Literature DB >> 27330136

Comprehensive analysis of high-throughput screens with HiTSeekR.

Markus List1, Steffen Schmidt2, Helle Christiansen2, Marc Rehmsmeier3, Qihua Tan4, Jan Mollenhauer2, Jan Baumbach5.   

Abstract

High-throughput screening (HTS) is an indispensable tool for drug (target) discovery that currently lacks user-friendly software tools for the robust identification of putative hits from HTS experiments and for the interpretation of these findings in the context of systems biology. We developed HiTSeekR as a one-stop solution for chemical compound screens, siRNA knock-down and CRISPR/Cas9 knock-out screens, as well as microRNA inhibitor and -mimics screens. We chose three use cases that demonstrate the potential of HiTSeekR to fully exploit HTS screening data in quite heterogeneous contexts to generate novel hypotheses for follow-up experiments: (i) a genome-wide RNAi screen to uncover modulators of TNFα, (ii) a combined siRNA and miRNA mimics screen on vorinostat resistance and (iii) a small compound screen on KRAS synthetic lethality. HiTSeekR is publicly available at http://hitseekr.compbio.sdu.dk It is the first approach to close the gap between raw data processing, network enrichment and wet lab target generation for various HTS screen types.
© The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Year:  2016        PMID: 27330136      PMCID: PMC5001608          DOI: 10.1093/nar/gkw554

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  41 in total

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Authors:  M Kanehisa; S Goto
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets.

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Review 3.  Detecting and overcoming systematic bias in high-throughput screening technologies: a comprehensive review of practical issues and methodological solutions.

Authors:  Iurie Caraus; Abdulaziz A Alsuwailem; Robert Nadon; Vladimir Makarenkov
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4.  Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

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Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-30       Impact factor: 11.205

5.  Challenges in secondary analysis of high throughput screening data.

Authors:  Aurora S Blucher; Shannon K McWeeney
Journal:  Pac Symp Biocomput       Date:  2014

6.  Chemico-genetic strategies to inhibit the leukemic potential of threonine aspartase-1.

Authors:  D Wünsch; V Fetz; D Heider; S Tenzer; C Bier; L Kunst; S Knauer; R Stauber
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7.  The BioGRID interaction database: 2015 update.

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Journal:  Nucleic Acids Res       Date:  2014-11-26       Impact factor: 19.160

8.  Genome-wide functional genomic and transcriptomic analyses for genes regulating sensitivity to vorinostat.

Authors:  Katrina J Falkenberg; Cathryn M Gould; Ricky W Johnstone; Kaylene J Simpson
Journal:  Sci Data       Date:  2014-07-08       Impact factor: 6.444

9.  KeyPathwayMiner 4.0: condition-specific pathway analysis by combining multiple omics studies and networks with Cytoscape.

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10.  The database of experimentally supported targets: a functional update of TarBase.

Authors:  Giorgos L Papadopoulos; Martin Reczko; Victor A Simossis; Praveen Sethupathy; Artemis G Hatzigeorgiou
Journal:  Nucleic Acids Res       Date:  2008-10-27       Impact factor: 16.971

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  6 in total

1.  DrugThatGene: integrative analysis to streamline the identification of druggable genes, pathways and protein complexes from CRISPR screens.

Authors:  Matthew C Canver; Daniel E Bauer; Takahiro Maeda; Luca Pinello
Journal:  Bioinformatics       Date:  2019-06-01       Impact factor: 6.937

2.  Image-Based Screening for Stress Granule Regulators.

Authors:  Katharina Hoerth; Nina Eiermann; Jürgen Beneke; Holger Erfle; Georg Stoecklin
Journal:  Methods Mol Biol       Date:  2022

Review 3.  High-Throughput Approaches to Pinpoint Function within the Noncoding Genome.

Authors:  Antonino Montalbano; Matthew C Canver; Neville E Sanjana
Journal:  Mol Cell       Date:  2017-10-05       Impact factor: 17.970

4.  HTSvis: a web app for exploratory data analysis and visualization of arrayed high-throughput screens.

Authors:  Christian Scheeder; Florian Heigwer; Michael Boutros
Journal:  Bioinformatics       Date:  2017-09-15       Impact factor: 6.937

5.  Using Docker Compose for the Simple Deployment of an Integrated Drug Target Screening Platform.

Authors:  Markus List
Journal:  J Integr Bioinform       Date:  2017-06-10

6.  A Unique Dual-Readout High-Throughput Screening Assay To Identify Antifungal Compounds with Aspergillus fumigatus.

Authors:  Sarah R Beattie; Damian J Krysan
Journal:  mSphere       Date:  2021-08-18       Impact factor: 4.389

  6 in total

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