Transcriptomics

Dataset Information

Ext Generation Sequencing Facilitates Quantitative Analysis of Wild Type and MAP4K1-/- tumor inflitrating T cell Transcriptomes


ABSTRACT: Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare 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 Methods: Tumor inflitrating T cell mRNA profiles of 21-day after inoculated in wild-type (WT) and Hematopoietic progenitor kinase 1 (HPK1−/−) mice were generated by deep sequencing, in duplicate, using Illumina HiSeq 2500.

ORGANISM(S): Mus musculus

PROVIDER: GSE156204 | GEO | 2020/10/08

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets