Ivan Merelli

PRISM simultaneously decontaminates ambient RNA and corrects doublets in spatial transcriptomics data, achieving high accuracy and purity in a mouse cerebellum dataset.

This paper benchmarks single-cell foundation models against baselines for annotation, perturbation and regulatory inference using diverse datasets.

This study uses a genetic anemia model to show that reduced thrombopoietin affects hematopoietic stem cells and the bone marrow niche through direct and indirect mechanisms.

This study uses human oligodendrocyte spheroids to model leukodystrophies and identifies disease-specific transcriptional changes and lineage-specific vulnerabilities.

This study identifies locus-specific transposable elements driving VEXAS syndrome pathophysiology by regulating myeloid commitment in UBA1-mutant hematopoietic stem cells.

This study optimizes an ex vivo expansion protocol for mobilized peripheral blood HSCs, enabling robust gene therapy applications with long-term engraftment.

The paper analyzes 8q24.3-encoded microRNAs in ovarian cancer using genomic and transcriptomic data to identify their expression patterns and clinical relevance.

The paper analyzes HSPC aging across the lifespan, finding age-related epigenetic dysregulation and impaired response to proliferative stress, using xenotransplantation models.

This study characterizes the transcriptional and epigenetic profiles of hiPSC-NSCs and evaluates their safety in vivo, showing they resemble fetal NSCs and are safe for transplantation.

The paper identifies CD32 as a marker for hemogenic endothelial cells in human embryos and shows its role in hematopoietic commitment.

The paper shows that SET levels influence enhancer usage during cell fate acquisition, leading to altered gene regulation and contributing to disease.

The paper describes an in vitro screening protocol to identify effective gRNAs for epigenetic silencing using engineered transcriptional repressors and evaluates their genome-wide specificity.

This study compares Bayesian heuristics for inferring breast cancer gene networks from experimental data.