Project description:Identification of genes differentially expressed in tumorigenic compared to non-tumorigenic, HPV18 positive cells Keywords: ordered We used microarrays to identify genes differentially expressed in tumorigenic HeLa x fibroblast hybrid cells (CGL3) and parental HeLa cells compared to non-tumorigenic HeLa x fibroblast hybrid cells (444). Gene expression profiles of proliferating cells under cell culture conditions were compared to identify differential gene expression patterns of upregulated and downregulated mRNA expression patterns of tumorigenic CGL3 and HeLa cells versus non-tumorigenic 444 cells..
Project description:Persistent infection by high-risk human papillomaviruses (HPVs) is associated with the development of cervical cancer and a subset of anogenital and head and neck squamous cell carcinomas. Abnormal expression of cellular microRNAs (miRNAs) plays an important role in the development of cancer, including HPV-related tumors. MiRNA expression profile was investigated by microrray analysis in the HPV-positive cervical cancer cell lines SiHa (HPV16-positive cell line derived from a cervical squamous cell carcinoma), CaSki (HPV16-positive cell line derived from a metastatic cervical epidermoid carcinoma), and HeLa (HPV18-positive cell line derived from a cervical adenocarcinoma) and compared with primary HFKs and C33a (HPV-negative cervical cell line).
Project description:By using HeLa as our model system, which has integration in the most recurrently integrated TAD in the cervical tumors i.e. TAD3189, we show most of the interactions of integrated HPV18 DNA is constrained within the TAD with integration. Similarly, TAD3189 also showed very high and most significant allele specific expression among all the TADs on chr8, in HeLa. The integrated HPV18 DNA also showed strong chromatin looping interactions with the oncogenes present in the TAD3189 which were ~500kb away from the integration. These oncogenes in the TAD3189 further showed high allele specific expression from the haplotype with HPV18 integration, possibly representing the cis-regulatory potential of integrated HPV DNA.
Project description:We perfomed RNA-seq analysis using HPV16-postive CaSki and SiHa cells and HPV18-postive HeLa cells for HPV integration and gene expression analyses
Project description:Most of the cervical cancers are caused by human papillomavirus (HPV) infection. It has been known that, in HeLa cells, HPV18 viral genome is integrated at chromosome 8q24.21 and activates transcription of proto-oncogene c-Myc. However, the mechanism of how the integrated HPV fragment exhibits transcription activation function has not been fully elucidated. In this study, we found that HPV18 transcripts themselves have an enhancer RNA-like function to activate their proximal genes including CCAT1-5L and c-Myc. We showed that the human genome-integrated HPV18 genes are activated by transcription coregulators BRD4, Mediator. The transcribed HPV18 RNAs form a liquid-like condensate at chromosome 8q24.21 locus, which in turn accumulates RNA polymerase II. Moreover, we identified uncharacterized transcript from Upstream Region of CCAT1-5L, named URC. The URC RNA is transcribed as a chimera RNA with HPV18 and is composed of 3'-untranslated region of HPV18 transcript. We found that the URC contributes to stabilization of HPV18 RNAs by supplying a poly-adenylation site for HPV18 transcript. Our findings suggest that HPV18 integration at 8q24.21 locus causes HPV18-URC chimera RNA and promotes tumorigenesis through RNA-based liquid droplet formation.
Project description:This analysis aimed to identify differentially expressed genes in non-tumorigenic keratinocytes transduced with E6/E7 oncogenes of HPV16 or 18. The working cell models were named HaCaT E6/E7 HPV16, HaCaT E6/E7 HPV18, and HaCaT pLVX (empty lentiviral vector) as controls. mRNA sequencing was performed on the Illumina NovaSeq 6000 platform by Novogene Bioinformatics Technology Co., Ltd, Beijing, China, with two independent replicate sequences for each cell model. Methodology: The bioinformatics pipeline analysis was executed as described below: Rstudio (v2023.06.1+524) and Galaxy (https://www.usegalaxy.orgaccessed on 15 August 2023) open-source platforms were used to analyze the Illumina raw data. The Quality Check was performed through the FastQC tool (v0.12.1); afterward, all the reads were processed by the Rsubread package (v2.14.2); at that point, the reads were trimmed and aligned to the Human Genome Reference (GRCh38.p14 v43). The resulting output was the BAM files, of which the number of reads was counted by the featureCounts tool (v2.0.3); at the final step, the Differential Expression Analysis was settled by DESeq2 tool (v2.11.40.8). The differential gene expression measurements were normalized by DESeq2´s median of ratios (median of ratio of gene counts relative to geometric mean per gene) method. All chemokine genes with an adjusted p-value (adj p) ≤ 0.05 and fold change (Log2FC) > 1 .5 or < -1.5 were selected as differentially expressed genes (DEGs). Some genes from the resulting outputs were validated through qPCR. Conclusions: Our study found 3296 differentially expressed genes in HaCaT E6/E7 HPV16 and 1943 in HaCaT E6/E7 HPV18. These results suggest that E6/E7 oncogenes from HPV16 and 18 can broadly modify transcriptomic expression.
Project description:Proteomics is a dynamic field emerged dramatically the post genomic era which has been extensively employed to study altered protein expression to gain insight into the development process and pathways involved in cancer and uncover potential protein markers. Membrane proteomes of an expanded cohort of paired CRC and adjacent non-tumorigenic tissues (1 female and 7 males) were profiled using high resolution nanoLC-MS/MS-based proteomics, which identified 1,000-1,300 proteins in each of the two tissue types. 184 proteins were differentially expressed (P < 0.05, fold change > 1.5); 69 proteins were up- regulated and 115 proteins were down-regulated in the CRC tissues relative to non-tumorigenic tissues.
Project description:Human papillomaviruses (HPVs) cause most cervical cancers and an increasing number of other anogenital and oral carcinomas, with most cases caused by HPV16 or HPV18. HPV hijacks host signalling pathways to promote proliferation, to drive carcinogenesis. Understanding these interactions could permit identification of much-needed therapeutics for HPV-driven malignancies. The Hippo signalling pathway is important in HPV+ cancers, with the downstream effector YAP playing a pro-oncogenic role. However, the significance of its paralogue TAZ remains largely uncharacterised in these cancers. We demonstrate that TAZ is dysregulated in a HPV-type dependent manner by a distinct mechanism to that of YAP and controls proliferation via alternative cellular targets. Analysis of cervical cancer cell lines and patient biopsies revealed that TAZ expression was only significantly increased in HPV18+ and HPV18-like cells and. TAZ knockdown reduced proliferation, migration, and invasion only in HPV18+ cells. RNA-sequencing of HPV18+ cervical cells revealed that YAP and TAZ have distinct targets, suggesting they promote different mechanisms. Thus, in HPV18+ cancers, YAP and TAZ play non-redundant roles. This analysis identified TOGARAM2 as a previously uncharacterised TAZ target and demonstrates its role as a key effector of TAZ-mediated proliferation, migration, and invasion in HPV18+ cancers.