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Comprehensive kinome NGS targeted expression profiling by KING-REX.

Authors :
Carapezza G
Cusi C
Rizzo E
Raddrizzani L
Di Bella S
Somaschini A
Leone A
Lupi R
Mutarelli M
Nigro V
di Bernardo D
Magni P
Isacchi A
Bosotti R
Source :
BMC genomics [BMC Genomics] 2019 Apr 23; Vol. 20 (1), pp. 307. Date of Electronic Publication: 2019 Apr 23.
Publication Year :
2019

Abstract

Background: Protein kinases are enzymes controlling different cellular functions. Genetic alterations often result in kinase dysregulation, making kinases a very attractive class of druggable targets in several human diseases. Existing approved drugs still target a very limited portion of the human 'kinome', demanding a broader functional knowledge of individual and co-expressed kinase patterns in physiologic and pathologic settings. The development of novel rapid and cost-effective methods for kinome screening is therefore highly desirable, potentially leading to the identification of novel kinase drug targets.<br />Results: In this work, we describe the development of KING-REX (KINase Gene RNA EXpression), a comprehensive kinome RNA targeted custom assay-based panel designed for Next Generation Sequencing analysis, coupled with a dedicated data analysis pipeline. We have conceived KING-REX for the gene expression analysis of 512 human kinases; for 319 kinases, paired assays and custom analysis pipeline features allow the evaluation of 3'- and 5'-end transcript imbalances as readout for the prediction of gene rearrangements. Validation tests on cell line models harboring known gene fusions demonstrated a comparable accuracy of KING-REX gene expression assessment as in whole transcriptome analyses, together with a robust detection of transcript portion imbalances in rearranged kinases, even in complex RNA mixtures or in degraded RNA.<br />Conclusions: These results support the use of KING-REX as a rapid and cost effective kinome investigation tool in the field of kinase target identification for applications in cancer biology and other human diseases.

Details

Language :
English
ISSN :
1471-2164
Volume :
20
Issue :
1
Database :
MEDLINE
Journal :
BMC genomics
Publication Type :
Academic Journal
Accession number :
31014245
Full Text :
https://doi.org/10.1186/s12864-019-5676-3