSeq500 for reduced representation bisulfite sequencing (RRBS).

Reduced representation bisulfite sequencing (RRBS) provides an efficient method for measuring DNA methylation at single base resolution in regions of high CpG density. This technique has been extensively tested on the HiSeq2500, which uses a 4-colour detection method, however it is unclear if the method will also work on the NextSeq500 platform, which employs a 2-colour detection system. We created an RRBS library and sequenced it on both the HiSeq2500 and NextSeq500, and found no significant difference in the base composition of reads derived from either machine. Moreover, the methylation calls made from the data of each instrument were highly concordant, with methylation patterns across the genome appearing as expected. Therefore, RRBS can be sequenced on the Nextseq500 with comparable quality to that of the HiSeq2500. All sequencing data are deposited in the GEO database under accession number GSE87097.