Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

E-MTAB-6287

ABSTRACT: Transcriptome 3' end profiling by high throughput sequencing of HeLa cells depleted of MATR3, PTBP1/2 individually or in combination.

PROVIDER: E-MTAB-6287 | ExpressionAtlas | 2019-01-16

REPOSITORIES: ExpressionAtlas

ACCESS DATA

Json Xml

Similar Datasets

Transcriptome 3' end profiling by high throughput sequencing of HeLa cells depleted of MATR3, PTBP1/2 individually or in combination.

Project description:Transcriptome 3' end profiling by high throughput sequencing of HeLa cells depleted of MATR3, PTBP1/2 individually or in combination.

| PRJEB23802 | ENA

E-MTAB-6204

Project description:Transcriptome profiling by high throughput sequencing of HeLa cells depleted of MATR3, PTBP1/2 individually or in combination by siRNA.

2019-09-09 | E-MTAB-6204 | ExpressionAtlas

Transcriptome profiling by high throughput sequencing of HeLa cells depleted of MATR3, PTBP1/2 individually or in combination by siRNA.

Project description:Transcriptome profiling by high throughput sequencing of HeLa cells depleted of MATR3, PTBP1/2 individually or in combination by siRNA.

| PRJEB23439 | ENA

An integrated 5'- and 3'-end RNA sequencing platform for high-throughput transcriptome quantitation and annotation

Project description:RNA-Seq provides an effective way to annotate and measure the transcriptome, but the combination of cost, analysis and end-mapping challenges has limited its adoption for high-throughput quantitation and annotation. Here, we present an integrated experimental and computational suite for transcriptome annotation and quantitation based on the sequencing of mRNA ends. It consists of: a novel, simple, one-step, strategy 5' RNA-Seq; an optimized library construction method for strand-specific 3' RNA-seq that reduces costs and time; and a complete computational analysis toolkit. We demonstrate the power and versatility of our approach to study the transcriptome of LPS stimulation in mouse dendritic cells, promoter structure of the TCRb locus in mouse T cells, and gene expression in circadian cycles in Drosophila. Our platform provides a comprehensive solution for high-throughput, cost-effective transcriptome quantification and end annotation. A study of 5' and 3' end RNA sequencing methods

2013-06-01 | E-GEOD-47207 | biostudies-arrayexpress

High-throughput sequencing of small RNAs from HeLa cells

Project description:High-throughput sequencing of small RNAs from HeLa cells Keywords: high-throughput Solexa sequencing Small RNAs were sequenced from HeLa cells

2008-04-06 | E-GEOD-10829 | biostudies-arrayexpress

High-throughput sequencing of small RNAs from HeLa cells

Project description:High-throughput sequencing of small RNAs from HeLa cells Keywords: high-throughput Solexa sequencing

2008-04-07 | GSE10829 | GEO

STAU1 selectively regulates the expression of inflammatory and immune response genes and alternative splicing of nerve growth factor receptor signaling genes

Project description:To study the potential targets and functions of STAU1 which might be related to neuropathic pain, we obtained STAU1-regulated transcriptome in HeLa cells. High-throughput RNA sequencing(RNA-seq) were performed for HeLa cells and control cells to define the comprehensive gene expression profiles and identify the genome-wide alternative splicing events regulated by STAU1.

2020-10-20 | GSE136890 | GEO

An integrated 5'- and 3'-end RNA sequencing platform for high-throughput transcriptome quantitation and annotation

2013-06-01 | GSE47207 | GEO

Quantitative Analysis of Transcriptomes between Negative control, UBR5 depleted and MYC depleted HeLa cells

Project description:Purpose: The goal of this study is to compare the transcriptome changes between Negative control, UBR5 depleted and MYC depleted HeLa cells Methods: Gene expression profiles of Negative control, UBR5 depleted and MYC depleted HeLa cells were generated by deep sequencing, in triplicate. Results:The data were analyzed, and we sucessfully detected global differences in the gene expression between the given groups. Conclusions: UBR5 depletion induces gene expression changes that are partly overlapping with gene expression changes induced by MYC depletion

2020-01-15 | GSE143517 | GEO