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Miller AR, Wijeratne S, McGrath SD, Schieffer KM, Miller KE, Lee K, Mathew M, LaHaye S, Fitch JR, Kelly BJ, White P, Mardis ER, Wilson RK, Cottrell CE, Magrini V. Pacific Biosciences Fusion and Long Isoform Pipeline for Cancer Transcriptome-Based Resolution of Isoform Complexity. J Mol Diagn 2022; 24:1292-1306. [PMID: 36191838 DOI: 10.1016/j.jmoldx.2022.09.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 08/05/2022] [Accepted: 09/13/2022] [Indexed: 01/13/2023] Open
Abstract
Genomic profiling using short-read sequencing has utility in detecting disease-associated variation in both DNA and RNA. However, given the frequent occurrence of structural variation in cancer, molecular profiling using long-read sequencing improves the resolution of such events. For example, the Pacific Biosciences long-read RNA-sequencing (Iso-Seq) transcriptome protocol provides full-length isoform characterization, discernment of allelic phasing, and isoform discovery, and identifies expressed fusion partners. The Pacific Biosciences Fusion and Long Isoform Pipeline (PB_FLIP) incorporates a suite of RNA-sequencing software analysis tools and scripts to identify expressed fusion partners and isoforms. In addition, sequencing of a commercial reference (Spike-In RNA Variants) with known isoform complexity was performed and demonstrated high recall of the Iso-Seq and PB_FLIP workflow to benchmark our protocol and analysis performance. This study describes the utility of Iso-Seq and PB_FLIP analysis in improving deconvolution of complex structural variants and isoform detection within an institutional pediatric and adolescent/young adult translational cancer research cohort. The exemplar case studies demonstrate that Iso-Seq and PB_FLIP discover novel expressed fusion partners, resolve complex intragenic alterations, and discriminate between allele-specific expression profiles.
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Affiliation(s)
- Anthony R Miller
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio
| | - Saranga Wijeratne
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio
| | - Sean D McGrath
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio
| | - Kathleen M Schieffer
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio
| | - Katherine E Miller
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio; Department of Pediatrics, The Ohio State University College of Medicine, Columbus, Ohio
| | - Kristy Lee
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio; Department of Pediatrics, The Ohio State University College of Medicine, Columbus, Ohio; Department of Pathology, The Ohio State University College of Medicine, Columbus, Ohio
| | - Mariam Mathew
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio; Department of Pediatrics, The Ohio State University College of Medicine, Columbus, Ohio; Department of Pathology, The Ohio State University College of Medicine, Columbus, Ohio
| | - Stephanie LaHaye
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio
| | - James R Fitch
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio
| | - Benjamin J Kelly
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio
| | - Peter White
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio; Department of Pediatrics, The Ohio State University College of Medicine, Columbus, Ohio
| | - Elaine R Mardis
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio; Department of Pediatrics, The Ohio State University College of Medicine, Columbus, Ohio; Department of Neurosurgery, The Ohio State University College of Medicine, Columbus, Ohio
| | - Richard K Wilson
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio; Department of Pediatrics, The Ohio State University College of Medicine, Columbus, Ohio
| | - Catherine E Cottrell
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio; Department of Pediatrics, The Ohio State University College of Medicine, Columbus, Ohio; Department of Pathology, The Ohio State University College of Medicine, Columbus, Ohio.
| | - Vincent Magrini
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio; Department of Pediatrics, The Ohio State University College of Medicine, Columbus, Ohio
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D’Agostino N, Li W, Wang D. High-throughput transcriptomics. Sci Rep 2022; 12:20313. [PMID: 36446824 PMCID: PMC9708670 DOI: 10.1038/s41598-022-23985-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Indexed: 11/30/2022] Open
Affiliation(s)
- Nunzio D’Agostino
- grid.4691.a0000 0001 0790 385XDepartment of Agricultural Sciences, University of Naples Federico II, Portici, NA Italy
| | - Wenli Li
- grid.512861.9Dairy Forage Research Center, USDA-ARS, 1925 Linden Drive, Madison, WI 53706 USA
| | - Dapeng Wang
- grid.7445.20000 0001 2113 8111National Heart and Lung Institute, Imperial College London, London, SW3 6LY UK
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Zhang J, Kaye AP, Wang J, Girgenti MJ. Transcriptomics of the depressed and PTSD brain. Neurobiol Stress 2021; 15:100408. [PMID: 34703849 PMCID: PMC8524242 DOI: 10.1016/j.ynstr.2021.100408] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 10/07/2021] [Accepted: 10/09/2021] [Indexed: 12/13/2022] Open
Abstract
Stress is the response of an organism to demands for change, yet excessive or chronic stress contributes to nearly all psychiatric disorders. The advent of high-throughput transcriptomic methods such as single cell RNA sequencing poses new opportunities to understand the neurobiology of stress, yet substantial barriers to understanding stress remain. Stress adaptation is an organismal survival mechanism conserved across all organisms, yet there is an infinity of potential stressful experiences. Unraveling shared and separate transcriptional programs for adapting to stressful experience remains a challenge, despite methodological and analytic advances. Here we review the state of the field focusing on the technologies used to study the transcriptome for the stress neurobiologist, and also attempt to identify central questions about the heterogeneity of stress for those applying transcriptomic approaches. We further explore how postmortem transcriptome studies aided by preclinical animal models are converging on common molecular pathways for adaptation to aversive experience. Finally, we discuss approaches to integrate large genomic datasets with human neuroimaging and other datasets.
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Affiliation(s)
- Jing Zhang
- Department of Computer Science, University of California- Irvine, Irvine, CA, USA
| | - Alfred P. Kaye
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Jiawei Wang
- Program of Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
| | - Matthew J. Girgenti
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- National Center for PTSD, U.S. Department of Veterans Affairs, USA
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