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)