Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ZXDC is highest expressed transcription factor on TBLR1-overexpressed HeLa cells

ABSTRACT: In our previous study, we revealed that transducing (beta)-like 1X-linked (TBLR1) is a potential prognostic marker which has a negative effect on the overall survival in cervical cancer patients.This transcriptome sequencing results of TBLR1-overexpressing and TBLR1-knockdown cervical cells identified ZXDC (ZXD family zinc finger C) as the most significantly differently expressed transcription factor (TF) among all TFs (Figure S1), indicating its potential role in cervical cancer progression.

ORGANISM(S): Mus musculus

PROVIDER: GSE234087 | GEO | 2023/06/13

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Effects of BRD4 inhibitor JQ1 on the expression profile in cervical cancer HeLa cells

Project description:The potential antitumor effects of JQ1 on cervical cancer cells and its impact on the expression profile remain unknown. To explore the mechanism of JQ1 affecting the progression of cervical cancer, this study used high-throughput sequencing technology to investigate the transcriptome changes of cervical cancer cells treated with JQ1 to reveal the signal pathway and biological function of JQ1 on cervical cancer cells and to provide transcriptome evidence for the application of cervical in the potential treatment of cervical cancer.

2024-02-09 | GSE235031 | GEO

RNA expression and m5c modification in NSUN2 kncok down CaSki cell

Project description:5-methylcytosine (m5C) modification ubiquitously occurs on mammalian mRNAs and plays important roles in multiple biological processes. Currently, the role of m5C in cancer initiation and progression is gaining more and more research attention, but the detailed mechanism remains unclear. As an m5C methyltransferase with unique mRNA catalytic activity, NSUN2 was found to be highly expressed in multiple cancers including gastric, bladder, gallbladder, and breast cancers, suggesting NSUN2 might exert oncogenic properties through affecting m5C levels in cancer cells. Therefore, to understand the potential roles of RNA m5C modification in tumorigenesis of cervical cancer, we established NSUN2 stable knockdown CaSki cell, and perform RNA-seq and RNA-BisSeq to figure out the possible pathway involved in cervical cancer development.

2021-09-24 | GSE184621 | GEO

RNA-seq analysis of HeLa cells overexpressing histone methyltransferase KMT2B

Project description:KMT2B，a major H3K4 tri-methyltransferase, contributes to the development of various cancers. However, its role in cervical cancer is unclear. We found that KMT2B is upregulated in cervical cancer tissues, which is significantly associated with poor prognosis.To investigate the underlying mechanism of KMT2B in the progression of cervical cancer, we established stable KMT2B-overexpression HeLa cells.Then we compared the whole genome mRNA expression profile of KMT2B overexpression and control HeLa cells using RNA-seq.

2022-08-03 | GSE209928 | GEO

Hypoxia effects on the transcriptome of HeLa cells

Project description:Hypoxia is associated with several diseases, including cancer. Circular RNAs (circRNAs) are a novel class of non-coding RNAs that have been implicated in multiple cancers and attract increasing attention as potential biomarkers. In this study, the transcriptome-wide response of human HeLa cervical cancer cells to hypoxia was investigated. The circRNA signatures as well as differential gene expression and alternative splicing were analyzed by integrating available tools with custom approaches for quantification and statistical analysis.

2019-12-04 | GSE131379 | GEO

Gene expression data from parental HeLa and Dickkopf-1 (Dkk1) knockout HeLa cells after Cisplatin treatment

Project description:Infection with oncogenic human papillomavirus (HPV) is a major cause for the development of cervical cancer, which is mainly driven by the expression of the HPV E6 and E7 oncoproteins. We uncovered that the concentration levels of the putative tumor suppressor Dickkopf-1 (Dkk1) are restricted in cervical cancer cells by HPV E6 expression due to the E6-mediated proteolytic degradation of p53, which is a transcriptional regulator of Dkk1. Moreover, we found that Dkk1 is critically involved in the pro-apoptotic Cisplatin response of these cells, as Dkk1 repression was associated with an increased resistance towards the chemotherapeutic compound. This could be of high relevance for cervical cancer treatments, which usually involve Cisplatin for standard care. Although Dkk1 is a major antagonist of the canonical Wnt signaling, the differential response towards Cisplatin observed in Dkk1-depleted cells was not associated to an activation of this pathway. To elucidate alternative underlying mechanisms, we performed Affymetrix Gene Expression analyses comparing the transcriptome of Cisplatin-treated parental HeLa to CRISPR/Cas9-generated Dkk1 knockout (KO) HeLa cells. These revealed that Dkk1 depletion is linked to an impairment of the pro-apoptotic JNK/AP-1 pathway in cervical cancer cells, suggesting that Dkk1 drives Cisplatin-mediated apoptosis via activation of this signaling hub.

2022-08-16 | GSE200748 | GEO

GNPS Comparable plasma lipid changes in patients with high-grade cervical intraepithelial neoplasia and patients with cervical cancer

Project description:Comparable plasma lipid changes in patients with high-grade cervical intraepithelial neoplasia and patients with cervical cancer

2020-10-22 | MSV000086351 | GNPS

Proteomic and metabolomic analysis of Nothapodytes nimmoniana (J. Graham) extracts treatment on HeLa cells

Project description:Nothapodytes nimmoniana is a natural source of camptothecin, a known anticancer drug. Stem and leaf extracts of Nothapodytes nimmoniana were studied to assess its in-vitro action on cancer progression events in a cervical cancer cell line, the HeLa. As a well-studied ideal model system, the HeLa has been chosen and the effects of extracts on cancer progression events have been traced out. HeLa cells and media samples were analyzed for differentially expressed proteins and metabolites respectively on RRLC-ESI-QTOFMS. The CBFA2T1, cysteine-rich protein 2-binding protein, Zinc finger protein 788, transcription factor RFX3 and angiomotin-like protein 1 were significantly expressed proteins while 3-Hydroxysuberic acid, Indole-3-carboxylic acid, N8-Acetylspermidine, L-Octanoylcarnitine were significantly expressed metabolites. Aminoacyl-tRNA biosynthesis, purine metabolism, and valine, leucine, arginine, proline metabolism were the most prominent pathways. The multi-omics approach has the greatest metabolites and proteins profiling potential hence was applied here to find signatures of N. nimmoniana extracts treatment of cervical cancer.

2020-04-07 | PXD017375 | Pride

A novel prognostic risk model for cervical cancer based on immune checkpoint HLA-G-driven differentially expressed genes [HeLa]

Project description:The aim of this study was to construct and validate a prognostic risk model to predict the overall survival (OS) of patients with cervical cancer, providing a reference for individualized clinical treatment that may lead to better clinical outcomes. HLA-G-driven DEG signature consisting of the eight most important prognostic genes CD46, LGALS9, PGM1, SPRY4, CACNB3, PLIN2, MSMO1, and DAGLB was identified as a key predictor of cervical cancer. To summarize, we developed and validated a novel prognostic risk model for cervical cancer based on HLA-G-driven DEGs, and the prognostic signature showed great ability in predicting the overall survival of patients with cervical cancer.

2022-07-19 | GSE208117 | GEO

LncRNA TP53TG1 plays an anti-oncogenic role in cervical cancer by synthetically regulating transcriptome profile in HeLa cells

Project description:Long non-coding RNAs (lncRNAs) have been extensively studied as key regulators of cancer development in various cancers. TP53TG1 is a newly identified lncRNA in recent years, and several studies have shown that TP53TG1 may play oncogenic or anti-oncogenic roles in different cancers. Pan-cancer analysis showed that high TP53TG1 expression was significantly associated with better prognosis. Nevertheless, the role of TP53TG1 in the development of cervical cancer is unclear. In our study, we constructed a TP53TG1 overexpression model in HeLa cell line. We found that TP53TG1 overexpression significantly inhibited cell proliferation and induced apoptosis, and TP53TG1 may be a novel anti-oncogenic factor in cervical cancer. Mechanistically, overexpression of TP53TG1 could activate type I interferon signaling pathways and inhibits the expression of genes involved in DNA damage responses. Meanwhile, TP53TG1 could regulate the expression of a large number of RNA binding protein genes thereby potentially affecting the alternative splicing of genes involved in cell proliferation or apoptosis regulation. We also established a ceRNA network to predict the regulatory effect of TP53TG1 on gene expression through miRNA. Our study highlights the essential role of lncRNA TP53TG1 in the development of cervical cancer and suggests the potential regulatory mechanisms.

2022-09-22 | GSE206471 | GEO

Kservage_20241202_NCOMMS-24-75296_A repurposed AMP binding domain reveals mitochondrial protein AMPylation as a regulator of cellular metabolism

Project description:Raw files for proteomics datasets: Table S2 and Figure S1 = file# 3415 (AMP GlnA peptide) and file#s 3698 (DA), 3699 (WT), and 3700 (VA) Table S3 and Figure 5 = files #s 3670 (DA) and 3673 (UC) Figure 6 = file #s 4543 (DA) and 4544 (UC) Figure S11 = file# 4544 Table S1= file# 2980

2024-12-02 | MSV000096576 | MassIVE

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data