Integrating  different  transcription  profiling  data  to  determine  mRNA  stability  upon  host-pathogen  interaction

UM > Faculty of Health Sciences > DEPARTMENT OF BIOMEDICAL SCIENCES

Status	已發表Published
	Integrating different transcription profiling data to determine mRNA stability upon host-pathogen interaction
	Sethiya, P.; Rai, N.; Wang, F.; Wong, K. H.
	2018-06-08
Source Publication	Macau Symposium on Biomedical Sciences
Abstract	Candida glabrata is an opportunistic pathogen that causes deadly infection in immunocompromised individuals. In order to understand how these pathogens, maintain homeostasis and establish virulence in hosts, we set out to map gene expression changes during macrophage infection. Many genome-wide studies are focused on studying gene expression at the transcription level, but expression of genes can also be regulated by other mechanisms including mRNA stability. Here, we perform an integrated analysis of RNA Pol-lI occupancy by ChIP-Seq and mRNA levels through RNA-Seq to infer mRNA stability upon Candida glabrata infection of macrophage cells. We identified many genes whose relative ratio of transcription (by Pol II occupancy) to mRNA levels significantly changes upon infection, suggesting that the stability of those transcripts is altered during infection. Our preliminary result reveals that transcript stability of different classes of genes with specific functions (e.g. genes involved ribosome biogenesis, amino acid metabolism) changes after C. glabrata enters the macrophage host, suggesting coordinated stability of related transcripts is a mechanism used by cells to adapt to changing environments. Our method provides a convenient means to determine mRNA stability in any organism for better understanding of gene expression regulation under given environmental condition.
Keyword	transcription profiling mRNA host-pathogen interaction
Language	英語English
The Source to Article	PB_Publication
PUB ID	40075
Document Type	Conference paper
Collection	DEPARTMENT OF BIOMEDICAL SCIENCES Faculty of Health Sciences
Corresponding Author	Wong, K. H.
Recommended Citation GB/T 7714	Sethiya, P.,Rai, N.,Wang, F.,et al. Integrating different transcription profiling data to determine mRNA stability upon host-pathogen interaction[C], 2018.
APA	Sethiya, P.., Rai, N.., Wang, F.., & Wong, K. H. (2018). Integrating different transcription profiling data to determine mRNA stability upon host-pathogen interaction. Macau Symposium on Biomedical Sciences.

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