Cargando…
Genetically diverse mice are novel and valuable models of age-associated susceptibility to Mycobacterium tuberculosis
BACKGROUND: Tuberculosis, the disease due to Mycobacterium tuberculosis, is an important cause of morbidity and mortality in the elderly. Use of mouse models may accelerate insight into the disease and tests of therapies since mice age thirty times faster than humans. However, the majority of TB res...
Autores principales: | Harrison, David E, Astle, Clinton M, Niazi, M Khalid Khan, Major, Samuel, Beamer, Gillian L |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4299371/ https://www.ncbi.nlm.nih.gov/pubmed/25606048 http://dx.doi.org/10.1186/s12979-014-0024-6 |
Ejemplares similares
-
Lung necrosis and neutrophils reflect common pathways of susceptibility to Mycobacterium tuberculosis in genetically diverse, immune-competent mice
por: Niazi, Muhammad K. K., et al.
Publicado: (2015) -
Deep learning predicts gene expression as an intermediate data modality to identify susceptibility patterns in Mycobacterium tuberculosis infected Diversity Outbred mice
por: Tavolara, Thomas E., et al.
Publicado: (2021) -
Automatic discovery of clinically interpretable imaging biomarkers for Mycobacterium tuberculosis supersusceptibility using deep learning
por: Tavolara, Thomas E., et al.
Publicado: (2020) -
Characterization of the genetic diversity of Mycobacterium tuberculosis in São Paulo city, Brazil
por: Mendes, Natália H, et al.
Publicado: (2011) -
CXCL1: A new diagnostic biomarker for human tuberculosis discovered using Diversity Outbred mice
por: Koyuncu, Deniz, et al.
Publicado: (2021)