The aim of this project is to use new methods in systems biology and large public datasets to expand on previous research from our group. We have previously benefitted from the computational services at SNIC (Mazzurana et al, Cell Res. 2021 and Kokkinou et al, Sci. Imm. 2022) and now aim to continue our research on the regulation of innate lymphoid cells in human gut and lung immunity. Recently we have assessed the value of available systems biology tools and have found that methods like cellphoneDB and NicheNet can provide wide scale data on the local interactions of innate lymphoid cells in the large intestine and their regulatory implications. In addition, the Gut Cell Atlas is a rich public database produced by the Teichmann lab at the Sanger Institute that is large enough in scope to resolve the cellular signaling environment of the human gut. Currently we are using compute resources affiliated with Bianca to assess these methods (sens2017557). We would like to establish a small project on Rackham to be able to make external connections to databases using publicly available data that does not require the level of security of Bianca. Our storage requirement will be within the default 128gb as we will only have single-cell sequencing data which does not contain genetic information. We estimate that 2 x 1000 core hours/month will be required for processing of large count matrices in interactive sessions and for performing the analysis methods listed below. This project is expected to last at least one year to be able to iteratively improve our analyses, answer questions which arise along the way, and to finalize a publication within the PhD thesis of the main applicant.