Transcriptomics

Dataset Information

0

Gene expression-based, inflammatory response prediction by bronchial epithelial cell line treated with signal peptide of eosinophil cationic protein


ABSTRACT: Background Eosinophil cationic protein is a clinical asthma biomarker that would be released into blood, especially gathered in bronchia. The signal peptide of eosinophil cationic protein (ECPsp) plays an important role in translocating ECP to the extracellular space. We previously reported that ECPsp inhibits microbial growth and regulates the expression of mammalian genes encoding tumor growth factor-a (TGF-a) and epidermal growth factor receptor (EGFR). Results In the present study, we first generated a DNA microarray dataset, which showed that ECPsp upregulated proinflammatory molecules, including chemokines, interferon-induced molecules, and Toll-like receptors. The levels of mRNAs encoding CCL5, CXCL10, CXCL11, CXCL16, STAT1, and STAT2 were increased in the presence of ECPsp by 2.07-, 4.21-, 7.52-, 2.6-, 3.58-, and 1.67-fold, respectively. We then generated a functional linkage network by integrating the microarray dataset with the pathway database of Kyoto Encyclopedia of Genes and Genomes. This revealed that STAT1[/2], an important transcriptional factor that regulates cytokine expression and release, served as a hub to connect the pathways of cytokine stimulation (TGF-a and EGFR pathways) and inflammatory responses. Furthermore, integrating TGF-a and EGFR with the functional linkage network indicated that STAT1 served as a hub that connects two functional clusters, including (1) cell proliferation and survival, and (2) inflammation. Finally, we found that conditioned medium in which cells that express ECPsp had been cultured could chemoattract macrophages. Therefore, we hypothesize that ECPsp may regulate the migration of macrophages in vivo. Conclusion The increased expression and release of various cytokines triggered by ECPsp may attract macrophages to bronchia to purge damaged cells. Our approach, involving experimental and computational systems biology, predicts pathways and potential biological functions for further characterization of this novel function of ECPsp under inflammatory conditions.

ORGANISM(S): Homo sapiens

PROVIDER: GSE39122 | GEO | 2013/07/20

SECONDARY ACCESSION(S): PRJNA170056

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2013-07-20 | E-GEOD-39122 | biostudies-arrayexpress
2023-02-17 | MTBLS6886 | MetaboLights
2009-08-01 | GSE14534 | GEO
2016-03-22 | E-GEOD-67500 | biostudies-arrayexpress
2024-07-31 | GSE273572 | GEO
2024-07-31 | GSE273571 | GEO
2023-08-14 | GSE222805 | GEO
2023-08-14 | GSE222804 | GEO
2023-08-14 | GSE222826 | GEO
2021-06-08 | GSE144951 | GEO