A5102915964- RNA modifications and cancer
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Retinal Diseases and Treatments
- Autophagy in Disease and Therapy
- S100 Proteins and Annexins
- Cancer Cells and Metastasis
- Ferroptosis and cancer prognosis
- Oral Health Pathology and Treatment
- Retinoids in leukemia and cellular processes
- Corneal Surgery and Treatments
- Retinal Development and Disorders
- Effects of Radiation Exposure
- Cancer-related gene regulation
- Ion Transport and Channel Regulation
- Bioinformatics and Genomic Networks
- Cancer Immunotherapy and Biomarkers
- Extracellular vesicles in disease
- RNA Research and Splicing
- Pancreatic and Hepatic Oncology Research
- Gene expression and cancer classification
- Neonatal Respiratory Health Research
- Oral microbiology and periodontitis research
Southwest Medical University
2024
Stomatology Hospital
2024
China Medical University
2014-2022
Second Affiliated Hospital of Harbin Medical University
2017-2020
Harbin Medical University
2017-2020
Tongji University
2014
Fourth Affiliated Hospital of China Medical University
2014
To investigate whether microRNA (miR)-34a mediates oxaliplatin (OXA) resistance of colorectal cancer (CRC) cells by inhibiting macroautophagy via the transforming growth factor (TGF)-β/Smad4 pathway.miR-34a expression levels were detected in CRC tissues and cell lines quantitative real-time polymerase chain reaction. Computational search, functional luciferase assay western blotting used to demonstrate downstream target miR-34a cells. Cell viability was measured with Counting Kit-8....
Abstract Dysfunction in T-cell antitumor activity contributes to the tumorigenesis, progression, and poor outcome of clear cell renal carcinoma (ccRCC), with this dysfunction resulting from high expression programmed death-1 (PD-1) T cells. However, molecular mechanisms maintaining PD-1 cells have not been fully investigated ccRCC. Here, we describe a mechanism underlying regulation at mRNA level demonstrated its impact on dysfunction. Transcriptomic analysis identified correlation between...
Purpose: Epigenetic RNA modification regulates gene expression post-transcriptionally. The aim of this study was to construct a prognostic risk model for lung adenocarcinoma (LUAD) using long non-coding RNAs (lncRNAs) related m5C methylation. Method: lncRNAs regulated by methyltransferase were identified in TCGA-LUAD dataset Pearson correlation analysis (coefficient > 0.4), and clustered non-negative matrix decomposition. co-expressing modules WGCNA functionally annotated....
Radiation-induced lung toxicity (RILT), leading to radiation pneumonia or fibrosis, is a primary problem of therapy. The pathogenesis RILT remains unclear. In this study, we used rat model examine the expression aquaporins (AQPs) after injury. Sprague Dawley rats were given single dose 17 Gy (dose rate 3.0 Gy/min) X-irradiation thorax. Rats that survived acute pneumonitis (at 1-4 weeks) evaluated weekly for AQP1 and AQP5 in by immunohistochemical reverse transcription polymerase chain...
Lung cancer tissue includes tumor tissue, stromal cells, immune and epithelial cells. These nontumor cells dilute the purity in lung tissues. Tumor plays an essential role response to cancer. At present, biological processes related of tumors remains unclear.We measured 486 carcinoma tissues from TCGA-LUAD FPKM by using "estimate" R package. mutation burden was calculated analyzing TCGA single nucleotide polymorphism data. The cell proportion also evacuated via CIBERSORT method. samples with...
Breast cancer is highly prevalent and fatal worldwide. Currently, breast classification based on the presence of estrogen, progesterone, human epidermal growth factor 2. Because metabolism are closely related, we established a system metabolic gene expression profile. We performed typing metabolism-related genes using The Cancer Genome Atlas-Breast 2010 (YAU). included 2,752 reported in previous literature, were further identified according to statistically significant variance univariate...
Periodontitis is a chronic and multifactorial inflammatory disease. However, existing medications often lack sufficient therapeutic effects. The aim to identify potential biomarkers efficient targets using Mendelian randomisation (MR) single-cell analysis.