scholarly journals Identification of Intrinsic Drug Resistance and Its Biomarkers in High-Throughput Pharmacogenomic and CRISPR Screens

Patterns ◽  
2020 ◽  
Vol 1 (5) ◽  
pp. 100065
Author(s):  
Iñigo Ayestaran ◽  
Ana Galhoz ◽  
Elmar Spiegel ◽  
Ben Sidders ◽  
Jonathan R. Dry ◽  
...  
2020 ◽  
Author(s):  
Iñigo Ayestaran ◽  
Ben Sidders ◽  
Jonathan Dry ◽  
Andreas Bender ◽  
Ultan McDermott ◽  
...  

Viruses ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 806
Author(s):  
Shambhu G. Aralaguppe ◽  
Anoop T. Ambikan ◽  
Manickam Ashokkumar ◽  
Milner M. Kumar ◽  
Luke Elizabeth Hanna ◽  
...  

The detection of drug resistance mutations (DRMs) in minor viral populations is of potential clinical importance. However, sophisticated computational infrastructure and competence for analysis of high-throughput sequencing (HTS) data lack at most diagnostic laboratories. Thus, we have proposed a new pipeline, MiDRMpol, to quantify DRM from the HIV-1 pol region. The gag-vpu region of 87 plasma samples from HIV-infected individuals from three cohorts was amplified and sequenced by Illumina HiSeq2500. The sequence reads were adapter-trimmed, followed by analysis using in-house scripts. Samples from Swedish and Ethiopian cohorts were also sequenced by Sanger sequencing. The pipeline was validated against the online tool PASeq (Polymorphism Analysis by Sequencing). Based on an error rate of <1%, a value of >1% was set as reliable to consider a minor variant. Both pipelines detected the mutations in the dominant viral populations, while discrepancies were observed in minor viral populations. In five HIV-1 subtype C samples, minor mutations were detected at the <5% level by MiDRMpol but not by PASeq. MiDRMpol is a computationally as well as labor efficient bioinformatics pipeline for the detection of DRM from HTS data. It identifies minor viral populations (<20%) of DRMs. Our method can be incorporated into large-scale surveillance of HIV-1 DRM.


2013 ◽  
Vol 337 (1) ◽  
pp. 77-89 ◽  
Author(s):  
Kevin P. Williams ◽  
Jennifer L. Allensworth ◽  
Shalonda M. Ingram ◽  
Ginger R. Smith ◽  
Amy J. Aldrich ◽  
...  

2020 ◽  
Vol 75 (12) ◽  
pp. 3510-3516 ◽  
Author(s):  
Jessica M Fogel ◽  
David Bonsall ◽  
Vanessa Cummings ◽  
Rory Bowden ◽  
Tanya Golubchik ◽  
...  

Abstract Objectives To evaluate the performance of a high-throughput research assay for HIV drug resistance testing based on whole genome next-generation sequencing (NGS) that also quantifies HIV viral load. Methods Plasma samples (n = 145) were obtained from HIV-positive MSM (HPTN 078). Samples were analysed using clinical assays (the ViroSeq HIV-1 Genotyping System and the Abbott RealTime HIV-1 Viral Load assay) and a research assay based on whole-genome NGS (veSEQ-HIV). Results HIV protease and reverse transcriptase sequences (n = 142) and integrase sequences (n = 138) were obtained using ViroSeq. Sequences from all three regions were obtained for 100 (70.4%) of the 142 samples using veSEQ-HIV; results were obtained more frequently for samples with higher viral loads (93.5% for 93 samples with &gt;5000 copies/mL; 50.0% for 26 samples with 1000–5000 copies/mL; 0% for 23 samples with &lt;1000 copies/mL). For samples with results from both methods, drug resistance mutations (DRMs) were detected in 33 samples using ViroSeq and 42 samples using veSEQ-HIV (detection threshold: 5.0%). Overall, 146 major DRMs were detected; 107 were detected by both methods, 37 were detected by veSEQ-HIV only (frequency range: 5.0%–30.6%) and two were detected by ViroSeq only. HIV viral loads estimated by veSEQ-HIV strongly correlated with results from the Abbott RealTime Viral Load assay (R2 = 0.85; n = 142). Conclusions The NGS-based veSEQ-HIV method provided results for most samples with higher viral loads, was accurate for detecting major DRMs, and detected mutations at lower levels compared with a method based on population sequencing. The veSEQ-HIV method also provided HIV viral load data.


2004 ◽  
Vol 48 (7) ◽  
pp. 2415-2423 ◽  
Author(s):  
Xian-Zhi Li ◽  
Li Zhang ◽  
Hiroshi Nikaido

ABSTRACT The Mycobacterium smegmatis genome contains many genes encoding putative drug efflux pumps. Yet with the exception of lfrA, it is not clear whether these genes contribute to the intrinsic drug resistance of this organism. We showed first by reverse transcription (RT)-PCR that several of these genes, including lfrA as well as the homologues of Mycobacterium tuberculosis Rv1145, Rv1146, Rv1877, Rv2846c (efpA), and Rv3065 (mmr and emrE), were expressed at detectable levels in the strain mc2155. Null mutants each carrying an in-frame deletion of these genes were then constructed in M. smegmatis. The deletions of the lfrA gene or mmr homologue rendered the mutant more susceptible to multiple drugs such as fluoroquinolones, ethidium bromide, and acriflavine (two- to eightfold decrease in MICs). The deletion of the efpA homologue also produced increased susceptibility to these agents but unexpectedly also resulted in decreased susceptibility to rifamycins, isoniazid, and chloramphenicol (two- to fourfold increase in MICs). Deletion of the Rv1877 homologue produced some increased susceptibility to ethidium bromide, acriflavine, and erythromycin. The upstream region of lfrA contained a gene encoding a putative TetR family transcriptional repressor, dubbed LfrR. The deletion of lfrR elevated the expression of lfrA and produced higher resistance to multiple drugs. Multidrug-resistant single-step mutants, independent of LfrA and attributed to a yet-unidentified drug efflux pump (here called LfrX), were selected in vitro and showed decreased accumulation of norfloxacin, ethidium bromide, and acriflavine in intact cells. Finally, use of isogenic β-lactamase-deficient strains showed the contribution of LfrA and LfrX to resistance to certain β-lactams in M. smegmatis.


2011 ◽  
Vol 10 (1) ◽  
pp. 282 ◽  
Author(s):  
Céline Barnadas ◽  
David Kent ◽  
Lincoln Timinao ◽  
Jonah Iga ◽  
Laurie R Gray ◽  
...  

Lab on a Chip ◽  
2020 ◽  
Vol 20 (12) ◽  
pp. 2228-2236 ◽  
Author(s):  
Xuejia Hu ◽  
Shukun Zhao ◽  
Ziyi Luo ◽  
Yunfeng Zuo ◽  
Fang Wang ◽  
...  

Multicellular aggregates in three-dimensional (3D) environments provide novel solid tumor models that can provide insight into in vivo drug resistance.


1989 ◽  
Vol 29 ◽  
pp. 277-285 ◽  
Author(s):  
J.R. Bertino ◽  
J. Lin ◽  
G. Pizzorno ◽  
Wei Wei Li ◽  
Y.M. Chang

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