Back to search

Article

Gene expression models based on a reference laboratory strain are bad predictors of <i>Mycobacterium tuberculosis</i> complex transcriptional diversity

2016-12-02

Abstract excerpt

<h4>ABSTRACT</h4> Species of the Mycobacterium tuberculosis complex (MTBC) kill more people every year than any other infectious disease. As a consequence of its global distribution and parallel evolution with the human host the bacteria is not genetically homogeneous. The observed genetic heterogeneity has relevance at different phenotypic levels, from gene expression to epidemiological dynamics. However curren...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
7719db1d-c872-5779-b63d-b57830284722
DOI
10.1101/091082
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Gene expression models based on a reference laboratory strain are bad predictors of <i>Mycobacterium tuberculosis</i> complex transcriptional diversityDOI 10.1101/091082
Gene expression models based on a reference laboratory strain are poor predictors of Mycobacterium tuberculosis complex transcriptional diversity.Semantic proximity
Evolution of <i>Mycobacterium tuberculosis</i> transcription regulation is associated with increased transmission and drug resistanceSemantic proximity
Rv1985c-Driven Transcriptional Network Rewiring Underlies Lineage-Specific Phenotypes in <i>Mycobacterium tuberculosis</i>Semantic proximity
Gene expression diversity among Mycobacterium tuberculosis clinical isolates.Semantic proximity
Machine learning of all <i>Mycobacterium tuberculosis</i> H37Rv RNA-seq data reveals a structured interplay between metabolism, stress response, and infectionSemantic proximity
Functional genetic diversity among Mycobacterium tuberculosis complex clinical isolates: delineation of conserved core and lineage-specific transcriptomes during intracellular survival.Semantic proximity
Reference Set of <i>Mycobacterium tuberculosis</i> Clinical Strains: A tool for research and product developmentSemantic proximity
Evaluation of the role of <i>whiB6</i> and <i>kdpDE</i> in the dominant multidrug resistant clone <i>Mycobacterium tuberculosis</i> B0/W148Semantic proximity
Canonical pathways, networks and transcriptional factor regulation by clinical strains of Mycobacterium tuberculosis in pulmonary alveolar epithelial cellsSemantic proximity
Stress-responsive <i>Mycobacterium tuberculosis</i> subpopulations manipulate macrophage polarization and can be targeted to limit inflammationSemantic proximity
Learning from the genome sequence of <i>Mycobacterium tuberculosis</i> H37RvSemantic proximity
Predicting bacterial fitness in Mycobacterium tuberculosis with transcriptional regulatory network-informed interpretable machine learningSemantic proximity
Select a neighboring publication to make it the new centre.