Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Expression of circular RNAs in human HT29, 293FT and HeLa cells

ABSTRACT: Expression of circular RNAs in human HT29, 293FT and HeLa cells

PROVIDER: PRJNA629754 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR11680235_1.fastq.gz	Fastqsanger.gz
	SRR11680235_2.fastq.gz	Fastqsanger.gz
	SRR11680236_1.fastq.gz	Fastqsanger.gz
	SRR11680236_2.fastq.gz	Fastqsanger.gz
	SRR11680237_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 12

Similar Datasets

Expression of circular RNAs in human HT29, 293FT and HeLa cells

Project description:Deep sequencing datasets are used for circRNA expression analysis in human HT29, 293FT and HeLa cells.

2020-10-09 | GSE149691 | GEO

Profiling circular RNAs in HeLa cell

Project description:We used RNA-seq to examine circular RNAs from RNase R treated ribo-zero RNAs in HeLa cells.

2019-09-13 | GSE119938 | GEO

Profiling circular RNAs in HeLa cell

Project description:Profiling circular RNAs in HeLa cell

| PRJNA490742 | ENA

Transcriptomics analysis of circular RNAs differentially expressed in apoptotic HeLa cells

Project description:Transcriptomics analysis of circular RNAs differentially expressed in apoptotic HeLa cells

| PRJNA515690 | ENA

Circular DNA tumor viruses make circular RNAs

Project description:Circular DNA tumor viruses make circular RNAs

| PRJNA483204 | ENA

Circular RNAs affect mRNA stability

Project description:Circular RNAs affect mRNA stability

| PRJNA1002274 | ENA

An improved method for identifying biological circular RNAs

Project description:Purpose: We are using the illumina sequencing to compare the false positive and true positive circular RNA findings to confine the method to detect the true circular RNAs Methods: The testis whole transcriptome profiling was generated from 4-week mouse testis using illumina Nextseq, duplicated. The sequence reads that passed quality filters were analyzed at the transcript isoform level with TopHat followed by Cufflinks. Results: our data suggest that circular RNAs identified based on junction sequences in the RNA-seq reads, especially those from Illumina Hiseq sequencing, mostly result from template-switching events during reverse transcription by MMLV-derived reverse transcriptases. It is critical to employ reverse transcriptases lacking terminal transferase activity (e.g., MonsterScript) to construct sequencing library or perform RT-PCR for identification and quantification of true circular RNAs. Conclusions: Our study represents the first detailed analysis of retinal transcriptomes, with biologic replicates, generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that NGS offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA content within a cell or tissue. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions. The wild type mouse testis RNAs were constructed NGS library by two different enzyme, then parallel sequenced in illumina Nextseq

2016-07-05 | E-GEOD-83992 | biostudies-arrayexpress

RNA sequencing for KSHV circular RNAs

Project description:RNA sequencing for KSHV circular RNAs

| PRJNA498320 | ENA

RNA sequencing for KSHV circular RNAs

Project description:The purpose was to detect viral circular RNAs from infected cells.

2018-11-20 | GSE121756 | GEO

Identification and characterization of MCF01A circular RNAs [RNA-seq]

Project description:Circular RNAs (circRNAs) are widespread circular forms of non-coding RNAs with largely unknown function. Because stimulation of mammary cells with the epidermal growth factor (EGF) leads to dynamic changes in the abundance of both coding and non-coding RNA molecules, and culminates in the acquisition of a robust migratory phenotype, this cellular model might disclose functions of circRNAs. Here we show that circRNAs of EGF-stimulated mammary cells are stably expressed, while mRNAs and micro-RNAs change within minutes. In general, the circRNAs we detected are relatively long-lived and weakly expressed. Interestingly, they are almost ubiquitously co-expressed with the corresponding linear transcripts, and the respective, shared promoter regions are more active compared to genes producing linear isoforms only. These findings imply that altered abundance of circRNAs, unlike changes in the levels of other RNAs, might not play critical roles in signaling cascades and downstream transcriptional networks that rapidly commit cells to specific outcomes. Detection of circRNAs from RNA-Seq â triplicate

2015-12-17 | E-GEOD-71195 | biostudies-arrayexpress

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