scholarly journals HPV16-LINC00393 Integration Alters Local 3D Genome Architecture in Cervical Cancer Cells

2021 ◽  
Vol 11 ◽  
Author(s):  
Xinxin Xu ◽  
Zhiqiang Han ◽  
Yetian Ruan ◽  
Min Liu ◽  
Guangxu Cao ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Cancer Cells ◽  
Structural Changes ◽  
Genome Structure ◽  
Genomic Variation ◽  
Chromosome Conformation ◽  
3D Genome ◽  
Cervical Cancer Cells ◽  
Normal Human ◽  
Cervical Cells

High-risk human papillomavirus (hrHPV) infection and integration were considered as essential onset factors for the development of cervical cancer. However, the mechanism on how hrHPV integration influences the host genome structure remains not fully understood. In this study, we performed in situ high-throughput chromosome conformation capture (Hi-C) sequencing, chromatin immunoprecipitation and sequencing (ChIP-seq), and RNA-sequencing (RNA-seq) in two cervical cells, 1) NHEK normal human epidermal keratinocyte; and 2) HPV16-integrated SiHa tumorigenic cervical cancer cells. Our results reveal that the HPV-LINC00393 integrated chromosome 13 exhibited significant genomic variation and differential gene expression, which was verified by calibrated CTCF and H3K27ac ChIP-Seq chromatin restructuring. Importantly, HPV16 integration led to differential responses in topologically associated domain (TAD) boundaries, with a decrease in the tumor suppressor KLF12 expression downstream of LINC00393. Overall, this study provides significant insight into the understanding of HPV16 integration induced 3D structural changes and their contributions on tumorigenesis, which supplements the theory basis for the cervical carcinogenic mechanism of HPV16 integration.

scholarly journals Lactobacillus spp. create a protective micro-ecological environment through regulating the core fucosylation of vaginal epithelial cells against cervical cancer

2021 ◽  
Vol 12 (12) ◽  
Author(s):  
Qingjie Fan ◽  
Yuanhang Wu ◽  
Mechou Li ◽  
Fan An ◽  
Lulu Yao ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Epithelial Cells ◽  
Cancer Cells ◽  
Microbial Colonization ◽  
Fucosyltransferase Gene ◽  
Cervical Cancer Cells ◽  
And Migration ◽  
Cervical Cells ◽  
Core Fucosylation ◽  
Proliferation And Migration

AbstractVaginal dysbiosis often occurs in patients with cervical cancer. The fucosylation of mucosal epithelial cells is closely related to microbial colonization, and play an important role in protecting the vaginal mucosal epithelial cells. However, no reports on the relationship between vaginal dysbiosis and abnormal mucosal epithelial cell fucosylation, and their roles in the occurrence and development of cervical cancer are unavailable. Here we report that core fucosylation levels were significantly lower in the serum, exfoliated cervical cells and tumor tissue of cervical cancer patients. Core fucosyltransferase gene (Fut8) knockout promoted the proliferation and migration of cervical cancer cells. In patients with cervical cancer, the vaginal dysbiosis, and the abundance of Lactobacillus, especially L. iners, was significantly reduced. Meanwhile, the abundance of L.iners was positively correlated with core fucosylation levels. The L. iners metabolite lactate can activate the Wnt pathway through the lactate-Gpr81 complex, which increases the level of core fucosylation in epidermal cells, inhibiting the proliferation and migration of cervical cancer cells, and have application prospects in regulating the vaginal microecology and preventing cervical cancer.

ΔNp63α Repression of the Notch1 Gene Supports the Proliferative Capacity of Normal Human Keratinocytes and Cervical Cancer Cells

2010 ◽  
Vol 70 (10) ◽  
pp. 4034-4044 ◽  
Author(s):  
Takashi Yugawa ◽  
Mako Narisawa-Saito ◽  
Yuki Yoshimatsu ◽  
Kei Haga ◽  
Shin-ichi Ohno ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Cancer Cells ◽  
Human Keratinocytes ◽  
Proliferative Capacity ◽  
Normal Human Keratinocytes ◽  
Cervical Cancer Cells ◽  
Normal Human

scholarly journals Segmentation and abnormality detection of cervical cancer cells using fast elm with particle swarm optimization

Genetika ◽  
2015 ◽  
Vol 47 (3) ◽  
pp. 863-876 ◽  
Author(s):  
P. Sukumar ◽  
R.K. Gnanamurthy
Keyword(s):  
Cervical Cancer ◽  
Particle Swarm Optimization ◽  
Cancer Cells ◽  
Selection Process ◽  
Particle Swarm ◽  
Experimental Result ◽  
Support Vector ◽  
Swarm Optimization ◽  
Cervical Cancer Cells ◽  
Cervical Cells

Cervical cancer arises when the anomalous cells on the cervix mature unmanageable obviously in the renovation sector. The most probably used methods to detect abnormal cervical cells are the routine and there is no difference between the abnormal and normal nuclei. So that the abnormal nuclei found are brown in color while normal nuclei are blue in color. The spread or cells are examined and the image denoising is performed based on the Iterative Decision Based Algorithm. Image Segmentation is the method of paneling a digital image into compound sections. The major utilize of segmentation is to abridge or modify the demonstration of an image. The images are segmented by applying anisotropic diffusion on the Denoised image. Image can be enhanced using dark stretching to increase the quality of the image. It separates the cells into all nuclei region and abnormal nuclei region. The abnormal nuclei regions are further classified into touching and non-touching regions and touching regions undergoes feature selection process. The existing Support Vector Machines (SVM) is classified few nuclei regions but the time to taken for execution is high. The abnormality detected from the image is calculated as 45% from the total abnormal nuclei. Thus the proposed method of Fast Particle Swarm Optimization with Extreme Learning Machines (Fast PSO-ELM) to classify all nuclei regions further into touching region and separated region. The iterative method for to training the ELM and make it more efficient than the SVM method. In experimental result, the proposed method of Fast PSO-ELM may shows the accuracy as above 90% and execution time is calculated based on the abnormality (ratio of abnormal nuclei regions to all nuclei regions) image. Therefore, Fast PSO-ELM helps to detect the cervical cancer cells with maximum accuracy.

scholarly journals Effect of MiR-375 Regulates YAP1 on the Invasion, Apoptosis, and Epithelial-Mesenchymal Transition of Cervical Cancer HeLa Cells

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Yi Hu ◽  
Yan Ma ◽  
Guifang Luo ◽  
Wenyan Liao ◽  
Shufen Zhang ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Hela Cell ◽  
Cancer Cells ◽  
Hela Cells ◽  
Epithelial Mesenchymal Transition ◽  
Mesenchymal Transition ◽  
Cervical Cancer Cells ◽  
Cervical Cells ◽  
Human Cervical Cancer Cells ◽  
Human Cervical Cancer

Yes-associated protein 1 (YAP1) is an important signaling pathway activator molecule. Studies have shown that it is involved in the occurrence of malignant tumors. This study identified a microRNA (miR/miRNA) targeting the 3′ untranslated region (3″ utr) of the YAP1 gene and evaluated its biological impact on human cervical cancer cells and related molecular mechanisms. qPCR and western blotting were used to detect the levels of miR-375 and YAP1 in HeLa cells. TargetScan software was used to identify the binding sites of YAP1 and miR-375. The MTT method was used to determine the viability of HeLa cells transfected with miR-375 mimic and YAP1 interference vector, the Transwell chamber experiment was used to detect the invasion of HeLa cells after transfection, the apoptosis of HeLa cells after transfection was detected by flow cytometry, and the western blotting was used to detect the epithelial mesenchymal transition (EMT) of HeLa cells after transfection. The expression of miR-375 in HeLa cells was significantly lower than that of normal control cervical cells, and the expression of YAP1 in HeLa cells was significantly higher than that of normal control cervical cells. TargetScan analysis showed that miR-375 was bound to the 3′ UTR of YAP1. qPCR and western blot analysis showed that transfection of miR-375 mimics inhibited YAP1 expression in HeLa cells. Transfection of miR-375 mimic and YAP1 interference vector inhibited HeLa cell invasion and EMT and promoted HeLa cell apoptosis. These findings indicate that miR-375 inhibits the malignant development of human cervical cancer cells by regulating the expression of YAP1.

scholarly journals Structural Variations of the 3D Genome Architecture in Cervical Cancer Development

2021 ◽  
Vol 9 ◽  
Author(s):  
Muhammad Muzammal Adeel ◽  
Hao Jiang ◽  
Yibeltal Arega ◽  
Kai Cao ◽  
Da Lin ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cervical Cancer ◽  
Gene Expression Regulation ◽  
Genome Structure ◽  
Cancer Development ◽  
Genome Architecture ◽  
Structural Variations ◽  
Chromosome Conformation ◽  
3D Genome ◽  
Cervical Cancer Development

Human papillomavirus (HPV) integration is the major contributor to cervical cancer (CC) development by inducing structural variations (SVs) in the human genome. SVs are directly associated with the three-dimensional (3D) genome structure leading to cancer development. The detection of SVs is not a trivial task, and several genome-wide techniques have greatly helped in the identification of SVs in the cancerous genome. However, in cervical cancer, precise prediction of SVs mainly translocations and their effects on 3D-genome and gene expression still need to be explored. Here, we have used high-throughput chromosome conformation capture (Hi-C) data of cervical cancer to detect the SVs, especially the translocations, and validated it through whole-genome sequencing (WGS) data. We found that the cervical cancer 3D-genome architecture rearranges itself as compared to that in the normal tissue, and 24% of the total genome switches their A/B compartments. Moreover, translocation detection from Hi-C data showed the presence of high-resolution t(4;7) (q13.1; q31.32) and t(1;16) (q21.2; q22.1) translocations, which disrupted the expression of the genes located at and nearby positions. Enrichment analysis suggested that the disrupted genes were mainly involved in controlling cervical cancer-related pathways. In summary, we detect the novel SVs through Hi-C data and unfold the association among genome-reorganization, translocations, and gene expression regulation. The results help understand the underlying pathogenicity mechanism of SVs in cervical cancer development and identify the targeted therapeutics against cervical cancer.

scholarly journals Discrimination of cervical cancer cells via cognition-based features

2019 ◽  
Vol 13 (01) ◽  
pp. 2050001
Author(s):  
Yue Liu ◽  
Jiabo Ma ◽  
Xu Li ◽  
Xiuli Liu ◽  
Gong Rao ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Cancer Cells ◽  
Cervical Screening ◽  
Computer Assisted ◽  
Cervical Cancer Cells ◽  
Bethesda System ◽  
Cervical Cells ◽  
The Bethesda System ◽  
Nuclear Segmentation

Computer-assisted cervical screening is an effective method to save the doctors’ workload and improve their work efficiency. Usually, the correct classification of cervical cells depends on the nuclear segmentation effect and the extraction of nuclear features. However, the precise nucleus segmentation remains a huge challenge, especially for densely distributed nucleus. Moreover, previous cellular classification methods are mostly based on morphological features of nucleus size or color. Those individual features can make accurate classification for severe lesions, but not for mild lesions. In this paper, we propose an accurate instance segmentation algorithm and propose cognition-based features to identify cervical cancer cells. Different from previous individual nucleus features, we also propose population features and cognition-based features according to the Bethesda System (TBS) for reporting cervical cytology and the diagnostic experience of the cytologists. The results showed that the segmentation achieves better success in complex situations than that by traditional segmentation algorithms. Besides, the cell classification via cognition-based features also help us find out more about less severe lesions’ nuclei than that based on conventional features of individual nucleus, meaning an improvement of classification accuracy for cervical screening.

Water-soluble amphiphilic ruthenium(ii) polypyridyl complexes as potential light-activated therapeutic agents

2020 ◽  
Vol 56 (65) ◽  
pp. 9332-9335
Author(s):  
Sandra Estalayo-Adrián ◽  
Salvador Blasco ◽  
Sandra A. Bright ◽  
Gavin J. McManus ◽  
Guillermo Orellana ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Cancer Cells ◽  
Cellular Uptake ◽  
Therapeutic Agents ◽  
Water Soluble ◽  
Polypyridyl Complexes ◽  
Cervical Cancer Cells

Two new water-soluble amphiphilic Ru(ii) polypyridyl complexes were synthesised and their photophysical and photobiological properties evaluated; both complexes showed a rapid cellular uptake and phototoxicity against HeLa cervical cancer cells.

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