Publications by authors named "Yong-Qun Zhang"

Article Synopsis
  • Type 1 diabetes (T1D) is linked to poor islet mass and survival rates, prompting a study to identify genes and pathways that could enhance islet longevity during culture.
  • The researchers utilized bioinformatics by analyzing gene expression data from a specific microarray, examining differently methylated genes, and conducting gene ontology and pathway enrichment analyses.
  • Their findings highlighted several key genes (FN1, MKI67, IGF1, MAPK14, COL1A1) associated with important signaling pathways (TGF-beta, MAPK, VEGF) that may play a role in improving islet survival and culture conditions.
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Background: Molecularly targeted therapies improved survival status of some patients with lung adenocarcinoma, which accounts for 40% of all lung cancers, and in-depth study of gene alterations is important for the personalized treatment.

Methods: The legacy archive data of clinical information and genomic variations under the project TCGA Lung Adenocarcinoma were downloaded from the GDC Data Portal using R package TCGAbiolinks. The significantly aberrant copy number variants segments were figured out using GAIA.

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