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Biology subjects

Kong, R. C. K.

Publications and source records attributed to Kong, R. C. K..

2 recordsLinked to original sources

Transcriptomic analysis of TGFβ-mediated fibrosis in primary human Tenon's fibroblasts

Glaucoma filtration surgery (GFS) is performed to slow down disease progression in glaucoma, a leading cause of irreversible blindness worldwide. Following surgery, pathological wound healing may lead to conjunctival fibrosis and filtering failure. Myofibroblasts are the key cells responsible for postoperative conjunctival scarring. This study aims to further understand the molecular mechanisms of conjunctival fibrosis following GFS. We utilised RNA-sequencing (RNA-seq) to delineate the TGF{beta}1 induced changes in the transcriptome of human Tenons fibroblasts (HTFs). RNA sequencing was performed on HTFs after 5 days of TGF{beta}1 treatment. Following quality control, 3,362 differentially expressed genes were identified, of which 1,532 were upregulated and 1,820 were downregulated. We identified signaling pathways associated with the pathogenesis of conjunctival fibrosis. The DEGs (differentially expressed genes) were enriched in pathways including myofibroblast differentiation, TGF{beta}-signaling, collagen and extracellular matrix organization, epithelial to mesenchymal transition, and cell cycle regulation. The results of this study identified the transition from HTF to myofibroblast is characterised by the upregulation of key genes including LDLRAD4, CDKN2B, FZD8, MYOZ1, and the downregulation of SOD3, LTBP4 and RCAN2. This unprecedented insight into the transcriptional landscape of HTFs and myofibroblast differentiation is essential to understand the pathophysiology of conjunctival scarring and develop new therapeutic agents.

bioinformatics↗

Spatial transcriptomic profiling of human retinoblastoma

Retinoblastoma (RB) represents one of the most prevalent intraocular cancers in children. Understanding the tumor heterogeneity in RB is important to design better targeted therapies. Here we used spatial transcriptomic to profile human retina and RB tumor to comprehensively dissect the spatial cell-cell communication networks. We found high intratumoral heterogeneity in RB, consisting of 10 transcriptionally distinct subpopulations with varying levels of proliferation capacity. Our results uncovered a complex architecture of the tumor microenvironment that predominantly consisted of cone precursors, as well as glial cells and cancer-associated fibroblasts. We delineated the cell trajectory underlying malignant progression of RB, and identified key signaling pathways driving genetic regulation across RB progression. We also explored the signaling pathways mediating cell-cell communications in RB subpopulations, and mapped the spatial networks of RB subpopulations and region neighbors. Altogether, we constructed the first spatial gene atlas for RB, which allowed us to characterize the transcriptomic landscape in spatially-resolved RB subpopulations, providing novel insights into the complex spatial communications involved in RB progression.

systems biology↗