Lorenzo Bonaguro

ConvexGating infers gating strategies from clusters in single cell cytometry data

ConvexGating automatically learns unbiased, interpretable gating strategies for flow cytometry data, improving consistency and reducing contamination in cell population identification.

A high-throughput cost-efficient in vitro platform for the screening of immune senomodulators

The paper develops an in vitro platform to screen immune senomodulators using human-derived immune cells, enabling personalized anti-aging treatments through multi-scale molecular analysis.

Downregulation of Satb1 is required to prevent autoimmunity by maintaining Tfh homeostasis

This study shows that Satb1 downregulation prevents autoimmunity by maintaining Tfh cell homeostasis and preventing excessive GC formation and auto-antibody secretion.

Molecular architecture of human dermal sleeping nociceptors

The paper identifies OSMR and SST as molecular markers for human dermal sleeping nociceptors, providing new therapeutic targets for neuropathic pain.

Kupffer cells control neonatal hepatic metabolism via Igf1 signaling

This study shows that yolk sac-derived Kupffer cells regulate neonatal hepatocyte metabolism via Igf1 signaling, essential for glycogen storage and TCA cycle function.

Molecular determinants of brain-resident CD8+ T cell formation and function

This study identifies molecular factors shaping brain-resident CD8+ T cell formation and function in health and disease.

Disease-associated microglia and activation of CD8+ T cells precede neuronal cell loss in a model of hereditary spastic paraplegia

Unveiling the Power of High-Dimensional Cytometry Data with cyCONDOR

The paper introduces cyCONDOR, a computational framework for high-dimensional cytometry data analysis, offering scalable and user-friendly tools for preprocessing, clustering, and downstream biological interpretation.

Characterizing human CMV-specific CD8+ T cells using multi-layer single-cell omics

The paper characterizes human CMV-specific CD8+ T cells using a five-layer multi-omics approach and identifies novel T cell receptor sequences for CMV epitopes.

Decoding mechanism of action and susceptibility to drug candidates from integrated transcriptome and chromatin state

This paper integrates transcriptome and chromatin state data to develop a scalable pipeline for drug discovery, predicting cancer cell line sensitivity and guiding compound development.

Creld2 function during unfolded protein response is essential for liver metabolism homeostasis

This study shows that Creld2 is essential for maintaining liver metabolism homeostasis by linking the unfolded protein response (UPR) to metabolic regulation, with sex-specific effects in fatty liver disease.

Swarm Learning as a privacy-preserving machine learning approach for disease classification

This paper introduces Swarm Learning, a decentralized machine learning approach for disease classification using transcriptomic data, demonstrating its effectiveness in developing classifiers for COVID-19, tuberculosis, and leukemias while preserving privacy.

Induction of peri-implantation stage synthetic embryos using reprogramming paradigms in ESCs

The paper generates synthetic embryo-like structures from ESCs through transcription factor-mediated reprogramming, showing implantation and decidual tissue formation.

Alterations of multiple alveolar macrophage states in chronic obstructive pulmonary disease

This study uses single-cell RNA-seq and computational methods to analyze macrophage states in COPD patients, revealing transcriptional changes and metabolic shifts associated with the disease.