Publications by authors named "Saskia Reibe-Pal"
A primary obstacle in translating genetic associations with disease into therapeutic strategies is elucidating the cellular programs affected by genetic risk variants and effector genes. Here, we introduce LipocyteProfiler, a cardiometabolic-disease-oriented high-content image-based profiling tool that enables evaluation of thousands of morphological and cellular profiles that can be systematically linked to genes and genetic variants relevant to cardiometabolic disease. We show that LipocyteProfiler allows surveillance of diverse cellular programs by generating rich context- and process-specific cellular profiles across hepatocyte and adipocyte cell-state transitions.
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- Researchers have studied islet-associated macrophages (IAMs) as models for understanding how resident macrophages function under normal conditions, rather than the extreme inflammatory (M1) or tissue-repairing (M2) states.
- IAMs are shown to regulate insulin secretion by balancing between aerobic glycolysis and oxidative phosphorylation, partly due to changes in their genetic expression influenced by the enzyme Kdm5a.
- After eating a high-fat diet, IAMs increase their clearance of dead cells, which negatively affects insulin secretion and may lead to β-cell dysfunction in pre-diabetes; thus, targeting IAMs could help maintain insulin-producing cell health during metabolic disorders.
Mouse Model of Mutated in Colorectal Cancer Gene Deletion Reveals Novel Pathways in Inflammation and Cancer.
Cell Mol Gastroenterol Hepatol
January 2020
Background & Aims: The early events by which inflammation promotes cancer are still not fully defined. The MCC gene is silenced by promoter methylation in colitis-associated and sporadic colon tumors, but its functional significance in precancerous lesions or polyps is not known. Here, we aimed to determine the impact of Mcc deletion on the cellular pathways and carcinogenesis associated with inflammation in the mouse proximal colon.
View Article and Find Full Text PDFWe compared the results of calculating a minimum post-mortem interval (PMImin) in a mock crime case using two different methods: accumulated degree hours (ADH method) and a newly developed computational model called ExLAC. For the ADH method we further applied five reference datasets for the development time of Calliphora vicina (Diptera: Calliphoridae) from 5 different countries and our results confirmed the following: (1) Reference data for blowfly development that has not been sampled using a local blowfly colony should not, in most circumstances, be used in estimating a PMI in real cases; and (2) The new method ExLAC might be a potential alternative to the ADH method.
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