Literature DB >> 11755425

Gene array technology to determine host responses to Salmonella.

C M Rosenberger1, A J Pollard, B B Finlay.   

Abstract

Gene expression array technology is a powerful new tool that has already been used to expand our understanding of host-pathogen interactions. There has been a rapid increase in published reports describing use of this approach to profile host responses to pathogenic bacteria and viruses. The large number of array studies currently in progress coupled with increasing accessibility of this new technology promises a plethora of gene expression data on host response to infection in the near future. Recent insights into macrophage and epithelial cell responses to Salmonella infection garnered from array studies are outlined and used as a basis to discuss various future research directions using gene arrays that will advance the field of cellular microbiology. There is an exciting potential for the gene expression data generated in such studies to provide insights into host physiology, the pathophysiology of disease and novel therapeutics.

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Year:  2001        PMID: 11755425     DOI: 10.1016/s1286-4579(01)01497-6

Source DB:  PubMed          Journal:  Microbes Infect        ISSN: 1286-4579            Impact factor:   2.700


  10 in total

1.  Salmonella enterica Serovar Typhimurium infection of dendritic cells leads to functionally increased expression of the macrophage-derived chemokine.

Authors:  Guo Fu; Odilia L C Wijburg; Paul U Cameron; Jason D Price; Richard A Strugnell
Journal:  Infect Immun       Date:  2005-03       Impact factor: 3.441

2.  Development of a macroarray to specifically analyze immunological gene expression in swine.

Authors:  Terence N Ledger; Philippe Pinton; Dorothée Bourges; Patrick Roumi; Henri Salmon; Isabelle P Oswald
Journal:  Clin Diagn Lab Immunol       Date:  2004-07

3.  Gene expression profiling of the local cecal response of genetic chicken lines that differ in their susceptibility to Campylobacter jejuni colonization.

Authors:  Xianyao Li; Christina L Swaggerty; Michael H Kogut; Hsin-I Chiang; Ying Wang; Kenneth J Genovese; Haiqi He; Huaijun Zhou
Journal:  PLoS One       Date:  2010-07-28       Impact factor: 3.240

4.  Comparative in vivo infection models yield insights on early host immune response to Campylobacter in chickens.

Authors:  Kieran G Meade; Fernando Narciandi; Sarah Cahalane; Carla Reiman; Brenda Allan; Cliona O'Farrelly
Journal:  Immunogenetics       Date:  2008-12-12       Impact factor: 2.846

5.  Novel program of macrophage gene expression induced by phagocytosis of Leishmania chagasi.

Authors:  Nilda E Rodriguez; Haeok K Chang; Mary E Wilson
Journal:  Infect Immun       Date:  2004-04       Impact factor: 3.441

6.  Differential gene expression profiling of porcine epithelial cells infected with three enterotoxigenic Escherichia coli strains.

Authors:  Chuanli Zhou; Zhengzhu Liu; Jicai Jiang; Ying Yu; Qin Zhang
Journal:  BMC Genomics       Date:  2012-07-23       Impact factor: 3.969

7.  Alteration of gene expression profiles during mycoplasma-induced malignant cell transformation.

Authors:  Shimin Zhang; Shien Tsai; Shyh-Ching Lo
Journal:  BMC Cancer       Date:  2006-05-04       Impact factor: 4.430

8.  Analysis of Gene Expression Responses to a Salmonella Infection in Rugao Chicken Intestine Using GeneChips.

Authors:  D Q Luan; G B Chang; Z W Sheng; Y Zhang; W Zhou; Z Z Li; Y Liu; G H Chen
Journal:  Asian-Australas J Anim Sci       Date:  2012-02-01       Impact factor: 2.509

Review 9.  Salmonella-host interactions - modulation of the host innate immune system.

Authors:  Daniel Hurley; Matthew P McCusker; Séamus Fanning; Marta Martins
Journal:  Front Immunol       Date:  2014-10-07       Impact factor: 7.561

10.  Gene expression profiling in chicken heterophils with Salmonella enteritidis stimulation using a chicken 44 K Agilent microarray.

Authors:  Hsin-I Chiang; Christina L Swaggerty; Michael H Kogut; Scot E Dowd; Xianyao Li; Igal Y Pevzner; Huaijun Zhou
Journal:  BMC Genomics       Date:  2008-11-06       Impact factor: 3.969

  10 in total

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