Literature DB >> 28625679

Phenotype databases for genetic screens in human cells.

Benedikt Rauscher1, Erica Valentini1, Ulrike Hardeland1, Michael Boutros2.   

Abstract

Genetic screens are powerful tools to identify components that make up biological systems. Perturbations introduced by methods such as RNA interference (RNAi) or CRISPR/Cas9-mediated genome editing lead to biological phenotypes that can be examined to understand the molecular function of genes in the cell. Over the years, many of such experiments have been conducted providing a wealth of knowledge about genotype-to-phenotype relationships. These data are a rich source of information and it is in a common interest to make them available in a simplified and integrated format. Thus, an important challenge is that genetic screening data can be stored in databases in standardized ways, allowing users to gain new biological insights through data mining and integrated analyses. Here, we provide an overview of available phenotype databases for human cells. We review in detail two databases for high-throughput screens, GenomeRNAi and GenomeCRISPR, and describe how these resources are integrated into the German Network for Bioinformatics Infrastructure de.NBI as part of the European infrastructure for life-science information ELIXIR.
Copyright © 2017 The Author(s). Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Database; ELIXIR; Functional genomics; High-throughput biology; Phenotype; de.NBI

Mesh:

Year:  2017        PMID: 28625679     DOI: 10.1016/j.jbiotec.2017.06.008

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  6 in total

Review 1.  Proteomic and interactomic insights into the molecular basis of cell functional diversity.

Authors:  Isabell Bludau; Ruedi Aebersold
Journal:  Nat Rev Mol Cell Biol       Date:  2020-03-31       Impact factor: 94.444

Review 2.  Arrayed functional genetic screenings in pluripotency reprogramming and differentiation.

Authors:  Rodrigo Alexandre Panepucci; Ildercílio Mota de Souza Lima
Journal:  Stem Cell Res Ther       Date:  2019-01-11       Impact factor: 6.832

3.  A network of human functional gene interactions from knockout fitness screens in cancer cells.

Authors:  Eiru Kim; Merve Dede; Walter F Lenoir; Gang Wang; Sanjana Srinivasan; Medina Colic; Traver Hart
Journal:  Life Sci Alliance       Date:  2019-04-12

4.  The de.NBI / ELIXIR-DE training platform - Bioinformatics training in Germany and across Europe within ELIXIR.

Authors:  Daniel Wibberg; Bérénice Batut; Peter Belmann; Jochen Blom; Frank Oliver Glöckner; Björn Grüning; Nils Hoffmann; Nils Kleinbölting; René Rahn; Maja Rey; Uwe Scholz; Malvika Sharan; Andreas Tauch; Ulrike Trojahn; Björn Usadel; Oliver Kohlbacher
Journal:  F1000Res       Date:  2019-11-07

5.  Genome-scale CRISPR screening at high sensitivity with an empirically designed sgRNA library.

Authors:  Luisa Henkel; Benedikt Rauscher; Barbara Schmitt; Jan Winter; Michael Boutros
Journal:  BMC Biol       Date:  2020-11-23       Impact factor: 7.431

6.  CRISP-view: a database of functional genetic screens spanning multiple phenotypes.

Authors:  Yingbo Cui; Xiaolong Cheng; Qing Chen; Bicna Song; Anthony Chiu; Yuan Gao; Tyson Dawson; Lumen Chao; Wubing Zhang; Dian Li; Zexiang Zeng; Jijun Yu; Zexu Li; Teng Fei; Shaoliang Peng; Wei Li
Journal:  Nucleic Acids Res       Date:  2021-01-08       Impact factor: 16.971

  6 in total

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