1
|
Masson E, Maestri S, Bordeau V, Cooper DN, Férec C, Chen JM. Alu insertion-mediated dsRNA structure formation with pre-existing Alu elements as a disease-causing mechanism. Am J Hum Genet 2024; 111:2176-2189. [PMID: 39265574 DOI: 10.1016/j.ajhg.2024.08.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Revised: 08/21/2024] [Accepted: 08/21/2024] [Indexed: 09/14/2024] Open
Abstract
We previously identified a homozygous Alu insertion variant (Alu_Ins) in the 3'-untranslated region (3'-UTR) of SPINK1 as the cause of severe infantile isolated exocrine pancreatic insufficiency. Although we established that Alu_Ins leads to the complete loss of SPINK1 mRNA expression, the precise mechanisms remained elusive. Here, we aimed to elucidate these mechanisms through a hypothesis-driven approach. Initially, we speculated that, owing to its particular location, Alu_Ins could independently disrupt mRNA 3' end formation and/or affect other post-transcriptional processes such as nuclear export and translation. However, employing a 3'-UTR luciferase reporter assay, Alu_Ins was found to result in only an ∼50% reduction in luciferase activity compared to wild type, which is insufficient to account for the severe pancreatic deficiency in the Alu_Ins homozygote. We then postulated that double-stranded RNA (dsRNA) structures formed between Alu elements, an upstream mechanism regulating gene expression, might be responsible. Using RepeatMasker, we identified two Alu elements within SPINK1's third intron, both oriented oppositely to Alu_Ins. Through RNAfold predictions and full-length gene expression assays, we investigated orientation-dependent interactions between these Alu repeats. We provide compelling evidence to link the detrimental effect of Alu_Ins to extensive dsRNA structures formed between Alu_Ins and pre-existing intronic Alu sequences, including the restoration of SPINK1 mRNA expression by aligning all three Alu elements in the same orientation. Given the widespread presence of Alu elements in the human genome and the potential for new Alu insertions at almost any locus, our findings have important implications for detecting and interpreting Alu insertions in disease genes.
Collapse
Affiliation(s)
- Emmanuelle Masson
- Univ Brest, Inserm, EFS, UMR 1078, GGB, 29200 Brest, France; CHRU Brest, 29200 Brest, France
| | - Sandrine Maestri
- Univ Brest, Inserm, EFS, UMR 1078, GGB, 29200 Brest, France; CHRU Brest, 29200 Brest, France
| | - Valérie Bordeau
- Inserm U1230 BRM (Bacterial RNAs and Medicine), Université de Rennes, 35043 Rennes, France
| | - David N Cooper
- Institute of Medical Genetics, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK
| | - Claude Férec
- Univ Brest, Inserm, EFS, UMR 1078, GGB, 29200 Brest, France
| | - Jian-Min Chen
- Univ Brest, Inserm, EFS, UMR 1078, GGB, 29200 Brest, France.
| |
Collapse
|
2
|
Nagy GÁ, Tombácz D, Prazsák I, Csabai Z, Dörmő Á, Gulyás G, Kemenesi G, Tóth GE, Holoubek J, Růžek D, Kakuk B, Boldogkői Z. Exploring the transcriptomic profile of human monkeypox virus via CAGE and native RNA sequencing approaches. mSphere 2024; 9:e0035624. [PMID: 39191390 PMCID: PMC11423596 DOI: 10.1128/msphere.00356-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Accepted: 07/31/2024] [Indexed: 08/29/2024] Open
Abstract
In this study, we employed short- and long-read sequencing technologies to delineate the transcriptional architecture of the human monkeypox virus and to identify key regulatory elements that govern its gene expression. Specifically, we conducted a transcriptomic analysis to annotate the transcription start sites (TSSs) and transcription end sites (TESs) of the virus by utilizing Cap Analysis of gene expression sequencing on the Illumina platform and direct RNA sequencing on the Oxford Nanopore technology device. Our investigations uncovered significant complexity in the use of alternative TSSs and TESs in viral genes. In this research, we also detected the promoter elements and poly(A) signals associated with the viral genes. Additionally, we identified novel genes in both the left and right variable regions of the viral genome.IMPORTANCEGenerally, gaining insight into how the transcription of a virus is regulated offers insights into the key mechanisms that control its life cycle. The recent outbreak of the human monkeypox virus has underscored the necessity of understanding the basic biology of its causative agent. Our results are pivotal for constructing a comprehensive transcriptomic atlas of the human monkeypox virus, providing valuable resources for future studies.
Collapse
Affiliation(s)
- Gergely Ármin Nagy
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
| | - Dóra Tombácz
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
| | - István Prazsák
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
| | - Zsolt Csabai
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
| | - Ákos Dörmő
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
| | - Gábor Gulyás
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
| | - Gábor Kemenesi
- National Laboratory of Virology, Szentágothai Research Centre, University of Pécs, Pécs, Hungary
- Institute of Biology, Faculty of Sciences, University of Pécs, Pécs, Hungary
| | - Gábor E Tóth
- National Laboratory of Virology, Szentágothai Research Centre, University of Pécs, Pécs, Hungary
- Institute of Biology, Faculty of Sciences, University of Pécs, Pécs, Hungary
- Bernhard Nocht Institute for Tropical Medicine, WHO Collaborating Centre for Arbovirus and Hemorrhagic Fever Reference and Research, Hamburg, Germany
| | - Jiří Holoubek
- Veterinary Research Institute, Brno, Czechia
- Institute of Parasitology, Biology Centre of the Czech Academy of Sciences, Ceske Budejovice, Czechia
- Department of Experimental Biology, Faculty of Science, Masaryk University, Brno, Czechia
| | - Daniel Růžek
- Veterinary Research Institute, Brno, Czechia
- Institute of Parasitology, Biology Centre of the Czech Academy of Sciences, Ceske Budejovice, Czechia
- Department of Experimental Biology, Faculty of Science, Masaryk University, Brno, Czechia
| | - Balázs Kakuk
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
| | - Zsolt Boldogkői
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
| |
Collapse
|
3
|
Kundu I, Varshney S, Karnati S, Naidu S. The multifaceted roles of circular RNAs in cancer hallmarks: From mechanisms to clinical implications. MOLECULAR THERAPY. NUCLEIC ACIDS 2024; 35:102286. [PMID: 39188305 PMCID: PMC11345389 DOI: 10.1016/j.omtn.2024.102286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 08/28/2024]
Abstract
Circular RNAs (circRNAs) represent a distinct class of covalently closed RNA species lacking conventional 5' to 3' polarity. Derived predominantly from pre-mRNA transcripts of protein-coding genes, circRNAs arise through back-splicing events of exon-exon or exon-intron junctions. They exhibit tissue- and cell-specific expression patterns and play crucial roles in regulating fundamental cellular processes such as cell cycle dynamics, proliferation, apoptosis, and differentiation. CircRNAs modulate gene expression through a plethora of mechanisms at epigenetic, transcriptional, and post-transcriptional levels, and some can even undergo translation into functional proteins. Recently, aberrant expression of circRNAs has emerged as a significant molecular aberration within the intricate regulatory networks governing hallmarks of cancer. The tumor-specific expression patterns and remarkable stability of circRNAs have profound implications for cancer diagnosis, prognosis, and therapy. This review comprehensively explores the multifaceted roles of circRNAs across cancer hallmarks in various tumor types, underscoring their growing significance in cancer diagnosis and therapeutic interventions. It also details strategies for leveraging circRNA-based therapies and discusses the challenges in using circRNAs for cancer management, emphasizing the need for further research to overcome these obstacles.
Collapse
Affiliation(s)
- Indira Kundu
- Department of Biomedical Engineering, Indian Institute of Technology Ropar, Rupnagar, Punjab, India
| | - Shivani Varshney
- Department of Biomedical Engineering, Indian Institute of Technology Ropar, Rupnagar, Punjab, India
| | - Srikanth Karnati
- Institute of Anatomy and Cell Biology, University of Würzburg, 97070 Würzburg, Germany
- Comprehensive Heart Failure Center, University Hospital Würzburg, Würzburg, Germany
| | - Srivatsava Naidu
- Department of Biomedical Engineering, Indian Institute of Technology Ropar, Rupnagar, Punjab, India
| |
Collapse
|
4
|
Wang Y, Zhang J, Yang Y, Liu Z, Sun S, Li R, Zhu H, Li T, Zheng J, Li J, Ma L. Circular RNAs in human diseases. MedComm (Beijing) 2024; 5:e699. [PMID: 39239069 PMCID: PMC11374765 DOI: 10.1002/mco2.699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 07/25/2024] [Accepted: 07/30/2024] [Indexed: 09/07/2024] Open
Abstract
Circular RNAs (circRNAs) are a unique class of RNA molecules formed through back-splicing rather than linear splicing. As an emerging field in molecular biology, circRNAs have garnered significant attention due to their distinct structure and potential functional implications. A comprehensive understanding of circRNAs' functions and potential clinical applications remains elusive despite accumulating evidence of their involvement in disease pathogenesis. Recent research highlights their significant roles in various human diseases, but comprehensive reviews on their functions and applications remain scarce. This review provides an in-depth examination of circRNAs, focusing first on their involvement in non-neoplastic diseases such as respiratory, endocrine, metabolic, musculoskeletal, cardiovascular, and renal disorders. We then explore their roles in tumors, with particular emphasis on exosomal circular RNAs, which are crucial for cancer initiation, progression, and resistance to treatment. By detailing their biogenesis, functions, and impact on disease mechanisms, this review underscores the potential of circRNAs as diagnostic biomarkers and therapeutic targets. The review not only enhances our understanding of circRNAs' roles in specific diseases and tumor types but also highlights their potential as novel diagnostic and therapeutic tools, thereby paving the way for future clinical investigations and potential therapeutic interventions.
Collapse
Affiliation(s)
- Yuanyong Wang
- Department of Thoracic Surgery Tangdu Hospital Air Force Medical University Xi'an China
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education) The First Department of Thoracic Surgery Peking University Cancer Hospital and Institute Peking University School of Oncology Beijing China
| | - Jin Zhang
- Department of Traditional Chinese Medicine Tangdu Hospital Air Force Medical University Xi'an China
- Key Laboratory of Integrated Traditional Chinese and Western Medicine Tumor Diagnosis and Treatment in Shaanxi Province Xi'an China
| | - Yuchen Yang
- Department of Traditional Chinese Medicine Tangdu Hospital Air Force Medical University Xi'an China
- Key Laboratory of Integrated Traditional Chinese and Western Medicine Tumor Diagnosis and Treatment in Shaanxi Province Xi'an China
| | - Zhuofeng Liu
- Department of Traditional Chinese Medicine The Third Affiliated Hospital of Xi'an Medical University Xi'an China
| | - Sijia Sun
- Department of Traditional Chinese Medicine Tangdu Hospital Air Force Medical University Xi'an China
- Key Laboratory of Integrated Traditional Chinese and Western Medicine Tumor Diagnosis and Treatment in Shaanxi Province Xi'an China
| | - Rui Li
- Department of Epidemiology School of Public Health Air Force Medical University Xi'an China
| | - Hui Zhu
- Department of Anatomy Medical College of Yan'an University Yan'an China
- Institute of Medical Research Northwestern Polytechnical University Xi'an China
| | - Tian Li
- School of Basic Medicine Fourth Military Medical University Xi'an China
| | - Jin Zheng
- Department of Traditional Chinese Medicine Tangdu Hospital Air Force Medical University Xi'an China
- Key Laboratory of Integrated Traditional Chinese and Western Medicine Tumor Diagnosis and Treatment in Shaanxi Province Xi'an China
| | - Jie Li
- Department of Endocrine Xijing 986 Hospital Air Force Medical University Xi'an China
| | - Litian Ma
- Department of Thoracic Surgery Tangdu Hospital Air Force Medical University Xi'an China
- Department of Traditional Chinese Medicine Tangdu Hospital Air Force Medical University Xi'an China
- Key Laboratory of Integrated Traditional Chinese and Western Medicine Tumor Diagnosis and Treatment in Shaanxi Province Xi'an China
- Department of Gastroenterology Tangdu Hospital Air Force Medical University Xi'an China
- School of Medicine Northwest University Xi'an China
| |
Collapse
|
5
|
Zhang J, Luo Z, Zheng Y, Duan M, Qiu Z, Huang C. CircRNA as an Achilles heel of cancer: characterization, biomarker and therapeutic modalities. J Transl Med 2024; 22:752. [PMID: 39127679 DOI: 10.1186/s12967-024-05562-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2024] [Accepted: 07/31/2024] [Indexed: 08/12/2024] Open
Abstract
Circular RNAs (circRNAs) are a class of endogenous noncoding RNAs characterized by their lack of 5' caps and 3' poly(A) tails. These molecules have garnered substantial attention from the scientific community. A wide range of circRNA types has been found to be expressed in various tissues of the human body, exhibiting unique characteristics such as high abundance, remarkable stability, and tissue-specific expression patterns. These attributes, along with their detectability in liquid biopsy samples such as plasma, position circRNAs an ideal choice as cancer diagnostic and prognostic biomarkers. Additionally, several studies have reported that the functions of circRNAs are associated with tumor proliferation, metastasis, and drug resistance. They achieve this through various mechanisms, including modulation of parental gene expression, regulation of gene transcription, acting as microRNA (miRNA) sponges, and encoding functional proteins. In recent years, a large number of studies have focused on synthesizing circRNAs in vitro and delivering them to tumor tissue to exert its effects in inhibit tumor progression. Herein, we briefly discuss the biogenesis, characteristics, functions, and detection of circRNAs, emphasizing their clinical potential as biomarkers for cancer diagnosis and prognosis. We also provide an overview the recent techniques for synthesizing circRNAs and delivery strategies, and outline the application of engineered circRNAs in clinical cancer therapy.
Collapse
Affiliation(s)
- Jun Zhang
- Department of Gastrointestinal Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 100 Haining Road, Hongkou District, Shanghai, 200080, China
| | - Zai Luo
- Department of Gastrointestinal Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 100 Haining Road, Hongkou District, Shanghai, 200080, China.
| | - Yang Zheng
- Department of Gastrointestinal Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 100 Haining Road, Hongkou District, Shanghai, 200080, China
| | - Mingyu Duan
- Department of Education, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 650 Xinsongjiang Road, Songjiang District, Shanghai, 201600, China
| | - Zhengjun Qiu
- Department of Gastrointestinal Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 100 Haining Road, Hongkou District, Shanghai, 200080, China
| | - Chen Huang
- Department of Gastrointestinal Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 100 Haining Road, Hongkou District, Shanghai, 200080, China.
| |
Collapse
|
6
|
Mittal S, Jena MK, Pathak B. Machine Learning-Assisted Direct RNA Sequencing with Epigenetic RNA Modification Detection via Quantum Tunneling. Anal Chem 2024; 96:11516-11524. [PMID: 38874444 DOI: 10.1021/acs.analchem.4c02199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2024]
Abstract
RNA sequence information holds immense potential as a drug target for diagnosing various RNA-mediated diseases and viral/bacterial infections. Massively parallel complementary DNA (c-DNA) sequencing helps but results in a loss of valuable information about RNA modifications, which are often associated with cancer evolution. Herein, we report machine learning (ML)-assisted high throughput RNA sequencing with inherent RNA modification detection using a single-molecule, long-read, and label-free quantum tunneling approach. The ML tools achieve classification accuracy as high as 100% in decoding RNA and 98% for decoding both RNA and RNA modifications simultaneously. The relationships between input features and target values have been well examined through Shapley additive explanations. Furthermore, transmission and sensitivity readouts enable the recognition of RNA and its modifications with good selectivity and sensitivity. Our approach represents a starting point for ML-assisted direct RNA sequencing that can potentially decode RNA and its epigenetic modifications at the molecular level.
Collapse
Affiliation(s)
- Sneha Mittal
- Department of Chemistry, Indian Institute of Technology (IIT) Indore, Indore, Madhya Pradesh 453552, India
| | - Milan Kumar Jena
- Department of Chemistry, Indian Institute of Technology (IIT) Indore, Indore, Madhya Pradesh 453552, India
| | - Biswarup Pathak
- Department of Chemistry, Indian Institute of Technology (IIT) Indore, Indore, Madhya Pradesh 453552, India
| |
Collapse
|
7
|
Digby B, Finn S, Ó Broin P. Computational approaches and challenges in the analysis of circRNA data. BMC Genomics 2024; 25:527. [PMID: 38807085 PMCID: PMC11134749 DOI: 10.1186/s12864-024-10420-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Accepted: 05/15/2024] [Indexed: 05/30/2024] Open
Abstract
Circular RNAs (circRNA) are a class of non-coding RNA, forming a single-stranded covalently closed loop structure generated via back-splicing. Advancements in sequencing methods and technologies in conjunction with algorithmic developments of bioinformatics tools have enabled researchers to characterise the origin and function of circRNAs, with practical applications as a biomarker of diseases becoming increasingly relevant. Computational methods developed for circRNA analysis are predicated on detecting the chimeric back-splice junction of circRNAs whilst mitigating false-positive sequencing artefacts. In this review, we discuss in detail the computational strategies developed for circRNA identification, highlighting a selection of tool strengths, weaknesses and assumptions. In addition to circRNA identification tools, we describe methods for characterising the role of circRNAs within the competing endogenous RNA (ceRNA) network, their interactions with RNA-binding proteins, and publicly available databases for rich circRNA annotation.
Collapse
Affiliation(s)
- Barry Digby
- School of Mathematical and Statistical Sciences, University of Galway, Galway, Ireland.
| | - Stephen Finn
- Discipline of Histopathology, School of Medicine, Trinity College Dublin and Cancer Molecular Diagnostic Laboratory, Dublin, Ireland
| | - Pilib Ó Broin
- School of Mathematical and Statistical Sciences, University of Galway, Galway, Ireland
| |
Collapse
|
8
|
Ji CM, Feng XY, Huang YW, Chen RA. The Applications of Nanopore Sequencing Technology in Animal and Human Virus Research. Viruses 2024; 16:798. [PMID: 38793679 PMCID: PMC11125791 DOI: 10.3390/v16050798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 05/07/2024] [Accepted: 05/13/2024] [Indexed: 05/26/2024] Open
Abstract
In recent years, an increasing number of viruses have triggered outbreaks that pose a severe threat to both human and animal life, as well as caused substantial economic losses. It is crucial to understand the genomic structure and epidemiology of these viruses to guide effective clinical prevention and treatment strategies. Nanopore sequencing, a third-generation sequencing technology, has been widely used in genomic research since 2014. This technology offers several advantages over traditional methods and next-generation sequencing (NGS), such as the ability to generate ultra-long reads, high efficiency, real-time monitoring and analysis, portability, and the ability to directly sequence RNA or DNA molecules. As a result, it exhibits excellent applicability and flexibility in virus research, including viral detection and surveillance, genome assembly, the discovery of new variants and novel viruses, and the identification of chemical modifications. In this paper, we provide a comprehensive review of the development, principles, advantages, and applications of nanopore sequencing technology in animal and human virus research, aiming to offer fresh perspectives for future studies in this field.
Collapse
Affiliation(s)
- Chun-Miao Ji
- Zhaoqing Branch Center of Guangdong Laboratory for Lingnan Modern Agricultural Science and Technology, Zhaoqing 526238, China; (C.-M.J.); (X.-Y.F.)
| | - Xiao-Yin Feng
- Zhaoqing Branch Center of Guangdong Laboratory for Lingnan Modern Agricultural Science and Technology, Zhaoqing 526238, China; (C.-M.J.); (X.-Y.F.)
| | - Yao-Wei Huang
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China;
- Department of Veterinary Medicine, Zhejiang University, Hangzhou 310058, China
| | - Rui-Ai Chen
- Zhaoqing Branch Center of Guangdong Laboratory for Lingnan Modern Agricultural Science and Technology, Zhaoqing 526238, China; (C.-M.J.); (X.-Y.F.)
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China;
| |
Collapse
|
9
|
Chen BJ, Lin CH, Wu HY, Cai JJ, Chao DY. Experimental and analytical pipeline for sub-genomic RNA landscape of coronavirus by Nanopore sequencer. Microbiol Spectr 2024; 12:e0395423. [PMID: 38483513 PMCID: PMC10986531 DOI: 10.1128/spectrum.03954-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 02/26/2024] [Indexed: 04/06/2024] Open
Abstract
Coronaviruses (CoVs), including severe acute respiratory syndrome coronavirus 2, can infect a variety of mammalian and avian hosts with significant medical and economic consequences. During the life cycle of CoV, a coordinated series of subgenomic RNAs, including canonical subgenomic messenger RNA and non-canonical defective viral genomes (DVGs), are generated with different biological implications. Studies that adopted the Nanopore sequencer (ONT) to investigate the landscape and dynamics of viral RNA subgenomic transcriptomes applied arbitrary bioinformatics parameters without justification or experimental validation. The current study used bovine coronavirus (BCoV), which can be performed under biosafety level 2 for library construction and experimental validation using traditional colony polymerase chain reaction and Sanger sequencing. Four different ONT protocols, including RNA direct and cDNA direct sequencing with or without exonuclease treatment, were used to generate RNA transcriptomic libraries from BCoV-infected cell lysates. Through rigorously examining the k-mer, gap size, segment size, and bin size, the optimal cutoffs for the bioinformatic pipeline were determined to remove the sequence noise while keeping the informative DVG reads. The sensitivity and specificity of identifying DVG reads using the proposed pipeline can reach 82.6% and 99.6% under the k-mer size cutoff of 15. Exonuclease treatment reduced the abundance of RNA transcripts; however, it was not necessary for future library preparation. Additional recovery of clipped BCoV nucleotide sequences with experimental validation expands the landscape of the CoV discontinuous RNA transcriptome, whose biological function requires future investigation. The results of this study provide the benchmarks for library construction and bioinformatic parameters for studying the discontinuous CoV RNA transcriptome.IMPORTANCEFunctional defective viral genomic RNA, containing all the cis-acting elements required for translation or replication, may play different roles in triggering cell innate immune signaling, interfering with the canonical subgenomic messenger RNA transcription/translation or assisting in establishing persistence infection. This study does not only provide benchmarks for library construction and bioinformatic parameters for studying the discontinuous coronavirus RNA transcriptome but also reveals the complexity of the bovine coronavirus transcriptome, whose functional assays will be critical in future studies.
Collapse
Affiliation(s)
- Bo-Jia Chen
- Doctoral Program in Microbial Genomics, National Chung Hsing University and Academia Sinica, Taichung, Taiwan
| | - Ching-Hung Lin
- Graduate Institute of Veterinary Pathobiology, College of Veterinary Medicine, National Chung Hsing University, Taichung, Taiwan
| | - Hung-Yi Wu
- Graduate Institute of Veterinary Pathobiology, College of Veterinary Medicine, National Chung Hsing University, Taichung, Taiwan
| | - James J. Cai
- Department of Veterinary Integrative Biosciences, Texas A&M University, College Station, Texas, USA
| | - Day-Yu Chao
- Doctoral Program in Microbial Genomics, National Chung Hsing University and Academia Sinica, Taichung, Taiwan
- Graduate Institute of Microbiology and Public Health, College of Veterinary Medicine, National Chung Hsing University, Taichung, Taiwan
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan
| |
Collapse
|
10
|
Levanon EY, Cohen-Fultheim R, Eisenberg E. In search of critical dsRNA targets of ADAR1. Trends Genet 2024; 40:250-259. [PMID: 38160061 DOI: 10.1016/j.tig.2023.12.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 12/04/2023] [Accepted: 12/04/2023] [Indexed: 01/03/2024]
Abstract
Recent studies have underscored the pivotal role of adenosine-to-inosine RNA editing, catalyzed by ADAR1, in suppressing innate immune interferon responses triggered by cellular double-stranded RNA (dsRNA). However, the specific ADAR1 editing targets crucial for this regulatory function remain elusive. We review analyses of transcriptome-wide ADAR1 editing patterns and their evolutionary dynamics, which offer valuable insights into this unresolved query. The growing appreciation of the significance of immunogenic dsRNAs and their editing in inflammatory and autoimmune diseases and cancer calls for a more comprehensive understanding of dsRNA immunogenicity, which may promote our understanding of these diseases and open doors to therapeutic avenues.
Collapse
Affiliation(s)
- Erez Y Levanon
- Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat Gan 5290002, Israel.
| | - Roni Cohen-Fultheim
- Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat Gan 5290002, Israel
| | - Eli Eisenberg
- Raymond and Beverly Sackler School of Physics and Astronomy, Tel Aviv, University, Tel Aviv 6997801, Israel.
| |
Collapse
|
11
|
Feng F, Yuen R, Wang Y, Hua A, Kepler TB, Wetzler LM. Characterizing adjuvants' effects at murine immunoglobulin repertoire level. iScience 2024; 27:108749. [PMID: 38269092 PMCID: PMC10805652 DOI: 10.1016/j.isci.2023.108749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 09/29/2023] [Accepted: 12/12/2023] [Indexed: 01/26/2024] Open
Abstract
Generating large-scale, high-fidelity sequencing data is challenging and, furthermore, not much has been done to characterize adjuvants' effects at the repertoire level. Thus, we introduced an IgSeq pipeline that standardized library prep protocols and data analysis functions for accurate repertoire profiling. We then studied systemically effects of CpG and Alum on the Ig heavy chain repertoire using the ovalbumin (OVA) murine model. Ig repertoires of different tissues (spleen and bone marrow) and isotypes (IgG and IgM) were examined and compared in IGHV mutation, gene usage, CDR3 length, clonal diversity, and clonal selection. We found Ig repertoires of different compartments exhibited distinguishable profiles at the non-immunized steady state, and distinctions became more pronounced upon adjuvanted immunizations. Notably, Alum and CpG effects exhibited different tissue- and isotype-preferences. The former led to increased diversity of abundant clones in bone marrow, and the latter promoted the selection of IgG clones in both tissues.
Collapse
Affiliation(s)
- Feng Feng
- Department of Microbiology, Boston University, Boston, MA 02118, USA
| | - Rachel Yuen
- Department of Microbiology, Boston University, Boston, MA 02118, USA
| | - Yumei Wang
- Department of Microbiology, Boston University, Boston, MA 02118, USA
| | - Axin Hua
- Department of Microbiology, Boston University, Boston, MA 02118, USA
| | - Thomas B. Kepler
- Department of Microbiology, Boston University, Boston, MA 02118, USA
- Department of Mathematics and Statistics, Boston University, Boston, MA 02118, USA
| | - Lee M. Wetzler
- Department of Microbiology, Boston University, Boston, MA 02118, USA
- Department of Medicine, Boston University School of Medicine, Boston University, Boston, MA 02118, USA
| |
Collapse
|
12
|
Masante L, Susin G, Baudet ML. Droplet Digital PCR for the Detection and Quantification of Bona Fide CircRNAs. Methods Mol Biol 2024; 2765:107-126. [PMID: 38381336 DOI: 10.1007/978-1-0716-3678-7_6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/22/2024]
Abstract
CircRNAs are covalently closed RNA molecules gaining increasing attention over the years. Initially considered mere splicing errors, circRNAs are now recognized as a novel class of endogenous, conserved RNAs, expressed in many different species. The unique structure, the low levels of expression, and the almost complete sequence overlap with the cognate linear RNA make their detection and quantification challenging. Moreover, it has become crucial to prove the circular nature of the targeted transcript and unequivocally distinguish the circRNA from its linear counterpart. Nowadays, the most widely used technique to quantify circRNA expression is real-time quantitative PCR (qPCR). However, in the particular case of quantification of circles, it shows several technical shortcomings which affect the accuracy of the quantification. To precisely assess circRNA expression level, droplet digital PCR (ddPCR) is rapidly taking over for the more popular qPCR. In this chapter, we describe the detailed procedure based on droplets partitioning to quantify both linear and circRNA abundancy and demonstrate the circularity of the transcript under study with high precision, in a single experiment.
Collapse
Affiliation(s)
- Linda Masante
- Department of Cellular, Computational and Integrative Biology - CIBIO, University of Trento, Trento, Italy
| | - Giorgia Susin
- Department of Cellular, Computational and Integrative Biology - CIBIO, University of Trento, Trento, Italy
| | - Marie-Laure Baudet
- Department of Cellular, Computational and Integrative Biology - CIBIO, University of Trento, Trento, Italy.
| |
Collapse
|
13
|
Shu H, Zhang Z, Liu J, Chen P, Yang C, Wu Y, Wu D, Cao Y, Chu Y, Li L. Circular RNAs: An emerging precise weapon for diabetic nephropathy diagnosis and therapy. Biomed Pharmacother 2023; 168:115818. [PMID: 37939612 DOI: 10.1016/j.biopha.2023.115818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Revised: 10/28/2023] [Accepted: 10/31/2023] [Indexed: 11/10/2023] Open
Abstract
Diabetic nephropathy (DN) is a prevalent chronic microvascular complication associated with diabetes mellitus and represents a major cause of chronic kidney disease and renal failure. Current treatment strategies for DN primarily focus on symptom alleviation, lacking effective approaches to halt or reverse DN progression. Circular RNA (circRNA), characterized by a closed-loop structure, has emerged as a novel non-coding RNA regulator of gene expression, attributed to its conservation, stability, specificity, and multifunctionality. Dysregulation of circRNA expression is closely associated with DN progression, whereby circRNA impacts kidney cell injury by modulating cell cycle, differentiation, cell death, as well as influencing the release of inflammatory factors and stromal fibronectin expression. Consequently, circRNA is considered a predictive biomarker and a potential therapeutic target for DN. This review provides an overview of the latest research progress in the classification, functions, monitoring methods, and databases related to circRNA. The paper focuses on elucidating the impact and underlying mechanisms of circRNA on kidney cells under diabetic conditions, aiming to offer novel insights into the prevention, diagnosis, and treatment of DN.
Collapse
Affiliation(s)
- Haiying Shu
- Heilongjiang Key Laboratory of Anti-Fibrosis Biotherapy, Mudanjiang Medical University, Mudanjiang, China; College of Life Sciences, Mudanjiang Medical University, Mudanjiang, China
| | - Zhen Zhang
- Heilongjiang Key Laboratory of Anti-Fibrosis Biotherapy, Mudanjiang Medical University, Mudanjiang, China; School of First Clinical Medical College, Mudanjiang Medical University, Mudanjiang, China
| | - Jieting Liu
- College of Life Sciences, Mudanjiang Medical University, Mudanjiang, China.
| | - Peijian Chen
- Heilongjiang Key Laboratory of Anti-Fibrosis Biotherapy, Mudanjiang Medical University, Mudanjiang, China; College of Life Sciences, Mudanjiang Medical University, Mudanjiang, China
| | - Can Yang
- Heilongjiang Key Laboratory of Anti-Fibrosis Biotherapy, Mudanjiang Medical University, Mudanjiang, China; College of Life Sciences, Mudanjiang Medical University, Mudanjiang, China
| | - Yan Wu
- Heilongjiang Key Laboratory of Anti-Fibrosis Biotherapy, Mudanjiang Medical University, Mudanjiang, China; College of Life Sciences, Mudanjiang Medical University, Mudanjiang, China
| | - Dan Wu
- Heilongjiang Key Laboratory of Anti-Fibrosis Biotherapy, Mudanjiang Medical University, Mudanjiang, China; College of Life Sciences, Mudanjiang Medical University, Mudanjiang, China
| | - Yanan Cao
- Heilongjiang Key Laboratory of Anti-Fibrosis Biotherapy, Mudanjiang Medical University, Mudanjiang, China; College of Life Sciences, Mudanjiang Medical University, Mudanjiang, China
| | - Yanhui Chu
- College of Life Sciences, Mudanjiang Medical University, Mudanjiang, China.
| | - Luxin Li
- Heilongjiang Key Laboratory of Anti-Fibrosis Biotherapy, Mudanjiang Medical University, Mudanjiang, China; College of Life Sciences, Mudanjiang Medical University, Mudanjiang, China.
| |
Collapse
|
14
|
Liu Z, Zhu C, Steinmetz LM, Wei W. Identification and quantification of small exon-containing isoforms in long-read RNA sequencing data. Nucleic Acids Res 2023; 51:e104. [PMID: 37843096 PMCID: PMC10639058 DOI: 10.1093/nar/gkad810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 08/03/2023] [Accepted: 09/20/2023] [Indexed: 10/17/2023] Open
Abstract
Small exons are pervasive in transcriptomes across organisms, and their quantification in RNA isoforms is crucial for understanding gene functions. Although long-read RNA-seq based on Oxford Nanopore Technologies (ONT) offers the advantage of covering transcripts in full length, its lower base accuracy poses challenges for identifying individual exons, particularly microexons (≤ 30 nucleotides). Here, we systematically assess small exons quantification in synthetic and human ONT RNA-seq datasets. We demonstrate that reads containing small exons are often not properly aligned, affecting the quantification of relevant transcripts. Thus, we develop a local-realignment method for misaligned exons (MisER), which remaps reads with misaligned exons to the transcript references. Using synthetic and simulated datasets, we demonstrate the high sensitivity and specificity of MisER for the quantification of transcripts containing small exons. Moreover, MisER enabled us to identify small exons with a higher percent spliced-in index (PSI) in neural, particularly neural-regulated microexons, when comparing 14 neural to 16 non-neural tissues in humans. Our work introduces an improved quantification method for long-read RNA-seq and especially facilitates studies using ONT long-reads to elucidate the regulation of genes involving small exons.
Collapse
Affiliation(s)
- Zhen Liu
- Lingang Laboratory, Shanghai, Shanghai 200031, China
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, Shanghai 200031, China
| | - Chenchen Zhu
- Department of Genetics, School of Medicine, Stanford University, Stanford, CA 94305, USA
| | - Lars M Steinmetz
- Department of Genetics, School of Medicine, Stanford University, Stanford, CA 94305, USA
- Stanford Genome Technology Center, Stanford University, Palo Alto, CA 94304, USA
| | - Wu Wei
- Lingang Laboratory, Shanghai, Shanghai 200031, China
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, Shanghai 200031, China
- Center for Biomedical Informatics, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, Shanghai 200040, China
| |
Collapse
|
15
|
Yamamoto R, Liu Z, Choudhury M, Xiao X. dsRID: in silico identification of dsRNA regions using long-read RNA-seq data. Bioinformatics 2023; 39:btad649. [PMID: 37871161 PMCID: PMC10628436 DOI: 10.1093/bioinformatics/btad649] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 10/02/2023] [Accepted: 10/20/2023] [Indexed: 10/25/2023] Open
Abstract
MOTIVATION Double-stranded RNAs (dsRNAs) are potent triggers of innate immune responses upon recognition by cytosolic dsRNA sensor proteins. Identification of endogenous dsRNAs helps to better understand the dsRNAome and its relevance to innate immunity related to human diseases. RESULTS Here, we report dsRID (double-stranded RNA identifier), a machine-learning-based method to predict dsRNA regions in silico, leveraging the power of long-read RNA-sequencing (RNA-seq) and molecular traits of dsRNAs. Using models trained with PacBio long-read RNA-seq data derived from Alzheimer's disease (AD) brain, we show that our approach is highly accurate in predicting dsRNA regions in multiple datasets. Applied to an AD cohort sequenced by the ENCODE consortium, we characterize the global dsRNA profile with potentially distinct expression patterns between AD and controls. Together, we show that dsRID provides an effective approach to capture global dsRNA profiles using long-read RNA-seq data. AVAILABILITY AND IMPLEMENTATION Software implementation of dsRID, and genomic coordinates of regions predicted by dsRID in all samples are available at the GitHub repository: https://github.com/gxiaolab/dsRID.
Collapse
Affiliation(s)
- Ryo Yamamoto
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, CA 90095-1570, United States
| | - Zhiheng Liu
- Department of Integrative Biology and Physiology, University of California, Los Angeles, CA 90095-7246, United States
| | - Mudra Choudhury
- Department of Integrative Biology and Physiology, University of California, Los Angeles, CA 90095-7246, United States
| | - Xinshu Xiao
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, CA 90095-1570, United States
- Department of Integrative Biology and Physiology, University of California, Los Angeles, CA 90095-7246, United States
- Molecular Biology Institute, University of California, Los Angeles, CA 90095-1570, United States
| |
Collapse
|
16
|
Kainth AS, Haddad GA, Hall JM, Ruthenburg AJ. Merging short and stranded long reads improves transcript assembly. PLoS Comput Biol 2023; 19:e1011576. [PMID: 37883581 PMCID: PMC10629667 DOI: 10.1371/journal.pcbi.1011576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 11/07/2023] [Accepted: 10/05/2023] [Indexed: 10/28/2023] Open
Abstract
Long-read RNA sequencing has arisen as a counterpart to short-read sequencing, with the potential to capture full-length isoforms, albeit at the cost of lower depth. Yet this potential is not fully realized due to inherent limitations of current long-read assembly methods and underdeveloped approaches to integrate short-read data. Here, we critically compare the existing methods and develop a new integrative approach to characterize a particularly challenging pool of low-abundance long noncoding RNA (lncRNA) transcripts from short- and long-read sequencing in two distinct cell lines. Our analysis reveals severe limitations in each of the sequencing platforms. For short-read assemblies, coverage declines at transcript termini resulting in ambiguous ends, and uneven low coverage results in segmentation of a single transcript into multiple transcripts. Conversely, long-read sequencing libraries lack depth and strand-of-origin information in cDNA-based methods, culminating in erroneous assembly and quantitation of transcripts. We also discover a cDNA synthesis artifact in long-read datasets that markedly impacts the identity and quantitation of assembled transcripts. Towards remediating these problems, we develop a computational pipeline to "strand" long-read cDNA libraries that rectifies inaccurate mapping and assembly of long-read transcripts. Leveraging the strengths of each platform and our computational stranding, we also present and benchmark a hybrid assembly approach that drastically increases the sensitivity and accuracy of full-length transcript assembly on the correct strand and improves detection of biological features of the transcriptome. When applied to a challenging set of under-annotated and cell-type variable lncRNA, our method resolves the segmentation problem of short-read sequencing and the depth problem of long-read sequencing, resulting in the assembly of coherent transcripts with precise 5' and 3' ends. Our workflow can be applied to existing datasets for superior demarcation of transcript ends and refined isoform structure, which can enable better differential gene expression analyses and molecular manipulations of transcripts.
Collapse
Affiliation(s)
- Amoldeep S. Kainth
- Department of Molecular Genetics and Cell Biology, The University of Chicago, Chicago, Illinois, United States of America
| | - Gabriela A. Haddad
- Committee on Genetics, Genomics and Systems Biology, The University of Chicago, Chicago, Illinois, United States of America
| | - Johnathon M. Hall
- Department of Molecular Genetics and Cell Biology, The University of Chicago, Chicago, Illinois, United States of America
| | - Alexander J. Ruthenburg
- Department of Molecular Genetics and Cell Biology, The University of Chicago, Chicago, Illinois, United States of America
- Committee on Genetics, Genomics and Systems Biology, The University of Chicago, Chicago, Illinois, United States of America
- Department of Biochemistry and Molecular Biology, The University of Chicago, Chicago, Illinois, United States of America
| |
Collapse
|
17
|
Bhardwaj V, Singh A, Choudhary A, Dalavi R, Ralte L, Chawngthu RL, Senthil Kumar N, Vijay N, Chande A. HIV-1 Vpr induces ciTRAN to prevent transcriptional repression of the provirus. SCIENCE ADVANCES 2023; 9:eadh9170. [PMID: 37672576 PMCID: PMC10482341 DOI: 10.1126/sciadv.adh9170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 08/02/2023] [Indexed: 09/08/2023]
Abstract
The functional consequences of circular RNA (circRNA) expression on HIV-1 replication are largely unknown. Using a customized protocol involving direct RNA nanopore sequencing, here, we captured circRNAs from HIV-1-infected T cells and identified ciTRAN, a circRNA that modulates HIV-1 transcription. We found that HIV-1 infection induces ciTRAN expression in a Vpr-dependent manner and that ciTRAN interacts with SRSF1, a protein known to repress HIV-1 transcription. Our results suggest that HIV-1 hijacks ciTRAN to exclude serine/arginine-rich splicing factor 1 (SRSF1) from the viral transcriptional complex, thereby promoting efficient viral transcription. In addition, we demonstrate that an SRSF1-inspired mimic can inhibit viral transcription regardless of ciTRAN induction. The hijacking of a host circRNA thus represents a previously unknown facet of primate lentiviruses in overcoming transmission bottlenecks.
Collapse
Affiliation(s)
- Vipin Bhardwaj
- Molecular Virology Laboratory, Department of Biological Sciences, Indian Institute of Science Education and Research (IISER), Bhopal, India
| | - Aman Singh
- Molecular Virology Laboratory, Department of Biological Sciences, Indian Institute of Science Education and Research (IISER), Bhopal, India
| | - Aditi Choudhary
- Molecular Virology Laboratory, Department of Biological Sciences, Indian Institute of Science Education and Research (IISER), Bhopal, India
| | - Rishikesh Dalavi
- Molecular Virology Laboratory, Department of Biological Sciences, Indian Institute of Science Education and Research (IISER), Bhopal, India
| | | | | | | | - Nagarjun Vijay
- Computational and Evolutionary Genomics Laboratory, Department of Biological Sciences, Indian Institute of Science Education and Research (IISER), Bhopal, India
| | - Ajit Chande
- Molecular Virology Laboratory, Department of Biological Sciences, Indian Institute of Science Education and Research (IISER), Bhopal, India
| |
Collapse
|
18
|
Chen YC, Chen CY, Chiang TW, Chan MH, Hsiao M, Ke HM, Tsai I, Chuang TJ. Detecting intragenic trans-splicing events from non-co-linearly spliced junctions by hybrid sequencing. Nucleic Acids Res 2023; 51:7777-7797. [PMID: 37497782 PMCID: PMC10450196 DOI: 10.1093/nar/gkad623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 07/14/2023] [Indexed: 07/28/2023] Open
Abstract
Trans-spliced RNAs (ts-RNAs) are a type of non-co-linear (NCL) transcripts that consist of exons in an order topologically inconsistent with the corresponding DNA template. Detecting ts-RNAs is often interfered by experimental artifacts, circular RNAs (circRNAs) and genetic rearrangements. Particularly, intragenic ts-RNAs, which are derived from separate precursor mRNA molecules of the same gene, are often mistaken for circRNAs through analyses of RNA-seq data. Here we developed a bioinformatics pipeline (NCLscan-hybrid), which integrated short and long RNA-seq reads to minimize false positives and proposed out-of-circle and rolling-circle long reads to distinguish between intragenic ts-RNAs and circRNAs. Combining NCLscan-hybrid screening and multiple experimental validation steps successfully confirmed that four NCL events, which were previously regarded as circRNAs in databases, originated from trans-splicing. CRISPR-based endogenous genome modification experiments further showed that flanking intronic complementary sequences can significantly contribute to ts-RNA formation, providing an efficient/specific method to deplete ts-RNAs. We also experimentally validated that one ts-RNA (ts-ARFGEF1) played an important role for p53-mediated apoptosis through affecting the PERK/eIF2a/ATF4/CHOP signaling pathway in breast cancer cells. This study thus described both bioinformatics procedures and experimental validation steps for rigorous characterization of ts-RNAs, expanding future studies for identification, biogenesis, and function of these important but understudied transcripts.
Collapse
Affiliation(s)
- Yu-Chen Chen
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Chia-Ying Chen
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Tai-Wei Chiang
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Ming-Hsien Chan
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
- Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Michael Hsiao
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Huei-Mien Ke
- Biodiversity Research Center, Academia Sinica, Taipei, Taiwan
- Department of Microbiology, Soochow University, Taipei, Taiwan
| | | | | |
Collapse
|
19
|
Liu Z, Quinones-Valdez G, Fu T, Huang E, Choudhury M, Reese F, Mortazavi A, Xiao X. L-GIREMI uncovers RNA editing sites in long-read RNA-seq. Genome Biol 2023; 24:171. [PMID: 37474948 PMCID: PMC10360234 DOI: 10.1186/s13059-023-03012-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 07/12/2023] [Indexed: 07/22/2023] Open
Abstract
Although long-read RNA-seq is increasingly applied to characterize full-length transcripts it can also enable detection of nucleotide variants, such as genetic mutations or RNA editing sites, which is significantly under-explored. Here, we present an in-depth study to detect and analyze RNA editing sites in long-read RNA-seq. Our new method, L-GIREMI, effectively handles sequencing errors and read biases. Applied to PacBio RNA-seq data, L-GIREMI affords a high accuracy in RNA editing identification. Additionally, our analysis uncovered novel insights about RNA editing occurrences in single molecules and double-stranded RNA structures. L-GIREMI provides a valuable means to study nucleotide variants in long-read RNA-seq.
Collapse
Affiliation(s)
- Zhiheng Liu
- Department of Integrative Biology and Physiology, University of California, Los Angeles, CA, USA
| | - Giovanni Quinones-Valdez
- Department of Integrative Biology and Physiology, University of California, Los Angeles, CA, USA
| | - Ting Fu
- Molecular, Cellular, and Integrative Physiology Interdepartmental Program, University of California, Los Angeles, CA, USA
| | - Elaine Huang
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, CA, USA
| | - Mudra Choudhury
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, CA, USA
| | - Fairlie Reese
- Department of Developmental and Cell Biology, University of California, Irvine, CA, USA
- Center for Complex Biological Systems, University of California, Irvine, CA, USA
| | - Ali Mortazavi
- Department of Developmental and Cell Biology, University of California, Irvine, CA, USA
- Center for Complex Biological Systems, University of California, Irvine, CA, USA
| | - Xinshu Xiao
- Department of Integrative Biology and Physiology, University of California, Los Angeles, CA, USA.
- Molecular, Cellular, and Integrative Physiology Interdepartmental Program, University of California, Los Angeles, CA, USA.
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, CA, USA.
| |
Collapse
|
20
|
Verwilt J, Mestdagh P, Vandesompele J. Artifacts and biases of the reverse transcription reaction in RNA sequencing. RNA (NEW YORK, N.Y.) 2023; 29:889-897. [PMID: 36990512 DOI: 10.1261/rna.079623.123] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
RNA sequencing has spurred a significant number of research areas in recent years. Most protocols rely on synthesizing a more stable complementary DNA (cDNA) copy of the RNA molecule during the reverse transcription reaction. The resulting cDNA pool is often wrongfully assumed to be quantitatively and molecularly similar to the original RNA input. Sadly, biases and artifacts confound the resulting cDNA mixture. These issues are often overlooked or ignored in the literature by those that rely on the reverse transcription process. In this review, we confront the reader with intra- and intersample biases and artifacts caused by the reverse transcription reaction during RNA sequencing experiments. To fight the reader's despair, we also provide solutions to most issues and inform on good RNA sequencing practices. We hope the reader can use this review to their advantage, thereby contributing to scientifically sound RNA studies.
Collapse
Affiliation(s)
- Jasper Verwilt
- OncoRNALab, Cancer Research Institute Ghent, 9000 Ghent, Belgium
- Department of Biomolecular Medicine, Ghent University, 9000 Ghent, Belgium
- Center for Medical Genetics, Ghent University, 9000 Ghent, Belgium
| | - Pieter Mestdagh
- OncoRNALab, Cancer Research Institute Ghent, 9000 Ghent, Belgium
- Department of Biomolecular Medicine, Ghent University, 9000 Ghent, Belgium
- Center for Medical Genetics, Ghent University, 9000 Ghent, Belgium
| | - Jo Vandesompele
- OncoRNALab, Cancer Research Institute Ghent, 9000 Ghent, Belgium
- Department of Biomolecular Medicine, Ghent University, 9000 Ghent, Belgium
- Center for Medical Genetics, Ghent University, 9000 Ghent, Belgium
| |
Collapse
|
21
|
Tombácz D, Torma G, Gulyás G, Fülöp Á, Dörmő Á, Prazsák I, Csabai Z, Mizik M, Hornyák Á, Zádori Z, Kakuk B, Boldogkői Z. Hybrid sequencing discloses unique aspects of the transcriptomic architecture in equid alphaherpesvirus 1. Heliyon 2023; 9:e17716. [PMID: 37449092 PMCID: PMC10336594 DOI: 10.1016/j.heliyon.2023.e17716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 06/05/2023] [Accepted: 06/26/2023] [Indexed: 07/18/2023] Open
Abstract
This study employed both short-read sequencing (SRS, Illumina) and long-read sequencing (LRS Oxford Nanopore Technologies) platforms to conduct a comprehensive analysis of the equid alphaherpesvirus 1 (EHV-1) transcriptome. The study involved the annotation of canonical mRNAs and their transcript variants, encompassing transcription start site (TSS) and transcription end site (TES) isoforms, in addition to alternative splicing forms. Furthermore, the study revealed the presence of numerous non-coding RNA (ncRNA) molecules, including intergenic and antisense transcripts, produced by EHV-1. An intriguing finding was the abundant production of chimeric transcripts, some of which potentially encode fusion polypeptides. Moreover, EHV-1 exhibited a greater incidence of transcriptional overlaps and splicing compared to related viruses. It is noteworthy that many genes have their unique TESs along with the co-terminal transcription ends, a characteristic scarcely seen in other alphaherpesviruses. The study also identified transcripts that overlap the replication origins of the virus. Moreover, a novel ncRNA, referred to as NOIR, was found to intersect with the 5'-ends of longer transcript isoform specified by the major transactivator genes ORF64 and ORF65, surrounding the OriL. These findings together imply the existence of a key regulatory mechanism that governs both transcription and replication through, among others, a process that involves interference between the DNA and RNA synthesis machineries.
Collapse
Affiliation(s)
- Dóra Tombácz
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Gábor Torma
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Gábor Gulyás
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Ádám Fülöp
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Ákos Dörmő
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - István Prazsák
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Zsolt Csabai
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Máté Mizik
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Ákos Hornyák
- Institute for Veterinary Medical Research, Centre for Agricultural Research, Budapest, Hungary
| | - Zoltán Zádori
- Institute for Veterinary Medical Research, Centre for Agricultural Research, Budapest, Hungary
| | - Balázs Kakuk
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Zsolt Boldogkői
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| |
Collapse
|
22
|
Yamamoto R, Liu Z, Choudhury M, Xiao X. dsRID: Editing-free in silico identification of dsRNA region using long-read RNA-seq data. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.06.02.543466. [PMID: 37333092 PMCID: PMC10274638 DOI: 10.1101/2023.06.02.543466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
Double-stranded RNAs (dsRNAs) are potent triggers of innate immune responses upon recognition by cytosolic dsRNA sensor proteins. Identification of endogenous dsRNAs helps to better understand the dsRNAome and its relevance to innate immunity related to human diseases. Here, we report dsRID (double-stranded RNA identifier), a machine learning-based method to predict dsRNA regions in silico, leveraging the power of long-read RNA-sequencing (RNA-seq) and molecular traits of dsRNAs. Using models trained with PacBio long-read RNA-seq data derived from Alzheimer's disease (AD) brain, we show that our approach is highly accurate in predicting dsRNA regions in multiple datasets. Applied to an AD cohort sequenced by the ENCODE consortium, we characterize the global dsRNA profile with potentially distinct expression patterns between AD and controls. Together, we show that dsRID provides an effective approach to capture global dsRNA profiles using long-read RNA-seq data.
Collapse
Affiliation(s)
- Ryo Yamamoto
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, California, USA
| | - Zhiheng Liu
- Department of Integrative Biology and Physiology, University of California, Los Angeles, California, USA
| | - Mudra Choudhury
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, California, USA
| | - Xinshu Xiao
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, California, USA
- Department of Integrative Biology and Physiology, University of California, Los Angeles, California, USA
- Molecular Biology Institute, University of California, Los Angeles, California, USA
| |
Collapse
|
23
|
Zhang ZH, Wang Y, Zhang Y, Zheng SF, Feng T, Tian X, Abudurexiti M, Wang ZD, Zhu WK, Su JQ, Zhang HL, Shi GH, Wang ZL, Cao DL, Ye DW. The function and mechanisms of action of circular RNAs in Urologic Cancer. Mol Cancer 2023; 22:61. [PMID: 36966306 PMCID: PMC10039696 DOI: 10.1186/s12943-023-01766-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 03/17/2023] [Indexed: 03/27/2023] Open
Abstract
Kidney, bladder, and prostate cancer are the three major tumor types of the urologic system that seriously threaten human health. Circular RNAs (CircRNAs), special non-coding RNAs with a stabile structure and a unique back-splicing loop-forming ability, have received recent scientific attention. CircRNAs are widely distributed within the body, with important biologic functions such as sponges for microRNAs, as RNA binding proteins, and as templates for regulation of transcription and protein translation. The abnormal expression of circRNAs in vivo is significantly associated with the development of urologic tumors. CircRNAs have now emerged as potential biomarkers for the diagnosis and prognosis of urologic tumors, as well as targets for the development of new therapies. Although we have gained a better understanding of circRNA, there are still many questions to be answered. In this review, we summarize the properties of circRNAs and detail their function, focusing on the effects of circRNA on proliferation, metastasis, apoptosis, metabolism, and drug resistance in kidney, bladder, and prostate cancers.
Collapse
Affiliation(s)
- Zi-Hao Zhang
- Qingdao Institute, School of Life Medicine, Department of Urology, Fudan University Shanghai Cancer Center, Fudan University, Qingdao, 266500, China
- Department of Urology, State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200433, China
- Department of Urology, Fudan University Shanghai Cancer Center, No. 270 Dong'an Road, Shanghai, 200032, People's Republic of China
| | - Yue Wang
- Department of Urology, State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200433, China
- Department of Urology, Fudan University Shanghai Cancer Center, No. 270 Dong'an Road, Shanghai, 200032, People's Republic of China
| | - Ya Zhang
- Department of Nephrology, Xin Hua Hospital, Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, Shanghai, 200092, China
| | - Sheng-Feng Zheng
- Qingdao Institute, School of Life Medicine, Department of Urology, Fudan University Shanghai Cancer Center, Fudan University, Qingdao, 266500, China
- Department of Urology, State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200433, China
- Department of Urology, Fudan University Shanghai Cancer Center, No. 270 Dong'an Road, Shanghai, 200032, People's Republic of China
| | - Tao Feng
- Qingdao Institute, School of Life Medicine, Department of Urology, Fudan University Shanghai Cancer Center, Fudan University, Qingdao, 266500, China
- Department of Urology, State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200433, China
- Department of Urology, Fudan University Shanghai Cancer Center, No. 270 Dong'an Road, Shanghai, 200032, People's Republic of China
| | - Xi Tian
- Department of Urology, State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200433, China
- Department of Urology, Fudan University Shanghai Cancer Center, No. 270 Dong'an Road, Shanghai, 200032, People's Republic of China
| | - Mierxiati Abudurexiti
- Department of Urology, Fudan University Shanghai Cancer Center, No. 270 Dong'an Road, Shanghai, 200032, People's Republic of China
- Shanghai Pudong New Area Gongli Hospital, Shanghai, 200135, China
| | - Zhen-Da Wang
- Department of Urology, State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200433, China
- Department of Urology, Fudan University Shanghai Cancer Center, No. 270 Dong'an Road, Shanghai, 200032, People's Republic of China
| | - Wen-Kai Zhu
- Department of Urology, State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200433, China
- Department of Urology, Fudan University Shanghai Cancer Center, No. 270 Dong'an Road, Shanghai, 200032, People's Republic of China
| | - Jia-Qi Su
- Department of Urology, State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200433, China
- Department of Urology, Fudan University Shanghai Cancer Center, No. 270 Dong'an Road, Shanghai, 200032, People's Republic of China
| | - Hai-Liang Zhang
- Department of Urology, State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200433, China
- Department of Urology, Fudan University Shanghai Cancer Center, No. 270 Dong'an Road, Shanghai, 200032, People's Republic of China
| | - Guo-Hai Shi
- Department of Urology, State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200433, China
- Department of Urology, Fudan University Shanghai Cancer Center, No. 270 Dong'an Road, Shanghai, 200032, People's Republic of China
| | - Zi-Liang Wang
- Institute of Cancer Research, Department of Gynecology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 200071, P. R. China
| | - Da-Long Cao
- Department of Urology, State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200433, China
- Department of Urology, Fudan University Shanghai Cancer Center, No. 270 Dong'an Road, Shanghai, 200032, People's Republic of China
| | - Ding-Wei Ye
- Department of Urology, State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200433, China.
- Department of Urology, Fudan University Shanghai Cancer Center, No. 270 Dong'an Road, Shanghai, 200032, People's Republic of China.
| |
Collapse
|
24
|
Dong J, Zeng Z, Huang Y, Chen C, Cheng Z, Zhu Q. Challenges and opportunities for circRNA identification and delivery. Crit Rev Biochem Mol Biol 2023; 58:19-35. [PMID: 36916323 DOI: 10.1080/10409238.2023.2185764] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Abstract
Circular RNAs (circRNAs) are evolutionarily conserved noncoding RNAs with tissue-specific expression patterns, and exert unique cellular functions that have the potential to become biomarkers in therapeutic applications. Therefore, accurate and sensitive detection of circRNA with facile platforms is essential for better understanding of circRNA biological processes and circRNA-related disease diagnosis and prognosis; and precise regulation of circRNA through efficient delivery of circRNA or siRNA is critical for therapeutic purposes. Here, we reviewed the current development of circRNA identification methodologies, including overviewing the purification steps, summarizing the sequencing methods of circRNA, as well as comparing the advantages and disadvantages of traditional and new detection methods. Then, we discussed the delivery and manipulation strategies for circRNAs in both research and clinic treatment. Finally, the challenges and opportunities of analyzing circRNAs were addressed.
Collapse
Affiliation(s)
- Jiani Dong
- Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, Hunan, China
| | - Zhuoer Zeng
- Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, Hunan, China.,Division of Biomedical Engineering, The James Watt School of Engineering, University of Glasgow, Glasgow, UK
| | - Ying Huang
- Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, Hunan, China
| | - Chuanpin Chen
- Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, Hunan, China
| | - Zeneng Cheng
- Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, Hunan, China
| | - Qubo Zhu
- Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, Hunan, China
| |
Collapse
|
25
|
Rosado-Porto D, Ratering S, Wohlfahrt Y, Schneider B, Glatt A, Schnell S. Elevated atmospheric CO 2 concentrations caused a shift of the metabolically active microbiome in vineyard soil. BMC Microbiol 2023; 23:46. [PMID: 36809988 PMCID: PMC9942357 DOI: 10.1186/s12866-023-02781-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 01/23/2023] [Indexed: 02/24/2023] Open
Abstract
BACKGROUND Elevated carbon dioxide concentrations (eCO2), one of the main causes of climate change, have several consequences for both vine and cover crops in vineyards and potentially also for the soil microbiome. Hence soil samples were taken from a vineyard free-air CO2 enrichment (VineyardFACE) study in Geisenheim and examined for possible changes in the soil active bacterial composition (cDNA of 16S rRNA) using a metabarcoding approach. Soil samples were taken from the areas between the rows of vines with and without cover cropping from plots exposed to either eCO2 or ambient CO2 (aCO2). RESULTS Diversity indices and redundancy analysis (RDA) demonstrated that eCO2 changed the active soil bacterial diversity in grapevine soil with cover crops (p-value 0.007). In contrast, the bacterial composition in bare soil was unaffected. In addition, the microbial soil respiration (p-values 0.04-0.003) and the ammonium concentration (p-value 0.003) were significantly different in the samples where cover crops were present and exposed to eCO2. Moreover, under eCO2 conditions, qPCR results showed a significant decrease in 16S rRNA copy numbers and transcripts for enzymes involved in N2 fixation and NO2- reduction were observed using qPCR. Co-occurrence analysis revealed a shift in the number, strength, and patterns of microbial interactions under eCO2 conditions, mainly represented by a reduction in the number of interacting ASVs and the number of interactions. CONCLUSIONS The results of this study demonstrate that eCO2 concentrations changed the active soil bacterial composition, which could have future influence on both soil properties and wine quality.
Collapse
Affiliation(s)
- David Rosado-Porto
- Institute of Applied Microbiology, Justus Liebig University, 35392, Giessen, Germany
- Faculty of Basic and Biomedical Sciences, Simón Bolívar University, 080002, Barranquilla, Colombia
| | - Stefan Ratering
- Institute of Applied Microbiology, Justus Liebig University, 35392, Giessen, Germany
| | - Yvette Wohlfahrt
- Department of General and Organic Viticulture, Hochschule Geisenheim University, Von-Lade-Strasse 1, 65366, Geisenheim, Germany
| | - Bellinda Schneider
- Institute of Applied Microbiology, Justus Liebig University, 35392, Giessen, Germany
| | - Andrea Glatt
- Institute of Applied Microbiology, Justus Liebig University, 35392, Giessen, Germany
| | - Sylvia Schnell
- Institute of Applied Microbiology, Justus Liebig University, 35392, Giessen, Germany.
| |
Collapse
|
26
|
Transcriptome diversity assessment of Gossypium arboreum (FDH228) leaves under control, drought and whitefly infestation using PacBio long reads. Gene 2023; 852:147065. [PMID: 36435508 DOI: 10.1016/j.gene.2022.147065] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 11/08/2022] [Accepted: 11/18/2022] [Indexed: 11/25/2022]
Abstract
Alternative splicing (AS) and alternative polyadenylation (APA) are common mechanisms in eukaryotes to increase the complexity of transcriptomes and subsequently proteomes. Analysis of long reads transcriptomics data can result in the discovery of novel transcripts, splice sites, AS or APA events. Gossypium arboreum is an important cultivated cotton species and a putative contributor of the A sub-genome to the modern tetraploid cotton; and inherently tolerant to several biotic and abiotic stresses. Specifically, its variety 'FDH228' is considered to be an important resistance source. In this study, we sequenced the G. arboreum (var. FDH228) transcriptome using PacBio IsoSeq and illumina short read sequencing under three different conditions i.e. untreated/healthy, treated with biotic stress through whitefly infestation, and treated with abiotic stress via water deprivation, for the discovery and surveying of canonical and non-canonical AS, APA and transcript fusion events. We were able to obtain 15,419 unique transcripts from all samples representing 11,343 genes, out of which 10,832 were annotated and 520 were novel with respect to the published reference genome. These transcripts were grouped into different structural categories including 60 Antisense, 11,959 having a full-splice match, 999 with incomplete-splice match, 30 fusion transcripts, 177 genic, 479 intergenic, 771 novels in the catalog, and 944 Novel but not found in the catalog. Subsequently, randomly selected candidate transcripts were experimentally validated using qRT-PCR. Our comprehensive identification of canonical and non-canonical splicing events, and novel and fusion transcripts aids in the understanding of the resistance mechanisms for this specific germplasm.
Collapse
|
27
|
Karengera A, Bao C, Bovee TFH, Dinkla IJT, Murk AJ. A Multiplex Gene Expression Assay for Direct Measurement of RNA Transcripts in Crude Lysates of the Nematode Caenorhabditis elegans Used as a Bioanalytical Tool. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY 2023; 42:130-142. [PMID: 36282018 PMCID: PMC10107722 DOI: 10.1002/etc.5505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 07/19/2022] [Accepted: 10/21/2022] [Indexed: 06/16/2023]
Abstract
Gene expression profiling in Caenorhabditis elegans has been demonstrated to be a potential bioanalytical tool to detect the toxic potency of environmental contaminants. The RNA transcripts of genes responding to toxic exposure can be used as biomarkers for detecting these toxins. For routine application in environmental quality monitoring, an easy-to-use multiplex assay is required to reliably quantify expression levels of these biomarkers. In the present study, a bead-based assay was developed to fingerprint gene expression in C. elegans by quantitating messenger RNAs (mRNAs) of multiple target genes directly from crude nematode lysates, circumventing RNA extraction and purification steps. The assay uses signal amplification rather than target amplification for direct measurement of toxin-induced RNA transcripts. Using a 50-gene panel, the expression changes of four candidate reference genes and 46 target mRNAs for various contaminants and wastewaters were successfully measured, and the expression profiles indicated the type of toxin present. Moreover, the multiplex assay response was in line with previous results obtained with more time-consuming reverse-transcription quantitative polymerase chain reaction and microarray analyses. In addition, the transcriptomic profiles of nematodes exposed to wastewater samples and extracts prepared from tissues of swimming crabs were evaluated. The profiles indicated the presence of organic pollutants. The present study illustrates the successful development of a multiplex fluorescent bead-based approach using nematode C. elegans crude lysates for gene expression profiling of target RNAs. This method can be used to routinely fingerprint the presence of toxic contaminants in environmental samples and to identify the most biologically active fraction of the contaminant mixture in a toxicity identification and evaluation approach. Environ Toxicol Chem 2023;42:130-142. © 2022 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.
Collapse
Affiliation(s)
- Antoine Karengera
- Department of Animal Sciences, Marine Animal Ecology GroupWageningen UniversityWageningenThe Netherlands
- Wetsus, European Centre of Excellence for Sustainable Water TechnologyLeeuwardenThe Netherlands
| | - Cong Bao
- Department of Animal Sciences, Marine Animal Ecology GroupWageningen UniversityWageningenThe Netherlands
- Department of Analysis and Testing CenterYangtze Delta Region Institute of Tsinghua UniversityJiaxingChina
| | - Toine F. H. Bovee
- Wageningen Food Safety Research, Team Bioassays & BiosensorsWageningen University & ResearchWageningenThe Netherlands
| | - Inez J. T. Dinkla
- Wetsus, European Centre of Excellence for Sustainable Water TechnologyLeeuwardenThe Netherlands
| | - Albertinka J. Murk
- Department of Animal Sciences, Marine Animal Ecology GroupWageningen UniversityWageningenThe Netherlands
| |
Collapse
|
28
|
Appelbaum T, Aguirre GD, Beltran WA. Identification of circular RNAs hosted by the RPGR ORF15 genomic locus. RNA Biol 2023; 20:31-47. [PMID: 36593651 PMCID: PMC9817113 DOI: 10.1080/15476286.2022.2159165] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 11/23/2022] [Accepted: 12/07/2022] [Indexed: 01/04/2023] Open
Abstract
Mutations in the retina-specific isoform of the gene encoding retinitis pigmentosa GTPase regulator (RPGRorf15) cause X-linked retinitis pigmentosa, a severe and early onset inherited retinal degeneration. The underlying pathogenic mechanisms and variability in disease severity remain to be fully elucidated. The present study examines structural features of the ORF15 exonic region to provide new insights into the disease pathogenesis. Using canine and human RNA samples, we identified several novel RPGR ORF15-like linear RNA transcripts containing cryptic introns (exitrons) within the annotated exon ORF15. Furthermore, using outward-facing primers designed inside exitrons in the ORF15 exonic region, we found many of previously unidentified circular RNAs (circRNAs) that formed via back fusion of linear parts of the RPGRorf15 pre-mRNAs. These circRNAs (resistant to RNAse R treatment) were found in all studied cells and tissues. Notably, some circRNAs were present in cytoplasmic and polysomal RNA fractions. Although certain RPGR circRNAs may be cell type specific, we found some of the same circRNAs expressed in different cell types, suggesting similarities in their biogenesis and functions. Sequence analysis of RPGR circRNAs revealed several remarkable features, including identification of N6-methyladenosine (m6A) consensus sequence motifs and high prevalence of predictive microRNA binding sites pointing to the functional roles of these circRNAs. Our findings also illustrate the presence of non-canonical RPGR circRNA biogenesis pathways independent of the known back splicing mechanism. The obtained data on novel RPGR circRNAs further underline structural complexity of the RPGR ORF15 region and provide a potential molecular basis for the disease phenotypic heterogeneity.
Collapse
Affiliation(s)
- Tatyana Appelbaum
- Division of Experimental Retinal Therapies, Department of Clinical Sciences & Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Gustavo D. Aguirre
- Division of Experimental Retinal Therapies, Department of Clinical Sciences & Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - William A. Beltran
- Division of Experimental Retinal Therapies, Department of Clinical Sciences & Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, USA
| |
Collapse
|
29
|
Galardi A, Colletti M, Palma A, Di Giannatale A. An Update on Circular RNA in Pediatric Cancers. Biomedicines 2022; 11:biomedicines11010036. [PMID: 36672544 PMCID: PMC9856195 DOI: 10.3390/biomedicines11010036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 12/15/2022] [Accepted: 12/20/2022] [Indexed: 12/28/2022] Open
Abstract
Circular RNAs (circRNAs) are a class of single-stranded closed noncoding RNA molecules which are formed as a result of reverse splicing of mRNAs. Despite their relative abundance, only recently there appeared an increased interest in the understanding of their regulatory importance. Among their most relevant characteristics are high stability, abundance and evolutionary conservation among species. CircRNAs are implicated in several cellular functions, ranging from miRNA and protein sponges to transcriptional modulation and splicing. Additionally, circRNAs' aberrant expression in pathological conditions is bringing to light their possible use as diagnostic and prognostic biomarkers. Their use as indicator molecules of pathological changes is also supported by their peculiar covalent closed cyclic structure which bestows resistance to RNases. Their regulatory role in cancer pathogenesis and metastasis is supported by studies involving human tumors that have investigated different expression profiles of these molecules. As endogenous competitive RNA, circRNAs can regulate tumor proliferation and invasion and they arouse great consideration as potential therapeutic biomarkers and targets for cancer. In this review, we describe the most recent findings on circRNAs in the most common pediatric solid cancers (such as brain tumors, neuroblastomas, and sarcomas) and in more rare ones (such as Wilms tumors, hepatoblastomas, and retinoblastomas).
Collapse
Affiliation(s)
- Angela Galardi
- Department of Pediatric Hemato-Oncology and Cell and Gene Therapy, IRCCS, Bambino Gesù Children’s Hospital, Viale San Paolo 15, 00146 Rome, Italy
| | - Marta Colletti
- Department of Pediatric Hemato-Oncology and Cell and Gene Therapy, IRCCS, Bambino Gesù Children’s Hospital, Viale San Paolo 15, 00146 Rome, Italy
| | - Alessandro Palma
- Translational Cytogenomics Research Unit, IRCCS, Bambino Gesù Children’s Hospital, Viale San Paolo 15, 00146 Rome, Italy
| | - Angela Di Giannatale
- Department of Pediatric Hemato-Oncology and Cell and Gene Therapy, IRCCS, Bambino Gesù Children’s Hospital, Viale San Paolo 15, 00146 Rome, Italy
- Correspondence:
| |
Collapse
|
30
|
Dorney R, Dhungel BP, Rasko JEJ, Hebbard L, Schmitz U. Recent advances in cancer fusion transcript detection. Brief Bioinform 2022; 24:6918739. [PMID: 36527429 PMCID: PMC9851307 DOI: 10.1093/bib/bbac519] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 10/11/2022] [Accepted: 10/31/2022] [Indexed: 12/23/2022] Open
Abstract
Extensive investigation of gene fusions in cancer has led to the discovery of novel biomarkers and therapeutic targets. To date, most studies have neglected chromosomal rearrangement-independent fusion transcripts and complex fusion structures such as double or triple-hop fusions, and fusion-circRNAs. In this review, we untangle fusion-related terminology and propose a classification system involving both gene and transcript fusions. We highlight the importance of RNA-level fusions and how long-read sequencing approaches can improve detection and characterization. Moreover, we discuss novel bioinformatic tools to identify fusions in long-read sequencing data and strategies to experimentally validate and functionally characterize fusion transcripts.
Collapse
Affiliation(s)
- Ryley Dorney
- epartment of Molecular & Cell Biology, College of Public Health, Medical & Vet Sciences, James Cook University, Douglas, QLD 4811, Australia,Centre for Tropical Bioinformatics and Molecular Biology, Australian Institute of Tropical Health and Medicine, James Cook University, Cairns 4878, Australia
| | - Bijay P Dhungel
- Gene and Stem Cell Therapy Program Centenary Institute, The University of Sydney, Camperdown, NSW 2050, Australia,Faculty of Medicine & Health, The University of Sydney, Camperdown, NSW 2006, Australia,Centre for Tropical Bioinformatics and Molecular Biology, Australian Institute of Tropical Health and Medicine, James Cook University, Cairns 4878, Australia
| | - John E J Rasko
- Gene and Stem Cell Therapy Program Centenary Institute, The University of Sydney, Camperdown, NSW 2050, Australia,Faculty of Medicine & Health, The University of Sydney, Camperdown, NSW 2006, Australia
| | - Lionel Hebbard
- epartment of Molecular & Cell Biology, College of Public Health, Medical & Vet Sciences, James Cook University, Douglas, QLD 4811, Australia,Storr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Sydney, New South Wales, Australia
| | - Ulf Schmitz
- Corresponding author. Ulf Schmitz, Department of Molecular and Cell Biology, College of Public Health, Medical and Vet Sciences, James Cook University, Douglas, QLD 4811, Australia. E-mail:
| |
Collapse
|
31
|
Kishi JY, Liu N, West ER, Sheng K, Jordanides JJ, Serrata M, Cepko CL, Saka SK, Yin P. Light-Seq: light-directed in situ barcoding of biomolecules in fixed cells and tissues for spatially indexed sequencing. Nat Methods 2022; 19:1393-1402. [PMID: 36216958 PMCID: PMC9636025 DOI: 10.1038/s41592-022-01604-1] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 08/10/2022] [Indexed: 11/21/2022]
Abstract
We present Light-Seq, an approach for multiplexed spatial indexing of intact biological samples using light-directed DNA barcoding in fixed cells and tissues followed by ex situ sequencing. Light-Seq combines spatially targeted, rapid photocrosslinking of DNA barcodes onto complementary DNAs in situ with a one-step DNA stitching reaction to create pooled, spatially indexed sequencing libraries. This light-directed barcoding enables in situ selection of multiple cell populations in intact fixed tissue samples for full-transcriptome sequencing based on location, morphology or protein stains, without cellular dissociation. Applying Light-Seq to mouse retinal sections, we recovered thousands of differentially enriched transcripts from three cellular layers and discovered biomarkers for a very rare neuronal subtype, dopaminergic amacrine cells, from only four to eight individual cells per section. Light-Seq provides an accessible workflow to combine in situ imaging and protein staining with next generation sequencing of the same cells, leaving the sample intact for further analysis post-sequencing.
Collapse
Affiliation(s)
- Jocelyn Y Kishi
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
| | - Ninning Liu
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA
| | - Emma R West
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Kuanwei Sheng
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA
| | - Jack J Jordanides
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA
| | - Matthew Serrata
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA
| | - Constance L Cepko
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.
- Howard Hughes Medical Institute, Chevy Chase, MD, USA.
- Department of Ophthalmology, Harvard Medical School, Boston, MA, USA.
| | - Sinem K Saka
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
- Genome Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.
| | - Peng Yin
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
| |
Collapse
|
32
|
Schönegger ES, Crisp A, Müller M, Fertl J, Serdjukow S, Croce S, Kollaschinski M, Carell T, Frischmuth T. Click Chemistry Enables Rapid Amplification of Full-Length Reverse Transcripts for Long-Read Third Generation Sequencing. Bioconjug Chem 2022; 33:1789-1795. [PMID: 36154005 DOI: 10.1021/acs.bioconjchem.2c00353] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Here we describe the development of a novel click chemistry-based method for the generation and amplification of full-length cDNA libraries from total RNA, while avoiding the need for problematic template-switching (TS) reactions. Compared with prior efforts, our method involves neither random priming nor stochastic cDNA termination, thus enabling amplification of transcripts that were previously inaccessible via related click chemistry-based RNA sequencing techniques. A key modification involving the use of PCR primers containing two overhanging 3'-nucleotides substantially improved the read-through compatibility of the 1,4-disubstituted 1,2,3-triazole-containing cDNA, where such modifications typically hinder amplification. This allowed us to more than double the possible insert size compared with the state-of-the art click chemistry-based technique, PAC-seq. Furthermore, our method performed on par with a commercially available PCR-cDNA RNA sequencing kit, as determined by Oxford Nanopore sequencing. Given the known advantages of PAC-seq, namely, suppression of PCR artifacts, we anticipate that our contribution could enable diverse applications including improved analyses of mRNA splicing variants and fusion transcripts.
Collapse
Affiliation(s)
- Eva S Schönegger
- Ludwig-Maximilians-Universität München, Institute for Chemical Epigenetics Munich, Butenandtstr. 5-13, 81377 Munich, Germany
| | - Antony Crisp
- baseclick GmbH, Floriansbogen 2-4, 82061 Neuried (Munich), Germany
| | - Markus Müller
- Ludwig-Maximilians-Universität München, Institute for Chemical Epigenetics Munich, Butenandtstr. 5-13, 81377 Munich, Germany
| | - Jessica Fertl
- baseclick GmbH, Floriansbogen 2-4, 82061 Neuried (Munich), Germany
| | - Sascha Serdjukow
- baseclick GmbH, Floriansbogen 2-4, 82061 Neuried (Munich), Germany
| | - Stefano Croce
- baseclick GmbH, Floriansbogen 2-4, 82061 Neuried (Munich), Germany
| | | | - Thomas Carell
- Ludwig-Maximilians-Universität München, Institute for Chemical Epigenetics Munich, Butenandtstr. 5-13, 81377 Munich, Germany
| | | |
Collapse
|
33
|
Sage SE, Nicholson P, Leeb T, Gerber V, Jagannathan V. Long-Read Transcriptome of Equine Bronchoalveolar Cells. Genes (Basel) 2022; 13:1722. [PMID: 36292607 PMCID: PMC9602388 DOI: 10.3390/genes13101722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 09/09/2022] [Accepted: 09/21/2022] [Indexed: 11/16/2022] Open
Abstract
We used Pacific Biosciences long-read isoform sequencing to generate full-length transcript sequences in equine bronchoalveolar lavage fluid (BALF) cells. Our dataset consisted of 313,563 HiFi reads comprising 805 Mb of polished sequence information. The resulting equine BALF transcriptome consisted of 14,234 full-length transcript isoforms originating from 7017 unique genes. These genes consisted of 6880 previously annotated genes and 137 novel genes. We identified 3428 novel transcripts in addition to 10,806 previously known transcripts. These included transcripts absent from existing genome annotations, transcripts mapping to putative novel (unannotated) genes and fusion transcripts incorporating exons from multiple genes. We provide transcript-level data for equine BALF cells as a resource to the scientific community.
Collapse
Affiliation(s)
- Sophie Elena Sage
- Swiss Institute of Equine Medicine, Department of Clinical Veterinary Medicine, Vetsuisse Faculty, University of Bern, 3001 Bern, Switzerland
| | - Pamela Nicholson
- Next Generation Sequencing Platform, University of Bern, 3001 Bern, Switzerland
| | - Tosso Leeb
- Institute of Genetics, Vetsuisse Faculty, University of Bern, 3001 Bern, Switzerland
| | - Vinzenz Gerber
- Swiss Institute of Equine Medicine, Department of Clinical Veterinary Medicine, Vetsuisse Faculty, University of Bern, 3001 Bern, Switzerland
| | - Vidhya Jagannathan
- Institute of Genetics, Vetsuisse Faculty, University of Bern, 3001 Bern, Switzerland
| |
Collapse
|
34
|
Arriaga-Canon C, Contreras-Espinosa L, Rebollar-Vega R, Montiel-Manríquez R, Cedro-Tanda A, García-Gordillo JA, Álvarez-Gómez RM, Jiménez-Trejo F, Castro-Hernández C, Herrera LA. Transcriptomics and RNA-Based Therapeutics as Potential Approaches to Manage SARS-CoV-2 Infection. Int J Mol Sci 2022; 23:11058. [PMID: 36232363 PMCID: PMC9570475 DOI: 10.3390/ijms231911058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 09/13/2022] [Accepted: 09/14/2022] [Indexed: 11/24/2022] Open
Abstract
SARS-CoV-2 is a coronavirus family member that appeared in China in December 2019 and caused the disease called COVID-19, which was declared a pandemic in 2020 by the World Health Organization. In recent months, great efforts have been made in the field of basic and clinical research to understand the biology and infection processes of SARS-CoV-2. In particular, transcriptome analysis has contributed to generating new knowledge of the viral sequences and intracellular signaling pathways that regulate the infection and pathogenesis of SARS-CoV-2, generating new information about its biology. Furthermore, transcriptomics approaches including spatial transcriptomics, single-cell transcriptomics and direct RNA sequencing have been used for clinical applications in monitoring, detection, diagnosis, and treatment to generate new clinical predictive models for SARS-CoV-2. Consequently, RNA-based therapeutics and their relationship with SARS-CoV-2 have emerged as promising strategies to battle the SARS-CoV-2 pandemic with the assistance of novel approaches such as CRISPR-CAS, ASOs, and siRNA systems. Lastly, we discuss the importance of precision public health in the management of patients infected with SARS-CoV-2 and establish that the fusion of transcriptomics, RNA-based therapeutics, and precision public health will allow a linkage for developing health systems that facilitate the acquisition of relevant clinical strategies for rapid decision making to assist in the management and treatment of the SARS-CoV-2-infected population to combat this global public health problem.
Collapse
Affiliation(s)
- Cristian Arriaga-Canon
- Unidad de Investigación Biomédica en Cáncer, Instituto Nacional de Cancerología-Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México (UNAM), Avenida San Fernando No. 22 ColC. Sección XVI, Tlalpan. C.P., Mexico City 14080, Mexico
| | - Laura Contreras-Espinosa
- Unidad de Investigación Biomédica en Cáncer, Instituto Nacional de Cancerología-Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México (UNAM), Avenida San Fernando No. 22 ColC. Sección XVI, Tlalpan. C.P., Mexico City 14080, Mexico
| | - Rosa Rebollar-Vega
- Genomics Laboratory, Red de Apoyo a la Investigación, Universidad Nacional Autónoma de México, Vasco de Quiroga 15, Belisario Domínguez Secc 16, Tlalpan, Mexico City 14080, Mexico
| | - Rogelio Montiel-Manríquez
- Unidad de Investigación Biomédica en Cáncer, Instituto Nacional de Cancerología-Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México (UNAM), Avenida San Fernando No. 22 ColC. Sección XVI, Tlalpan. C.P., Mexico City 14080, Mexico
| | - Alberto Cedro-Tanda
- Instituto Nacional de Medicina Genómica, Periférico Sur 4809, Arenal Tepepan, Tlalpan. C.P., Mexico City 14610, Mexico
| | - José Antonio García-Gordillo
- Oncología Médica, Instituto Nacional de Cancerología, Avenida San Fernando No. 22 Col. Sección XVI, Tlalpan. C.P., Mexico City 14080, Mexico
| | - Rosa María Álvarez-Gómez
- Clínica de Cáncer Hereditario, Instituto Nacional de Cancerología, Avenida San Fernando No. 22 Col. Sección XVI, Tlalpan. C.P., Mexico City 14080, Mexico
| | - Francisco Jiménez-Trejo
- Instituto Nacional de Pediatría, Insurgentes Sur No. 3700-C, Coyoacán. C.P., Mexico City 04530, Mexico
| | - Clementina Castro-Hernández
- Unidad de Investigación Biomédica en Cáncer, Instituto Nacional de Cancerología-Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México (UNAM), Avenida San Fernando No. 22 ColC. Sección XVI, Tlalpan. C.P., Mexico City 14080, Mexico
| | - Luis A. Herrera
- Unidad de Investigación Biomédica en Cáncer, Instituto Nacional de Cancerología-Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México (UNAM), Avenida San Fernando No. 22 ColC. Sección XVI, Tlalpan. C.P., Mexico City 14080, Mexico
- Instituto Nacional de Medicina Genómica, Periférico Sur 4809, Arenal Tepepan, Tlalpan. C.P., Mexico City 14610, Mexico
| |
Collapse
|
35
|
Coulter M, Entizne JC, Guo W, Bayer M, Wonneberger R, Milne L, Schreiber M, Haaning A, Muehlbauer GJ, McCallum N, Fuller J, Simpson C, Stein N, Brown JWS, Waugh R, Zhang R. BaRTv2: a highly resolved barley reference transcriptome for accurate transcript-specific RNA-seq quantification. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2022; 111:1183-1202. [PMID: 35704392 PMCID: PMC9546494 DOI: 10.1111/tpj.15871] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 05/02/2022] [Accepted: 06/09/2022] [Indexed: 06/15/2023]
Abstract
Accurate characterisation of splice junctions (SJs) as well as transcription start and end sites in reference transcriptomes allows precise quantification of transcripts from RNA-seq data, and enables detailed investigations of transcriptional and post-transcriptional regulation. Using novel computational methods and a combination of PacBio Iso-seq and Illumina short-read sequences from 20 diverse tissues and conditions, we generated a comprehensive and highly resolved barley reference transcript dataset from the European 2-row spring barley cultivar Barke (BaRTv2.18). Stringent and thorough filtering was carried out to maintain the quality and accuracy of the SJs and transcript start and end sites. BaRTv2.18 shows increased transcript diversity and completeness compared with an earlier version, BaRTv1.0. The accuracy of transcript level quantification, SJs and transcript start and end sites have been validated extensively using parallel technologies and analysis, including high-resolution reverse transcriptase-polymerase chain reaction and 5'-RACE. BaRTv2.18 contains 39 434 genes and 148 260 transcripts, representing the most comprehensive and resolved reference transcriptome in barley to date. It provides an important and high-quality resource for advanced transcriptomic analyses, including both transcriptional and post-transcriptional regulation, with exceptional resolution and precision.
Collapse
Affiliation(s)
- Max Coulter
- Division of Plant SciencesUniversity of Dundee, James Hutton InstituteInvergowrieDundeeDD2 5DAScotlandUK
| | - Juan Carlos Entizne
- Division of Plant SciencesUniversity of Dundee, James Hutton InstituteInvergowrieDundeeDD2 5DAScotlandUK
| | - Wenbin Guo
- Information and Computational SciencesJames Hutton InstituteInvergowrieDundeeDD2 5DAScotlandUK
| | - Micha Bayer
- Information and Computational SciencesJames Hutton InstituteInvergowrieDundeeDD2 5DAScotlandUK
| | - Ronja Wonneberger
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK)Corrensstrasse 3D‐06466Stadt SeelandGermany
| | - Linda Milne
- Information and Computational SciencesJames Hutton InstituteInvergowrieDundeeDD2 5DAScotlandUK
| | - Miriam Schreiber
- Division of Plant SciencesUniversity of Dundee, James Hutton InstituteInvergowrieDundeeDD2 5DAScotlandUK
| | - Allison Haaning
- Department of Agronomy and Plant GeneticsUniversity of Minnesota1991 Upper Buford Circle, 542 Borlaug HallSt PaulMinnesota55108USA
| | - Gary J. Muehlbauer
- Department of Agronomy and Plant GeneticsUniversity of Minnesota1991 Upper Buford Circle, 542 Borlaug HallSt PaulMinnesota55108USA
| | - Nicola McCallum
- Cell and Molecular SciencesJames Hutton InstituteInvergowrieDundeeDD2 5DAScotlandUK
| | - John Fuller
- Cell and Molecular SciencesJames Hutton InstituteInvergowrieDundeeDD2 5DAScotlandUK
| | - Craig Simpson
- Cell and Molecular SciencesJames Hutton InstituteInvergowrieDundeeDD2 5DAScotlandUK
| | - Nils Stein
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK)Corrensstrasse 3D‐06466Stadt SeelandGermany
- Center for Integrated Breeding Research (CiBreed)Georg‐August‐UniversityGöttingenGermany
| | - John W. S. Brown
- Division of Plant SciencesUniversity of Dundee, James Hutton InstituteInvergowrieDundeeDD2 5DAScotlandUK
- Cell and Molecular SciencesJames Hutton InstituteInvergowrieDundeeDD2 5DAScotlandUK
| | - Robbie Waugh
- Division of Plant SciencesUniversity of Dundee, James Hutton InstituteInvergowrieDundeeDD2 5DAScotlandUK
- Cell and Molecular SciencesJames Hutton InstituteInvergowrieDundeeDD2 5DAScotlandUK
- School of Agriculture and Wine & Waite Research InstituteUniversity of AdelaideWaite CampusGlen OsmondSouth Australia5064Australia
| | - Runxuan Zhang
- Information and Computational SciencesJames Hutton InstituteInvergowrieDundeeDD2 5DAScotlandUK
| |
Collapse
|
36
|
Lee MYH, Khoury G, Olshansky M, Sonza S, Carter GP, McMahon J, Stinear TP, Turner SJ, Lewin SR, Purcell DFJ. Detection of Chimeric Cellular: HIV mRNAs Generated Through Aberrant Splicing in HIV-1 Latently Infected Resting CD4+ T Cells. Front Cell Infect Microbiol 2022; 12:855290. [PMID: 35573784 PMCID: PMC9096486 DOI: 10.3389/fcimb.2022.855290] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Accepted: 03/25/2022] [Indexed: 11/13/2022] Open
Abstract
Latent HIV-1 provirus in infected individuals on suppressive therapy does not always remain transcriptionally silent. Both HIV-1 LTR and human gene promoter derived transcriptional events can contribute HIV-1 sequences to the mRNA produced in the cell. In addition, chimeric cellular:HIV mRNA can arise through readthrough transcription and aberrant splicing. Using target enrichment coupled to the Illumina Mi-Seq and PacBio RS II platforms, we show that 3’ LTR activation is frequent in latently infected cells from both the CCL19-induced primary cell model of HIV-1 latency as well as ex vivo samples. In both systems of latent HIV-1 infection, we detected several chimeric species that were generated via activation of a cryptic splice donor site in the 5’ LTR of HIV-1. Aberrant splicing involving the major HIV-1 splice donor sites, SD1 and SD4 disrupts post-transcriptional processing of the gene in which HIV-1 is integrated. In the primary cell model of HIV-1 latency, Tat-encoding sequences are incorporated into the chimeric mRNA transcripts through the use of SD4. Our study unravels clues to the characteristics of HIV-1 integrants that promote formation of chimeric cellular:HIV mRNA and improves the understanding of the HIV-1 RNA footprint in latently infected cells.
Collapse
Affiliation(s)
- Michelle Y-H Lee
- Department of Microbiology and Immunology, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - Georges Khoury
- Department of Microbiology and Immunology, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - Moshe Olshansky
- Department of Microbiology, Biomedical Discovery Institute, Monash University, Melbourne, VIC, Australia
| | - Secondo Sonza
- Department of Microbiology and Immunology, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - Glen P. Carter
- Department of Microbiology and Immunology, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
- Doherty Applied Microbial Genomics, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - James McMahon
- Department of Infectious Diseases, Monash University and Alfred Hospital, Melbourne, VIC, Australia
| | - Timothy P. Stinear
- Department of Microbiology and Immunology, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
- Doherty Applied Microbial Genomics, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - Stephen J. Turner
- Department of Microbiology, Biomedical Discovery Institute, Monash University, Melbourne, VIC, Australia
| | - Sharon R. Lewin
- Department of Infectious Diseases, Monash University and Alfred Hospital, Melbourne, VIC, Australia
- Department of Infectious Diseases, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
- Victorian Infectious Diseases Service, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - Damian F. J. Purcell
- Department of Microbiology and Immunology, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
- *Correspondence: Damian F. J. Purcell,
| |
Collapse
|
37
|
Rosado-Porto D, Ratering S, Cardinale M, Maisinger C, Moser G, Deppe M, Müller C, Schnell S. Elevated Atmospheric CO 2 Modifies Mostly the Metabolic Active Rhizosphere Soil Microbiome in the Giessen FACE Experiment. MICROBIAL ECOLOGY 2022; 83:619-634. [PMID: 34148108 PMCID: PMC8979872 DOI: 10.1007/s00248-021-01791-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 06/08/2021] [Indexed: 06/12/2023]
Abstract
Elevated levels of atmospheric CO2 lead to the increase of plant photosynthetic rates, carbon inputs into soil and root exudation. In this work, the effects of rising atmospheric CO2 levels on the metabolic active soil microbiome have been investigated at the Giessen free-air CO2 enrichment (Gi-FACE) experiment on a permanent grassland site near Giessen, Germany. The aim was to assess the effects of increased C supply into the soil, due to elevated CO2, on the active soil microbiome composition. RNA extraction and 16S rRNA (cDNA) metabarcoding sequencing were performed from bulk and rhizosphere soils, and the obtained data were processed for a compositional data analysis calculating diversity indices and differential abundance analyses. The structure of the metabolic active microbiome in the rhizospheric soil showed a clear separation between elevated and ambient CO2 (p = 0.002); increased atmospheric CO2 concentration exerted a significant influence on the microbiomes differentiation (p = 0.01). In contrast, elevated CO2 had no major influence on the structure of the bulk soil microbiome (p = 0.097). Differential abundance results demonstrated that 42 bacterial genera were stimulated under elevated CO2. The RNA-based metabarcoding approach used in this research showed that the ongoing atmospheric CO2 increase of climate change will significantly shift the microbiome structure in the rhizosphere.
Collapse
Affiliation(s)
- David Rosado-Porto
- Institute of Applied Microbiology, Justus Liebig University, Giessen, DE, Germany
- Faculty of Basic and Biomedical Sciences, Simón Bolívar University, Barranquilla, Colombia
| | - Stefan Ratering
- Institute of Applied Microbiology, Justus Liebig University, Giessen, DE, Germany
| | - Massimiliano Cardinale
- Department of Biological and Environmental Sciences and Technologies, University of Salento, Via Prov.le Monteroni, 73100, Lecce, Italy
| | - Corinna Maisinger
- Institute of Applied Microbiology, Justus Liebig University, Giessen, DE, Germany
| | - Gerald Moser
- Institute of Plant Ecology, Justus Liebig University, Giessen, DE, Germany
| | - Marianna Deppe
- Institute of Plant Ecology, Justus Liebig University, Giessen, DE, Germany
| | - Christoph Müller
- Institute of Plant Ecology, Justus Liebig University, Giessen, DE, Germany
- School of Biology and Environmental Science and Earth Institute, University College Dublin, Belfield, Dublin, Ireland
| | - Sylvia Schnell
- Institute of Applied Microbiology, Justus Liebig University, Giessen, DE, Germany.
| |
Collapse
|
38
|
Karaoglanoglu F, Chauve C, Hach F. Genion, an accurate tool to detect gene fusion from long transcriptomics reads. BMC Genomics 2022; 23:129. [PMID: 35164688 PMCID: PMC8842519 DOI: 10.1186/s12864-022-08339-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2021] [Accepted: 01/27/2022] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND The advent of next-generation sequencing technologies empowered a wide variety of transcriptomics studies. A widely studied topic is gene fusion which is observed in many cancer types and suspected of having oncogenic properties. Gene fusions are the result of structural genomic events that bring two genes closely located and result in a fused transcript. This is different from fusion transcripts created during or after the transcription process. These chimeric transcripts are also known as read-through and trans-splicing transcripts. Gene fusion discovery with short reads is a well-studied problem, and many methods have been developed. But the sensitivity of these methods is limited by the technology, especially the short read length. Advances in long-read sequencing technologies allow the generation of long transcriptomics reads at a low cost. Transcriptomic long-read sequencing presents unique opportunities to overcome the shortcomings of short-read technologies for gene fusion detection while introducing new challenges. RESULTS We present Genion, a sensitive and fast gene fusion detection method that can also detect read-through events. We compare Genion against a recently introduced long-read gene fusion discovery method, LongGF, both on simulated and real datasets. On simulated data, Genion accurately identifies the gene fusions and its clustering accuracy for detecting fusion reads is better than LongGF. Furthermore, our results on the breast cancer cell line MCF-7 show that Genion correctly identifies all the experimentally validated gene fusions. CONCLUSIONS Genion is an accurate gene fusion caller. Genion is implemented in C++ and is available at https://github.com/vpc-ccg/genion .
Collapse
Affiliation(s)
- Fatih Karaoglanoglu
- School of Computing Science, Simon Fraser University, Burnaby, BC, Canada.,Vancouver Prostate Centre, Vancouver, BC, Canada
| | - Cedric Chauve
- Department of Mathematics, Simon Fraser University, Burnaby, BC, Canada.
| | - Faraz Hach
- Vancouver Prostate Centre, Vancouver, BC, Canada. .,Department of Urologic Sciences, The University of British Columbia, Vancouver, BC, Canada.
| |
Collapse
|
39
|
Mulroney L, Wulf MG, Schildkraut I, Tzertzinis G, Buswell J, Jain M, Olsen H, Diekhans M, Corrêa IR, Akeson M, Ettwiller L. Identification of high-confidence human poly(A) RNA isoform scaffolds using nanopore sequencing. RNA (NEW YORK, N.Y.) 2022; 28:162-176. [PMID: 34728536 PMCID: PMC8906549 DOI: 10.1261/rna.078703.121] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 10/13/2021] [Indexed: 06/13/2023]
Abstract
Nanopore sequencing devices read individual RNA strands directly. This facilitates identification of exon linkages and nucleotide modifications; however, using conventional direct RNA nanopore sequencing, the 5' and 3' ends of poly(A) RNA cannot be identified unambiguously. This is due in part to RNA degradation in vivo and in vitro that can obscure transcription start and end sites. In this study, we aimed to identify individual full-length human RNA isoforms among ∼4 million nanopore poly(A)-selected RNA reads. First, to identify RNA strands bearing 5' m7G caps, we exchanged the biological cap for a modified cap attached to a 45-nt oligomer. This oligomer adaptation method improved 5' end sequencing and ensured correct identification of the 5' m7G capped ends. Second, among these 5'-capped nanopore reads, we screened for features consistent with a 3' polyadenylation site. Combining these two steps, we identified 294,107 individual high-confidence full-length RNA scaffolds from human GM12878 cells, most of which (257,721) aligned to protein-coding genes. Of these, 4876 scaffolds indicated unannotated isoforms that were often internal to longer, previously identified RNA isoforms. Orthogonal data for m7G caps and open chromatin, such as CAGE and DNase-HS seq, confirmed the validity of these high-confidence RNA scaffolds.
Collapse
Affiliation(s)
- Logan Mulroney
- Biomolecular Engineering Department, UC Santa Cruz, California 95064, USA
| | | | | | | | - John Buswell
- New England Biolabs, Ipswich, Massachusetts 01938, USA
| | - Miten Jain
- Biomolecular Engineering Department, UC Santa Cruz, California 95064, USA
| | - Hugh Olsen
- Biomolecular Engineering Department, UC Santa Cruz, California 95064, USA
| | - Mark Diekhans
- Genomics Institute, UC Santa Cruz, California 95064, USA
| | - Ivan R Corrêa
- New England Biolabs, Ipswich, Massachusetts 01938, USA
| | - Mark Akeson
- Biomolecular Engineering Department, UC Santa Cruz, California 95064, USA
| | | |
Collapse
|
40
|
Mi Z, Zhongqiang C, Caiyun J, Yanan L, Jianhua W, Liang L. Circular RNA detection methods: A minireview. Talanta 2022; 238:123066. [PMID: 34808570 DOI: 10.1016/j.talanta.2021.123066] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 11/11/2021] [Accepted: 11/12/2021] [Indexed: 12/21/2022]
Abstract
Circular RNA (circRNA), a novel type of covalently closed RNA, is implicated in several developmental and metabolic disease processes. CircRNAs exhibit tissue-specific expression, and are stable, abundant, and highly conserved, making them ideal biomarkers for diagnosis and prognosis. Accurate profiling of circRNA, however, is a prerequisite for their clinical application. Traditional methods such as northern blotting, RT-qPCR, and microarray analysis provide useful but limited information. To address these issues, a number of novel assays have recently emerged, such as droplet digital PCR (ddPCR), isothermal exponential amplification, and rolling cycle amplification, which increase the sensitivity and specificity of circRNA detection. Herein, we summarize the advantages and limitations of the new detection methods and discuss the challenges as well as future directions.
Collapse
Affiliation(s)
- Zhang Mi
- Department of Pharmacy, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Chen Zhongqiang
- School of Medicine, Jianghan University, Wuhan, 430056, China
| | - Jiang Caiyun
- Department of Pharmacy, The Third Affiliate Hospital of Sun Yat-Sen University, Guangzhou, 510630, China
| | - Liu Yanan
- Department of Pharmacy, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Wu Jianhua
- Department of Pharmacy, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Liu Liang
- Department of Pharmacy, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
| |
Collapse
|
41
|
Mendes M, Russell AB. Library-based analysis reveals segment and length dependent characteristics of defective influenza genomes. PLoS Pathog 2021; 17:e1010125. [PMID: 34882752 PMCID: PMC8691639 DOI: 10.1371/journal.ppat.1010125] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Revised: 12/21/2021] [Accepted: 11/17/2021] [Indexed: 12/14/2022] Open
Abstract
Found in a diverse set of viral populations, defective interfering particles are parasitic variants that are unable to replicate on their own yet rise to relatively high frequencies. Their presence is associated with a loss of population fitness, both through the depletion of key cellular resources and the stimulation of innate immunity. For influenza A virus, these particles contain large internal deletions in the genomic segments which encode components of the heterotrimeric polymerase. Using a library-based approach, we comprehensively profile the growth and replication of defective influenza species, demonstrating that they possess an advantage during genome replication, and that exclusion during population expansion reshapes population composition in a manner consistent with their final, observed, distribution in natural populations. We find that an innate immune response is not linked to the size of a deletion; however, replication of defective segments can enhance their immunostimulatory properties. Overall, our results address several key questions in defective influenza A virus biology, and the methods we have developed to answer those questions may be broadly applied to other defective viruses.
Collapse
Affiliation(s)
- Marisa Mendes
- Division of Biological Sciences, University of California, San Diego, La Jolla, California, United States of America
| | - Alistair B. Russell
- Division of Biological Sciences, University of California, San Diego, La Jolla, California, United States of America
- * E-mail:
| |
Collapse
|
42
|
Philpott M, Watson J, Thakurta A, Brown T, Brown T, Oppermann U, Cribbs AP. Nanopore sequencing of single-cell transcriptomes with scCOLOR-seq. Nat Biotechnol 2021; 39:1517-1520. [PMID: 34211161 PMCID: PMC8668430 DOI: 10.1038/s41587-021-00965-w] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 05/21/2021] [Indexed: 12/28/2022]
Abstract
Here we describe single-cell corrected long-read sequencing (scCOLOR-seq), which enables error correction of barcode and unique molecular identifier oligonucleotide sequences and permits standalone cDNA nanopore sequencing of single cells. Barcodes and unique molecular identifiers are synthesized using dimeric nucleotide building blocks that allow error detection. We illustrate the use of the method for evaluating barcode assignment accuracy, differential isoform usage in myeloma cell lines, and fusion transcript detection in a sarcoma cell line.
Collapse
Affiliation(s)
- Martin Philpott
- Botnar Research Centre, Nuffield Department of Orthopedics, Rheumatology and Musculoskeletal Sciences, National Institute of Health Research Oxford Biomedical Research Unit (BRU), University of Oxford, Oxford, UK
- Oxford Centre for Translational Myeloma Research University of Oxford, Oxford, UK
| | | | - Anjan Thakurta
- Oxford Centre for Translational Myeloma Research University of Oxford, Oxford, UK
- Radcliffe Department of Medicine, Oxford University, Oxford, UK
- Translational Medicine, Bristol Myers Squibb, Summit, NJ, USA
| | | | - Tom Brown
- ATDBio, Oxford, UK
- Chemistry Research Laboratory, Department of Chemistry, University of Oxford, Oxford, UK
| | - Udo Oppermann
- Botnar Research Centre, Nuffield Department of Orthopedics, Rheumatology and Musculoskeletal Sciences, National Institute of Health Research Oxford Biomedical Research Unit (BRU), University of Oxford, Oxford, UK.
- Oxford Centre for Translational Myeloma Research University of Oxford, Oxford, UK.
- Centre for Medicines Discovery, University of Oxford, Oxford, UK.
| | - Adam P Cribbs
- Botnar Research Centre, Nuffield Department of Orthopedics, Rheumatology and Musculoskeletal Sciences, National Institute of Health Research Oxford Biomedical Research Unit (BRU), University of Oxford, Oxford, UK.
- Oxford Centre for Translational Myeloma Research University of Oxford, Oxford, UK.
| |
Collapse
|
43
|
Dubois J, Sczakiel G. The human TRAM1 locus expresses circular RNAs. Sci Rep 2021; 11:22114. [PMID: 34764360 PMCID: PMC8586232 DOI: 10.1038/s41598-021-01548-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 10/22/2021] [Indexed: 12/02/2022] Open
Abstract
Numerous indirect and in silico produced evidences suggest circular RNAs (circRNA) in mammals while thorough experimental proofs of their existence have rarely been reported. Biological studies of circRNA, however, should be based on experimentally verified circRNAs. Here, we describe the identification of two circRNAs originating from the gene locus of the translocation associated membrane protein 1 (TRAM1). Linear and potentially circular TRAM1-specific transcripts were identified in a transcriptome analysis of urine RNA of bladder cancer (BCa) patients versus healthy donors. Thus, we first focused on the topology of TRAM1-specific transcripts. We describe conclusive experimental evidence for the existence of TRAM1-specific circRNAs in the human BCa cell lines ECV-304 and RT-4. PCR-based methodology followed by cloning and sequencing strongly indicated the circular topology of two TRAM1 RNAs. Further, studies with exon fusion sequence-specific antisense oligonucleotides (asON) and RNase H as well as studies in the use of RNase R contribute to conclusive set of experiments supporting the circular topology of TRAM1 transcripts. On the biological side, TRAM1-specific circRNAs showed low expression levels and minor differences in BCa cell lines while linear TRAM1 transcripts displayed down-regulated expression in the higher cancer stage model ECV-304 versus more differentiated RT-4 cells.
Collapse
Affiliation(s)
- Josephine Dubois
- grid.4562.50000 0001 0057 2672Institut für Molekulare Medizin, Universität zu Lübeck and UKSH, Campus Lübeck, Ratzeburger Allee 160, 23538 Lübeck, Germany ,grid.214458.e0000000086837370Present Address: Division of Hematology and Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI USA
| | - Georg Sczakiel
- Institut für Molekulare Medizin, Universität zu Lübeck and UKSH, Campus Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany.
| |
Collapse
|
44
|
Reply to Grigoriev et al., "Sequences of SARS-CoV-2 "Hybrids" with the Human Genome: Signs 1 of Non-coding RNA?". J Virol 2021; 96:e0169021. [PMID: 34705544 PMCID: PMC8791293 DOI: 10.1128/jvi.01690-21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
|
45
|
Abstract
CircRNAs are a subclass of lncRNAs that have been found to be abundantly present in a wide range of species, including humans. CircRNAs are generally produced by a noncanonical splicing event called backsplicing that is dependent on the canonical splicing machinery, giving rise to circRNAs classified into three main categories: exonic circRNA, circular intronic RNA, and exon-intron circular RNA. Notably, circRNAs possess functional importance and display their functions through different mechanisms of action including sponging miRNAs, or even being translated into functional proteins. In addition, circRNAs also have great potential as biomarkers, particularly in cancer, thanks to their high stability, tissue type and developmental stage specificity, and their presence in biological fluids, which make them promising candidates as noninvasive biomarkers. In this chapter, we describe the most commonly used techniques for the study of circRNAs as cancer biomarkers, including high-throughput techniques such as RNA-Seq and microarrays, and other methods to analyze the presence of specific circRNAs in patient samples.
Collapse
Affiliation(s)
- Carla Solé
- Molecular Oncology Group, Biodonostia Research Institute, San Sebastián, Spain
| | - Gartze Mentxaka
- Molecular Oncology Group, Biodonostia Research Institute, San Sebastián, Spain
| | - Charles H Lawrie
- Molecular Oncology Group, Biodonostia Research Institute, San Sebastián, Spain. .,IKERBASQUE, Basque Foundation for Science, Bilbao, Spain. .,Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
| |
Collapse
|
46
|
Tao M, Zheng M, Xu Y, Ma S, Zhang W, Ju S. CircRNAs and their regulatory roles in cancers. Mol Med 2021; 27:94. [PMID: 34445958 PMCID: PMC8393742 DOI: 10.1186/s10020-021-00359-3] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Accepted: 08/18/2021] [Indexed: 01/17/2023] Open
Abstract
Circular RNAs (circRNAs), a novel type of non-coding RNAs (ncRNAs), have a covalently closed circular structure resulting from pre-mRNA back splicing via spliceosome and ribozymes. They can be classified differently in accordance with different criteria. As circRNAs are abundant, conserved, and stable, they can be used as diagnostic markers in various diseases and targets to develop new therapies. There are various functions of circRNAs, including sponge for miR/proteins, role of scaffolds, templates for translation, and regulators of mRNA translation and stability. Without m7G cap and poly-A tail, circRNAs can still be degraded in several ways, including RNase L, Ago-dependent, and Ago-independent degradation. Increasing evidence indicates that circRNAs can be modified by N-6 methylation (m6A) in many aspects such as biogenesis, nuclear export, translation, and degradation. In addition, they have been proved to play a regulatory role in the progression of various cancers. Recently, methods of detecting circRNAs with high sensitivity and specificity have also been reported. This review presents a detailed overview of circRNAs regarding biogenesis, biomarker, functions, degradation, and dynamic modification as well as their regulatory roles in various cancers. It’s particularly summarized in detail in the biogenesis of circRNAs, regulation of circRNAs by m6A modification and mechanisms by which circRNAs affect tumor progression respectively. Moreover, existing circRNA detection methods and their characteristics are also mentioned.
Collapse
Affiliation(s)
- Mei Tao
- Department of Laboratory Medicine, Affiliated Hospital of Nantong University, Xisi Road, No.20, Nantong, 226001, Jiangsu, China.,Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu, China.,Medical School of Nantong University, Nantong University, Nantong, 226001, Jiangsu, China
| | - Ming Zheng
- Department of Laboratory Medicine, Affiliated Hospital of Nantong University, Xisi Road, No.20, Nantong, 226001, Jiangsu, China.,Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu, China.,Medical School of Nantong University, Nantong University, Nantong, 226001, Jiangsu, China
| | - Yanhua Xu
- Department of Laboratory Medicine, Affiliated Hospital of Nantong University, Xisi Road, No.20, Nantong, 226001, Jiangsu, China.,Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu, China.,Medical School of Nantong University, Nantong University, Nantong, 226001, Jiangsu, China
| | - Shuo Ma
- Department of Laboratory Medicine, Affiliated Hospital of Nantong University, Xisi Road, No.20, Nantong, 226001, Jiangsu, China.,Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu, China.,Medical School of Nantong University, Nantong University, Nantong, 226001, Jiangsu, China
| | - Weiwei Zhang
- Department of Laboratory Medicine, Affiliated Hospital of Nantong University, Xisi Road, No.20, Nantong, 226001, Jiangsu, China. .,Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu, China.
| | - Shaoqing Ju
- Department of Laboratory Medicine, Affiliated Hospital of Nantong University, Xisi Road, No.20, Nantong, 226001, Jiangsu, China.
| |
Collapse
|
47
|
No evidence of SARS-CoV-2 reverse transcription and integration as the origin of chimeric transcripts in patient tissues. Proc Natl Acad Sci U S A 2021; 118:2109066118. [PMID: 34344759 PMCID: PMC8379926 DOI: 10.1073/pnas.2109066118] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
|
48
|
Ali A, Thorgaard GH, Salem M. PacBio Iso-Seq Improves the Rainbow Trout Genome Annotation and Identifies Alternative Splicing Associated With Economically Important Phenotypes. Front Genet 2021; 12:683408. [PMID: 34335690 PMCID: PMC8321248 DOI: 10.3389/fgene.2021.683408] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Accepted: 06/14/2021] [Indexed: 01/04/2023] Open
Abstract
Rainbow trout is an important model organism that has received concerted international efforts to study the transcriptome. For this purpose, short-read sequencing has been primarily used over the past decade. However, these sequences are too short of resolving the transcriptome complexity. This study reported a first full-length transcriptome assembly of the rainbow trout using single-molecule long-read isoform sequencing (Iso-Seq). Extensive computational approaches were used to refine and validate the reconstructed transcriptome. The study identified 10,640 high-confidence transcripts not previously annotated, in addition to 1,479 isoforms not mapped to the current Swanson reference genome. Most of the identified lncRNAs were non-coding variants of coding transcripts. The majority of genes had multiple transcript isoforms (average ∼3 isoforms/locus). Intron retention (IR) and exon skipping (ES) accounted for 56% of alternative splicing (AS) events. Iso-Seq improved the reference genome annotation, which allowed identification of characteristic AS associated with fish growth, muscle accretion, disease resistance, stress response, and fish migration. For instance, an ES in GVIN1 gene existed in fish susceptible to bacterial cold-water disease (BCWD). Besides, under five stress conditions, there was a commonly regulated exon in prolyl 4-hydroxylase subunit alpha-2 (P4HA2) gene. The reconstructed gene models and their posttranscriptional processing in rainbow trout provide invaluable resources that could be further used for future genetics and genomics studies. Additionally, the study identified characteristic transcription events associated with economically important phenotypes, which could be applied in selective breeding.
Collapse
Affiliation(s)
- Ali Ali
- Department of Animal and Avian Sciences, University of Maryland, College Park, College Park, MD, United States
| | - Gary H. Thorgaard
- School of Biological Sciences and Center for Reproductive Biology, Washington State University, Pullman, WA, United States
| | - Mohamed Salem
- Department of Animal and Avian Sciences, University of Maryland, College Park, College Park, MD, United States
| |
Collapse
|
49
|
Host-Virus Chimeric Events in SARS-CoV-2-Infected Cells Are Infrequent and Artifactual. J Virol 2021; 95:e0029421. [PMID: 33980601 DOI: 10.1128/jvi.00294-21] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
The pathogenic mechanisms underlying severe SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) infection remain largely unelucidated. High-throughput sequencing technologies that capture genome and transcriptome information are key approaches to gain detailed mechanistic insights from infected cells. These techniques readily detect both pathogen- and host-derived sequences, providing a means of studying host-pathogen interactions. Recent studies have reported the presence of host-virus chimeric (HVC) RNA in transcriptome sequencing (RNA-seq) data from SARS-CoV-2-infected cells and interpreted these findings as evidence of viral integration in the human genome as a potential pathogenic mechanism. Since SARS-CoV-2 is a positive-sense RNA virus that replicates in the cytoplasm, it does not have a nuclear phase in its life cycle. Thus, it is biologically unlikely to be in a location where splicing events could result in genome integration. Therefore, we investigated the biological authenticity of HVC events. In contrast to true biological events like mRNA splicing and genome rearrangement events, which generate reproducible chimeric sequencing fragments across different biological isolates, we found that HVC events across >100 RNA-seq libraries from patients with coronavirus disease 2019 (COVID-19) and infected cell lines were highly irreproducible. RNA-seq library preparation is inherently error prone due to random template switching during reverse transcription of RNA to cDNA. By counting chimeric events observed when constructing an RNA-seq library from human RNA and spiked-in RNA from an unrelated species, such as the fruit fly, we estimated that ∼1% of RNA-seq reads are artifactually chimeric. In SARS-CoV-2 RNA-seq, we found that the frequency of HVC events was, in fact, not greater than this background "noise." Finally, we developed a novel experimental approach to enrich SARS-CoV-2 sequences from bulk RNA of infected cells. This method enriched viral sequences but did not enrich HVC events, suggesting that the majority of HVC events are, in all likelihood, artifacts of library construction. In conclusion, our findings indicate that HVC events observed in RNA-sequencing libraries from SARS-CoV-2-infected cells are extremely rare and are likely artifacts arising from random template switching of reverse transcriptase and/or sequence alignment errors. Therefore, the observed HVC events do not support SARS-CoV-2 fusion to cellular genes and/or integration into human genomes. IMPORTANCE The pathogenic mechanisms underlying SARS-CoV-2, the virus responsible for COVID-19, are not fully understood. In particular, relatively little is known about the reasons some individuals develop life-threatening or persistent COVID-19. Recent studies identified host-virus chimeric (HVC) reads in RNA-sequencing data from SARS-CoV-2-infected cells and suggested that HVC events support potential "human genome invasion" and "integration" by SARS-CoV-2. This suggestion has fueled concerns about the long-term effects of current mRNA vaccines that incorporate elements of the viral genome. SARS-CoV-2 is a positive-sense, single-stranded RNA virus that does not encode a reverse transcriptase and does not include a nuclear phase in its life cycle, so some doubts have rightfully been expressed regarding the authenticity of HVCs and the role played by endogenous retrotransposons in this phenomenon. Thus, it is important to independently authenticate these HVC events. Here, we provide several lines of evidence suggesting that the observed HVC events are likely artifactual.
Collapse
|
50
|
Schulz L, Torres-Diz M, Cortés-López M, Hayer KE, Asnani M, Tasian SK, Barash Y, Sotillo E, Zarnack K, König J, Thomas-Tikhonenko A. Direct long-read RNA sequencing identifies a subset of questionable exitrons likely arising from reverse transcription artifacts. Genome Biol 2021; 22:190. [PMID: 34183059 PMCID: PMC8240250 DOI: 10.1186/s13059-021-02411-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 06/16/2021] [Indexed: 11/24/2022] Open
Abstract
Resistance to CD19-directed immunotherapies in lymphoblastic leukemia has been attributed, among other factors, to several aberrant CD19 pre-mRNA splicing events, including recently reported excision of a cryptic intron embedded within CD19 exon 2. While "exitrons" are known to exist in hundreds of human transcripts, we discovered, using reporter assays and direct long-read RNA sequencing (dRNA-seq), that the CD19 exitron is an artifact of reverse transcription. Extending our analysis to publicly available datasets, we identified dozens of questionable exitrons, dubbed "falsitrons," that appear only in cDNA-seq, but never in dRNA-seq. Our results highlight the importance of dRNA-seq for transcript isoform validation.
Collapse
MESH Headings
- Alternative Splicing
- Antibodies, Bispecific/pharmacology
- Antineoplastic Agents, Immunological/pharmacology
- Artifacts
- B-Lymphocytes/drug effects
- B-Lymphocytes/immunology
- B-Lymphocytes/pathology
- Base Pairing
- Base Sequence
- Cell Line, Tumor
- Datasets as Topic
- Exons
- High-Throughput Nucleotide Sequencing
- Humans
- Immunotherapy/methods
- Introns
- Models, Biological
- Nucleic Acid Conformation
- Precursor Cell Lymphoblastic Leukemia-Lymphoma/drug therapy
- Precursor Cell Lymphoblastic Leukemia-Lymphoma/genetics
- Precursor Cell Lymphoblastic Leukemia-Lymphoma/immunology
- Precursor Cell Lymphoblastic Leukemia-Lymphoma/pathology
- Protein Isoforms/chemistry
- Protein Isoforms/genetics
- Protein Isoforms/immunology
- RNA, Messenger/chemistry
- RNA, Messenger/genetics
- RNA, Messenger/immunology
- Receptors, Antigen, T-Cell/genetics
- Receptors, Antigen, T-Cell/immunology
- Reverse Transcription
Collapse
Affiliation(s)
- Laura Schulz
- Institute of Molecular Biology (IMB), Ackermannweg 4, 55128, Mainz, Germany
| | - Manuel Torres-Diz
- Division of Cancer Pathobiology, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | | | - Katharina E Hayer
- The Bioinformatics Group, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Mukta Asnani
- Division of Cancer Pathobiology, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Sarah K Tasian
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Yoseph Barash
- Department of Genetics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Elena Sotillo
- Division of Cancer Pathobiology, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
- Present address: Stanford Cancer Institute, 265 Campus Dr., Stanford, CA, 94305, USA
| | - Kathi Zarnack
- Buchmann Institute for Molecular Life Sciences (BMLS) and Faculty of Biological Sciences, Goethe University Frankfurt, Max-von-Laue-Str. 15, 60438, Frankfurt, Germany
| | - Julian König
- Institute of Molecular Biology (IMB), Ackermannweg 4, 55128, Mainz, Germany.
| | - Andrei Thomas-Tikhonenko
- Division of Cancer Pathobiology, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
- Department of Pathology & Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA.
| |
Collapse
|