Determining signalling nodes for apoptosis by a genetic high-throughput screen

Lin, Bevan, Huntley, Derek, AbuAli, Ghada, Langley, Sarah R. ORCID: https://orcid.org/0000-0003-4419-476X, Sindelar, George, Petretto, Enrico, Butcher, Sarah and Grimm, Stefan 2011. Determining signalling nodes for apoptosis by a genetic high-throughput screen. Plos One 6 (9) , e25023. 10.1371/journal.pone.0025023

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Abstract

Background With the ever-increasing information emerging from the various sequencing and gene annotation projects, there is an urgent need to elucidate the cellular functions of the newly discovered genes. The genetically regulated cell suicide of apoptosis is especially suitable for such endeavours as it is governed by a vast number of factors. Methodology/Principal Findings We have set up a high-throughput screen in 96-well microtiter plates for genes that induce apoptosis upon their individual transfection into human cells. Upon screening approximately 100,000 cDNA clones we determined 74 genes that initiate this cellular suicide programme. A thorough bioinformatics analysis of these genes revealed that 91% are novel apoptosis regulators. Careful sequence analysis and functional annotation showed that the apoptosis factors exhibit a distinct functional distribution that distinguishes the cell death process from other signalling pathways. While only a minority of classic signal transducers were determined, a substantial number of the genes fall into the transporter- and enzyme-category. The apoptosis factors are distributed throughout all cellular organelles and many signalling circuits, but one distinct signalling pathway connects at least some of the isolated genes. Comparisons with microarray data suggest that several genes are dysregulated in specific types of cancers and degenerative diseases. Conclusions/Significance Many unknown genes for cell death were revealed through our screen, supporting the enormous complexity of cell death regulation. Our results will serve as a repository for other researchers working with genomics data related to apoptosis or for those seeking to reveal novel signalling pathways for cell suicide.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Biosciences
Publisher:	Public Library of Science
ISSN:	1932-6203
Date of First Compliant Deposit:	1 September 2023
Last Modified:	02 Sep 2023 19:27
URI:	https://orca.cardiff.ac.uk/id/eprint/162129

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