Literature DB >> 11957108

Infectomics: genomics and proteomics of microbial infections.

Sheng-He Huang1, Timothy Triche, Ambrose Y Jong.   

Abstract

The completion of genomic sequences is the greatest triumph of molecular reductionism since the discovery of the DNA double helix in 1953. However, the utility of reductionism is becoming limited and holistic approaches, including theories and techniques, are desperately needed in the postgenomic era. In the field of infectious diseases there is an urgent need for global approaches that can efficiently, precisely and integratively study structural and functional genomics and proteomics of microbial infections (infectomics). The combination of new (e.g. DNA and protein microarrays) and traditional approaches (e.g. cloning, PCR, gene knockout and knockin, and antisense) will help overcome the challenges we are facing today. We assume that the global phenotypic changes (infectomes) in microbes and their host during infections are encoded by the genomes of microbial pathogens and their hosts, expressed in certain environmental conditions devoted to specific microbe-host interactions. Global drug responses (pharmacomes) in microbes and their host can be detected by genomic and proteomic approaches. Genome-wide approaches to genotyping and phenotyping or expression profiling will eventually lead to global dissection of microbial pathogenesis, efficient and rapid diagnosis of infectious diseases, and the development of novel strategies to control infections. The key fundamental issue of infectious diseases is how to globally and integratively understand the interactions between microbial pathogens and their hosts by using infectomics. In this review, we focus on the events that are considered important in infectomics.

Entities:  

Mesh:

Substances:

Year:  2002        PMID: 11957108     DOI: 10.1007/s10142-002-0048-4

Source DB:  PubMed          Journal:  Funct Integr Genomics        ISSN: 1438-793X            Impact factor:   3.410


  13 in total

1.  Surface proteome mining for identification of potential vaccine candidates against Campylobacter jejuni: an in silico approach.

Authors:  Kusum Mehla; Jayashree Ramana
Journal:  Funct Integr Genomics       Date:  2016-10-24       Impact factor: 3.410

Review 2.  Cellular and bacterial profiles associated with oral epithelium-microbiota interactions.

Authors:  Jeffrey J Mans; Erik L Hendrickson; Murray Hackett; Richard J Lamont
Journal:  Periodontol 2000       Date:  2010-02       Impact factor: 7.589

3.  Functional genomics of human bronchial epithelial cells directly interacting with conidia of Aspergillus fumigatus.

Authors:  Pol Gomez; Tillie L Hackett; Margo M Moore; Darryl A Knight; Scott J Tebbutt
Journal:  BMC Genomics       Date:  2010-06-04       Impact factor: 3.969

Review 4.  Translational research in infectious disease: current paradigms and challenges ahead.

Authors:  Judith M Fontana; Elizabeth Alexander; Mirella Salvatore
Journal:  Transl Res       Date:  2012-01-15       Impact factor: 7.012

5.  Transcriptome Profiles of Human Lung Epithelial Cells A549 Interacting with Aspergillus fumigatus by RNA-Seq.

Authors:  Fangyan Chen; Changjian Zhang; Xiaodong Jia; Shuo Wang; Jing Wang; Yong Chen; Jingya Zhao; Shuguang Tian; Xuelin Han; Li Han
Journal:  PLoS One       Date:  2015-08-14       Impact factor: 3.240

Review 6.  A survey of computational tools for downstream analysis of proteomic and other omic datasets.

Authors:  Anis Karimpour-Fard; L Elaine Epperson; Lawrence E Hunter
Journal:  Hum Genomics       Date:  2015-10-28       Impact factor: 4.639

7.  Microarray and real-time RT-PCR analyses of differential human gene expression patterns induced by severe acute respiratory syndrome (SARS) coronavirus infection of Vero cells.

Authors:  W F Leong; H C Tan; E E Ooi; D R Koh; Vincent T K Chow
Journal:  Microbes Infect       Date:  2005-01-22       Impact factor: 2.700

8.  Transcriptomic and proteomic analyses of rhabdomyosarcoma cells reveal differential cellular gene expression in response to enterovirus 71 infection.

Authors:  Wai Fook Leong; Vincent T K Chow
Journal:  Cell Microbiol       Date:  2006-04       Impact factor: 3.715

9.  Infectomic analysis of gene expression profiles of human brain microvascular endothelial cells infected with Cryptococcus neoformans.

Authors:  Ambrose Jong; Chun-Hua Wu; Wensheng Zhou; Han-Min Chen; Sheng-He Huang
Journal:  J Biomed Biotechnol       Date:  2008

10.  Focal point theory models for dissecting dynamic duality problems of microbial infections.

Authors:  S-H Huang; W Zhou; A Jong
Journal:  J Biomed Biotechnol       Date:  2008
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.