10.6084/m9.figshare.c.3628568_D1.v1
Isobella Honeyborne
Isobella
Honeyborne
Timothy McHugh
Timothy
McHugh
Iitu Kuittinen
Iitu
Kuittinen
Anna Cichonska
Anna
Cichonska
Dimitrios Evangelopoulos
Dimitrios
Evangelopoulos
Katharina Ronacher
Katharina
Ronacher
Paul van Helden
Paul van
Helden
Stephen Gillespie
Stephen
Gillespie
Delmiro Fernandez-Reyes
Delmiro
Fernandez-Reyes
Gerhard Walzl
Gerhard
Walzl
Juho Rousu
Juho
Rousu
Philip Butcher
Philip
Butcher
Simon Waddell
Simon
Waddell
Additional file 5: of Profiling persistent tubercule bacilli from patient sputa during therapy predicts early drug efficacy
Springer Nature
2016
Mycobacterium tuberculosis
Sputum
Transcriptional profiling
Predictive biomarker
Persistent infection
2016-04-07 05:00:00
Journal contribution
https://springernature.figshare.com/articles/journal_contribution/Additional_file_5_of_Profiling_persistent_tubercule_bacilli_from_patient_sputa_during_therapy_predicts_early_drug_efficacy/4416359
Figure S1. An illustration of the computation process to test associations between transcriptional signatures and patient variables. Figure S2. Venn diagrams describing the overlapping transcriptional signatures of bacilli in sputum relative to aerobic log phase growth. Figure S3. Box and whisker plots mapping the differential expression of gene families. Figure S4. Hierarchical clustering of the mean M.tb transcriptional profiles derived from sputa. Figure S5. Venn diagram highlighting genes significantly induced 3 days after the start of drug therapy. Figure S6. Contrasting patient trajectories as defined by principle component analysis plotting day 0 and day 3 timepoints only. (PDF 526 kb)