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New chimeric RNAs in acute myeloid leukemia [version 1; referees: 1 approved, 1 approved with reservations]

Authors :
Florence Rufflé
Jerome Audoux
Anthony Boureux
Sacha Beaumeunier
Jean-Baptiste Gaillard
Elias Bou Samra
Andre Megarbane
Bruno Cassinat
Christine Chomienne
Ronnie Alves
Sebastien Riquier
Nicolas Gilbert
Jean-Marc Lemaitre
Delphine Bacq-Daian
Anne Laure Bougé
Nicolas Philippe
Therese Commes
Author Affiliations :
<relatesTo>1</relatesTo>Institut de Médecine Régénératrice et de Biothérapie, INSERM U1183, CHU Montpellier, Montpellier, France<br /><relatesTo>2</relatesTo>Institut de Biologie Computationnelle, Université Montpellier, Montpellier, France<br /><relatesTo>3</relatesTo>Laboratoire de Cytologie et Cytogénétique, CHU Caremeau, Nîmes, France<br /><relatesTo>4</relatesTo>Institut Curie, PSL Research University, Paris, France<br /><relatesTo>5</relatesTo>Université Paris Sud, Université Paris-Saclay, Orsay, France<br /><relatesTo>6</relatesTo>Institut Jérôme Lejeune, Paris, France<br /><relatesTo>7</relatesTo>Laboratoire de Biologie Cellulaire, Hôpital Saint-Louis, Assistance publique - Hôpitaux de Paris (AP-HP), Paris, France<br /><relatesTo>8</relatesTo>Hôpital Saint-Louis, Université Paris Diderot, INSERM UMRS 1131, Paris, France<br /><relatesTo>9</relatesTo>Instituto Tecnológico Vale, Nazaré, Belém, PA, Brazil<br /><relatesTo>10</relatesTo>CEA Institut de Génomique, Centre National de Génotypage, Evry, France
Source :
F1000Research. 6:ISCB Comm J-1302
Publication Year :
2017
Publisher :
London, UK: F1000 Research Limited, 2017.

Abstract

Background: High-throughput next generation sequencing (NGS) technologies enable the detection of biomarkers used for tumor classification, disease monitoring and cancer therapy. Whole-transcriptome analysis using RNA-seq is important, not only as a means of understanding the mechanisms responsible for complex diseases but also to efficiently identify novel genes/exons, splice isoforms, RNA editing, allele-specific mutations, differential gene expression and fusion-transcripts or chimeric RNA (chRNA). Methods: We used Crac, a tool that uses genomic locations and local coverage to classify biological events and directly infer splice and chimeric junctions within a single read. Crac’s algorithm extracts transcriptional chimeric events irrespective of annotation with a high sensitivity, and CracTools was used to aggregate, annotate and filter the chRNA reads. The selected chRNA candidates were validated by real time PCR and sequencing. In order to check the tumor specific expression of chRNA, we analyzed a publicly available dataset using a new tag search approach. Results: We present data related to acute myeloid leukemia (AML) RNA-seq analysis. We highlight novel biological cases of chRNA, in addition to previously well characterized leukemia chRNA. We have identified and validated 17 chRNAs among 3 AML patients: 10 from an AML patient with a translocation between chromosomes 15 and 17 (AML-t(15;17), 4 from patient with normal karyotype (AML-NK) 3 from a patient with chromosomal 16 inversion (AML-inv16). The new fusion transcripts can be classified into four groups according to the exon organization. Conclusions: All groups suggest complex but distinct synthesis mechanisms involving either collinear exons of different genes, non-collinear exons, or exons of different chromosomes. Finally, we check tumor-specific expression in a larger RNA-seq AML cohort and identify new AML biomarkers that could improve diagnosis and prognosis of AML.

Details

ISSN :
20461402
Volume :
6
Database :
F1000Research
Journal :
F1000Research
Notes :
[version 1; referees: 1 approved, 1 approved with reservations]
Publication Type :
Academic Journal
Accession number :
edsfor.10.12688.f1000research.11352.1
Document Type :
research-article
Full Text :
https://doi.org/10.12688/f1000research.11352.1