Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcriptome Analysis of Wild Type and HMGB1 knock-out iSLK BAC16 cells

ABSTRACT: Purpose: RNA sequencing (RNA-seq) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived transcriptome profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis

ORGANISM(S): Homo sapiens

PROVIDER: GSE157275 | GEO | 2020/09/02

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Transcriptome Analysis of HMGB1 knock-out iSLK BAC16 cell (2)

Project description:Purpose: RNA sequencing (RNA-seq) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived transcriptome profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis. In addition, we have already registered the transcriptome analysis results of HMGB1 KO iSLK BAC16 cell in GSE157275, and this registration is to reproduce it.

2021-04-19 | GSE172275 | GEO

Dual functions of NEIL3 in DNA repair and the epithelial-mesenchymal transition

Project description:Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived liver cancer transcriptome profiling (RNA-seq) to quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis.

2022-03-01 | GSE147634 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of BALB/C mice skin Transcriptomes

Project description:Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived skin transcriptome profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis

2023-07-29 | GSE238152 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of BALB/C mice triple-negative breast cancer Transcriptomes

Project description:Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived tumor transcriptome profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis

2024-09-30 | GSE278201 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of control smooth muscle cells and Tet3-inactivation smooth muscle cells transcriptomes

Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived retinal transcriptome profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis

2022-09-20 | GSE166816 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of Wild and intervertebral disc degeneration mice

Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived intervertebral disc transcriptome profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis

2024-10-16 | GSE189551 | GEO

Next Generation Sequencing analysis at single-cell level of normal and degenerated nucleus pulposus cells transcriptomes

2022-03-23 | GSE167931 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of Wild and spinal cord injury mice

Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived intervertebral disc transcriptome profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis

2021-06-26 | GSE178930 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and Bat3-/- BMDC Transcriptomes II

2022-01-11 | GSE169550 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and Stk11-/- Endothelial cell Transcriptomes [LKB1]

Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived endothelial cell transcriptome profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis

2021-09-26 | GSE184630 | 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