ArticlePloS one2017
HTS-Net: An integrated regulome-interactome approach for establishing network regulation models in high-throughput screenings.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Function of cofactor Akirin2 in the regulation of gene expression in model human Caucasian neutrophil-like HL60 cells.Bioscience reports · 2021Article
- A genome-wide RNAi screen reveals essential therapeutic targets of breast cancer stem cells.EMBO molecular medicine · 2019Article
- Integrating molecular networks with genetic variant interpretation for precision medicine.Wiley interdisciplinary reviews. Systems biology and medicine · 2019Review
- Modeling Modulation of the Tick Regulome in Response toFrontiers in physiology · 2019Article
- Functional Evolution of Subolesin/Akirin.Frontiers in physiology · 2018Review
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
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Abstract
High-throughput RNAi screenings (HTS) allow quantifying the impact of the deletion of each gene in any particular function, from virus-host interactions to cell differentiation. However, there has been less development for functional analysis tools dedicated to RNAi analyses. HTS-Net, a network-based analysis program, was developed to identify gene regulatory modules impacted in high-throughput screenings, by integrating transcription factors-target genes interaction data (regulome) and protein-protein interaction networks (interactome) on top of screening z-scores. HTS-Net produces exhaustive HTML reports for results navigation and exploration. HTS-Net is a new pipeline for RNA interference screening analyses that proves better performance than simple gene rankings by z-scores, by re-prioritizing genes and replacing them in their biological context, as shown by the three studies that we reanalyzed. Formatted input data for the three studied datasets, source code and web site for testing the system are available from the companion web site at http://htsnet.marseille.inserm.fr/. We also compared our program with existing algorithms (CARD and hotnet2).
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.