Save the mouse! Non-lethal, repeated blood transcriptome profiling in murine disease models 3386
Abstract Description Murine disease models can reveal mechanisms and allow testing of drug/vaccine interventions. Current approaches often rely on evaluation after euthanasia, with large numbers of animals needed for time course and dose-response studies. Measuring blood transcriptome biomarkers in small volumes (serially) could provide useful insights and reduce the number of animals needed. We evaluated the utility of repeated (non-lethal) small-volume blood sampling for profiling RNA expression in the same mice at different stages of tuberculosis progression and treatment: 1) before infection (day 0), 2) at the peak of infection (d30 after infection), 3) after 10 weeks of isoniazid (INH) treatment (days 30-99 post-infection), and 4) after partial INH treatment (days 30-70 post-infection) to allow relapse (days 70 – 99 post-infection). We isolated RNA from 100 uL of whole blood for transcriptome profiling using the DriverMap™ assay for quantitation of ∼4700 key mouse genes using a targeted sequencing panel. Blood transcriptome profiling showed abundant up-regulation of immune and inflammatory genes at d30 after infection (e.g. 571DEGs). Additional changes were found after either complete or partial INH treatment (e.g. complete vs d30 after infection: 321DEGs). The data reveal heterogeneity in responses & allow comparisons using each mouse as its own control. Transcriptome profiling using non-terminal, serial blood samples can inform biomarker discovery/monitoring & reduce animal use & costs. Topic Categories Technological Innovations in Immunology (TECH)
Authors
- Mikhail Makhanov
- Shivraj M. Yabaji (ORCID: https://orcid.org/0000-0002-5793-1661)
- Kitt Paraiso (ORCID: https://orcid.org/0000-0002-6489-810X)
- Dongfang Hu (ORCID: https://orcid.org/0000-0001-9563-5807)
- Khadija Ghias
- Igor Kramnik (ORCID: https://orcid.org/0000-0001-6511-9246)
- Lester Kobzik (ORCID: https://orcid.org/0000-0003-4328-937X)
- Alex Chenchik
- Paul Diehl
Institutions
- Boston University (US)
- National University of Computer and Emerging Sciences (PK)
- Cellecta (United States) (US)
Publication Details
- Journal
- The Journal of Immunology
- Published
- 2025-11-01
- DOI
- https://doi.org/10.1093/jimmun/vkaf283.1197
- Primary Topic
- Molecular Biology Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00