Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

RNA-seq quantification in EPS15 knockdown and scramble-oligo controls in JEG3 cells

ABSTRACT: Purpose: The goals of this study are to compare transcriptomic profiles of JEG-3 cells in EPS15 knockdown and control cells. Methods: EPS15 scramble oligos were used as a negative control, while an siRNA targetting EPS15 was used to generate knockdown cell lines. Results: Using an optimized data pipeline, we quantified mRNA expression of 37,788 genes and detected differentially-expressed genes across knockdown and control cell lines. Conclusions: Our results provide some experimental evidence that EPS15 has transcriptomic consequences in human placenta-derived JEG3 cells.

ORGANISM(S): Homo sapiens

PROVIDER: GSE185071 | GEO | 2021/10/07

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

RNA-seq quantification in EPS15 knockdown and scramble-oligo controls in JEG3 cells

Project description:RNA-seq quantification in EPS15 knockdown and scramble-oligo controls in JEG3 cells

| PRJNA767603 | ENA

JEG3 vs BeWo

Project description:In this experiment we compared total RNA from two commonly used choriocarcinoma cell lines, JEG3 and BeWo, to identify differentially expressed transcripts. Keywords: other

2005-05-30 | GSE2531 | GEO

Targeted next generation sequencing of genomic DNA from PLC, JEG3 and JEG3R cells

Project description:A comparison between a human placental cell line (3A sub E placental, aka, PLC), human choriocarcinoma methotrexate-sensitive JEG3, and methotrexate-resistant JEG3R. This comparison focused on genomic 'hot spot' regions that are frequently mutated in human cancer genes.

2022-02-19 | E-MTAB-11432 | biostudies-arrayexpress

Transcription profiling of two human choriocarcinoma (placental cancer) cell lines, JEG3 and BeWo to identify differentially expressed transcripts

Project description:In this experiment we compared total RNA from two commonly used choriocarcinoma cell lines, JEG3 and BeWo, to identify differentially expressed transcripts. GSM48273 CEL file is absent

2007-12-19 | E-GEOD-2531 | biostudies-arrayexpress

Homo sapiens strain:JEG3 cells

Project description:Genome-wide CRISPR-CAS9 knockout library screening for rubella virus-entry factors in JEG3 cells

| PRJDB12762 | ENA

Expression analysis of HCT116 cells transfected using Tip60 or p400-targetting siRNA

Project description:Investigation of whole genome gene expression level changes in HCT116 cells upon knockdown of Tip60 or p400, compared to control siRNA-transfected cells. Two different siRNA directed against Tip60 were used and experiments were done in duplicate. Same for p400-targetting or control siRNA. Hybridization experiment using total RNA recovered from independent cell cultures of HCT116 transfected using control, Tip60-targetting or p400-targetting siRNA.

2013-11-22 | E-GEOD-45615 | biostudies-arrayexpress

Hsa-miR-371a-5p and hsa-miR-518a-3p regulated genes in choriocarcinoma cells

Project description:We report the application of transcriptome sequencing for investigating of the hsa-miR-371a-5p and hsa-miR-518a-3p regulated genes. JAR, JEG-3 and BeWo choriocarcinoma cells were transfected with hsa-miR-371a-5p or hsa-miR-518a-3p inhibitors or control inhibitors. Totally, 237, 132 and 277 genes with > 2 folds change and adjusted P < 0.05 were upregulated in JAR, JEG-3 and BeWo cells respectively after hsa-miR-371a-5p knockdown. Meanwhile, 229, 269 and 191 genes were upregulated in JAR, JEG-3 and BeWo cells respectively after hsa-miR-518a-3p knockdown. The top upregulated genes included many oncogenes or oncogenesis associated ones. Enrichment analysis showed hsa-miR-371a-5p and hsa-miR-518a-3p regulated diverse pathways related to tumorigenesis and metastasis. Our results would be helpful for the searching of early molecular biomarkers and therapeutic targets for gestational trophoblastic neoplasia.

2018-11-01 | GSE106394 | GEO

CD73 contributes to the pathogenesis of Fusion-Negative Rhabdomyosarcoma through the purinergic signaling pathway

Project description:We performed RNA-seq to evaluated the transcriptional changes of CD73 knockdown in RD cells, a Fusion Negative Rhabdomyosarcoma cell line. We used a Dox-inducible shRNA targetting the 3'UTR of CD73 to knockdown this gene. Cells with No-Dox were used as control.

2024-02-07 | GSE240722 | GEO

Expression analysis of HCT116 cells transfected using Tip60 or p400-targetting siRNA

2013-11-22 | GSE45615 | GEO

Identification of HTRA4 as a trasncritpional target of P63 in trophoblast

Project description:The placenta plays a crucial role in pregnancy success. deltaNp63alpha (p63), a transcription factor from the TP53 family, is highly expressed in villous cytotrophoblasts (CTBs), the epithelial stem cells of the human placenta, and has been shown to be involved in CTB maintenance and differentiation. In this study, we set out to identify mechanism(s) of action of p63, by identifying its downstream targets. We evaluate gene expression changes following overexpression and knockdown of p63 in the JEG3 choriocarcinoma cell line, using microarray-based RNA profiling. We identify High temperature requirement A4 (HTRA4), a placenta-specific serine protease involved in trophoblast differentiation and altered in preeclampsia, as a gene reciprocally regulated by p63, and characterize its expression in primary human placental tissues by RNAseq (PMID 34540826; GSE173372) and in situ hybridization. Forced overexpression of deltaNp63alpha in JEG-3 was obtained by pCMV lentiviral vector infection (empty vector used as control). ) The pLKO.1-based non-targeting scramble and p63-specific short hairpin (shRNA) lentiviral plasmids were used for gene knock-down. Vectors were previously described in Li et al Am J Pathol. 2014 PMID: 25307348.

2024-03-27 | GSE251742 | GEO

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