IVY LEUNG¹, MARIA-LUISA VEISAGA², MARGARITA ESPINAL¹, WEI ZHANG¹, ROBERT BARNUM¹, MANUEL ALEJANDRO BARBIERI^1,2,3,4,*

BIOCELL, Vol.46, No.3, pp. 567-578, 2022, DOI:10.32604/biocell.2022.014009

Abstract The Annona genus is a member of Annonaceae, one of the largest families of plants across tropical and sub-tropical regions. This family has been used in several ethnomedicinal practices to treat a multitude of human diseases. However, the molecular mechanism underlying its effect on the lipid droplet formation and on the expression of adipogenic markers of this plant remain to be investigated. In this study, we examined whether the extracts from the aerial part of Annona montana affect in vitro differentiation of preadipocytes. For our investigations, both mouse embryo fibroblast 3T3-L1 and normal human primary subcutaneous preadipocytes were incubated with… More >

Diego Masone^1,2, Aldana D. Gojanovich¹, Yesica R. Frontini-Lopez¹, Samanta DEL Veliz¹, Marina Uhart¹, Diego M. Bustos^1,3*

BIOCELL, Vol.41, No.2-3, pp. 55-58, 2017, DOI:10.32604/biocell.2017.41.055

Abstract In this study, we propose an automatic procedure for digital image processing. We describe a method that can efficiently quantify and characterize lipid droplets distributions in different cell types in culture. Prospectively, the lipid droplets detection method described in this work could be applied to static or time-lapse data, collected with a simple visible light or fluorescence microscopy equipment. Fully automated algorithms were implemented in Octave, a freely available scientific package. More >