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Series GSE127902 Query DataSets for GSE127902
Status Public on Mar 07, 2019
Title Next Generation Sequencing Facilitates Quantitative Analysis of Macrophage (RAW264.7) with and without arctigenin treatment
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to explore the mechanism and target of arctigenin affecting macrophages (RAW264.7)
Methods: Total mRNA was extracted from cells using an RNA extraction kit (Qiagen K.K., Tokyo, Japan). RNA-Seq was performed using HiSeq X Ten for next-generation sequencing by OE Biotech. Co., Ltd. (Shanghai, China). Sequenced reads were mapped to the mm9 genome using hisat2.The RNA-Seq reads that were aligned against the exon regions of genes were quantified with HTSeq-Count in the RefSeq mm9 annotation. GSEA was performed on mRNA expression datasets using the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Gene signatures were considered enriched if the false discovery rate (FDR) q-values and the family-wise error rate (FWER) p-values show significant difference.
Result: The GSEA from the KEGG database indicated that AG-induced biological processes involved several inflammatory process. GSEA methods on immunologic gene sets of Molecular Signatures Database show that the gene set of NFAT5 knockout passed the filtering criteria (p<0.01)
Conclusion: NFAT5 was the target of arctigenin
 
Overall design Macrophage (RAW264.7) with vector, with 0.5 mg/mL LPS alone or combined 1 μM arctigenin treatment.
 
Contributor(s) Ni S, Lu L
Citation(s) 31792391
Submission date Mar 06, 2019
Last update date Nov 14, 2021
Contact name Lu Lu
E-mail(s) coinland@gzucm.edu.cn
Organization name Guangzhou University of Chinese Medicine
Street address No.12,Airport Road,Baiyun District
City Guangzhou
ZIP/Postal code 510407
Country China
 
Platforms (1)
GPL21273 HiSeq X Ten (Mus musculus)
Samples (5)
GSM3656262 with vector
GSM3656263 with LPS, 1
GSM3656264 with LPS, 2
Relations
BioProject PRJNA525768
SRA SRP187700

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE127902_mRNA_counts.xls.gz 10.3 Mb (ftp)(http) XLS
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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