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Profil bibliographique

Phil Kubitz

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

16Publications signalées
141Citations signalées
4Affiliations récentes

Les institutions déclarées

Les domaines associés

Epigenetics and DNA MethylationCancer-related gene regulationKruppel-like factors researchSingle-cell and spatial transcriptomicsAdipose Tissue and Metabolism

Les publications récentes

Accès ouvert 2026 preprint OpenAlex

Metabolic disease-relevant stimuli unmask context-dependent genetic regulation of cardiometabolic loci in human adipocytes

Yi Huang, Joaquín Pérez‐Schindler, Sanchari Datta, Yijia Christiana Liu et autres

Abstract Genome-wide association studies (GWAS) have identified thousands of loci associated with cardiometabolic disease, yet translating these associations into regulatory mechanisms, effector genes, and cellular programs remains a major challenge. A key limitation is that genetic effects are often highly context dependent, …

us, dk, de, fi (code pays fourni par la source)

0 citations bioRxiv (Cold Spring Harbor Laboratory)
Accès ouvert 2026 article OpenAlex

Blood DNA methylation of EIF5A and TGIF1 is associated with adipose tissue health and metabolic outcomes in obesity: a multi-cohort study

Sophie Ruf, Anne Hoffmann, Luise Müller, Kathrin Landgraf et autres

BACKGROUND: Blood-based DNA methylation has been linked to obesity and metabolic health, yet its relationship to adipose tissue function remains incompletely understood. This study aimed to investigate the epigenetic regulation of EIF5A (Eukaryotic translation initiation factor 5A-1) and TGIF1 (TGFB Induced Factor …

de, dk, gb, ch, us (code pays fourni par la source)

0 citations Clinical Epigenetics
Accès ouvert 2026 other OpenAlex

Blood DNA methylation of EIF5A and TGIF1 is associated with adipose tissue health and metabolic outcomes in obesity: a multi-cohort study

Sophie Ruf, Anne Hoffmann, Luise Müller, Kathrin Landgraf et autres

Abstract Background Blood-based DNA methylation has been linked to obesity and metabolic health, yet its relationship to adipose tissue function remains incompletely understood. This study aimed to investigate the epigenetic regulation of EIF5A (Eukaryotic translation initiation factor 5A-1) and TGIF1 (TGFB Induced …

de, dk, gb, ch, us (code pays fourni par la source)

0 citations Figshare
Accès ouvert 2026 other OpenAlex

Blood DNA methylation of EIF5A and TGIF1 is associated with adipose tissue health and metabolic outcomes in obesity: a multi-cohort study

Sophie Ruf, Anne Hoffmann, Luise Müller, Kathrin Landgraf et autres

Abstract Background Blood-based DNA methylation has been linked to obesity and metabolic health, yet its relationship to adipose tissue function remains incompletely understood. This study aimed to investigate the epigenetic regulation of EIF5A (Eukaryotic translation initiation factor 5A-1) and TGIF1 (TGFB Induced …

de, dk, gb, ch, us (code pays fourni par la source)

0 citations Figshare
2025 article OpenAlex

2126-LB: Mapping Functional Genetic Variants and Disease Heritability on Gene Regulatory Programs in Human Adipocyte Villages under Metabolic Disease–Relevant Stimuli

Yi Huang, Joaquín Pérez‐Schindler, NIVEDITA NAMBRATH, Mayank Murali et autres

Introduction and Objective: Genetic variation and its interaction with environmental cues are crucial in the etiology of metabolic diseases, which are strongly linked to adipocyte dysfunction and are highly cell state- and context-specific. Methods: Here, we leverage a population-scale biobank (CellGenBank) to …

0 citations Diabetes
Accès ouvert 2025 preprint OpenAlex

Scalable Deep Learning of Histology Images Reveals Genetic and Phenotypic Determinants of Adipocyte Hypertrophy

Emil Jørsboe, Phil Kubitz, Julius Honecker, Andrea Flaccus et autres

Abstract Background White adipose tissue dysfunction has emerged as a critical factor in cardiometabolic disease development, yet the cellular microstructure and genetic architecture of adipocyte morphology remain poorly explored. Methods We introduce Adipocyte U-Net 2.0, an advanced deep learning method for the …

dk, gb, us, de, it, il (code pays fourni par la source)

3 citations medRxiv

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