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Song B, Huang D, Zhang Y, Wei Z, Su J, Pedro de Magalhães J, Rigden DJ, Meng J, Chen K. m6A-TSHub: Unveiling the Context-specific m 6A Methylation and m 6A-affecting Mutations in 23 Human Tissues. GENOMICS, PROTEOMICS & BIOINFORMATICS 2023; 21:678-694. [PMID: 36096444 PMCID: PMC10787194 DOI: 10.1016/j.gpb.2022.09.001] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 08/19/2022] [Accepted: 09/02/2022] [Indexed: 06/15/2023]
Abstract
As the most pervasive epigenetic marker present on mRNAs and long non-coding RNAs (lncRNAs), N6-methyladenosine (m6A) RNA methylation has been shown to participate in essential biological processes. Recent studies have revealed the distinct patterns of m6A methylome across human tissues, and a major challenge remains in elucidating the tissue-specific presence and circuitry of m6A methylation. We present here a comprehensive online platform, m6A-TSHub, for unveiling the context-specific m6A methylation and genetic mutations that potentially regulate m6A epigenetic mark. m6A-TSHub consists of four core components, including (1) m6A-TSDB, a comprehensive database of 184,554 functionally annotated m6A sites derived from 23 human tissues and 499,369 m6A sites from 25 tumor conditions, respectively; (2) m6A-TSFinder, a web server for high-accuracy prediction of m6A methylation sites within a specific tissue from RNA sequences, which was constructed using multi-instance deep neural networks with gated attention; (3) m6A-TSVar, a web server for assessing the impact of genetic variants on tissue-specific m6A RNA modifications; and (4) m6A-CAVar, a database of 587,983 The Cancer Genome Atlas (TCGA) cancer mutations (derived from 27 cancer types) that were predicted to affect m6A modifications in the primary tissue of cancers. The database should make a useful resource for studying the m6A methylome and the genetic factors of epitranscriptome disturbance in a specific tissue (or cancer type). m6A-TSHub is accessible at www.xjtlu.edu.cn/biologicalsciences/m6ats.
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Affiliation(s)
- Bowen Song
- Key Laboratory of Gastrointestinal Cancer (Fujian Medical University), Ministry of Education, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350004, China; Department of Mathematical Sciences, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China; Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, United Kingdom
| | - Daiyun Huang
- Department of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China; Department of Computer Science, University of Liverpool, Liverpool L69 7ZB, United Kingdom.
| | - Yuxin Zhang
- Department of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China
| | - Zhen Wei
- Department of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China; Institute of Ageing & Chronic Disease, University of Liverpool, Liverpool L69 7ZB, United Kingdom
| | - Jionglong Su
- School of AI and Advanced Computing, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China
| | - João Pedro de Magalhães
- Institute of Ageing & Chronic Disease, University of Liverpool, Liverpool L69 7ZB, United Kingdom
| | - Daniel J Rigden
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, United Kingdom
| | - Jia Meng
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, United Kingdom; Department of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China; AI University Research Centre, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China
| | - Kunqi Chen
- Key Laboratory of Gastrointestinal Cancer (Fujian Medical University), Ministry of Education, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350004, China.
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Tűzesi Á, Hallal S, Satgunaseelan L, Buckland ME, Alexander KL. Understanding the Epitranscriptome for Avant-Garde Brain Tumour Diagnostics. Cancers (Basel) 2023; 15:cancers15041232. [PMID: 36831575 PMCID: PMC9954771 DOI: 10.3390/cancers15041232] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 02/13/2023] [Accepted: 02/13/2023] [Indexed: 02/17/2023] Open
Abstract
RNA modifications are diverse, dynamic, and reversible transcript alterations rapidly gaining attention due to their newly defined RNA regulatory roles in cellular pathways and pathogenic mechanisms. The exciting emerging field of 'epitranscriptomics' is predominantly centred on studying the most abundant mRNA modification, N6-methyladenine (m6A). The m6A mark, similar to many other RNA modifications, is strictly regulated by so-called 'writer', 'reader', and 'eraser' protein species. The abundance of genes coding for the expression of these regulator proteins and m6A levels shows great potential as diagnostic and predictive tools across several cancer fields. This review explores our current understanding of RNA modifications in glioma biology and the potential of epitranscriptomics to develop new diagnostic and predictive classification tools that can stratify these highly complex and heterogeneous brain tumours.
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Affiliation(s)
- Ágota Tűzesi
- Department of Neuropathology, Royal Prince Alfred Hospital, Camperdown, NSW 2050, Australia
- School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2050, Australia
| | - Susannah Hallal
- Department of Neuropathology, Royal Prince Alfred Hospital, Camperdown, NSW 2050, Australia
- School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2050, Australia
- Department of Neurosurgery, Chris O’Brien Lifehouse, Camperdown, NSW 2050, Australia
| | - Laveniya Satgunaseelan
- Department of Neuropathology, Royal Prince Alfred Hospital, Camperdown, NSW 2050, Australia
- Sydney Medical School, Faculty of Medicine and Health Sciences, The University of Sydney, Sydney, NSW 2050, Australia
| | - Michael E. Buckland
- Department of Neuropathology, Royal Prince Alfred Hospital, Camperdown, NSW 2050, Australia
- School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2050, Australia
| | - Kimberley L. Alexander
- Department of Neuropathology, Royal Prince Alfred Hospital, Camperdown, NSW 2050, Australia
- School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2050, Australia
- Department of Neurosurgery, Chris O’Brien Lifehouse, Camperdown, NSW 2050, Australia
- Correspondence:
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Abstract
The epitranscriptome, defined as RNA modifications that do not involve alterations in the nucleotide sequence, is a popular topic in the genomic sciences. Because we need massive computational techniques to identify epitranscriptomes within individual transcripts, many tools have been developed to infer epitranscriptomic sites as well as to process datasets using high-throughput sequencing. In this review, we summarize recent developments in epitranscriptome spatial detection and data analysis and discuss their progression.
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Affiliation(s)
- Y-H Taguchi
- Department of Physics, Chuo University, Tokyo, Japan
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Affiliation(s)
- Morghan C Lucas
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Eva Maria Novoa
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.
- Universitat Pompeu Fabra (UPF), Barcelona, Spain.
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Emiliani FE, Hsu I, McKenna A. Multiplexed Assembly and Annotation of Synthetic Biology Constructs Using Long-Read Nanopore Sequencing. ACS Synth Biol 2022; 11:2238-2246. [PMID: 35695379 PMCID: PMC9295152 DOI: 10.1021/acssynbio.2c00126] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
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Recombinant DNA is
a fundamental tool in biotechnology and medicine.
These DNA sequences are often built, replicated, and delivered in
the form of plasmids. Validation of these plasmid sequences is a critical
and time-consuming step, which has been dominated for the last 35
years by Sanger sequencing. As plasmid sequences grow more complex
with new DNA synthesis and cloning techniques, we need new approaches
that address the corresponding validation challenges at scale. Here
we prototype a high-throughput plasmid sequencing approach using DNA
transposition and Oxford Nanopore sequencing. Our method, Circuit-seq,
creates robust, full-length, and accurate plasmid assemblies without
prior knowledge of the underlying sequence. We demonstrate the power
of Circuit-seq across a wide range of plasmid sizes and complexities,
generating full-length, contiguous plasmid maps. We then leverage
our long-read data to characterize epigenetic marks and estimate plasmid
contamination levels. Circuit-seq scales to large numbers of samples
at a lower per-sample cost than commercial Sanger sequencing, accelerating
a key step in synthetic biology, while low equipment costs make it
practical for individual laboratories.
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Affiliation(s)
- Francesco E Emiliani
- Department of Molecular and Systems Biology, Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire 03756, United States
| | - Ian Hsu
- Department of Molecular and Systems Biology, Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire 03756, United States
| | - Aaron McKenna
- Department of Molecular and Systems Biology, Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire 03756, United States.,Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire 03756, United States
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Kubiak-Szymendera M, Pryszcz LP, Białas W, Celińska E. Epigenetic Response of Yarrowia lipolytica to Stress: Tracking Methylation Level and Search for Methylation Patterns via Whole-Genome Sequencing. Microorganisms 2021; 9:microorganisms9091798. [PMID: 34576693 PMCID: PMC8471669 DOI: 10.3390/microorganisms9091798] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 08/20/2021] [Indexed: 01/02/2023] Open
Abstract
DNA methylation is a common, but not universal, epigenetic modification that plays an important role in multiple cellular processes. While definitely settled for numerous plant, mammalian, and bacterial species, the genome methylation in different fungal species, including widely studied and industrially-relevant yeast species, Yarrowia lipolytica, is still a matter of debate. In this paper, we report a differential DNA methylation level in the genome of Y. lipolytica subjected to sequential subculturing and to heat stress conditions. To this end, we adopted repeated batch bioreactor cultivations of Y. lipolytica subjected to thermal stress in specific time intervals. To analyze the variation in DNA methylation between stressed and control cultures, we (a) quantified the global DNA methylation status using an immuno-assay, and (b) studied DNA methylation patterns through whole-genome sequencing. Primarily, we demonstrated that 5 mC modification can be detected using a commercial immuno-assay, and that the modifications are present in Y. lipolytica’s genome at ~0.5% 5 mC frequency. On the other hand, we did not observe any changes in the epigenetic response of Y. lipolytica to heat shock (HS) treatment. Interestingly, we identified a general phenomenon of decreased 5 mC level in Y. lipolytica’s genome in the stationary phase of growth, when compared to a late-exponential epigenome. While this study provides an insight into the subculturing stress response and adaptation to the stress at epigenetic level by Y. lipolytica, it also leaves an open question of inability to detect any genomic DNA methylation level (either in CpG context or context-less) through whole-genome sequencing. The results of ONT sequencing, suggesting that 5 mC modification is either rare or non-existent in Y. lipolytica genome, are contradicted with the results of the immunoassay.
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Affiliation(s)
- Monika Kubiak-Szymendera
- Department of Biotechnology and Food Microbiology, Poznan University of Life Sciences, 460-637 Poznań, Poland; (M.K.-S.); (W.B.)
| | - Leszek P. Pryszcz
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, 08003 Barcelona, Spain;
| | - Wojciech Białas
- Department of Biotechnology and Food Microbiology, Poznan University of Life Sciences, 460-637 Poznań, Poland; (M.K.-S.); (W.B.)
| | - Ewelina Celińska
- Department of Biotechnology and Food Microbiology, Poznan University of Life Sciences, 460-637 Poznań, Poland; (M.K.-S.); (W.B.)
- Correspondence:
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