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Aquilina-Reid C, Brennan S, Curry-Hyde A, Teunisse GM, Janitz M. Circular RNA Expression and Interaction Patterns Are Perturbed in Amyotrophic Lateral Sclerosis. Int J Mol Sci 2022; 23:ijms232314665. [PMID: 36498994 PMCID: PMC9739162 DOI: 10.3390/ijms232314665] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 11/19/2022] [Accepted: 11/23/2022] [Indexed: 11/25/2022] Open
Abstract
Circular RNAs (circRNAs) are a type of long noncoding RNA that are highly abundant and highly conserved throughout evolution and exhibit differential expression patterns in various tissue types in multiple diseases, including amyotrophic lateral sclerosis (ALS). The most well-known function of circRNAs is their ability to act as microRNA (miRNA) sponges. This entails circRNA binding to miRNA, which would otherwise target and degrade messenger RNA, thus affecting gene expression. This study analyzed ALS patient samples from three spinal cord regions to investigate circular transcriptome perturbation and circular RNA-microRNA-mRNA interactions. Using stringent statistical parameters, we identified 92 differentially expressed circRNAs across the spinal cord tissues with the aim of identifying specific circRNAs with biomarker potential. We also found evidence for differential expression of 37 linear RNAs possibly due to miRNA sequestration by circRNAs, thus revealing their potential as novel biomarkers and therapeutic candidates for ALS.
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Affiliation(s)
| | | | - Ashton Curry-Hyde
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW 2052, Australia
| | | | | | - Michael Janitz
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW 2052, Australia
- Paul Flechsig Institute for Brain Research, University of Leipzig, 04103 Leipzig, Germany
- Correspondence: ; Tel.: +61-2-9065-1361
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Sundercombe SL, Berbic M, Evans CA, Cliffe C, Elakis G, Temple SEL, Selvanathan A, Ewans L, Quayum N, Nixon CY, Dias KR, Lang S, Richards A, Goh S, Wilson M, Mowat D, Sachdev R, Sandaradura S, Walsh M, Farrar MA, Walsh R, Fletcher J, Kirk EP, Teunisse GM, Schofield D, Buckley MF, Zhu Y, Roscioli T. Clinically Responsive Genomic Analysis Pipelines: Elements to Improve Detection Rate and Efficiency. J Mol Diagn 2021; 23:894-905. [PMID: 33962052 DOI: 10.1016/j.jmoldx.2021.04.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 03/27/2021] [Accepted: 04/21/2021] [Indexed: 11/25/2022] Open
Abstract
Massively parallel sequencing has markedly improved mendelian diagnostic rates. This study assessed the effects of custom alterations to a diagnostic genomic bioinformatic pipeline in response to clinical need and derived practice recommendations relative to diagnostic rates and efficiency. The Genomic Annotation and Interpretation Application (GAIA) bioinformatics pipeline was designed to detect panel, exome, and genome sample integrity and prioritize gene variants in mendelian disorders. Reanalysis of selected negative cases was performed after improvements to the pipeline. GAIA improvements and their effect on sensitivity are described, including addition of a PubMed search for gene-disease associations not in the Online Mendelian Inheritance of Man database, inclusion of a process for calling low-quality variants (known as QPatch), and gene symbol nomenclature consistency checking. The new pipeline increased the diagnostic rate and reduced staff costs, resulting in a saving of US$844.34 per additional diagnosis. Recommendations for genomic analysis pipeline requirements are summarized. Clinically responsive bioinformatics pipeline improvements increase diagnostic sensitivity and increase cost-effectiveness.
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Affiliation(s)
| | - Marina Berbic
- NSW Health Pathology Randwick Genomics, Prince of Wales Hospital, Randwick, New South Wales, Australia; School of Women's and Children's Health, University of New South Wales Sydney, Kensington, New South Wales, Australia
| | - Carey-Anne Evans
- Neuroscience Research Australia (NeuRA), Randwick, New South Wales, Australia
| | - Corrina Cliffe
- NSW Health Pathology Randwick Genomics, Prince of Wales Hospital, Randwick, New South Wales, Australia
| | - George Elakis
- NSW Health Pathology Randwick Genomics, Prince of Wales Hospital, Randwick, New South Wales, Australia
| | - Suzanna E L Temple
- NSW Health Pathology Randwick Genomics, Prince of Wales Hospital, Randwick, New South Wales, Australia; Neuroscience Research Australia (NeuRA), Randwick, New South Wales, Australia; Centre for Clinical Genetics, Sydney Children's Hospital, Sydney, Randwick, New South Wales, Australia
| | - Arthavan Selvanathan
- NSW Health Pathology Randwick Genomics, Prince of Wales Hospital, Randwick, New South Wales, Australia; Neuroscience Research Australia (NeuRA), Randwick, New South Wales, Australia; Discipline of Child and Adolescent Health, The University of Sydney, New South Wales, Australia
| | - Lisa Ewans
- Department of Medical Genomics, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia; Central Clinical School, Sydney Medical School, The University of Sydney, New South Wales, Australia
| | - Nila Quayum
- NSW Health Pathology Randwick Genomics, Prince of Wales Hospital, Randwick, New South Wales, Australia
| | - Cheng-Yee Nixon
- NSW Health Pathology Randwick Genomics, Prince of Wales Hospital, Randwick, New South Wales, Australia; Neuroscience Research Australia (NeuRA), Randwick, New South Wales, Australia
| | - Kerith-Rae Dias
- Neuroscience Research Australia (NeuRA), Randwick, New South Wales, Australia; Prince of Wales Clinical School, Faculty of Medicine, University of New South Wales Sydney, Kensington, New South Wales, Australia
| | - Sarah Lang
- NSW Health Pathology Randwick Genomics, Prince of Wales Hospital, Randwick, New South Wales, Australia
| | - Anna Richards
- NSW Health Pathology Randwick Genomics, Prince of Wales Hospital, Randwick, New South Wales, Australia
| | - Shuxiang Goh
- NSW Health Pathology Randwick Genomics, Prince of Wales Hospital, Randwick, New South Wales, Australia; Neuroscience Research Australia (NeuRA), Randwick, New South Wales, Australia
| | - Meredith Wilson
- Department of Clinical Genetics, Children's Hospital at Westmead, Sydney, Westmead, New South Wales, Australia
| | - David Mowat
- Centre for Clinical Genetics, Sydney Children's Hospital, Sydney, Randwick, New South Wales, Australia
| | - Rani Sachdev
- Centre for Clinical Genetics, Sydney Children's Hospital, Sydney, Randwick, New South Wales, Australia
| | - Sarah Sandaradura
- Department of Clinical Genetics, Children's Hospital at Westmead, Sydney, Westmead, New South Wales, Australia
| | - Maie Walsh
- Genetic Medicine Department, Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Michelle A Farrar
- School of Women's and Children's Health, University of New South Wales Sydney, Kensington, New South Wales, Australia; Neurology Department, Sydney Children's Hospital, Sydney, Randwick, New South Wales, Australia
| | - Rebecca Walsh
- NSW Health Pathology Randwick Genomics, Prince of Wales Hospital, Randwick, New South Wales, Australia
| | - Janice Fletcher
- NSW Health Pathology Randwick Genomics, Prince of Wales Hospital, Randwick, New South Wales, Australia
| | - Edwin P Kirk
- NSW Health Pathology Randwick Genomics, Prince of Wales Hospital, Randwick, New South Wales, Australia; School of Women's and Children's Health, University of New South Wales Sydney, Kensington, New South Wales, Australia; Centre for Clinical Genetics, Sydney Children's Hospital, Sydney, Randwick, New South Wales, Australia
| | - Guus M Teunisse
- Neuroscience Research Australia (NeuRA), Randwick, New South Wales, Australia
| | - Deborah Schofield
- Centre for Economic Impacts of Genomic Medicine, Macquarie Business School, Macquarie University, Macquarie Park, New South Wales, Australia
| | - Michael Francis Buckley
- NSW Health Pathology Randwick Genomics, Prince of Wales Hospital, Randwick, New South Wales, Australia
| | - Ying Zhu
- NSW Health Pathology Randwick Genomics, Prince of Wales Hospital, Randwick, New South Wales, Australia; Neuroscience Research Australia (NeuRA), Randwick, New South Wales, Australia; Genetics of Learning Disability Service, Hunter Genetics, Waratah Newcastle, New South Wales, Australia
| | - Tony Roscioli
- NSW Health Pathology Randwick Genomics, Prince of Wales Hospital, Randwick, New South Wales, Australia; Neuroscience Research Australia (NeuRA), Randwick, New South Wales, Australia; Centre for Clinical Genetics, Sydney Children's Hospital, Sydney, Randwick, New South Wales, Australia.
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