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High-throughput decoding of antitrypanosomal drug efficacy and resistance.

ABSTRACT: The concept of disease-specific chemotherapy was developed a century ago. Dyes and arsenical compounds that displayed selectivity against trypanosomes were central to this work, and the drugs that emerged remain in use for treating human African trypanosomiasis (HAT). The importance of understanding the mechanisms underlying selective drug action and resistance for the development of improved HAT therapies has been recognized, but these mechanisms have remained largely unknown. Here we use all five current HAT drugs for genome-scale RNA interference target sequencing (RIT-seq) screens in Trypanosoma brucei, revealing the transporters, organelles, enzymes and metabolic pathways that function to facilitate antitrypanosomal drug action. RIT-seq profiling identifies both known drug importers and the only known pro-drug activator, and links more than fifty additional genes to drug action. A bloodstream stage-specific invariant surface glycoprotein (ISG75) family mediates suramin uptake, and the AP1 adaptin complex, lysosomal proteases and major lysosomal transmembrane protein, as well as spermidine and N-acetylglucosamine biosynthesis, all contribute to suramin action. Further screens link ubiquinone availability to nitro-drug action, plasma membrane P-type H(+)-ATPases to pentamidine action, and trypanothione and several putative kinases to melarsoprol action. We also demonstrate a major role for aquaglyceroporins in pentamidine and melarsoprol cross-resistance. These advances in our understanding of mechanisms of antitrypanosomal drug efficacy and resistance will aid the rational design of new therapies and help to combat drug resistance, and provide unprecedented molecular insight into the mode of action of antitrypanosomal drugs.

SUBMITTER: Alsford S

PROVIDER: S-EPMC3303116 | biostudies-literature | 2012 Jan

REPOSITORIES: biostudies-literature

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High-throughput decoding of antitrypanosomal drug efficacy and resistance.

Alsford Sam S Eckert Sabine S Baker Nicola N Glover Lucy L Sanchez-Flores Alejandro A Leung Ka Fai KF Turner Daniel J DJ Field Mark C MC Berriman Matthew M Horn David D

Nature 20120125 7384

The concept of disease-specific chemotherapy was developed a century ago. Dyes and arsenical compounds that displayed selectivity against trypanosomes were central to this work, and the drugs that emerged remain in use for treating human African trypanosomiasis (HAT). The importance of understanding the mechanisms underlying selective drug action and resistance for the development of improved HAT therapies has been recognized, but these mechanisms have remained largely unknown. Here we use all f ...[more]

PMID: 22278056

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Project description:We used all five current human African trypanosomiasis drugs for genome-scale RNA interference (RNAi) target sequencing (RIT-seq) screens in Trypanosoma brucei, revealing the transporters, organelles, enzymes and metabolic pathways that function to facilitate anti-trypanosomal drug action. RIT-seq profiling links more than fifty additional genes to drug action. This data has been described in the following article [doi:10.1038/nature10771] and its further analysis can be freely submitted for publication. For information on the proper use of data shared by the Wellcome Trust Sanger Institute (including information on acknowledgement), please see http://www.sanger.ac.uk/datasharing/. Protocol - Assembly of the bloodstream-form T. brucei RNAi library and the RNAi target sequencing (RIT-seq) approach were reported previously (Alsford, S. et al. High-throughput phenotyping using parallel sequencing of RNA interference targets in the African trypanosome. Genome Res 21, 915-924, 264 doi:gr.115089.110 [pii] 265 10.1101/gr.115089.110 (2011). Briefly, a tetracycline-inducible RNAi plasmid library, containing randomly sheared genomic fragments (mean ~600 bp) under the control of head-to-head T7 promoters, was targeted to a single genomic locus that had been validated for robust expression. For this study, the library was grown under inducing conditions with drug selection and genomic DNA was isolated from surviving populations. For chemical RIT-seq profiling, adapter-ligated sequencing libraries were prepared from each genomic DNA sample and used to amplify DNA fragments containing RNAi cassette-insert junctions in semi-specific PCR reactions; one primer was specific for the RNAi vector and the other for the Illumina adapter. Size-selected DNA was sequenced with 76 cycle paired-end runs on an Illumina GAII. Illumina sequencing reads containing a nine-base RNAi vector junction sequence were then mapped to the T. brucei reference genome. Where loss of function increases drug tolerance, RNAi-target sequence representation is increased relative to the otherwise susceptible population, revealing hot spots.

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.

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High-throughput decoding of antitrypanosomal drug efficacy and resistance.

Publications

High-throughput decoding of antitrypanosomal drug efficacy and resistance.

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