Biology subjects

Hassan, M. N.

Publications and source records attributed to Hassan, M. N..

3 recordsLinked to original sources

bioRxiv2025

Single cell-resolved transcriptional dynamics of human subcutaneous adipose tissue during lifestyle- and bariatric surgery-induced weight loss

During sustained weight gain, human white adipose tissue undergoes dramatic remodeling that may compromise adipose tissue function and lead to obesity comorbidities such as cardiometabolic disease. These comorbidities can be at least partially reversed by weight loss; however, the degree to which human adipose tissue is remodeled during weight loss is currently unclear. Here, we have used snRNA-seq combined with bulk RNA-seq and 3D light microscopy to investigate the cellular and transcriptional alterations in abdominal subcutaneous adipose tissue (ASAT) from a unique cohort of obese individuals undergoing initially modest (8-10%) lifestyle-induced weight loss followed by a more dramatic (20-45%) bariatric surgery-induced weight loss. We show that in response to this weight loss, ASAT in both males and females underwent dramatic compositional and transcriptional remodeling. Most notably, surgery-indued weight loss led to an increase in the adipose vascular compartment, a dramatic reduction in proinflammatory immune cells, and a tissue-wide reduction in inflammatory gene signatures. In response to modest weight loss, we observed an increase in specific progenitor populations and an induction of proadipogenic genes, indicating that this process is important for the early adaptation of AT to weight loss that might contribute to the early overall beneficial effects on insulin sensitivity and systemic inflammation.

cell biology↗

bioRxiv2024

Defining the Vascular Niche of Human Adipose Tissue Across Metabolic Conditions

IntroductionAdipose tissue homeostasis depends on a healthy vascular network. Vascular malfunction is a hallmark of obesity1, and vascular endothelial dysfunction, in particular, accelerates metabolic diseases, including obesity and diabetes. Single-cell transcriptomics studies have mapped the cellular landscape of human white adipose tissue (WAT)2-8. However, the vascular niche remains relatively undefined9, especially regarding its heterogeneity, function, and role in metabolic disease. To address this gap, we created a single-cell transcriptome atlas of human subcutaneous adipose tissue (SAT), comprising nearly 70,000 vascular cells from 65 individuals. We characterized seven canonical adipose tissue endothelial cell (AdEC) subtypes and identified a distinct heterogenous population, here referred to as sub-AdECs. Sub-AdECs exhibit gene signatures characteristic of multiple cell types, including mesenchymal, adipocytic, and immune, suggesting they possess diverse properties and identities. Through computational analyses and whole-mount imaging, we validated the occurrence of sub-AdECs and show that these cells likely arise through endothelial-mesenchymal transition (EndMT), the modulation of which limits obesity-associated adipose tissue inflammation and fibrosis. Furthermore, we compared the transcriptomes of vascular cells from individuals living with or without obesity and type 2 diabetes and find metabolic disease-associated inflammatory and fibrotic transcriptomic patterns. The atlas and accompanying analyses establish a solid foundation for investigations into the biology of the adipose tissue vascular niche and its contribution to the pathogenesis of metabolic disease.

cell biology↗

bioRxiv2022

Methanol fixation is the method of choice for droplet-based single-cell transcriptomics of neural cells

Single-cell transcriptomics methods have become very popular to study the cellular composition of organs and tissues and characterize the expression profiles of the individual cells that compose them. The main critical step in single-cell transcriptomics is sample preparation. Several methods have been developed to preserve cells after sample dissociation to uncouple sample handling from library preparation. Yet, the suitability of these methods depends on the types of cells to be processed. In this project, we perform a systematic comparison of preservation methods for droplet-based single-cell RNA-seq (scRNA-seq) on neural and glial cells derived from induced pluripotent stem cells (iPSCs) and highlight their strengths and weaknesses. We compared the cellular composition and expression profile of single-cell suspensions from fresh NPCs with that of NPCs preserved with Dimethyl Sulfoxide (DMSO), Methanol, vivoPHIX and Acetil-methanol (ACME). Our results show that while DMSO provides the highest cell quality in terms of RNA molecules and genes detected per cell, it strongly affects the cellular composition and the expression profile of the resulting datasets. In contrast, methanol fixed samples display a cellular composition like that of fresh samples while providing a good cell quality and smaller expression biases. Taken together, our results show that methanol fixation is the method of choice for performing droplet-based single-cell transcriptomics experiments on neural cell populations.

genomics↗