PLX167506

GSE127902: Next Generation Sequencing Facilitates Quantitative Analysis of Macrophage (RAW264.7) with and without arctigenin treatment

  • Organsim mouse
  • Type RNASEQ
  • Target gene
  • Project ARCHS4

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 SOURCE: Lu Lu (coinland@gzucm.edu.cn) - Guangzhou University of Chinese Medicine

View on GEOView in Pluto

Key Features

Enhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.

Learn More

14K+ Published Experiments

Access an extensive range of curated bioinformatics data sets, including genomic, transcriptomic, and proteomic data.

Easy Data Import

Request imports from GEO or TCGA directly within Pluto Bio. Seamlessly integrate external data sets into your workflow.

Advanced Search Capabilities

Utilize powerful search tools to quickly find the data sets relevant to your research. Filter by type, disease, gene, and more.

Analyze and visualize data for this experiment

Use Pluto's intuitive interface to analyze and visualize data for this experiment. Pluto's platform is equipped with an API & SDKs, making it easy to integrate into your internal bioinformatics processes.

Read about post-pipeline analysis

View QC data and experiment metadata

View quality control data and experiment metadata for this experiment.

Request import of other GEO data

Request imports from GEO or TCGA directly within Pluto Bio.

Chat with our Scientific Insights team