Sascha Jung

Data-driven inference of Boolean networks from transcriptomes to predict cellular differentiation and reprogramming

The paper introduces BoNesis, a tool for inferring Boolean networks from transcriptome data to model cellular differentiation and reprogramming, demonstrating its application in hematopoiesis and adipocyte/osteoblast differentiation.

Defined human tri-lineage brain microtissues

The paper develops human tri-lineage brain microtissues composed of neurons, astrocytes, and microglia, showing they recapitulate cell-cell interactions and pathological processes.

Transcriptomic reprogramming screen identifies SRSF1 as rejuvenation factor

This study identifies SRSF1 as a rejuvenation factor through transcriptomic reprogramming, showing it improves cellular function and is linked to longevity.

RNetDys: identification of disease-related impaired regulatory interactions due to SNPs

RNetDys identifies disease-related impaired regulatory interactions due to SNPs by analyzing multi-OMICS data and cell-type specific GRNs.