Spatial transcriptomics landscape of lesions from non-communicable inflammatory skin diseases.

Abundant heterogeneous immune cells infiltrate lesions in chronic inflammatory diseases and characterization of these cells is needed to distinguish disease-promoting from bystander immune cells. Here, we investigate the landscape of non-communicable inflammatory skin diseases (ncISD) by spatial transcriptomics resulting in a large repository of 62,000 spatially defined human cutaneous transcriptomes from 31 patients. Despite the expected immune cell infiltration, we observe rather low numbers of pathogenic disease promoting cytokine transcripts (IFNG, IL13 and IL17A), i.e. >125 times less compared to the mean expression of all other genes over lesional skin sections. Nevertheless, cytokine expression is limited to lesional skin and presented in a disease-specific pattern. Leveraging a density-based spatial clustering method, we identify specific responder gene signatures in direct proximity of cytokines, and confirm that detected cytokine transcripts initiate amplification cascades of up to thousands of specific responder transcripts forming localized epidermal clusters. Thus, within the abundant and heterogeneous infiltrates of ncISD, only a low number of cytokine transcripts and their translated proteins promote disease by initiating an inflammatory amplification cascade in their local microenvironment.

Overproduction of human interleukin-2 in recombinant Escherichia coli BL21 high-cell-density culture by the determination and optimization of essential amino acids using a simple stoichiometric model.

In order to increase the productivity of human IL-2 (interleukin-2), a stoichiometric model has been used to determine the most essential amino acids and precise values of their amounts to be added to the culture during expression of human IL-2 (as a model protein) by recombinant Escherichia coli BL21 (pET21a-hil2). Experiments were performed to investigate the effect of chosen amino acids and their interactions on expression of human IL-2. Glutamine, a mixture of leucine, aspartic acid and glycine, and a mixture of leucine, glutamine and aspartic acid, were the most effective for the expression of IL-2. The most promising amino acids were then chosen for further experiments at three different levels to determine whether altering their stoichiometry can lead to better expression levels. The optimized value of glutamine in the flask was 0.316 g/l; a mixture of leucine, glutamine and aspartic acid at concentrations of 0.124, 0.316 and 0.212 g/l respectively and of leucine, aspartic acid and glycine in concentrations of 0.124, 0.212, 0.111 g/l respectively were chosen to be added to the flask. The effect of glutamine, as one of the amino acids most influencing the expression of IL-2 in batch and fed-batch high-cell-density cultures, was studied. The results revealed that the amount of expressed IL-2 compared with the control culture increased from 81 to 195 mg/l in the shake flask, 403 to 594 mg/l in the fermentor and 5.15 to 10.01 g/l in the fermentor under fed-batch cultivation.