Bioinformatics analysis of immune response to group A streptococcal sepsis integrating quantitative trait loci mapping with genome-wide expression studies

Nourtan F. Abdeltawab, Rita G. Kansal, Sarah Rowe, Lidia A. Gardner, Charity Brannen, Mohammed M. Nooh, Santhosh Mukundan, Hossam A. Abdelsamed, Ramy R. Attia, William L. Taylor,

BMC Bioinformatics · 2008 · 14 citations · 5 references

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Abstract

Individuals infected with genetically identical group Astreptococcal (GAS) strains develop starkly different dis-ease progression and outcome [1]. We reported that HLAclass II allelic variation contributes to differences in sys-temic disease severity by modulating host responses tostreptococcal superantigens [2]. Inasmuch as the bacteriaproduce additional virulence factors, we sought to iden-tify additional host gene networks modulating GAS sep-sis. Accordingly, we used two parallel approaches todefine these gene networks, quantitative trait loci (QTL)mapping and genome-wide transcriptome analyses. Tomap QTLs modulating response to severe GAS sepsis, weused advanced recombinant inbred (ARI) strains, whichare genetically diverse strains that have common ancestralparents [3]. We chose to use BXD strains of ARI mice, asparental strains C57Bl/6J (B6) and DBA/2J (D2) show dif-ferential response to GAS sepsis and BXD strains are heav-ily genotyped at 13377 SNPs and microsatellite markers.BXD strains, derived from B6 and D2 parental strains, arehomozygous inbred lines, each of which is genetically dis-tinct. Using 30 different BXD strains (n = 5–26 mice perstrain), we identified significant QTLs on chromosome 2that strongly modulate disease severity [4]. To narrowdown these mapped QTLs, we applied bioinformaticstools including: linkage, interval specific haplotype analy-ses, and gene ontology and we identified multiple candi-date gene networks modulating immune response tosepsis.As a parallel approach, we performed genome-wide tran-scriptome analyses comparing resistant and susceptiblestrains. This comparison revealed 93 genes that were dif-ferentially regulated in mice spleens 36 h post-infection.These genes belonged to gene networks involvingimmune response to sepsis; particularly notable exampleswere prostaglandin (Ptges) and interleukin1 (IL-1) familypathways. Quantitative expression analyses, using realtime PCR, of prostaglandin E synthase (

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