Next Generation Sequencing Facilitates Quantitative Analysis of dendritic cell Transcriptomes during LPS response
Transcriptomics Dataset
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General Information
AccessionGSE69256
TitleNext Generation Sequencing Facilitates Quantitative Analysis of dendritic cell Transcriptomes during LPS response
DescriptionPurpose:The purpose of this study is to detect activated or silenced genes during LPS-induced dendritic cell. Gene expression differences between two samples could be found using transcriptome profiling (RNA-seq) analysis. Methods:Mouse dendritic cells were generated from bone marrow cells in RPMI-1640 medium with recombinant mouse GM-CSF and IL-4, immature DCs were obtained before or after LPS stimulation. Immature DCs were sorted respectively based on marker CD86 and Iab(MHCII) using flowcytrometer. DC mRNA profiles were generated by deep sequencing,using Illumina. Results: We mapped about 10 million sequence reads per sample to the mouse genome, identified hundreds of genes with significant mRNA variation during LPS stimulation.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE69256
RepositoryGene Expression Omnibus
Tools used to analyze the dataset
Dataset Accession
Clustergrammer
Published October 2017
Web-based tool for visualizing and analyzing high-dimensional data as interactive and shareable heatmaps
4645
ARCHS4
Published September 2017
ARCHS4 provides access to gene counts from HiSeq 2000 and HiSeq 2500 platforms for human and mouse experiments from GEO ...
4645
Canned Analyses generated with the dataset
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Tool Name
Interactive heatmap visualization of RNA-seq dataset GSE69256
ARCHS4, Clustergrammer
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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