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)

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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
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article

Save the mouse! Non-lethal, repeated blood transcriptome profiling in murine disease models 3386

Mikhail Makhanov, Shivraj M. Yabaji, Kitt Paraiso, Dongfang Hu et al.
The Journal of Immunology
Molecular Biology Techniques and Applications
article

Save the mouse! Non-lethal, repeated blood transcriptome profiling in murine disease models 3386

Mikhail Makhanov, Shivraj M. Yabaji, Kitt Paraiso, Dongfang Hu, Khadija Ghias, Igor Kramnik, Lester Kobzik, Alex Chenchik, Paul Diehl
article en

Abstract

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)

The Journal of ImmunologyVol. 214(Supplement_1)
Boston University (US), National University of Computer and Emerging Sciences (PK), Cellecta (United States) (US)
Openalex Percentile: Top 68%
Molecular Biology Techniques and Applications
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