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Identifying genetic susceptibility to Aspergillus fumigatus infection using collaborative cross mice and RNA-Seq approach.
Yosief, Roa'a H S; Lone, Iqbal M; Nachshon, Aharon; Himmelbauer, Heinz; Gat-Viks, Irit; Iraqi, Fuad A.
Affiliation
  • Yosief RHS; Department of Clinical Microbiology and Immunology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.
  • Lone IM; Department of Clinical Microbiology and Immunology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.
  • Nachshon A; School of Molecular Cell Biology and Biotechnology, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.
  • Himmelbauer H; Institute of Computational Biology, Department of Biotechnology, University of Natural Resources and Life Sciences, Muthgasse 18, 1190 Vienna, Austria.
  • Gat-Viks I; School of Molecular Cell Biology and Biotechnology, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.
  • Iraqi FA; Department of Clinical Microbiology and Immunology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.
Animal Model Exp Med ; 7(1): 36-47, 2024 Feb.
Article in En | MEDLINE | ID: mdl-38356021
ABSTRACT

BACKGROUND:

Aspergillus fumigatus (Af) is one of the most ubiquitous fungi and its infection potency is suggested to be strongly controlled by the host genetic background. The aim of this study was to search for candidate genes associated with host susceptibility to Aspergillus fumigatus (Af) using an RNAseq approach in CC lines and hepatic gene expression.

METHODS:

We studied 31 male mice from 25 CC lines at 8 weeks old; the mice were infected with Af. Liver tissues were extracted from these mice 5 days post-infection, and next-generation RNA-sequencing (RNAseq) was performed. The GENE-E analysis platform was used to generate a clustered heat map matrix.

RESULTS:

Significant variation in body weight changes between CC lines was observed. Hepatic gene expression revealed 12 top prioritized candidate genes differentially expressed in resistant versus susceptible mice based on body weight changes. Interestingly, three candidate genes are located within genomic intervals of the previously mapped quantitative trait loci (QTL), including Gm16270 and Stox1 on chromosome 10 and Gm11033 on chromosome 8.

CONCLUSIONS:

Our findings emphasize the CC mouse model's power in fine mapping the genetic components underlying susceptibility towards Af. As a next step, eQTL analysis will be performed for our RNA-Seq data. Suggested candidate genes from our study will be further assessed with a human cohort with aspergillosis.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Aspergillosis / Collaborative Cross Mice Type of study: Prognostic_studies Limits: Animals / Humans / Male Language: En Journal: Animal Model Exp Med Year: 2024 Type: Article Affiliation country: Israel

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Aspergillosis / Collaborative Cross Mice Type of study: Prognostic_studies Limits: Animals / Humans / Male Language: En Journal: Animal Model Exp Med Year: 2024 Type: Article Affiliation country: Israel