Szymon M. Kiełbasa

This study shows that ageing reduces tissue-resident memory T cells in the upper airway, linked to impaired epithelial-immune crosstalk and reduced TGF-β signaling.

The paper identifies and characterizes distinct B cell subsets in the human thymus, revealing their development, differentiation, and class switching capabilities.

This study identifies proteomic and transcriptomic host biomarkers in blood and pleural fluid to differentiate pleural tuberculosis from other pleural diseases using low-invasive methods.

The paper identifies glucocorticoid receptor-mediated astrocyte reprogramming in depression using post-mortem samples and mouse models.

CaClust integrates exomic, scRNA-seq, and BCR data to infer clone genotypes and cell-to-clone mappings in follicular lymphoma, revealing genotype-phenotype links.

The paper develops interpretable neural networks for multi-omics data to predict smoking status, age, and LDL levels, showing improved performance and generalizability across cohorts.

The paper identifies 818 genes influencing DNA methylation in blood using genetic anchors and causal inference, revealing both transcription factors and non-DNA-binding proteins with regulatory roles.

This paper introduces TWMR, a Mendelian Randomization method that identifies gene-trait associations by integrating GWAS and eQTL data, revealing 3,913 novel associations across 43 human phenotypes.

The paper uses RNA-Seq data from 296 family trios to identify genomic imprinting by analyzing allelic expression and parental haplotypes, finding 45 imprinted genes and one novel imprinted transcript.