Elisabetta Mereu

This paper identifies bedaquiline as a synergistic agent that enhances proteasome inhibitor efficacy and overcomes resistance in multiple myeloma and related B-cell malignancies.

This study identifies BC-markers in TNBC, links them to poor prognosis and dasatinib sensitivity, suggesting TAGLN as a predictive biomarker for targeted therapy.

This study shows that inhibiting nonsense-mediated mRNA decay enhances tumour immunogenicity, drives immunoediting, and improves checkpoint blockade efficacy in preclinical models.

The paper constructs a single-cell multiomics atlas of the human pancreas across development, health, and T2D, identifying plastic cell states and lineage trajectories.

This study develops patient-derived liver biopsy organoids to model alcohol-associated liver disease and identifies disease-specific features and therapeutic responses.

This paper benchmarks multimodal single-cell data integration methods to improve kidney reference atlas quality by identifying adaptive states and rare cell types.

This study presents a multi-omics analysis of a supercentenarian, revealing that extreme age and poor health are distinct molecular processes.

The paper constructs a human microglia transcriptomic atlas, identifying 11 subpopulations across neurodegenerative conditions and revealing changes in homeostatic and disease-associated microglia subsets.

This study integrates single-cell multi-omics data from CAR-T cells to identify factors influencing immunotherapy response in B-cell neoplasias.

SPOTlight integrates spatial transcriptomics with single-cell RNA-seq to deconvolute cell types and states in tissues, showing accurate predictions in mouse brain and human pancreatic cancer.

This study benchmarks 13 scRNA-seq protocols to evaluate their effectiveness in characterizing cell types and states for cell atlas projects.

The paper benchmarks bulk functional genomics tools on scRNA-seq data, showing comparable performance to bulk data and suggesting their applicability over dedicated single-cell tools.

bigSCale is a scalable framework for analyzing large single-cell RNA sequencing datasets, showing improved speed and accuracy in differential expression analysis and identifying rare cell populations.

matchSCore matches cell populations across tools, experiments, and technologies by comparing clustering and marker gene identification accuracy in simulated data and applying it to mouse and human cell atlas projects.

The paper demonstrates that a sample preservation method maintains single cell transcriptomes, allowing for transcriptomic analysis of cryopreserved cells without altering transcriptional profiles.