Dataset Information

Promyelocytic cells response to Anaplasma phagocytophilum infection

ABSTRACT: Gene expression profiling of human promyelocytic cells in response to infection with Anaplasma phagocytophilum. Total RNA derived from 3DPI Anaplasma phagocytophilum-infected HL-60 cells was labeled with A647 and total RNA derived from 3DPI Mock-infected HL-60 cells was labeled with A546. For each, 5 µg of total RNA was labeled using Genisphere Array900, Alexa Fluor dyes and SuperscriptII. Slide scanned with ScanArray Express and images processed with GenePix Pro version 4.0. Normalized log ratios VALUES determined using R-project statistical environment (http://www.r-project.org) and Bioconductor (http://www.bioconductor.org) through the GenePix AutoProcessor (GPAP, http://darwin.biochem.okstate.edu/gpap) website (P. Ayoubi, unpublished results). Keywords: time-course

ORGANISM(S): Homo sapiens

PROVIDER: GSE1694 | GEO | 2005/02/25

SECONDARY ACCESSION(S): PRJNA90657

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:Anaplasma phagocytophilum is an emerging zoonotic pathogen that causes human granulocytic anaplasmosis. These intracellular bacteria establish infection by affecting cell function in both the vertebrate host and the tick vector, Ixodes scapularis. Previous studies have characterized the tick transcriptome and proteome in response to A. phagocytophilum infection. However, in the post-genomic era, the integration of omics datasets through a systems biology approach allows network-based analyses to describe the complexity and functionality of biological systems such as host-pathogen interactions and the discovery of new targets for prevention and control of infectious diseases. This study reports for the first time a systems biology integration of metabolomics, transcriptomics and proteomics data to characterize essential metabolic pathways involved in the response of tick cells to A. phagocytophilum infection. The results showed that infection affected protein processing in endoplasmic reticulum and glucose metabolic pathways in tick cells. These results supported tick-Anaplasma co-evolution by providing new evidence of how tick cells limit pathogen infection, while the pathogen benefits from the tick cell response to establish infection. The results suggested that A. phagocytophilum induces protein misfolding to limit the tick cell response and facilitate infection, but requires protein degradation to prevent ER stress and cell apoptosis to survive in infected cells. Additionally, A. phagocytophilum may benefit from the tick cellâs ability to limit bacterial infection through PEPCK inhibition leading to decreased glucose metabolism, which also results in the inhibition of cell apoptosis that increases infection of tick cells. These results support the use of this experimental approach to systematically identify tick cell pathways and molecular mechanisms involved in tick-pathogen interactions Two samples with two replicates each were analyzed. Samples included Ixodes scapularis ISE6 cells uninfected (control) and infected with Anaplasma phagocytophilum human NY18 isolate.

Dataset Information

Promyelocytic cells response to Anaplasma phagocytophilum infection

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure