Biomedical subjects

Zaozao Chen

Publications and source records attributed to Zaozao Chen.

4 recordsLinked to original sources

PubMed2025

Unraveling cellular dynamic changes in tumor evolution induced by long-term low dose-rate radiation.

BACKGROUND: In recent years, there has been a steady increase in professionals engaged in radioactive work. The biological impacts of long-term exposure to low dose-rate radiation remain elusive, as there is a dearth of systematic research in this field. METHODS: BEAS-2B cells were used to establish a cell model with continuous passaging after radiation exposure, which was subsequently subjected to in vivo tumorigenesis assays and in vitro malignant phenotype experiments. By scRNA-seq, we conducted copy number variation analysis, cell trajectory analysis, and cell communication analysis. Furthermore, we used FACS, molecular docking, multiplex immunohistochemistry, qRT-PCR, and co-immunoprecipitation to validate and further explore the molecular mechanisms driving tumor evolution. RESULTS: Long-term low dose-rate exposure is associated with a higher degree of malignancy, as evidenced by the induction of more CNV and EMT events, as well as the delayed activation of DNA repair pathways, which trigger increased genomic instability. The long-term low dose-rate specific ligand-receptor pair, ANGPTL4-SDC4, enhances cell malignancy by promoting angiogenesis in newly formed lung tumor cells. CONCLUSIONS: This study not only provides the first evidence and mechanistic explanation that long-term low dose-rate radiation leads to increased cellular malignancy but also offers valuable theoretical insights into the dynamic processes of early tumor evolution in lung cancer within the realm of tumor biology.

Humans↗

PubMed2006

Microarray-based molecular margin methylation pattern analysis in colorectal carcinoma.

The positive surgical margins are associated with postsurgical recurrence in colorectal carcinoma patients, and molecular margin analysis is considered to be more sensitive in detecting preneoplastic lesions than is conventional histological margin examination. Here, we developed a microarray and established six calibration curves for hMLH1 gene methylation patterns analysis in 20 colorectal resected margin specimens and corresponding tumor tissue specimens as well as four normal tissue specimens. The results indicated that a moderate methylation level (8-42%) was found in 20 surgical margin tissues, extensive methylation (25-58%) was detected in 20 tumor tissues, and little or no methylation was observed in normal tissues. Of the six paired probes, the average methylation levels in 20 tumor tissues were 60, 35, 43, 53, 38, and 27%, whereas the average methylation levels of the six paired probes in 20 surgical margin tissues were 43, 16, 24, 28, 21, and 11%. Thus, this study demonstrated the feasibility of this assay for molecular assessment use. In addition, it will contribute significant information to our understanding of CpG island methylation for cancer diagnosis and postoperative recurrence.

Adaptor Proteins, Signal Transducing↗

PubMed2006

Exo-Dye-based assay for rapid, inexpensive, and sensitive detection of DNA-binding proteins.

We reported herein a rapid, inexpensive, and sensitive technique for detecting sequence-specific DNA-binding proteins. In this technique, the common exonuclease III (ExoIII) footprinting assay is coupled with simple SYBR Green I staining for monitoring the activities of DNA-binding proteins. We named this technique as ExoIII-Dye-based assay. In this assay, a duplex probe was designed to detect DNA-binding protein. One side of the probe contains one protein-binding site, and another side of it contains five protruding bases at 3' end for protection from ExoIII digestion. If a target protein is present, it will bind to binding sites of probe and produce a physical hindrance to ExoIII, which protects the duplex probe from digestion of ExoIII. SYBR Green I will bind to probe, which results in high fluorescence intensity. On the contrary, in the absence of the target protein, the naked duplex probe will be degraded by ExoIII. SYBR Green I will be released, which results in a low fluorescence intensity. In this study, we employed this technique to successfully detect transcription factor NF-kappaB in crude cell extracts. Moreover, it could also be used to evaluate the binding affinity of NF-kappaB. This technique has therefore wide potential application in research, medical diagnosis, and drug discovery.

Amino Acid Sequence↗

PubMed2006

Quantitative analysis of promoter hypermethylation in multiple genes in osteosarcoma.

BACKGROUND: Osteosarcoma is the most common solid malignant diseases of childhood, occurring in approximately 6 children per million annually; however, to the authors' knowledge to date, the cause of osteosarcoma has remained mostly unknown. Genetic alterations of genes that are specific for osteosarcoma have not been identified. Genetic alternations in the status of DNA methylation, known as epigenetic alterations, are the most common molecular alterations in human neoplasia. Aberrant methylation in the promoter region of tumor-related genes is associated closely with epigenetically mediated gene silencing, which is a common feature in human tumors. METHODS: The authors analyzed CpG islands of 5 different gene loci for aberrant methylation profiles in 30 pairs of osteosarcoma and corresponding normal tissues by using the quantitative methylation-specific polymerase chain reaction method. The objectives of this study were to characterize the methylation changes in osteosarcoma more extensively and to identify epigenetic biomarkers that may be useful in the diagnosis and prevention of osteosarcoma. RESULTS: For the Ras effector homologue (RASSF1A), tissue inhibitor of metalloproteinase 3 (TIMP3), O-6-methylguanine DNA methyltransferase (MGMT), and death-associated protein kinase 1 (DAPK1) genes, significant differences were observed in the degree of hypermethylation between tumors and normal tissues (P < 0.01 and P < 0.001, respectively). Measurement of the cumulative multiple promoter hypermethylation revealed striking differences between tumor specimens and normal tissues (t = 7.31; P < .001). There also was a significant difference in the levels of DNA methylation between the metastatic and nonmetastatic high-grade osteosarcomas (t = 4.57; P < .01). In addition, the methylation levels were associated closely with gender (t = 6.44; P < .001). CONCLUSIONS: The results indicated that tumor tissues from patients with osteosarcoma had a significantly higher incidence of hypermethylation for several genes compared with corresponding normal tissues. The epigenetic changes observed in this study may have prognostic importance for patients with osteosarcoma.

Adolescent↗