Chiara Caprioli

MiTo: tracing the phenotypic evolution of somatic cell lineages via mitochondrial single-cell multi-omics

MiTo is a framework for analyzing mitochondrial single-cell lineage tracing data, outperforming existing methods in pre-processing and clonal inference, and providing insights into cell lineage and gene regulatory network heritability.

Longitudinal tumor ecosystem mapping defines glioblastoma treatment trajectories

This study maps glioblastoma tumor ecosystems over time using spatial single-cell profiling to identify prognostic subgroups and treatment responses.

GASOLINE: detecting germline and somatic structural variants from long-reads data.

GASOLINE detects germline and somatic structural variants from long-read sequencing data with high accuracy, outperforming existing methods in synthetic and real datasets.

High-resolution Nanopore methylome-maps reveal random hyper-methylation at CpG-poor regions as driver of chemoresistance in leukemias.

The paper uses nanopore sequencing to map DNA methylation in AMLs, revealing hypermethylation at CpG-poor regions drives chemoresistance through transcription factor networks.