Robin Fallegger
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View article: Cellular and Spatial Drivers of Unresolved Injury and Functional Decline in the Human Kidney
Cellular and Spatial Drivers of Unresolved Injury and Functional Decline in the Human Kidney Open
Building upon a foundational Human Kidney resource, we present a comprehensive multi-modal atlas that defines spatially resolved versus unresolved repair states and mechanisms in human kidney disease. Homeostatic interactions between injur…
View article: A Human Glomerular Disease Atlas defines the APOL1-JAK-STAT feed forward loop in focal segmental glomerulosclerosis
A Human Glomerular Disease Atlas defines the APOL1-JAK-STAT feed forward loop in focal segmental glomerulosclerosis Open
To map transcriptional programs in rare glomerular diseases, single-nucleus RNA sequencing (snRNAseq) on kidney biopsies (N=120) from the Nephrotic Syndrome Study Network were integrated with snRNAseq and single-cell sequencing (scRNAseq) …
View article: Rare variants in infection response protein pathways associated with sepsis in children
Rare variants in infection response protein pathways associated with sepsis in children Open
1 Abstract Sepsis is a major contributor to mortality in paediatric patients. We investigated the human genetic underpinnings of sepsis by analysing a large paediatric cohort with blood-culture confirmed sepsis through multi-tiered genomic…
View article: Spatially resolved multiomics on the neuronal effects induced by spaceflight in mice
Spatially resolved multiomics on the neuronal effects induced by spaceflight in mice Open
Impairment of the central nervous system (CNS) poses a significant health risk for astronauts during long-duration space missions. In this study, we employed an innovative approach by integrating single-cell multiomics (transcriptomics and…
View article: Opening the Black Box: Spatial Transcriptomics and the Relevance of Artificial Intelligence–Detected Prognostic Regions in High-Grade Serous Carcinoma
Opening the Black Box: Spatial Transcriptomics and the Relevance of Artificial Intelligence–Detected Prognostic Regions in High-Grade Serous Carcinoma Open
Image-based deep learning models are used to extract new information from standard hematoxylin and eosin pathology slides; however, biological interpretation of the features detected by artificial intelligence (AI) remains a challenge. Hig…
View article: Metabolic Communication by SGLT2 Inhibition
Metabolic Communication by SGLT2 Inhibition Open
BACKGROUND: SGLT2 (sodium-glucose cotransporter 2) inhibitors (SGLT2i) can protect the kidneys and heart, but the underlying mechanism remains poorly understood. METHODS: To gain insights on primary effects of SGLT2i that are not confounde…
View article: Expanding the coverage of regulons from high-confidence prior knowledge for accurate estimation of transcription factor activities
Expanding the coverage of regulons from high-confidence prior knowledge for accurate estimation of transcription factor activities Open
Gene regulation plays a critical role in the cellular processes that underlie human health and disease. The regulatory relationship between transcription factors (TFs), key regulators of gene expression, and their target genes, the so call…
View article: Spatially resolved multiomics on the neuronal effects induced by spaceflight
Spatially resolved multiomics on the neuronal effects induced by spaceflight Open
Impairment of the central nervous system (CNS) functions in astronauts is a major health risk for long-duration space missions. Here, for the first time, we combine single-cell multiomics (transcriptomics and chromatin accessibility) and s…
View article: Expanding the coverage of regulons from high-confidence prior knowledge for accurate estimation of transcription factor activities
Expanding the coverage of regulons from high-confidence prior knowledge for accurate estimation of transcription factor activities Open
Gene regulation plays a critical role in the cellular processes that underlie human health and disease. The regulatory relationship between transcription factors (TFs), key regulators of gene expression, and their target genes, the so call…
View article: Dataset supporting the paper "Expanding the coverage of regulons from high-confidence prior knowledge for accurate estimation of transcription factor activities"
Dataset supporting the paper "Expanding the coverage of regulons from high-confidence prior knowledge for accurate estimation of transcription factor activities" Open
Datasets involved in the construction and benchmarking of the CollecTRI-derived regulons as presented in the paper "Expanding the coverage of regulons from high-confidence prior knowledge for accurate estimation of transcription factor act…
View article: Dataset supporting the paper "Expanding the coverage of regulons from high-confidence prior knowledge for accurate estimation of transcription factor activities"
Dataset supporting the paper "Expanding the coverage of regulons from high-confidence prior knowledge for accurate estimation of transcription factor activities" Open
Datasets involved in the construction and benchmarking of the CollecTRI-derived regulons as presented in the paper "Expanding the coverage of regulons from high-confidence prior knowledge for accurate estimation of transcription factor act…
View article: Dataset supporting the paper "Expanding the coverage of regulons from high-confidence prior knowledge for accurate estimation of transcription factor activities"
Dataset supporting the paper "Expanding the coverage of regulons from high-confidence prior knowledge for accurate estimation of transcription factor activities" Open
Datasets involved in the construction and benchmarking of the CollecTRI-derived regulons as presented in the paper "Expanding the coverage of regulons from high-confidence prior knowledge for accurate estimation of transcription factor act…