Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Next Generation Sequencing Facilitates Quantitative Analysis of dendritic cell Transcriptomes during LPS response


ABSTRACT: Purpose: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. DC mRNA profiles immature BMDCs were generated by deep sequencing

ORGANISM(S): Mus musculus

SUBMITTER: Qian Zhang 

PROVIDER: E-GEOD-69256 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications

Tet2 is required to resolve inflammation by recruiting Hdac2 to specifically repress IL-6.

Zhang Qian Q   Zhao Kai K   Shen Qicong Q   Han Yanmei Y   Gu Yan Y   Li Xia X   Zhao Dezhi D   Liu Yiqi Y   Wang Chunmei C   Zhang Xiang X   Su Xiaoping X   Liu Juan J   Ge Wei W   Levine Ross L RL   Li Nan N   Cao Xuetao X  

Nature 20150819 7569


Epigenetic modifiers have fundamental roles in defining unique cellular identity through the establishment and maintenance of lineage-specific chromatin and methylation status. Several DNA modifications such as 5-hydroxymethylcytosine (5hmC) are catalysed by the ten eleven translocation (Tet) methylcytosine dioxygenase family members, and the roles of Tet proteins in regulating chromatin architecture and gene transcription independently of DNA methylation have been gradually uncovered. However,  ...[more]

Similar Datasets

2015-03-04 | E-GEOD-60307 | biostudies-arrayexpress
2013-01-28 | E-GEOD-15036 | biostudies-arrayexpress
2013-01-28 | E-GEOD-15075 | biostudies-arrayexpress
2011-10-24 | E-GEOD-33179 | biostudies-arrayexpress
2009-03-04 | E-GEOD-13296 | biostudies-arrayexpress
2014-07-23 | E-GEOD-57671 | biostudies-arrayexpress
2008-06-15 | E-GEOD-7095 | biostudies-arrayexpress
2008-06-14 | E-GEOD-6090 | biostudies-arrayexpress
2020-02-21 | E-MTAB-8330 | biostudies-arrayexpress
2015-09-04 | E-GEOD-72716 | biostudies-arrayexpress