Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

RNA-seq analysis of the transcriptional profile of SiHa cells with CNN3 interference.

ABSTRACT: Transcriptome variation of SiHa cells transfected with si-CNN3 or si-NC were detected by RNA-seq.

ORGANISM(S): Homo sapiens

PROVIDER: GSE134596 | GEO | 2019/12/31

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Homo sapiens

Project description:Transcriptome variation of SiHa cells transfected with si-CNN3 or si-NC detected by RNA-seq.

| PRJNA555739 | ENA

miRNA expression profiles among SiHa, SiHa-tw2 and SiHa-shtw2

Project description:To further identify the most significantly changed miRNA resulting from the different expression levels of TWIST2 in cervical cancer cells, we used a miRNA microarray to identify the miRNA expression profiles among SiHa, SiHa-tw2 and SiHa-shtw2. The significantly deregulated miRNAs (changes of more than 2-fold in expression) included miR-23b-5p, miR-221-3p, miR-502-3p, miR-221-5p, miR-15a-5p, miR-1227, miR-93-5p and miR-4257.

2017-11-21 | GSE102706 | GEO

Microarray expression profile of circular RNAs in cervical cancer

Project description:Human immortal cervical cell line H8, human cervical cancer cell line SiHa and SiHa transfected with Wnt11-overexpression vector were included in the study. We identified circRNAs differentially expressed between H8 and SiHa or between SiHa and SiHa transfected with OV-Wnt11.

2020-03-25 | GSE147483 | GEO

RNA-Seq of H8, SiHa and KD HSPA9 SiHa cells

Project description:To investigate the different gens expression in the cervical immortalized cervical cells (H8 cells), cervical cancer cells (SiHa cells) and KD HSPA9 SiHa cells.

2023-06-25 | GSE235550 | GEO

Next Generation Sequencing of transfected NC K1 cells and transfected si-NEAT1_2 K1 cells

Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of transfected NC K1 cells and transfected si-NEAT1_2 K1 cells. The goals of this study are to analysis the different mRNA expression between transfected NC K1 cells and transfected si-NEAT1_2 K1 cells. Quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis. We performed mRNA-seq in the NEAT1_2 knockdown group and NC group in the K1 cell line. We found that after knockdown of NEAT1_2, 615 mRNAs were upregulated and 2364 mRNAs were downregulated.

2020-12-05 | GSE159905 | GEO

RNA-seq analysis of the transcriptional profile of SiHa cells with CNN3 interference.

Project description:RNA-seq analysis of the transcriptional profile of SiHa cells with CNN3 interference.

| PRJNA555795 | ENA

lncRNA lncMGPF contributes to the genome-wide expression during myogenic differentiation

Project description:In order to screen the target genes regulated by lncMGPF,we transfected the siRNA to knock down lncMGPF gene (si-lncMGPF) and negative control siRNA (si-NC), induced cells to differentiate for 2 days.

2020-09-30 | GSE138022 | GEO

Knocking down the eIF4E gene in HaCaT cells, which M5 stimulates to establish the in vitro psoriasis cell model.

Project description:We transfected keratinocytes cell line (HaCaT cells) with si-NC and si-eIF4E, and added M5 into the cell culture medium to reveal the function of eIF4E in the in vitro psoriasis cell model.

2023-11-22 | GSE247463 | GEO

Transcriptome analysis of SiHa cells

Project description:This study assessed the transcriptional profile of SiHa cells. SiHa is a cervical cancer cell line with integrated HPV16, and was used as a model to study human gene expression in the context of integrated virus. Gene expression in SiHa, calculated by Cufflinks, was scored in windows around the locations of known viral integrations in patients or cell lines to determine if there was an association between gene expression and viral integration. We found that SiHa gene expression was higher near loci of integration for HPV18 vs. HPV16, cervical tissues vs. head and neck cancers, and cervical cancers vs. in vitro integrations. This study provides insight into the factors that may influence where viruses integrate in the human genome.

2015-11-30 | GSE67115 | GEO