Discovering cellular programs of intrinsic and extrinsic drivers of metabolic traits using LipocyteProfiler

التفاصيل البيبلوغرافية
العنوان: Discovering cellular programs of intrinsic and extrinsic drivers of metabolic traits using LipocyteProfiler
المؤلفون: Garrett Garborcauskas, Alycen Harney, Hesam Dashti, Anne E. Carpenter, Miriam S. Udler, Elizabeth McGonagle, Aaron Leong, Hannah Ebert, Josée Dupuis, Maria Kost-Alimova, Cecilia M. Lindgren, Sierra Harken, Giacomo Deodato, Hans Hauner, Beth A. Cimini, Suzanne B.R. Jacobs, Josep M. Mercader, Saskia Reibe-Pal, Jose C. Florez, Adam Stefek, Samantha Laber, David R. Stirling, Gregory P. Way, Nasa Sinnott-Armstrong, Katherine Figueroa, Julius Honecker, Alham Saadat, Alina Ainbinder, Virtudes Calabuig, Melina Claussnitzer, Yixin Zhang, Sophie Strobel
بيانات النشر: Cold Spring Harbor Laboratory, 2021.
سنة النشر: 2021
مصطلحات موضوعية: Cell type, Context (language use), Genomics, Identification (biology), Computational biology, Metabolic disease, Biology, Gene, Phenotype, Function (biology)
الوصف: SummaryA primary obstacle in translating genetics and genomics data into therapeutic strategies is elucidating the cellular programs affected by genetic variants and genes associated with human diseases. Broadly applicable high-throughput, unbiased assays offer a path to rapidly characterize gene and variant function and thus illuminate disease mechanisms. Here, we report LipocyteProfiler, an unbiased high-throughput, high-content microscopy assay that is amenable to large-scale morphological and cellular profiling of lipid-accumulating cell types. We apply LipocyteProfiler to adipocytes and hepatocytes and demonstrate its ability to survey diverse cellular mechanisms by generating rich context-, and process-specific morphological and cellular profiles. We then use LipocyteProfiler to identify known and novel cellular programs altered by polygenic risk of metabolic disease, including insulin resistance, waist-to-hip ratio and the polygenic contribution to lipodystrophy. LipocyteProfiler paves the way for large-scale forward and reverse phenotypic profiling in lipid-storing cells, and provides a framework for the unbiased identification of causal relationships between genetic variants and cellular programs relevant to human disease.
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::16e99c4f7b03bd908d4d964e2603077bTest
https://doi.org/10.1101/2021.07.17.452050Test
حقوق: OPEN
رقم الانضمام: edsair.doi...........16e99c4f7b03bd908d4d964e2603077b
قاعدة البيانات: OpenAIRE