High-resolution genome profiling differentiated Staphylococcus epidermidis isolated from patients with ocular infections and normal individuals

Purpose: To investigate the potential phenotypic and genetic differences among the Staphylococcus epidermidis isolates obtained from control subjects (lower conjunctival sac; n = 14) with those from patients with keratitis (corneal scrapings; n = 18) or endophthalmitis (vitreous; n = 24). Methods: Biofilm-forming capacity was detected by PCR for the icaAB gene and phenotyping by microtiter plate assay and congo red agar plate. Genotyping was performed by using fluorescence-amplified fragment length polymorphism (FAFLP) and in silico analysis of the FAFLP profiles. Results: Biofilm phenotyping (congo red agar/microtiter plate) differentiated disease-causing strains from control subjects. PCR assays (mecA, icaAB) were not useful in differentiating disease-causing strains from that of control subjects. The biofilm-forming capability appeared more critical in the pathogenesis of keratitis than in that of endophthalmitis. Cluster analysis of FAFLP data generated 11 clusters comprising 4 major clusters (I, II, III, and V) and 7 minor ones. FAFLP analysis clearly showed clustering of most of the commensal isolates in cluster I, separate from keratitis and endophthalmitis isolates. In silico analysis mapped signature bands to genes such as ebh, tagD, ptsI, and sepA, which might have a significant role in transforming less virulent populations of S. epidermidis to more virulent ones. Conclusions: The population dynamics of S. epidermidis revealed that there are significant genetic variations that can be detected through FAFLP between ocular disease causing isolates and the commensal population

Retroviral Integration Mutagenesis in Mice and Comparative Analysis in Human AML Identify Reduced PTP4A3 Expression as a Prognostic Indicator

Acute myeloid leukemia (AML) results from multiple genetic and epigenetic aberrations, many of which remain unidentified. Frequent loss of large chromosomal regions marks haplo-insufficiency as one of the major mechanisms contributing to leukemogenesis. However, which haplo-insufficient genes (HIGs) are involved in leukemogenesis is largely unknown and powerful experimental strategies aimed at their identification are currently lacking. Here, we present a new approach to discover HIGs, using retroviral integration mutagenesis in mice in which methylated viral integration sites and neighbouring genes were identified. In total we mapped 6 genes which are flanked by methylated viral integration sites (mVIS). Three of these, i.e., Lrmp, Hcls1 and Prkrir, were up regulated and one, i.e., Ptp4a3, was down regulated in the affected tumor. Next, we investigated the role of PTP4A3 in human AML and we show that PTP4A3 expression is a negative prognostic indicator, independent of other prognostic parameters. In conclusion, our novel strategy has identified PTP4A3 to potentially have a role in AML, on one hand as a candidate HIG contributing to leukemogenesis in mice and on the other hand as a prognostic indicator in human AML

Exon expression arrays as a tool to identify new cancer genes

Background: Identification of genes that are causally implicated in oncogenesis is a major goal in cancer research. An estimated 10-20% of cancer-related gene mutations result in skipping of one or more exons in the encoded transcripts. Here we report on a strategy to screen in a global fashion for such exon-skipping events using PAttern based Correlation (PAC). The PAC algorithm has been used previously to identify differentially expressed splice variants between two predefined subgroups. As genetic changes in cancer are sample specific, we tested the ability of PAC to identify aberrantly expressed exons in single samples. Principal Findings: As a proof-of-principle, we tested the PAC strategy on human cancer samples of which the complete coding sequence of eight cancer genes had been screened for mutations. PAC detected all seven exon-skipping mutants among 12 cancer cell lines. PAC also identified exon-skipping mutants in clinical cancer specimens although detection was compromised due to heterogeneous (wild-type) transcript expression. PAC reduced the number candidate genes/exons for subsequent mutational analysis by two to three orders of magnitude and had a substantial true positive rate. Importantly, of 112 randomly selected outlier exons, sequence analysis identified two novel exon skipping events, two novel base changes and 21 previously reported base changes (SNPs). Conclusions: The ability of PAC to enrich for mutated transcripts and to identify known and novel genetic changes confirms its suitability as a strategy to identify candidate cancer genes

Overlapping Population Structures of Nasal Isolates of Staphylococcus aureus from Healthy Dutch and American Individuals▿

To understand Staphylococcus aureus nasal carriage and its relationship with subsequent disease, insight into the natural (nonclinical) bacterial population structure is essential. This study investigated whether the distributions of S. aureus genotypes that cause colonization differ by geographic locales. High-throughput amplified fragment length polymorphism (AFLP) analysis was performed on nasal isolates of S. aureus from healthy American (n = 391) and Dutch (n = 829) volunteers. In total, 164,970 binary outcomes, covering 135 different markers per isolate, were scored. Methicillin resistance was defined for all strains; pulsed-field gel electrophoresis typing was performed for the American isolates. The overall population structures of the American and Dutch S. aureus isolates were comparable. The same four major AFLP clusters (I to IV) and subclusters were identified for both collections. However, the Dutch methicillin-susceptible S. aureus (MSSA) isolates were overrepresented in AFLP cluster III (P = 0.0016). Furthermore, the majority of the American methicillin-resistant S. aureus isolates (90.5%) were located in AFLP cluster I (P < 0.0001). This result identifies differences in the local prevalence of certain S. aureus genotypes. AFLP clusters II and III, which represent multilocus sequence typing clonal complexes 30 and 45, respectively, account for 46.4% of all MSSA isolates in the study, suggesting that these two lineages have evolved as extremely successful pandemic colonizers of humans. In conclusion, the overall population structures of American and Dutch nasal carriage isolates of S. aureus are surprisingly similar, despite subtle geographic differences in the prevalence of certain S. aureus genotypes

Natural population dynamics and expansion of pathogenic clones of Staphylococcus aureus

The population structure of Staphylococcus aureus carried by healthy humans was determined using a large strain collection of nonclinical origin (n = 829). High-throughput amplified fragment length polymorphism (AFLP) analysis revealed 3 major and 2 minor genetic clusters of S. aureus, which were corroborated by multilocus sequence typing. Major AFLP cluster I comprised 44.4% of the carriage isolates and showed additional heterogeneity whereas major AFLP groups II and III presented 2 homogeneous clusters, including 47.3% of all carriage isolates. Coanalysis of invasive S. aureus strains and epidemic methicillin-resistant S. aureus (MRSA) revealed that all major clusters contained invasive and multiresistant isolates. However, clusters and subclusters with overrepresentation of invasive isolates were also identified. Bacteremia in elderly adults, for instance, was caused by a IVa cluster–derived strain significantly more often than by strains from other AFLP clusters. Furthermore, expansion of multiresistant clones or clones associated with skin disease (impetigo) was detected, which suggests that epidemic potential is present in pathogenic strains of S. aureus. In addition, the virulence gene encoding Panton-Valentine leukocidin was significantly enriched in S. aureus strains causing abscesses and arthritis in comparison with the carriage group. We provide evidence that essentially any S. aureus genotype carried by humans can transform into a life-threatening human pathogen but that certain clones are more virulent than others