Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Genome-wide profiling of mutant p53 unveils a subset of lncRNAs correlated with colorectal cancer stemness maintenance [RNA-seq]

ABSTRACT: RNA-sequencing and ChIP-sequencing were used to trace the lncRNAs regulated by p53-R273H in HCT116 endogenous p53 point mutant cell lines.

ORGANISM(S): Homo sapiens

PROVIDER: GSE124993 | GEO | 2021/01/20

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Genome-wide profiling of mutant p53 unveils a subset of lncRNAs correlated with colorectal cancer stemness maintenance [ChIP-seq]

Project description:RNA-sequencing and ChIP-sequencing were used to trace the lncRNAs regulated by p53-R273H in HCT116 endogenous p53 point mutant cell lines.

2021-01-20 | GSE125106 | GEO

Genome-wide profiling of mutant p53 unveils a subset of lncRNAs correlated with colorectal cancer stemness maintenance

Project description:This SuperSeries is composed of the SubSeries listed below.

2021-01-20 | GSE125107 | GEO

Genome-wide profiling of mutant p53 unveils a subset of lncRNAs correlated with colorectal cancer stemness maintenance

Project description:Genome-wide profiling of mutant p53 unveils a subset of lncRNAs correlated with colorectal cancer stemness maintenance

| PRJNA515257 | ENA

Genome-wide profiling of mutant p53 unveils a subset of lncRNAs correlated with colorectal cancer stemness maintenance [RNA-seq]

Project description:Genome-wide profiling of mutant p53 unveils a subset of lncRNAs correlated with colorectal cancer stemness maintenance [RNA-seq]

| PRJNA514777 | ENA

Genome-wide profiling of mutant p53 unveils a subset of lncRNAs correlated with colorectal cancer stemness maintenance [ChIP-seq]

Project description:Genome-wide profiling of mutant p53 unveils a subset of lncRNAs correlated with colorectal cancer stemness maintenance [ChIP-seq]

| PRJNA515258 | ENA

Genomewide analysis of the human p53 transcriptional network unveils a lncRNA tumor suppressor signature (RNA-seq)

Project description:We report the application of high-throughput sequencing to performed the p53 regulated trancriptome in HCT116 colon cancer cells treated with the DNA damage 5FU. To study the direct targets of p53 we performed ChIP-seq to deterrmined the p53 biding sites and associated with the expression levels. With this study we identified the new genomic regions regulated by p53 and with special attention in those regions that are non coding and are differentially expressed by the DNA damage drug. Description of the p53 transcriptome in HCT116 colon cancer cell line. The RNA-seq libraries were prepared from purified poly-A+ RNA from untreated and 5-Fluorouracil treated p53 +/+ HCT116 cells for 4 and 12h, including two independent samples for the time 12h. Paired-end and strand specific RNA sequencing libraries were prepared according to Illumina instructions and sequenced on HiSeq 2000 (Ilumina) with sequence length of 150 bp. Raw sequencing data were alignment to the human genome (hg19) using Tophat mapper.

2014-12-22 | E-GEOD-58507 | biostudies-arrayexpress

Genomewide analysis of the human p53 transcriptional network unveils a lncRNA tumor suppressor signature (expression)

2014-12-22 | E-GEOD-58409 | biostudies-arrayexpress

Mutant p53 cancers reprogram macrophages to tumor supporting macrophages via exosomal miR-1246

Project description:exosomes isolated from: HT29+control shRNA; HT29+p53 shRNA; HCT116 WT p53; HCT116 mutant p53; HCT116 null p53; media used as negative control

2018-02-09 | MSV000082047 | MassIVE

Mutant p53 elicits context-dependent pro-tumorigenic phenotypes (microarray)

Project description:These studies characterized R273C-p53 and R273H-p53 in prostate cancer cells

2021-12-23 | GSE157336 | GEO

Mutant p53 elicits context-dependent pro-tumorigenic phenotypes (ChIP-Seq)

Project description:These studies characterized R273C-p53 and R273H-p53 in prostate cancer cells

2021-12-23 | GSE157335 | GEO