Noninvasive Continuous Monitoring of Adipocyte Differentiation: From Macro to Micro Scales.
Maayan LustigQingling FengYohan PayanAmit GefenDafna BenayahuPublished in: Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada (2019)
3T3-L1 cells serve as model systems for studying adipogenesis and research of adipose tissue-related diseases, e.g. obesity and diabetes. Here, we present two novel and complementary nondestructive methods for adipogenesis analysis of living cells which facilitate continuous monitoring of the same culture over extended periods of time, and are applied in parallel at the macro- and micro-scales. At the macro-scale, we developed visual differences mapping (VDM), a novel method which allows to determine level of adipogenesis (LOA)-a numerical index which quantitatively describes the extent of differentiation in the whole culture, and percentage area populated by adipocytes (PAPBA) across a whole culture, based on the apparent morphological differences between preadipocytes and adipocytes. At the micro-scale, we developed an improved version of our previously published image-processing algorithm, which now provides data regarding single-cell morphology and lipid contents. Both methods were applied here synergistically for measuring differentiation levels in cultures over multiple weeks. VDM revealed that the mean LOA value reached 1.11 ± 0.06 and the mean PAPBA value reached >60%. Micro-scale analysis revealed that during differentiation, the cells transformed from a fibroblast-like shape to a circular shape with a build-up of lipid droplets. We predict a vast potential for implementation of these methods in adipose-related pharmacological research, such as in metabolic-syndrome studies.
Keyphrases
- adipose tissue
- insulin resistance
- high fat diet induced
- metabolic syndrome
- single cell
- induced apoptosis
- living cells
- type diabetes
- cell cycle arrest
- high fat diet
- fluorescent probe
- healthcare
- primary care
- cardiovascular disease
- fatty acid
- skeletal muscle
- deep learning
- high resolution
- machine learning
- cell death
- signaling pathway
- magnetic resonance imaging
- high throughput
- glycemic control
- risk assessment
- mass spectrometry
- single molecule
- magnetic resonance
- endoplasmic reticulum stress
- quality improvement
- climate change
- computed tomography
- randomized controlled trial
- uric acid
- artificial intelligence
- weight loss
- drug induced
- psychometric properties