Project description:Gene methylation profiling of immortalized human mesenchymal stem cells comparing HPV E6/E7-transfected MSCs cells with human telomerase reverse transcriptase (hTERT)- and HPV E6/E7-transfected MSCs. hTERT may increase gene methylation in MSCs. Goal was to determine the effects of different transfected genes on global gene methylation in MSCs.
Project description:Gene methylation profiling of immortalized human mesenchymal stem cells comparing HPV E6/E7-transfected MSCs cells with human telomerase reverse transcriptase (hTERT)- and HPV E6/E7-transfected MSCs. hTERT may increase gene methylation in MSCs. Goal was to determine the effects of different transfected genes on global gene methylation in MSCs. Two-condition experiment, KP MSCs vs. 3A6 MSCs.
Project description:The study examined the infection state of HPV in the Uyghur population with cervical cancer, followed by genotyping to determine the variation in the types of HPV. Using microRNA microarray technology, differential gene expression between HPV-infected cervical cancer and uninfected normal cervical tissues was determined. The microarray results were verified by qRT-PCR using 20 sets of HPV-infected cervical cancer and uninfected cervical tissues.
Project description:Identifying the differentially expressed miRNAs in Cervical cancer patients infected with only one virus i.e. either HIV or HPV-16 and patients infected with both viruses HIV and HPV-16 with respect to their controls which is the healthy population not infected by either HIV or any HPV The miRNA array was performed using the affymetrix GeneChip® miRNA 3.0 Array (Affymetrix, Santa Clara, California, United States). The chip was processed using a commercial Affymetrix array service (GeneTech Biotechnology Limited Company, Shanghai, China). The affymetrix GeneChip® miRNA 3.0 Array contains 2,999 probe sets unique to human, mouse and rat pre-miRNA hairpin sequences, 2,216 human snoRNA and scaRNA probe sets and covers 153 organisms (19,724 probe sets). Raw data sets were extracted from all Cel files (raw intensity file) after scanning of slides. These raw data sets were separately analyzed using Expression Console and GeneSpring GX12.5 software followed by differential miRNA expression, fold change & cluster analysis.
Project description:Cervical cancer (CC) remains a significant public health issue in low- and middle-income countries (LMICs), especially in Western sub-Saharan Africa and Nigeria. While global CC incidence and mortality have declined, these regions continue to face high rates due to inadequate screening and the high prevalence of HIV, which increases CC risk by promoting persistent HPV infections. This study aimed to identify DNA methylation (DNAm) biomarkers for cervical intraepithelial neoplasia (CIN) and CC in HIV-positive Nigerian women and to assess their potential for clinical risk prediction. From 2018 to 2020, 538 participants were recruited from Nigerian tertiary hospitals. Cervical tissue samples were analyzed for DNAm using the Infinium MethylationEPIC BeadChip array, and HPV genotyping was conducted via next-generation sequencing. An epigenome-wide association study revealed 24 significant DNAm biomarkers associated with CIN and CC. These biomarkers showed hypermethylation in tumor suppressor genes (e.g., PRMD8), hypomethylation in oncogenes (e.g., MIR520H), and aberrant methylation in genes related to HIV/HPV infection and oncogenesis (e.g., GNB5, LMO4, FOXK2, NMT1). A machine learning-based DNAm classifier achieved 92.9% sensitivity and 88.6% specificity in predicting CC risk, with higher risk observed in adjacent normal cervical samples from CIN/CC patients and HIV/HPV co-infected women. DNAm biomarkers offer a promising approach to enhancing CC screening and early detection, particularly for HIV-positive women in LMICs. The DNAm-based model developed in this study shows potential for more accurate CC risk stratification, highlighting the need for further optimization, validation, and implementation in low-resource settings.
Project description:The Illumina 850k Human DNA methylation EPIC BeadChip was used to obtain DNA methylation profiles across approximately 850,000 CpGs in the formalin-fixed and paraffin-embedded tissue sections(FFPE). Samples included 3 normal samples without HPV and 6 cervical cancer samples (three HPV 16 positive,three HPV 18 positive).
Project description:The Kaposi sarcoma-associated herpesvirus (KSHV) is the causative agent of Kaposi sarcoma (KS), the most common HIV/AIDS-associated tumor worldwide. Transmission routes of KSHV in the general population are poorly understood. Whereas sexual transmission appears to be common in homosexual men, the evidence for heterosexual transmission is less convincing. In fact, KSHVDNA sequences have been detected in the prostate, semen, and in the female genital tract. Persistent infection with high-risk human papillomavirus (HPV) is the major risk factor and is a requirement for the development of cervical cancer. However, it remains unknown the interaction between KSHV and HPV, and the contribution of KSHV to cervical cancer development and pathogenesis. In the present study, we used Illumina microarray to detect the global gene profile altered in KSHV-infected siHa cervical cancer cell-line containing integrated HPV16 genome.
Project description:Human papillomavirus (HPV) infection related malignancy remains a severe public health problem worldwide, although HPV prophylactic vaccine has been introduced 15 years ago . HPV-associated cancers comprise 29.1% of all 2.2 million infection-related cancers, including nearly 100% of cervical cancers1 and some head and neck cancers . Cervical cancers are the 3rd most common cancer in women worldwide, HPV16 and 18 account for about 70% of cervical cancers. Moreover, high-risk HPV infection, especially HPV16 infection, is related to a proportion of head and neck epithelial carcinoma in both developed and undeveloped countries. HPV related cancers are most severe in developing countries where HPV prophylactic vaccination rates are low.In this project, we use iTRAQ8plex-labelling proteomics to comparatively study the protein contents in the tumour tissues of early and late stage cervical cancer patietns.