Joan Camuñas-Soler

This study maps spatial and functional states of human pancreatic cells in health and disease using combined single-cell and spatial transcriptomics with calcium imaging.

The paper uses cfDNA/cfRNA sequencing to identify molecular correlates of bNAb development in HIV patients, finding an MHC class I activation signature and microbial changes associated with bNAb production.

The paper identifies 16 inflammatory proteins in maternal blood plasma associated with spontaneous preterm birth and shows that combining proteomic and cfRNA data improves prediction accuracy.

This study investigates islet cell dysfunction in type 1 diabetes by integrating electrophysiological, transcriptomic, and machine learning analyses of human islet cells from T1D donors.

The paper integrates single-cell multiomic data with genetics to identify gene regulatory changes in beta cells associated with type 2 diabetes.

The paper identifies combinatorial transcription factor expression in human islet cells and shows it correlates with functional maturity and electrophysiological activity.

This study links transcriptomic heterogeneity in pancreatic islet cells to their physiological function using a combined electrophysiological and single-cell RNA sequencing approach, identifying genes and pathways associated with diabetes-related dysfunction.

This study investigates pig pancreatic islet development, identifying similarities with human islet ontogeny and uncovering signaling pathways relevant to beta-cell maturation.

This paper develops a noninvasive prenatal diagnosis method using ddPCR to detect single-gene disorders from maternal plasma, successfully identifying affected pregnancies as early as week 11.