Dataset Information

A high-throughput screen for tuberculosis progression.

ABSTRACT: One-third of the world population is infected with Mycobacterium tuberculosis and multi-drug resistant strains are rapidly evolving. The noticeable absence of a whole organism high-throughput screening system for studying the progression of tuberculosis is fast becoming the bottleneck in tuberculosis research. We successfully developed such a system using the zebrafish Mycobacterium marinum infection model, which is a well-characterized model for tuberculosis progression with biomedical significance, mimicking hallmarks of human tuberculosis pathology. Importantly, we demonstrate the suitability of our system to directly study M. tuberculosis, showing for the first time that the human pathogen can propagate in this vertebrate model, resulting in similar early disease symptoms to those observed upon M. marinum infection. Our system is capable of screening for disease progression via robotic yolk injection of early embryos and visual flow screening of late-stage larvae. We also show that this system can reliably recapitulate the standard caudal vein injection method with a throughput level of 2,000 embryos per hour. We additionally demonstrate the possibility of studying signal transduction leading to disease progression using reverse genetics at high-throughput levels. Importantly, we use reference compounds to validate our system in the testing of molecules that prevent tuberculosis progression, making it highly suited for investigating novel anti-tuberculosis compounds in vivo.

SUBMITTER: Carvalho R

PROVIDER: S-EPMC3040195 | biostudies-literature | 2011 Feb

REPOSITORIES: biostudies-literature

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A high-throughput screen for tuberculosis progression.

Carvalho Ralph R de Sonneville Jan J Stockhammer Oliver W OW Savage Nigel D L ND Veneman Wouter J WJ Ottenhoff Tom H M TH Dirks Ron P RP Meijer Annemarie H AH Spaink Herman P HP

PloS one 20110216 2

One-third of the world population is infected with Mycobacterium tuberculosis and multi-drug resistant strains are rapidly evolving. The noticeable absence of a whole organism high-throughput screening system for studying the progression of tuberculosis is fast becoming the bottleneck in tuberculosis research. We successfully developed such a system using the zebrafish Mycobacterium marinum infection model, which is a well-characterized model for tuberculosis progression with biomedical signific ...[more]

PMID: 21390204

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Project description:Resistance to tamoxifen in breast cancer patients is a serious therapeutic problem and major efforts are underway to understand underlying mechanisms. Resistance can be either intrinsic or acquired. We derived a series of subcloned MCF7 cell lines that were either highly sensitive or naturally resistant to tamoxifen and studied the factors that lead to drug resistance. Gene-expression studies revealed a signature of 67 genes that differentially respond to tamoxifen in sensitive vs. resistant subclones, which also predicts disease-free survival in tamoxifen-treated patients. High-throughput cell-based screens, in which >500 human kinases were independently ectopically expressed, identified 31 kinases that conferred drug resistance on sensitive cells. One of these, HSPB8, was also in the expression signature and, by itself, predicted poor clinical outcome in one cohort of patients. Further studies revealed that HSPB8 protected MCF7 cells from tamoxifen and blocked autophagy. Moreover, silencing HSBP8 induced autophagy and caused cell death. Tamoxifen itself induced autophagy in sensitive cells but not in resistant ones, and tamoxifen-resistant cells were sensitive to the induction of autophagy by other drugs. These results may point to an important role for autophagy in the sensitivity to tamoxifen. For defined estrogen culture experiments, sensitive (MCF7-B7TamS) and resistant (MCF7-G11TamR) subclones, were plated in 10-cm dish (Nunc) in DMEM supplemented with 5% FBS. The day after plating, the media was changed to steroid depleted media (phenol red-free DMEM) supplemented with 5% charcoal-dextran treated FBS and grown for 2 d. On day 3, cells were rinsed three times with PBS and treated in triplicate using one of four different conditions: (i) estrogen-depleted medium (control); (ii) estrogen (E) at 10 to 9 M; (iii) 4-OHT at 1 uM; and (iv) E plus 4-OHT, both drugs at the same concentrations as in (ii) and (iii). After 4 h, RNA was isolated and processed for gene-expression profiling according to the Affymetrix protocol (Human Genome U133 plus 2.0 Array) at the Microarray Core Facility at the Dana Farber Cancer Institute. The gene-expressionCEL files were normalized using dChip, using the invariant method and PM-MM difference methods for background subtraction. We identified genes that are differentially regulated by tamoxifen using the following criteria: (i) Genes that responded to estrogen in both MCF7-B7TamS andMCF7-G11TamR were identified if cells under tamoxifen treatment were more than 1.1-fold either up- or down-regulated [90% confidence interval (CI)] relative to its corresponding control cells; (ii) Genes unresponsive to tamoxifen in resistant cells: genes that showed more than 1.1-fold up- or down-regulation (90% CI) in MCF7-G11TamR but not in MCF7-B7TamS when comparing cells treated with both estradiol and tamoxifen with those treated with drug only.

Dataset Information

A high-throughput screen for tuberculosis progression.

Publications

A high-throughput screen for tuberculosis progression.

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