Gene expression profiling in a mouse model for African trypanosomiasis
Open accessAbstract
This study aimed to provide the foundation for an integrative approach to the identification of the mechanisms underlying the response to infection with Trypanosoma congolense, and to identify pathways that have previously been overlooked. We undertook a large-scale gene expression analysis study comparing susceptible A/J and more tolerant C57BL/6 mice. In an initial time course experiment, we monitored the development of parasitaemia and anaemia in every individual. Based on the kinetics of disease progression, we extracted total RNA from liver at days 0, 4, 7, 10 and 17 post infection and performed a microarray analysis. We identified 64 genes that were differentially expressed in the two strains in non-infected animals, of which nine genes remained largely unaffected by the disease. Gene expression profiling at stages of low, peak, clearance and recurrence of parasitaemia suggest that susceptibility is associated with high expression of genes coding for chemokines (e.g. Ccl24, Ccl27 and Cxcl13), complement components (C1q and C3) and interferon receptor alpha (Ifnar1). Additionally, susceptible A/J mice expressed higher levels of some potassium channel genes. In contrast, messenger RNA levels of a few immune response, metabolism and protease genes (e.g. Prss7 and Mmp13) were higher in the tolerant C57BL/6 strain as compared to A/J.
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Kierstein et al. (2006) reported that a trypanotolerant mouse strain showed overexpression of several genes encoding proteases.
“In agreement with our finding, Kierstein et al. (2006) reported that a trypanotolerant mouse strain showed overexpression of several genes encoding proteases.”
From Identification of Candidate Signature Genes and Key Regulators Associated With Trypanotolerance in the Sheko Breed (2019) · cites this paper as Kierstein et al., 2006
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Mekonnen, Y. A., Gültas, M., Effa, K., Hanotte, O., & Schmitt, A. O. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.01095 · Cited by 37 · see citing works
- Authors
- Kierstein, S., Noyes, H., Naessens, J., Nakamura, Y., Pritchard, C., Gibson, J., Kemp, S., & Brass, A.
- Affiliations
- International Livestock Research Institute (KE)
- University of Liverpool (GB)
- Japan International Research Center for Agricultural Sciences (JP)
- Mary Lyon Centre at MRC Harwell (GB)
- University of Manchester (GB)
- Corresponding author
- Kierstein, S
- Venue
- Genes & Immunity
- Published
- 2006-10-26
- Volume
- 7
- Issue
- 8
- Pages
- 667-679
- ISSN
- 1466-4879 (ISSN-L)
- 1476-5470
- PMC
- PMC1991335
- OpenAlex
- W2100517828
- Cited by
- 22
- References
- 0
- Citations by year
- 2023: 1 · 2022: 1 · 2021: 1 · 2020: 1 · 2019: 2 · 2018: 2 · 2014: 1 · 2013: 1
- FWCI
- 2.21
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Genes and Immunity (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- EPubDev Repository (submittedVersion)
- CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research) (submittedVersion)
- Research Explorer (The University of Manchester) (submittedVersion)
- RUNE (Research UNE) (submittedVersion)
- Funders
- Wellcome Trust (066764)
- Deutsche Forschungsgemeinschaft
- Medical Research Council
- Topics
- Health Sciences › Medicine › Epidemiology › Trypanosoma species research and implications
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Research on Leishmaniasis Studies
- Life Sciences › Immunology and Microbiology › Immunology › Invertebrate Immune Response Mechanisms
- Keywords
- sleeping sickness, Trypanosoma congolense, gene expression profiling, host susceptibility, A/J mice, C57BL/6 mice, parasitemia, anemia, chemokines, complement system, potassium channels, liver transcriptome, host-parasite interactions
- MeSH terms
- Animals, Gene Expression Regulation, Liver, Mice, Inbred C57BL, Time Factors, Trypanosoma congolense, Trypanosomiasis, African, Cluster Analysis, Reverse Transcriptase Polymerase Chain Reaction, Gene Expression Profiling, Microarray Analysis, Mice
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