Francesco Vallania

The paper presents a longitudinal transcriptomic atlas of maternal peripheral blood during healthy pregnancy, identifying 720 pregnancy-specific genes and nine transcriptional modules associated with immune and metabolic changes.

A data-driven precision medicine approach identifies sirolimus, pioglitazone, and fulvestrant as novel therapies for hidradenitis suppurativa by targeting disease gene signatures in immune cells.

The paper integrates transcriptomic data from 10 autoimmune diseases to identify core immune mechanisms and disease-specific signatures, revealing shared and distinct immunopathological patterns through 15 immune modules.

This study identifies age-related lipidomic changes in neural stem cells using mass spectrometry and shows that lipid modifications affect NSC function and activation.

The paper identifies gene signatures for human monocyte subsets using public transcriptomes, showing they accurately reflect subset levels in disease states and can be used for cytometry-based sorting.

The paper evaluates how changes in Gene Ontology (GO) and its annotations over time affect the results of GO enrichment analyses in disease studies.

The paper integrates transcriptome and clinical data to identify overlooked disease relationships, such as between myositis and interstitial cystitis.

This paper introduces immunoStates, a basis matrix that reduces biological and technical biases in cell-mixture deconvolution by incorporating diverse disease states and microarray platforms.