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Related Concept Videos

Genetic Screens02:46

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Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
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Phenotype databases for genetic screens in human cells.

Benedikt Rauscher1, Erica Valentini1, Ulrike Hardeland1

  • 1Division of Signaling and Functional Genomics, German Cancer Research Center (DKFZ) and Heidelberg University, 69120 Heidelberg, Germany.

Journal of Biotechnology
|June 20, 2017
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Summary
This summary is machine-generated.

Genetic screening experiments, including RNA interference (RNAi) and CRISPR/Cas9, reveal genotype-to-phenotype relationships. This study reviews human cell phenotype databases like GenomeRNAi and GenomeCRISPR for integrated data analysis.

Keywords:
DatabaseELIXIRFunctional genomicsHigh-throughput biologyPhenotypede.NBI

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Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Genetic screens (RNAi, CRISPR/Cas9) identify gene functions by linking genetic perturbations to cellular phenotypes.
  • Numerous genetic screening experiments have generated extensive data on genotype-to-phenotype relationships.
  • Integrating and standardizing this data is crucial for advancing biological insights.

Purpose of the Study:

  • To provide an overview of human cell phenotype databases for genetic screening data.
  • To detail the GenomeRNAi and GenomeCRISPR databases.
  • To describe the integration of these resources into the de.NBI and ELIXIR infrastructures.

Main Methods:

  • Review of available phenotype databases for human cells.
  • Detailed examination of GenomeRNAi and GenomeCRISPR databases.
  • Description of data integration within bioinformatics infrastructures.

Main Results:

  • Identification and overview of key human cell phenotype databases.
  • In-depth review of GenomeRNAi and GenomeCRISPR functionalities and data.
  • Explanation of how these databases are integrated into larger European life science infrastructures.

Conclusions:

  • Standardized genetic screening data in accessible databases facilitates data mining and new biological discoveries.
  • GenomeRNAi and GenomeCRISPR are valuable resources for understanding gene function in human cells.
  • Integration into de.NBI and ELIXIR enhances data accessibility and collaborative research potential.