Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “Genomic profiling”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 631 records · Page 35Linked to original sources

Identification of atypical rotaviruses in outbreaks of preweaning and postweaning diarrhea in Québec swine herds.

Intestinal contents of diarrheic pigs from 120 outbreaks of diarrhea were examined for the presence of atypical rotaviruses. Pigs involved in these outbreaks were aged two days to five weeks and samples collected over a period of one year originated from different regions of the province of Québec. Samples were analyzed by polyacrylamide gel electrophoresis (PAGE) for the presence of viral RNA and genome profiles were compared to those of porcine rotavirus A/OSU, B/Ohio and C/Cowden. Based on electropherotypes both typical (group A) and atypical (groups B and C) rotaviruses were identified. Rotaviruses could be demonstrated in 25.8% of outbreaks and together atypical rotaviruses accounted for 46.7% of rotavirus-positive outbreaks. Other common enteropathogens were often present in conjunction with rotaviruses in the preweaning and postweaning outbreaks studied.

Animals↗

Genetic diversity in populations of Gentoo penguins (Pygoscelis papua).

RAPD analysis was used to examine the extent of genetic polymorphism in two populations of Gentoo penguin (Pygoscelis papua) from Antarctic Islands (Petermann and Livingston). The chosen two of three 10 mer oligonucleotide primers accordingly to preliminary results showed different levels of polymorphism in Gentoo penguins at Petermann Island (from 23.53 to 42.86%) and Livingston Island (from 52.94 to 57.14%). Nei's similarity coefficients were in range from 0.5606 (when Gentoo genome profiles were compared with RAPD profiles of two related penguin species: Pygoscelis adeliae (Adelie) and Pygoscelis antarctica (Chinstrep)) to 0.9281 among observed Gentoo penguin populations. Nei's distances values ranged from 0.0746 to 0.5787 among the populations and species. The obtained results will be used for further estimation of genetic diversity of Gentoo penguins and determination of their taxonomic status.

Animals↗

Real-time quantitative PCR for Marek's disease vaccine virus in feather samples: applications and opportunities.

Marek's disease, an economically-important lymphoid neoplasm of chickens, is controlled by vaccination with CVI988 strain of Marek's disease herpesvirus. Sub-optimal vaccinal protection can have multiple causes. Accurate quantification of CVI988 in vaccinated chickens will assist in understanding the causes of these vaccine breaks. We developed, optimised and validated a real-time PCR assay for quantification of CVI988 vaccine virus (in terms of CVI988 genomes per 10,000 cells) in the feather tips, a rich source of viral DNA which can easily be sampled in a non-invasive manner. CVI988 load in feathers was predictive of CVI988 load in spleen, so is anticipated to be a good predictor of protection. The optimal age of chicks for feather collection is between two to five weeks, and feathers are preferentially taken from the axillary tract. This PCR test is now used to monitor vaccine virus levels in commercial chicks. For each flock under test, fifty birds are feather sampled for q-PCR. We describe how the feather CVI988 genome profile can show the flock's response to vaccination, and the likelihood of vaccine breaks. Furthermore, the q-PCR test can be applied to researching optimal timing and vaccine delivery routes, and optimal vaccination regimes for different breeds of chick.

Animals↗

A comparison of seven strains of porcine rotavirus as studied by serum neutralization and RNA electrophoresis.

Seven strains of porcine rotavirus, four of which (83/17F, 84/52F, 84/106F, 84/158F) had been isolated from diarrheic piglets in herds located in three regions (Lombardia, Veneto, Emilia) of Northern Italy, and the remaining three (SW 20/21, OSU, S80) obtained from the U.K., USA and Japan, respectively, were compared. The study included reciprocal serum neutralization tests as well as genomic RNA electrophoresis. The Italian isolates together with the U.K. (SW 20/21) and the USA (OSU) strains proved to belong to the same serological group, whereas the Japan (S80) strain appeared to be serologically distinct from the others. The gene segments of the viruses under study had identical or closely similar electrophoresis mobilities, with the only exception of S80 strain the genome profile of which was quite different from the other porcine rotavirus strains.

Animals↗

[A Case of Stage Ⅳ Lung Adenocarcinoma with Bilateral Breast Metastases Mimicking Inflammatory Breast Cancer].

Breast metastases from primary lung cancers with inflammatory breast cancer (IBC)-like features are rare. Here, we report a patient with bilateral breast metastases from an advanced lung adenocarcinoma that mimicked IBC. A 67-year-old woman was diagnosed with right middle lobe lung adenocarcinoma with pleural and peritoneal dissemination (cT2aN2M1c, cStage ⅣB) and received systemic therapy. Twenty-nine months later, skin erythema and edema appeared in both breasts, suggesting bilateral IBC. Core needle biopsies of both breasts revealed atypical carcinomas without intraductal or lobular in situ components. Immunohistochemistry showed thyroid transcription factor-1 and Napsin A positivity and GATA3 negativity, supporting the diagnosis of metastatic lung adenocarcinoma of the breasts. Comprehensive genomic profiling of the breast specimen revealed an EGFR exon 19 deletion, and osimertinib achieved disease control within 1 year. This report highlights a diagnostic pitfall in which lung adenocarcinoma metastasis to the breast mimics IBC and underscores the importance of biopsy, an appropriate immunohistochemical panel, and molecular testing to establish a correct diagnosis and guide optimal systemic therapy.

Humans↗

[Bacterial genotyping in nosocomial infections].

Hospitalized patients are at unusually high risk of infections, and furthermore, the hospital environment favors the acquisition of resistance to antimicrobial agents, complicating the treatment of nosocomial infections due to drug-resistant pathogens. The prevention of nosocomial infections, based on a surveillance system as an essential element of an infection control program, is the only way to reduce morbidity and mortality. A typing method for strain clonality permits the infection control program to confirm the association between infected patients and the reservoir for the microorganisms of interest and to determine modes of transmission, because the mode of transmission or reservoir may not be the same for multiple strains of a bacterial species. An ideal method of subtyping bacterial isolates from a given species should be simple, rapid, sensitive and discriminatory. Traditionally, once bacterial isolates from an outbreak have been determined to be of the same species, further evaluation for similarity or relatedness has been based on phenotypic methods. Biotyping, serotyping, phagetyping, and antibiotype determination are not always adequately sensitive to distinguish unrelated strains with similar phenotypes. Within phenotypic methods, multilocus enzyme electrophoresis is a powerful tool but because of its complexity it is not likely to become widely available for study of local outbreaks of bacterial infections. In recent years, molecular genetic methods, including plasmid profile, genomic restriction fragment length polymorphism analyses by conventional electrophoresis or by pulsed-field gel electrophoresis, single chromosomal gene polymorphism by DNA hybridization or by PCR amplification, ribotyping, and genomic fingerprinting generated by repetitive element sequence-based polymerase chain reaction, have been useful in evaluating endemic infections and outbreaks of a variety of nosocomial pathogens. For epidemiologic studies, genotyping systems based on defined chromosomal genes or whole DNA polymorphism provide significant advantages over plasmid analysis. Among plasmid-non-based genotypic methods, the choice depends on i) the examination of how much discrimination the method can add for the epidemiologic investigation, ii) the resources available to the laboratory, and iii) the level of expertise of the personnel involved in the testing because, until standardized rules of interpretation are published, the same data may be interpreted in different ways by different investigators. Finally, biotyping, serotyping, and antibiotype determination remain an appropriate first step for the evaluation of apparent outbreaks with the caveat that different strains with the same phenotypic properties may exist concurrently within the same environment. Genotyping may be a second level of analysis to evaluate relatedness of bacterial strains, because the use of molecular biology techniques should support an epidemiologic investigation rather than initiate it.

Bacterial Typing Techniques↗

Rotavirus G and P types in children from Belém, northern Brazil, as determined by RT-PCR: occurrence of mixed P type infections.

Fifty-four group A rotavirus-positive stool samples, obtained from children aged less than three years during a longitudinal (December 1982 to March 1986) study in Belém, Brazil, were re-examined. The samples were tested by reverse-transcription and polymerase chain reaction to determine their G-type and P-type specificity. Only 17 (32%) of these rotavirus strains could be successfully G- and P-genotyped. While 10 (59%) of the 17 strains showed single G- and P-type specificity, the remaining belonged to single G- and mixed P-genotypes. Rotavirus strains P[8], G1 and P[4], G1 predominated, accounting for 29% and 18% of the typed strains respectively. Mixed P-type infections caused by rotaviruses classified as P[8] + P[4], G1 were identified in 23% of cases. All but 3 of the 54 rotavirus strains displayed long genomic profiles, as demonstrated by the analysis of RNA by polyacrylamide gel electrophoresis. Most (70%) rotavirus strains with single G- and P-type specificity were detected during the first year of life, whereas 5 (71%) of the seven mixed P-type infections occurred throughout the second or third year of age. Reinfections were noted in two children, both of them being infected with P[8] + P[4], G1 rotavirus strains when aged 20 months. The high proportion of untypeable rotavirus strains suggests that unusual types may be circulating in Belém. In addition, the occurrence of mixed P-type infections in our region indicates the potential for reassortment between different rotavirus genogroups. Monitoring of these rotavirus strains may have important implication in the context of future strategies of rotavirus vaccination in Brazil.

Child, Preschool↗

Genome trees from conservation profiles.

The concept of the genome tree depends on the potential evolutionary significance in the clustering of species according to similarities in the gene content of their genomes. In this respect, genome trees have often been identified with species trees. With the rapid expansion of genome sequence data it becomes of increasing importance to develop accurate methods for grasping global trends for the phylogenetic signals that mutually link the various genomes. We therefore derive here the methodological concept of genome trees based on protein conservation profiles in multiple species. The basic idea in this derivation is that the multi-component "presence-absence" protein conservation profiles permit tracking of common evolutionary histories of genes across multiple genomes. We show that a significant reduction in informational redundancy is achieved by considering only the subset of distinct conservation profiles. Beyond these basic ideas, we point out various pitfalls and limitations associated with the data handling, paving the way for further improvements. As an illustration for the methods, we analyze a genome tree based on the above principles, along with a series of other trees derived from the same data and based on pair-wise comparisons (ancestral duplication-conservation and shared orthologs). In all trees we observe a sharp discrimination between the three primary domains of life: Bacteria, Archaea, and Eukarya. The new genome tree, based on conservation profiles, displays a significant correspondence with classically recognized taxonomical groupings, along with a series of departures from such conventional clusterings.

Animals↗

Translational profiling: the genome-wide measure of the nascent proteome.

Translation in eukaryotic cells is both physically and temporally separated from transcription. This provides cells with extended options to alter their proteome: (1) directly, by synchronizing translation with an altering transcriptional profile; (2) by imposing a changed translational control over transcripts already present in the transcriptome; or (3) by a combination of (1) and (2). In this paper, recent findings in the controlled translation of the transcriptome using microarray analyses are reviewed. A guide to the current technologies and data analysis is also provided, and future directions in the study of translational control as the interface between the transcriptome and the proteome are outlined. This survey is focused on the yeast Saccharomyces cerevisiae, but the topics covered have universal relevance to the control of translation in eukaryotic cells.

Gene Expression Profiling↗

Genome-wide transcriptional profiling of the Escherichia coli responses to superoxide stress and sodium salicylate.

Escherichia coli responds to oxidative stress by activating sets of coregulated genes that help the cell to maintain homeostasis. Identified previously by genetic and biochemical approaches, the soxRS system mediates the induction of 18 of these redox-inducible genes (including the soxS gene itself). An overlapping set of genes is activated by an assortment of structurally unrelated molecules with antibiotic activities; many genes in this response are controlled by the marRAB system. The activation of either the soxRS or the marRAB system results in enhanced resistance to both superoxide-generating agents and multiple antibiotics. In order to probe the extent of these regulatory networks, we have measured whole-genome transcriptional profiles of the E. coli response to the superoxide-generating agent paraquat (PQ), an inducer of the soxRS system, and to the weak acid salt sodium salicylate (NaSal), an inducer of the marRA system. A total of 112 genes was modulated in response to PQ, while 134 genes were modulated in response to NaSal. We have also obtained transcriptional profiles of the SoxS and MarA regulons in the absence of global stress, in order to establish the regulatory hierarchies within the global responses. Several previously unrelated genes were shown to be under SoxS or MarA control. The genetic responses to both environmental insults revealed several common themes, including the activation of genes coding for functions that replenish reducing potential; regulate iron transport and storage; and participate in sugar and amino acid transport, detoxification, protein modification, osmotic protection, and peptidoglycan synthesis. A large number of PQ- and NaSal-responsive genes have no known function, suggesting that many adaptive metabolic changes that ensue after stress remain uncharacterized.

Bacterial Proteins↗

Identification of genome-scale metabolic network models using experimentally measured flux profiles.

Genome-scale metabolic network models can be reconstructed for well-characterized organisms using genomic annotation and literature information. However, there are many instances in which model predictions of metabolic fluxes are not entirely consistent with experimental data, indicating that the reactions in the model do not match the active reactions in the in vivo system. We introduce a method for determining the active reactions in a genome-scale metabolic network based on a limited number of experimentally measured fluxes. This method, called optimal metabolic network identification (OMNI), allows efficient identification of the set of reactions that results in the best agreement between in silico predicted and experimentally measured flux distributions. We applied the method to intracellular flux data for evolved Escherichia coli mutant strains with lower than predicted growth rates in order to identify reactions that act as flux bottlenecks in these strains. The expression of the genes corresponding to these bottleneck reactions was often found to be downregulated in the evolved strains relative to the wild-type strain. We also demonstrate the ability of the OMNI method to diagnose problems in E. coli strains engineered for metabolite overproduction that have not reached their predicted production potential. The OMNI method applied to flux data for evolved strains can be used to provide insights into mechanisms that limit the ability of microbial strains to evolve towards their predicted optimal growth phenotypes. When applied to industrial production strains, the OMNI method can also be used to suggest metabolic engineering strategies to improve byproduct secretion. In addition to these applications, the method should prove to be useful in general for reconstructing metabolic networks of ill-characterized microbial organisms based on limited amounts of experimental data.

Computational Biology↗

High-resolution genomic and expression profiling reveals 105 putative amplification target genes in pancreatic cancer.

Comparative genomic hybridization (CGH) studies have provided a wealth of information on common copy number aberrations in pancreatic cancer, but the genes affected by these aberrations are largely unknown. To identify putative amplification target genes in pancreatic cancer, we performed a parallel copy number and expression survey in 13 pancreatic cancer cell lines using a 12,232-clone cDNA microarray, providing an average resolution of 300 kb throughout the human genome. CGH on cDNA microarray allowed highly accurate mapping of copy number increases and resulted in identification of 24 independent amplicons, ranging in size from 130 kb to 11 Mb. Statistical evaluation of gene copy number and expression data across all 13 cell lines revealed a set of 105 genes whose elevated expression levels were directly attributable to increased copy number. These included genes previously reported to be amplified in cancer as well as several novel targets for copy number alterations, such as p21-activated kinase 4 (PAK4), which was previously shown to be involved in cell migration, cell adhesion, and anchorage-independent growth. In conclusion, our results implicate a set of 105 genes that is likely to be actively involved in the development and progression of pancreatic cancer.

Cell Line, Tumor↗

Immediate-early and delayed cytokinin response genes of Arabidopsis thaliana identified by genome-wide expression profiling reveal novel cytokinin-sensitive processes and suggest cytokinin action through transcriptional cascades.

Cytokinins are hormones that regulate many developmental and physiological processes in plants. Recent work has revealed that the cytokinin signal is transduced by two-component systems to the nucleus where target genes are activated. Most of the rapid transcriptional responses are unknown. We measured immediate-early and delayed cytokinin responses through genome-wide expression profiling with the Affymetrix ATH1 full genome array (Affymetrix Inc., Santa Clara, CA, USA). Fifteen minutes after cytokinin treatment of 5-day-old Arabidopsis seedlings, 71 genes were upregulated and 11 genes were downregulated. Immediate-early cytokinin response genes include a high portion of transcriptional regulators, among them six transcription factors that had previously not been linked to cytokinin. Five plastid transcripts were rapidly regulated as well, indicating a rapid transfer of the signal to plastids or direct perception of the cytokinin signal by plastids. After 2 h of cytokinin treatment genes coding for transcriptional regulators, signaling proteins, developmental and hormonal regulators, primary and secondary metabolism, energy generation and stress reactions were over-represented. A significant number of the responding genes are known to regulate light (PHYA, PSK1, CIP8, PAT1, APRR), auxin (Aux/IAA), ethylene (ETR2, EIN3, ERFs/EREBPs), gibberellin (GAI, RGA1, GA20 oxidase), nitrate (NTR2, NIA) and sugar (STP1, SUS1) dependent processes, indicating intense crosstalk with environmental cues, other hormones and metabolites. Analysis of cytokinin-deficient 35S:AtCKX1 transgenic seedlings has revealed additional, long-lasting cytokinin-sensitive changes of transcript abundance. Comparative overlay-analysis with the software tool mapman identified previously unknown cytokinin-sensitive metabolic genes, for example in the metabolism of trehalose-6-phosphate. Taken together, we present a genome-wide view of changes in cytokinin-responsive transcript abundance of genes that might be functionally relevant for the many biological processes that are governed by cytokinins.

Arabidopsis↗

Detrended fluctuation analysis of genome-wide copy number profiles of glioblastomas using array-based comparative genomic hybridization.

We examined whole genomic aberrations of biopsied samples from 19 independent glioblastomas by array-based comparative genomic hybridization analysis. The highest frequencies of copy number gains were observed on RFC2 (73.3%), EGFR (63.2%), and FGR, ELN, CDKN1C , FES, TOP2A, and ARSA (57.9% each). The highest frequencies of copy number losses were detected on TBR1 (52.6%), BMI1 (52.6%), EGR2 (47.4%), DMBT1 (47.4%), MTAP (42.1%), and FGFR2 (42.1%). The copy number gains of CDKN1C and INS and the copy number losses of TBR1 were significantly correlated with longer survival of patients. High-level amplifications were identified on EGFR, SAS/CDK4, PDGFRA, MDM2, and ARSA. These genes are assumed to be involved in tumorigenesis or progression of glioblastomas. The first attempts to apply detrended fluctuation analysis to copy number profiles by considering the reading direction as the time axis demonstrated that higher long-term fractal scaling exponents (alpha2) correlated well with longer survival of glioblastoma patients. The present study indicates that array-based comparative genomic hybridization analysis has great potential for assessment of copy number changes and altered chromosomal regions of brain tumors. Furthermore, we show that nonlinear analysis methods of whole genome copy number profiles may provide prognostic information about glioblastoma patients.

Adult↗

Global genomic and antimicrobial resistance profiling of Neisseria gonorrhoeae: Insights from whole genome sequencing and minimum inhibitory concentration analysis.

BACKGROUND: The rising antimicrobial resistance (AMR) of Neisseria gonorrhoeae is a major global health concern that limits treatment options and complicates disease management. Efflux pump systems and resistance genes are key to bacteria's ability to evade antibiotics. This study examined the genetic and phenotypic resistance landscape using a large dataset of whole-genome sequences to identify key resistance mechanisms, assess efflux pump gene prevalence, and analyze regional variations in Minimum Inhibitory Concentration (MIC) values to inform treatment strategies and public health interventions. METHODS: A total of 38,585 whole-genome sequences of N. gonorrhoeae were analyzed to identify AMR determinants. This study focused on the presence and distribution of efflux pump genes (mtrC, farB, norM, and mtrA) and specific resistance genes, including tet(C) (tetracycline resistance) and aph(3')-Ia (aminoglycoside resistance). The MIC values were assessed for multiple antibiotics to evaluate resistance trends and regional variations, including penicillin, spectinomycin, zoliflodacin, gentamicin, and fluoroquinolones. RESULTS: This analysis revealed widespread resistance to multiple antibiotics. Efflux pump genes (mtrC, farB, norM, and mtrA) were found in nearly all isolates, highlighting their essential roles in resistance and adaptation. The presence of tet(C) and aph (3')-Ia varied across different Gene Presence Patterns, suggesting that regional or therapeutic factors may influence tetracycline and aminoglycoside resistance. High MIC values for penicillin were observed, likely because of blaTEM, a beta-lactamase gene responsible for beta-lactam resistance. Resistance to spectinomycin is also widespread, raising concerns about the diminishing efficacy of this antibiotic. In contrast, zoliflodacin, gentamicin, and fluoroquinolones exhibited relatively low MIC values, indicating their sustained effectiveness against N. gonorrhoeae. DISCUSSION: Efflux pump systems are key to N. gonorrhoeae resistance and adaptability. Regional MIC variations indicate that local antibiotic use shapes resistance patterns. The high resistance to penicillin and spectinomycin highlights the need for alternative treatments, whereas zoliflodacin and fluoroquinolones remain effective but require monitoring. This study emphasizes global AMR surveillance, novel therapies, and targeted antimicrobial stewardship to address multidrug-resistant infections.

Neisseria gonorrhoeae↗

Genome-wide expression profile of human trabecular meshwork cultured cells, nonglaucomatous and primary open angle glaucoma tissue.

PURPOSE: To contrast genome-wide gene expression profiles of cultured human trabecular meshwork (HTM) cells to that of control and primary open angle glaucoma (POAG) HTM tissues. METHODS: Cultured HTM cells, HTM tissue dissected from control donors, and HTM tissue from POAG donors receiving medication for glaucoma were fixed in RNA latertrade mark. Total RNA extracted from these samples was linearly amplified with the Ovation Biotin RNA Amplification and Labeling System and individually hybridized to Affymetrix Human Genome U133 Plus 2.0 high density microarrays. Data analysis was performed using GeneSpring Software 7.0. Selected genes showing significant differential expression were validated by quantitative real-time PCR in nonamplified RNA. RESULTS: Cultured HTM cells retained the expression of some genes characteristic of HTM tissue, including chitinase 3-like 1 and matrix Gla protein, but demonstrated downregulation of physiologically important genes such as myocilin. POAG HTM tissue showed relatively small changes compared to that of control donors. These changes included the statistically significant upregulation of several genes associated with inflammation and acute-phase response, including selectin-E (ELAM-I), as well as the downregulation of the antioxidants paraoxonase 3 and ceruloplasmin. CONCLUSIONS: Downregulation in cultured HTM cells of genes potentially relevant for outflow pathway function highlights the importance of developing new conditions for the culture of TM cells capable of preserving the characteristics of TM cells in vivo. Comparative analysis between control and POAG tissues suggests that the upregulation of inflammation-associated genes might be involved in the progression of glaucoma.

Case-Control Studies↗

An integrated global resource of wetland microbiomes linking environmental metadata, community profiles, and genome-resolved metabolic traits.

Wetlands are biogeochemical hotspots pivotal to global carbon and nutrient cycling, yet genome-resolved studies across diverse wetland types remain limited. To address this, we constructed a global wetland metagenomic dataset, integrating environmental metadata, community profiles, and genome-resolved metabolic traits. This dataset comprises 1,962 samples-including 129 newly sequenced field-collected samples-from lakes, rivers, paddies, marshes, and coastal wetlands, spanning water, soil, and sediment habitats. We generated comprehensive taxonomic profiles for all 1,962 samples, and used 251 samples to reconstruct 5,704 sample-specific metagenome-assembled genomes (MAGs). These MAGs were subsequently dereplicated to establish a normalized, non-redundant catalog of 4,164 representative genomes. We further mapped gene repertoires to 549 KEGG modules to decode the metabolic potential of all 5,704 MAGs. This dataset depicts an overview of microbial genomic diversity across global wetlands and provides a comprehensive resource for understanding the metabolic capabilities, ecology, and evolution of wetland microbiomes.

Wetlands↗

Emergence and spread of a new clone of M type 1 group A Streptococcus coincident with the increase in invasive diseases in Japan.

BACKGROUND: In Japan invasive group A streptococcal infections such as sepsis and toxic shock syndrome (TSS) have increased since 1992. As is the case in the United States and Europe, M1 serotype is predominant among the isolates from Japanese patients. METHODS: By restriction enzyme digestion and pulsed field gel electrophoresis, we investigated the whole genomic DNA profiles of 95 M type 1 group A streptococcal strains isolated from patients with serious diseases including sepsis, toxic shock syndrome, necrotizing fasciitis and nonsuppurative complications and with uncomplicated pharyngitis during 1979 through 1996 in Japan. RESULTS: The genome profiles among 8 of 10 isolates from patients with serious diseases in 1979 through 1991 were all the same and were shared by the profiles of the 35 of 48 isolates from patients with uncomplicated pharyngitis in 1982 through 1991. All 18 strains isolated from patients with invasive diseases in 1992 to 1996 had a unique profile, which was shared by the profiles of 18 of 19 isolates from uncomplicated pharyngitis during the same period. This genomic profile was distinct from the predominant or any other profiles before 1992, and it was found to be a new clone. CONCLUSIONS: The emergence and spread of this new clone of M type 1 Streptococcus after 1991 may be associated with the increase in invasive streptococcal infections that occurred during the same period in Japan. Genomic profiles as well as serotypes of streptococcal isolates are important for the epidemiology of clinical relevance in streptococcal diseases.

Child↗