Publications by authors named "Hui-Shan Chiang"
Cell subpopulations in the blood and joint fluid of patients with gout are poorly understood. Single-cell RNA sequencing and bioinformatic tools were used to identify cell subsets and their gene signatures in blood and synovial fluid (SF) cells, determine their relationships, characterize the diversity, and evaluate interactions among specific cell types. We identified 34 subpopulations (5 types of B cells, 16 types of T and natural killer cells, 9 types of monocytes, and 4 other cell types) in the blood of five healthy subjects and seven patients with acute gouty, and the SF of three patients with acute gout.
View Article and Find Full Text PDFHepatocellular carcinoma (HCC) is one of the most common lethal cancers worldwide and is often related to late diagnosis and poor survival outcome. More evidence is demonstrating that gene-based prognostic models can be used to predict high-risk HCC patients. Therefore, our study aimed to construct a novel prognostic model for predicting the prognosis of HCC patients.
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- A study analyzed The Cancer Genome Atlas data to investigate alternative splicing (AS) events as potential prognostic biomarkers for lung adenocarcinoma (LUAD), revealing 1957 OS-related AS events linked to overall survival.
- The research utilized RNA sequencing and bioinformatics tools, including SUPPA2 and Cytoscape, to identify significant AS events, with alternative first exon splicing being the most common occurrence.
- Findings indicated that specific splicing factors (SFs) correlate positively with patient survival rates, allowing the stratification of LUAD patients into high- and low-risk groups based on AS events, enhancing understanding of cancer prognosis.