A predominately pulmonary activation of complement in a mouse model of severe COVID-19.

Evidence from in vitro studies and observational human disease data suggest the complement system plays a significant role in SARS-CoV-2 pathogenesis, although how complement dysregulation develops in patients with severe COVID-19 is unknown. Here, using a mouse-adapted SARS-CoV-2 virus (SARS2-N501YMA30) and a mouse model of severe COVID-19, we identify significant serologic and pulmonary complement activation following infection. We observed C3 activation in airway and alveolar epithelia, and in pulmonary vascular endothelia. Our evidence suggests that while the alternative pathway is the primary route of complement activation, components of both the alternative and classical pathways are produced locally by respiratory epithelial cells following infection, and increased in primary cultures of human airway epithelia in response to cytokine exposure. This locally generated complement response appears to precede and subsequently drive lung injury and inflammation. Results from this mouse model recapitulate findings in humans, which suggest sex-specific variance in complement activation, with predilection for increased C3 activity in males, a finding that may correlate with more severe disease. Our findings indicate that complement activation is a defining feature of severe COVID-19 in mice and lay the foundation for further investigation into the role of complement in COVID-19.

Performance of a scalable RNA extraction-free transcriptome profiling method for adherent cultured human cells.

RNA sequencing enables high-content/high-complexity measurements in small molecule screens. Whereas the costs of DNA sequencing and RNA-seq library preparation have decreased consistently, RNA extraction remains a significant bottleneck to scalability. We evaluate the performance of a bulk RNA-seq library prep protocol optimized for analysis of many samples of adherent cultured cells in parallel. We combined a low-cost direct lysis buffer compatible with cDNA synthesis (in-lysate cDNA synthesis) with Smart-3SEQ and examine the effects of calmidazolium and fludrocortisone-induced perturbation of primary human dermal fibroblasts. We compared this method to normalized purified RNA inputs from matching samples followed by Smart-3SEQ or Illumina TruSeq library prep. Our results show the minimal effect of RNA loading normalization on data quality, measurement of gene expression patterns, and generation of differentially expressed gene lists. We found that in-lysate cDNA synthesis combined with Smart-3SEQ RNA-seq library prep generated high-quality data with similar ranked DEG lists when compared to library prep with extracted RNA or with Illumina TruSeq. Our data show that small molecule screens or experiments based on many perturbations quantified with RNA-seq are feasible at low reagent and time costs.

Optimization of western blotting for the detection of proteins of different molecular weight.

Protein samples electroblotted onto nitrocellulose membranes and quenched with a mixture of blocking agents produced a strong signal for cystic fibrosis transmembrane-conductance regulator (CFTR), a high-molecular-weight protein, in western blotting. Optimized conditions for CFTR were then extended to medium- and low-molecular-weight proteins (LAMP1 and Rab11a, respectively) to determine the effects of methanol concentration (0-20%) in Towbin's transfer buffer (TTB). Methanol in TTB appears to have little to no effect on CFTR signal. However, for medium-sized (LAMP1) and small (Rab11a) proteins, a lower concentration of methanol (10%) was sufficient to produce a maximal signal. Therefore, methanol, a toxic solvent, can be removed from or reduced in TTB without compromising signal strength. Here, we show modifications that may be useful in detecting and/or improving the signal of low-abundance proteins.