Thomas Sauter

OpenKinetics Predictor unifies thirteen enzyme kinetic predictors behind one interface and API; on E. coli iML1515, eight kcat predictors correlate pairwise at r 0.08 to 0.67.

This study shows K-Ras4B sustains ciliation during muscle cell differentiation by localizing to the primary cilium, affecting asymmetric cell divisions and differentiation outcomes.

This study identifies ZFHX4 as a key regulator of midbrain dopaminergic neuron differentiation by controlling cell cycle progression through the LIN28A-miR-9 axis.

The paper identifies Parkinson's disease-associated regulatory variants in human dopaminergic neurons and shows they modulate SCARB2 and BAG3 expression.

FASTERCC improves metabolic network analysis by accelerating flux consistency testing and reconstruction, reducing runtime by 20-fold for large networks.

The paper reconstructs metabolic networks across 58 human tissues and cell types using RNA-seq and epigenomic data, identifying core and cell-type-specific metabolic functions and their regulatory elements.

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.

This study examines DNA methylation changes in participants of a 1.6-year trauma processing and meditation program, finding 3227 CpGs and 253 genes differentially methylated, with implications for nervous and immune system functions.

This study identifies circadian clock subtypes in breast cancer and shows their impact on drug sensitivity.

This study shows DJ-1 affects metabolism and immune response differently in Parkinson's disease and glioblastoma cells, with antioxidant treatment rescuing PD-related phenotypes.

This study identifies optimal drug treatment times by analyzing circadian rhythms and drug responses in cancer cells using high-throughput deep phenotyping.

The paper shows that Park7 deletion causes sex-specific transcriptome changes in male mouse midbrain astrocytes via the NRF2-CYP1B1 axis, affecting oxidative stress and EMT processes.

The paper quantifies and integrates miRNA gene expression in single-cell studies, revealing age- and disease-related miRNA regulation in immune cells.

This paper integrates external biomass reactions into metabolic models to improve prediction accuracy for gene essentiality and growth.

The paper profiles chromatin accessibility in ventral midbrain single nuclei from two mouse strains, identifies cell types and transcription factors, and finds regulatory variation specific to cell types.

The paper identifies Pttg1 as a key regulator of gene expression variation in mouse ventral midbrain across aging, showing its role in transcriptome shifts and cell-type-specific changes.

The paper identifies Col4a6 as a genetic regulator of striatal dopamine levels and axonal branching in mice through QTL mapping and RNA-seq analysis.

The paper identifies AHR and GLIS1 as key regulators of mesenchymal multipotency using temporal epigenomic and transcriptomic data from mouse bone marrow stromal cells.