Matt Mulè Profile picture
Exploring human immune system variation. PhD from Cambridge and NIH via @NIHOxCam program. Finishing medical school at UNC.
Mar 26, 2023 17 tweets 9 min read
New @medrxivpreprint from work over 5 years with @tsanglab!
Our framework for integrating human population & single cell variations identified a "naturally adjuvanted" baseline immune system setpoint linked to more robust & immunogenic vaccine responses.
medrxiv.org/content/10.110… We used mixed effects models to decompose variation in every gene attributable to cell type (defined by surface protein), individual, age, sex, and vaccination effects. Individual differences often explain substantial variation, highlighting the need for hierarchical models.
Mar 6, 2021 12 tweets 5 min read
CITE-seq protein data can have substantial added noise. Update to our preprint on protein noise deconvolution: biorxiv.org/content/10.110…
#Rstats method for normalization/denoising 'dsb' now on CRAN -> install.packages("dsb") Correlation of background drops with unstained spike-in cells suggests protein-specific noise is dominated by unbound antibody. We further explored this, estimating per-protein background with 3 methods, finding similar correlation.