scholarly journals Toward a Genome-Wide Systems Biology Analysis of Host-Pathogen Interactions in Group A Streptococcus

2005 ◽  
Vol 167 (6) ◽  
pp. 1461-1472 ◽  
Author(s):  
James M. Musser ◽  
Frank R. DeLeo
2018 ◽  
Author(s):  
Luchang Zhu ◽  
Randall J. Olsen ◽  
Stephen B. Beres ◽  
Jesus M. Eraso ◽  
Matthew Ojeda Saavedra ◽  
...  

ABSTRACTNecrotizing fasciitis and myositis are devastating infections characterized by high mortality. Group A streptococcus (GAS) is a common cause of these infections, but the molecular pathogenesis is poorly understood. We report a genome-wide analysis using serotype M1 and M28 strains that identified novel GAS genes contributing to necrotizing myositis in nonhuman primates (NHP), a clinically relevant model. Using transposon directed insertion-site sequencing (TraDIS) we identified 126 and 116 GAS genes required for infection by serotype M1 and M28 organisms, respectively. For both M1 and M28 strains, more than 25% of the GAS genes required for necrotizing myositis encode known or putative transporters. Thirteen GAS transporters contributed to both M1 and M28 strain fitness in NHP myositis, including putative importers for amino acids, carbohydrates, and vitamins, and exporters for toxins, quorum sensing peptides, and uncharacterized molecules. Targeted deletion of genes encoding five transporters confirmed that each isogenic mutant strain was significantly impaired in causing necrotizing myositis in NHPs. qRT-PCR analysis showed that these five genes are expressed in infected NHP and human skeletal muscle. Certain substrate-binding lipoproteins of these transporters, such as Spy0271 and Spy1728, were previously documented to be surface-exposed, suggesting that our findings have translational research implications.


PLoS ONE ◽  
2009 ◽  
Vol 4 (11) ◽  
pp. e7668 ◽  
Author(s):  
Nataly Perez ◽  
Jeanette Treviño ◽  
Zhuyun Liu ◽  
Siu Chun Michael Ho ◽  
Paul Babitzke ◽  
...  

2001 ◽  
Vol 107 (4) ◽  
pp. 393-399 ◽  
Author(s):  
Sean D. Reid ◽  
Nancy P. Hoe ◽  
Laura M. Smoot ◽  
James M. Musser

2020 ◽  
Author(s):  
Sruti DebRoy ◽  
Victor Aliaga‐Tobar ◽  
Gabriel Galvez ◽  
Srishtee Arora ◽  
Xiaowen Liang ◽  
...  

2019 ◽  
Vol 3 (4) ◽  
pp. 371-378
Author(s):  
Joshua M. Peters ◽  
Sydney L. Solomon ◽  
Christopher Y. Itoh ◽  
Bryan D. Bryson

Abstract Interactions between pathogens and their hosts can induce complex changes in both host and pathogen states to privilege pathogen survival or host clearance of the pathogen. To determine the consequences of specific host–pathogen interactions, a variety of techniques in microbiology, cell biology, and immunology are available to researchers. Systems biology that enables unbiased measurements of transcriptomes, proteomes, and other biomolecules has become increasingly common in the study of host–pathogen interactions. These approaches can be used to generate novel hypotheses or to characterize the effects of particular perturbations across an entire biomolecular network. With proper experimental design and complementary data analysis tools, high-throughput omics techniques can provide novel insights into the mechanisms that underlie processes from phagocytosis to pathogen immune evasion. Here, we provide an overview of the suite of biochemical approaches for high-throughput analyses of host–pathogen interactions, analytical frameworks for understanding the resulting datasets, and a vision for the future of this exciting field.


2011 ◽  
Vol 366 (1575) ◽  
pp. 2247-2259 ◽  
Author(s):  
Sui Huang

Stem cell behaviours, such as stabilization of the undecided state of pluripotency or multipotency, the priming towards a prospective fate, binary fate decisions and irreversible commitment, must all somehow emerge from a genome-wide gene-regulatory network. Its unfathomable complexity defies the standard mode of explanation that is deeply rooted in molecular biology thinking: the reduction of observables to linear deterministic molecular pathways that are tacitly taken as chains of causation. Such culture of proximate explanation that uses qualitative arguments, simple arrow–arrow schemes or metaphors persists despite the ceaseless accumulation of ‘omics’ data and the rise of systems biology that now offers precise conceptual tools to explain emergent cell behaviours from gene networks. To facilitate the embrace of the principles of physics and mathematics that underlie such systems and help to bridge the gap between the formal description of theorists and the intuition of experimental biologists, we discuss in qualitative terms three perspectives outside the realm of their familiar linear-deterministic view: (i) state space (ii), high-dimensionality and (iii) heterogeneity. These concepts jointly offer a new vista on stem cell regulation that naturally explains many novel, counterintuitive observations and their inherent inevitability, obviating the need for ad hoc explanations of their existence based on natural selection. Hopefully, this expanded view will stimulate novel experimental designs.


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