Systems analysis of quantitative shRNA-library screens identifies regulators of cell adhesion

Abstract

Background: High throughput screens with RNA interference technology enable loss-of-function analyses of gene activities in mammalian cells. While the construction of genome-scale shRNA libraries has been successful, results of large-scale screening of those libraries can be difficult to analyze because of the relatively high noise levels and the fact that not all shRNAs in a library are equally effective in silencing gene expression. Results: We have screened a library consisting of 43,828 shRNAs directed against 8,500 human genes for functions that are necessary in cell detachment induced by a constitutively activated c-Abl tyrosine kinase. To deal with the issues of noise and uncertainty of knockdown efficiencies, we employed an analytical strategy that combines quantitative data analysis with biological knowledge, i.e. Gene Ontology and pathway information, to increase the power of the RNAi screening technique. Using this strategy we found 16 candidate genes to be involved in Abl-induced disruption of cell adhesion, and verified that the knockdown of IL6ST is associated with enhanced cell attachment. Conclusion: Our results suggest that the power of genome-wide quantitative shRNA screens can be significantly increased when analyzed using a systems biology-based approach to identify functional gene networks. © 2008 Huang et al; licensee BioMed Central Ltd.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 91,592

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

  • Only published works are available at libraries.

Similar books and articles

Immune Cell Identity: Perspective from a Palimpsest.Ellen V. Rothenberg - 2015 - Perspectives in Biology and Medicine 58 (2):205-228.

Analytics

Added to PP
2017-05-27

Downloads
1 (#1,898,347)

6 months
1 (#1,469,469)

Historical graph of downloads

Sorry, there are not enough data points to plot this chart.
How can I increase my downloads?

Author Profiles

Xiaoshu Lu
Carleton College
Ju Wang
University of Edinburgh
Xueyan Huang
University of Melbourne

Citations of this work

No citations found.

Add more citations

References found in this work

No references found.

Add more references