Literature DB >> 12626093

H. influenzae Consortium: integrative study of H. influenzae-human interactions.

Eugene Kolker1, Samuel Purvine, Alex Picone, Tim Cherny, Brian J Akerley, Robert S Munson, Bernhard O Palsson, Dayle A Daines, Arnold L Smith.   

Abstract

Developments in high-throughput analysis tools coupled with integrative computational techniques have enabled biological studies to reach new levels. The ability to correlate large volumes of diverse data types into cohesive models of organism function has spawned a new systematic approach to biological investigation. The creation of a new consortium has been proposed to investigate a single organism utilizing these comprehensive approaches. The Haemophilus influenzae Consortium (HIC) would be comprised of five laboratories, each providing separate and complementary areas of expertise in the study of Haemophilus influenzae (HI). The 5-year study proposes to develop coherent models of HI, both as a stand-alone organism, and more importantly, as a human pathogen. Studies in growth condition specificity followed by genomic, metabolic, and proteomic experimentation will be combined and integrated through computational and experimental analyses to form dynamic and predictive models of HI and its responses. Data from the HIC will allow greater understanding of cellular behavior, pathogen-host interactions, bacterial infection, and provide future scientific endeavors with a template for studies of other pathogens.

Entities:  

Mesh:

Year:  2002        PMID: 12626093     DOI: 10.1089/153623102321112764

Source DB:  PubMed          Journal:  OMICS        ISSN: 1536-2310


  2 in total

1.  Initial proteome analysis of model microorganism Haemophilus influenzae strain Rd KW20.

Authors:  Eugene Kolker; Samuel Purvine; Michael Y Galperin; Serg Stolyar; David R Goodlett; Alexey I Nesvizhskii; Andrew Keller; Tao Xie; Jimmy K Eng; Eugene Yi; Leroy Hood; Alex F Picone; Tim Cherny; Brian C Tjaden; Andrew F Siegel; Thomas J Reilly; Kira S Makarova; Bernhard O Palsson; Arnold L Smith
Journal:  J Bacteriol       Date:  2003-08       Impact factor: 3.490

2.  Identification and functional analysis of 'hypothetical' genes expressed in Haemophilus influenzae.

Authors:  Eugene Kolker; Kira S Makarova; Svetlana Shabalina; Alex F Picone; Samuel Purvine; Ted Holzman; Tim Cherny; David Armbruster; Robert S Munson; Grigory Kolesov; Dmitrij Frishman; Michael Y Galperin
Journal:  Nucleic Acids Res       Date:  2004-04-30       Impact factor: 16.971

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.