Biology subjects

Khan, S. T.

Publications and source records attributed to Khan, S. T..

4 recordsLinked to original sources

bioRxiv2023

Uncovering the transcriptomic heterogeneity of pancreatic endothelial cells using integrative and comparative single cell gene expression analysis

The pancreatic islet vasculature displays tissue-specific physiological and functional adaptations that support rapid glucose sensing and insulin response by {beta}-cells. To uncover the transcriptomic basis of this specialization, we performed a meta-analysis of multi-organ single cell RNA sequencing atlases employing a unique strategy to avoid transcriptomic contamination. We identified biologically relevant genes involved in sphingosine-1-phosphate-mediated insulin-secretion (PLPP1, RDX, CDC42EP1), islet basement membrane formation (SPARC, COL15A1), endothelial cell (EC) permeability (PLVAP, EHD4), membrane transporters (CD320, SLCO2A1) and developmental transcription factors (NKX2-3, AHR). These were validated in silico in independent datasets. We further established the first integrated transcriptomic atlas of human pancreatic ECs and described two unique capillary subpopulations: exocrine and endocrine pancreas ECs. We validated the spatial localization of key markers using RNAscope and immunofluorescence staining on mouse pancreatic tissue cross-sections. Our findings provide novel insights into pancreatic EC heterogeneity and islet EC function with potential implications in therapeutic strategies.

cell biology↗

bioRxiv2022

Computational remodeling of an enzyme conformational landscape for altered substrate selectivity

Structural plasticity of enzymes dictates their function. Yet, our ability to rationally remodel enzyme conformational landscapes to tailor catalytic properties remains limited. Here, we report a computational procedure for tuning conformational landscapes that is based on multistate design. Using this method, we redesigned the conformational landscape of a natural aminotransferase to preferentially stabilize a less populated but reactive conformation, and thereby increase catalytic efficiency with a non-native substrate to alter substrate selectivity. Steady-state kinetics of designed variants revealed selectivity switches of up to 1900-fold, and structural analyses by room-temperature X-ray crystallography and multitemperature nuclear magnetic resonance spectroscopy confirmed that conformational equilibria favoured the target conformation. Our computational approach opens the door to the fine-tuning of enzyme conformational landscapes to create designer biocatalysts with tailored functionality.

biophysics↗

bioRxiv2022

A three-dimensional human adipocyte model of fatty acid-induced obesity

Obesity prevalence has reached pandemic proportions, leaving individuals at high risk for the development of diseases such as cancer and type 2 diabetes. In obesity, to accommodate excess lipid storage, adipocytes become hypertrophic, which is associated with an increased pro-inflammatory cytokine secretion and dysfunction of metabolic processes such as insulin signaling and lipolysis. Targeting adipocyte dysfunction is an important strategy to prevent the development of obesity-associated disease. However, it is unclear how accurately animal models reflect human biology, and the long-term culture of human hypertrophic adipocytes in an in vitro 2D monolayer is challenging due to the buoyant nature of adipocytes. Here we describe the development of a human 3D in vitro disease model that recapitulates hallmarks of obese adipocyte dysfunction. First, human primary adipose-derived stromal cells are embedded in hydrogel, and infiltrated into a thin cellulose scaffold. The thin microtissue profile allows for efficient assembly and image-based analysis. After adipocyte differentiation, the scaffold is stimulated with oleic or palmitic acid to mimic caloric overload. Using functional assays, we demonstrated that this treatment induced important obese adipocyte characteristics such as a larger lipid droplet size, increased basal lipolysis, insulin resistance and activation of macrophages through adipocyte-conditioned media. This 3D disease model mimics physiologically relevant hallmarks of obese adipocytes, to enable investigations into the mechanisms by which dysfunctional adipocytes contribute to disease.

bioengineering↗

bioRxiv2020

Genetically-encoded fluorescent biosensor for rapid detection of protein expression

Fluorescent proteins are widely used as fusion tags to detect protein expression in vivo. To become fluorescent, these proteins must undergo chromophore maturation, a slow process with a half-time of 5 to >30 min that causes delays in real-time detection of protein expression. Here, we engineer a genetically-encoded fluorescent biosensor to enable detection of protein expression within seconds in live cells. This sensor for transiently-expressed proteins (STEP) is based on a fully matured but dim green fluorescent protein in which pre-existing fluorescence increases 11-fold in vivo following the specific and rapid binding of a protein tag (Kd 120 nM, kon 1.7 x 105 M-1s-1). In live E. coli cells, our STEP biosensor enables detection of protein expression twice as fast as the use of standard fluorescent protein fusions. Our biosensor opens the door to the real-time study of short-timescale processes in research model animals with high spatiotemporal resolution.

synthetic biology↗