IL-1α Counteract TGF-ß Regulated Genes and Pathways in Human Fibroblasts.

Dysregulated wound healing is commonly associated with excessive fibrosis. Connective tissue growth factor (CTGF/CCN2) is characteristically overexpressed in fibrotic diseases and stimulated by transforming growth factor-ß (TGF-ß) in dermal fibroblasts. We previously showed that interleukin-1 (IL-1α) counteracts TGF-ß-stimulated CTGF mRNA and protein expression in these cells. The aim of this study was to explore the effects of IL-1α on further genes and pathways in TGF-ß regulated fibroblasts. Transcriptional microarray and multiple comparison analysis showed that the antagonizing effects of IL-1α was much more prominent than the synergistic effects, both with respect to number of genes and extent of changes in gene expression. Moreover, comparing canonical pathways by gene set enrichment analysis and the Ingenuity Pathway Analysis tool revealed that IL-1α counteracted TGF-ß in the top six most confident pathways regulated by both cytokines. Interferon and IL-1 signaling, as well as two pathways involved in apoptosis signaling were suppressed by TGF-ß and activated by IL-1α. Pathways involving actin remodeling and focal adhesion dynamics were activated by TGF-ß and suppressed by IL-1α. Analyzing upstream regulators in part corroborate the comparison of canonical pathways and added cell cycle regulators as another functional group regulated by IL-1α. Finally, gene set enrichment analysis of fibrosis-related genes indicated that IL-1 moderately counteracts the collective effect of TGF-ß on these genes. Microarray results were validated by qPCR. Taken together, the results indicate prominent antagonistic effects of IL-1α on TGF-ß regulated interferon signaling, as well as on a wide variety of other genes and pathways in fibroblasts. J. Cell. Biochem. 117: 1622-1632, 2016. © 2015 Wiley Periodicals, Inc.

Comparison of SARS-CoV-2 whole genome sequencing using tiled amplicon enrichment and bait hybridization.

The severe acute respiratory syndrome coronavirus 2 (SARS­CoV­2) pandemic has led to extensive virological monitoring by whole genome sequencing (WGS). Investigating the advantages and limitations of different protocols is key when conducting population-level WGS. SARS-CoV-2 positive samples with Ct values of 14-30 were run using three different protocols: the Twist Bioscience SARS­CoV­2 protocol with bait hybridization enrichment sequenced with Illumina, and two tiled amplicon enrichment protocols, ARTIC V3 and Midnight, sequenced with Illumina and Oxford Nanopore Technologies, respectively. Twist resulted in better coverage uniformity and coverage of the entire genome, but has several drawbacks: high human contamination, laborious workflow, high cost, and variation between batches. The ARTIC and Midnight protocol produced an even coverage across samples, and almost all reads were mapped to the SARS-CoV-2 reference. ARTIC and Midnight represent robust, cost-effective, and highly scalable methods that are appropriate in a clinical environment. Lineage designations were uniform across methods, representing the dominant lineages in Sweden during the period of collection. This study provides insights into methodological differences in SARS­CoV­2 sequencing and guidance in selecting suitable methods for various purposes.