PLX204075

GSE94907: RNA profiling Analysis of the Serum Exosomes Derived from Active and Latent M.tuberculosis infectious Patients

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

We performed RNA-seq analysis on exosomes derived from the clinical specimens of healthy control (HC), active tuberculosis (ATB) and latent tuberculosis infection (LTBI) individuals. Our results revealed the distinguished gene expression panels and patterns of the exosomes for the LTBI and ATB patients: We identified many up-regulated and down-regulated differentially expressed genes (DEGs) in the LTBI and ATB samples, and further screened the top-20 DEGs, which might provide a clue to differentiate HC, LTBI and ATB; We classified all the DEGs into six expression patterns, screened the top-20 genes in each pattern, and mainly focused on those highly expressed in LTBI and ATB; A lot of Mtb genes were only expressed and enriched in the exosomes of LTBI patients; Pathway and functional analysis further indicated the gradually increased deteriorated healthy signals in LTBI and ATB samples, including down-regulated signaling pathways/immune response, and up-regulated apoptosis/necrosis. Our findings not only add new data to tuberculosis clinical studies, but also facilitate the development of potential targets for the diagnosis, prevention and treatment of tuberculosis. SOURCE: Fei Chen (jiaxm@big.ac.cn) - Beijing Institute of Genomics

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