Stefania Giacomello

This study maps cell-type specific transcriptional changes in the parkinsonian striatum across species, identifying vulnerable and resilient cell types.

ProbeST designs custom probe sets for spatial transcriptomics, validated on mouse enteroids infected with Salmonella, enabling detection of host and pathogen transcripts.

The paper optimizes MASC-seq for single-cell transcriptomics and imaging of microbial eukaryotic plankton, showing promise but limitations in resolving small cells.

This paper presents a method to simultaneously detect host and SARS-CoV-2 transcriptomes in lung tissue and identifies pathway shifts in infected cells.

The paper demonstrates miniature spatial transcriptomics to study gene expression patterns in filarial worms and their Wolbachia endosymbionts, revealing spatial gene localization and interactions.

The paper characterizes human prenatal cardiomyocytes using single-cell RNA sequencing and spatial transcriptomics, identifying eight distinct types with location-dependent properties and ligand-receptor interactions.

The paper introduces SmT, a spatial metatranscriptomics method to study host-microbe interactions in Arabidopsis thaliana, revealing microbial hotspots and spatial networks.

This paper describes an automated method for preparing spatially resolved transcriptomics libraries, reducing manual effort and increasing throughput.

The paper identifies and characterizes prototypical pacemaker neurons in Hydra that express immune-related genes and interact with the microbial environment.

The paper uses single-cell transcriptomics to show that embryonic Pdgfra+ cells give rise to OPCs with convergent transcriptional profiles in different CNS regions.