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Senn KA, Hoskins AA. Mechanisms and regulation of spliceosome-mediated pre-mRNA splicing in Saccharomyces cerevisiae. WILEY INTERDISCIPLINARY REVIEWS. RNA 2024; 15:e1866. [PMID: 38972853 DOI: 10.1002/wrna.1866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 05/19/2024] [Accepted: 05/28/2024] [Indexed: 07/09/2024]
Abstract
Pre-mRNA splicing, the removal of introns and ligation of flanking exons, is a crucial step in eukaryotic gene expression. The spliceosome, a macromolecular complex made up of five small nuclear RNAs (snRNAs) and dozens of proteins, assembles on introns via a complex pathway before catalyzing the two transesterification reactions necessary for splicing. All of these steps have the potential to be highly regulated to ensure correct mRNA isoform production for proper cellular function. While Saccharomyces cerevisiae (yeast) has a limited set of intron-containing genes, many of these genes are highly expressed, resulting in a large number of transcripts in a cell being spliced. As a result, splicing regulation is of critical importance for yeast. Just as in humans, yeast splicing can be influenced by protein components of the splicing machinery, structures and properties of the pre-mRNA itself, or by the action of trans-acting factors. It is likely that further analysis of the mechanisms and pathways of splicing regulation in yeast can reveal general principles applicable to other eukaryotes. This article is categorized under: RNA Processing > Splicing Mechanisms RNA Processing > Splicing Regulation/Alternative Splicing.
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Affiliation(s)
- Katherine Anne Senn
- Department of Biochemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Aaron A Hoskins
- Department of Biochemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA
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2
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Merens HE, Choquet K, Baxter-Koenigs AR, Churchman LS. Timing is everything: advances in quantifying splicing kinetics. Trends Cell Biol 2024:S0962-8924(24)00070-9. [PMID: 38777664 DOI: 10.1016/j.tcb.2024.03.007] [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: 12/07/2023] [Revised: 03/26/2024] [Accepted: 03/27/2024] [Indexed: 05/25/2024]
Abstract
Splicing is a highly regulated process critical for proper pre-mRNA maturation and the maintenance of a healthy cellular environment. Splicing events are impacted by ongoing transcription, neighboring splicing events, and cis and trans regulatory factors on the respective pre-mRNA transcript. Within this complex regulatory environment, splicing kinetics have the potential to influence splicing outcomes but have historically been challenging to study in vivo. In this review, we highlight recent technological advancements that have enabled measurements of global splicing kinetics and of the variability of splicing kinetics at single introns. We demonstrate how identifying features that are correlated with splicing kinetics has increased our ability to form potential models for how splicing kinetics may be regulated in vivo.
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Affiliation(s)
- Hope E Merens
- Harvard University, Department of Genetics, Boston, MA, USA
| | - Karine Choquet
- University of Sherbrooke, Department of Biochemistry and Functional Genomics, Sherbrooke, Québec, Canada
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3
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Zhang M, Wang H, Han J, Wang H, Jia Y, Hong W, Tang F, Li Z. Specific recognition and sensitive quantification of mRNA splice variants via one-pot ligation-dependent loop-mediated isothermal amplification. Analyst 2023; 148:5605-5611. [PMID: 37818948 DOI: 10.1039/d3an01382k] [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: 10/13/2023]
Abstract
Specific recognition and sensitive quantification of mRNA alternative splice variants have been a necessity for exploring the regulatory mechanism of RNA splicing and revealing the association between pre-mRNA splicing and transcriptome function, as well as disease diagnosis. However, their wide abundance range and high sequence homology pose enormous challenges for high sensitivity and selectivity quantification of splice variants. Herein, taking advantage of the excellent specificity of ligation and the powerful nucleic acid replication feature of loop-mediated isothermal amplification (LAMP), we developed a one-pot method (termed one-pot ligation-LAMP) for specific recognition and sensitive quantification of mRNA splicing variants based on two splicing junction-specific stem-loop DNA probe ligation and the subsequently initiating LAMP. The one-pot ligation-LAMP can specifically detect as low as 100 aM mRNA splice variants without any nonspecific signals and quantify them with a wide dynamics range spanning at least six orders of magnitude. We have demonstrated that the one-pot ligation-LAMP is a versatile and practical strategy for accurately quantifying different splicing variants in complex biological samples with high sensitivity all in one tube within 90 min, thereby providing an attractive tool for mRNA splice variant-related studies.
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Affiliation(s)
- Mai Zhang
- Beijing Key Laboratory for Bioengineering and Sensing Technology, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, 30 Xueyuan Road, Haidian District, Beijing 100083, China.
| | - Hui Wang
- Beijing Key Laboratory for Bioengineering and Sensing Technology, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, 30 Xueyuan Road, Haidian District, Beijing 100083, China.
| | - Jun Han
- National Textile and Leather Product Quality Inspection and Testing Centre, 15 Xili-Balizhuang, Chaoyang District, Beijing 100025, China
| | - Honghong Wang
- Beijing Key Laboratory for Bioengineering and Sensing Technology, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, 30 Xueyuan Road, Haidian District, Beijing 100083, China.
| | - Yuting Jia
- Beijing Key Laboratory for Bioengineering and Sensing Technology, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, 30 Xueyuan Road, Haidian District, Beijing 100083, China.
| | - Weixiang Hong
- Beijing Key Laboratory for Bioengineering and Sensing Technology, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, 30 Xueyuan Road, Haidian District, Beijing 100083, China.
| | - Fu Tang
- School of Materials Science and Engineering, University of Science and Technology Beijing, 30 Xueyuan Road, Haidian District, Beijing 100083, China
| | - Zhengping Li
- Beijing Key Laboratory for Bioengineering and Sensing Technology, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, 30 Xueyuan Road, Haidian District, Beijing 100083, China.
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4
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Dwyer ZW, Pleiss JA. The problem of selection bias in studies of pre-mRNA splicing. Nat Commun 2023; 14:1966. [PMID: 37031238 PMCID: PMC10082818 DOI: 10.1038/s41467-023-37650-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 03/24/2023] [Indexed: 04/10/2023] Open
Affiliation(s)
- Zachary W Dwyer
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York, USA
| | - Jeffrey A Pleiss
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York, USA.
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5
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Xu D, Tang L, Kapranov P. Complexities of mammalian transcriptome revealed by targeted RNA enrichment techniques. Trends Genet 2023; 39:320-333. [PMID: 36681580 DOI: 10.1016/j.tig.2022.12.004] [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: 08/29/2022] [Revised: 12/27/2022] [Accepted: 12/30/2022] [Indexed: 01/21/2023]
Abstract
Studies using highly sensitive targeted RNA enrichment methods have shown that a large portion of the human transcriptome remains to be discovered and that most of the genome is transcribed in a complex, interleaved fashion characterized by a complex web of transcripts emanating from protein coding and noncoding loci. These results resonate with those from single-cell transcriptome profiling endeavors that reveal the existence of multiple novel, cell type-specific transcripts and clearly demonstrate that our understanding of the complexities of the human transcriptome is far from being complete. Here, we review the current status of the targeted RNA enrichment techniques, their application to the discovery of novel cell type-specific transcripts, and their impact on our understanding of the human genome and transcriptome.
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Affiliation(s)
- Dongyang Xu
- Institute of Genomics, School of Medicine, Huaqiao University, 668 Jimei Road, Xiamen 361021, China
| | - Lu Tang
- Institute of Genomics, School of Medicine, Huaqiao University, 668 Jimei Road, Xiamen 361021, China
| | - Philipp Kapranov
- Institute of Genomics, School of Medicine, Huaqiao University, 668 Jimei Road, Xiamen 361021, China.
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6
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Gildea MA, Dwyer ZW, Pleiss JA. Transcript-specific determinants of pre-mRNA splicing revealed through in vivo kinetic analyses of the 1 st and 2 nd chemical steps. Mol Cell 2022; 82:2967-2981.e6. [PMID: 35830855 PMCID: PMC9391291 DOI: 10.1016/j.molcel.2022.06.020] [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: 10/13/2020] [Revised: 01/31/2022] [Accepted: 06/12/2022] [Indexed: 10/17/2022]
Abstract
We generate high-precision measurements of the in vivo rates of both chemical steps of pre-mRNA splicing across the genome-wide complement of substrates in yeast by coupling metabolic labeling, multiplexed primer-extension sequencing, and kinetic modeling. We demonstrate that the rates of intron removal vary widely, splice-site sequences are primary determinants of 1st step but have little apparent impact on 2nd step rates, and the 2nd step is generally faster than the 1st step. Ribosomal protein genes (RPGs) are spliced faster than non-RPGs at each step, and RPGs share evolutionarily conserved properties that may contribute to their faster splicing. A genetic variant defective in the 1st step of the pathway reveals a genome-wide defect in the 1st step but an unexpected, transcript-specific change in the 2nd step. Our work demonstrates that extended co-transcriptional association is an important determinant of splicing rate, a conclusion at odds with recent claims of ultra-fast splicing.
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Affiliation(s)
- Michael A Gildea
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14850, USA
| | - Zachary W Dwyer
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14850, USA
| | - Jeffrey A Pleiss
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14850, USA.
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7
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Medžiūnė J, Kapustina Ž, Žeimytė S, Jakubovska J, Sindikevičienė R, Čikotienė I, Lubys A. Advanced preparation of fragment libraries enabled by oligonucleotide-modified 2',3'-dideoxynucleotides. Commun Chem 2022; 5:34. [PMID: 36697673 PMCID: PMC9814608 DOI: 10.1038/s42004-022-00649-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 02/07/2022] [Indexed: 02/01/2023] Open
Abstract
The ever-growing demand for inexpensive, rapid, and accurate exploration of genomes calls for refinement of existing sequencing techniques. The development of next-generation sequencing (NGS) was a revolutionary milestone in genome analysis. While modified nucleotides already were inherent tools in sequencing and imaging, further modification of nucleotides enabled the expansion into even more diverse applications. Herein we describe the design and synthesis of oligonucleotide-tethered 2',3'-dideoxynucleotide (ddONNTP) terminators bearing universal priming sites attached to the nucleobase, as well as their enzymatic incorporation and performance in read-through assays. In the context of NGS library preparation, the incorporation of ddONNTP fulfills two requirements at once: the fragmentation step is integrated into the workflow and the obtained fragments are readily labeled by platform-specific adapters. DNA polymerases can incorporate ddONNTP nucleotides, as shown by primer extension assays. More importantly, reading through the unnatural linkage during DNA synthesis was demonstrated, with 25-30% efficiency in single-cycle extension.
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Affiliation(s)
- Justina Medžiūnė
- grid.420349.8Department of Research and Development, Thermo Fisher Scientific Baltics, Vilnius, LT-02241 Lithuania ,grid.6441.70000 0001 2243 2806Faculty of Chemistry and Geosciences, Vilnius University, Vilnius, LT-03225 Lithuania
| | - Žana Kapustina
- grid.420349.8Department of Research and Development, Thermo Fisher Scientific Baltics, Vilnius, LT-02241 Lithuania ,grid.6441.70000 0001 2243 2806Institute of Biosciences, Life Sciences Center, Vilnius University, Vilnius, LT-10257 Lithuania
| | - Simona Žeimytė
- grid.420349.8Department of Research and Development, Thermo Fisher Scientific Baltics, Vilnius, LT-02241 Lithuania
| | - Jevgenija Jakubovska
- grid.420349.8Department of Research and Development, Thermo Fisher Scientific Baltics, Vilnius, LT-02241 Lithuania
| | - Rūta Sindikevičienė
- grid.420349.8Department of Research and Development, Thermo Fisher Scientific Baltics, Vilnius, LT-02241 Lithuania
| | - Inga Čikotienė
- grid.420349.8Department of Research and Development, Thermo Fisher Scientific Baltics, Vilnius, LT-02241 Lithuania ,grid.6441.70000 0001 2243 2806Faculty of Chemistry and Geosciences, Vilnius University, Vilnius, LT-03225 Lithuania
| | - Arvydas Lubys
- grid.420349.8Department of Research and Development, Thermo Fisher Scientific Baltics, Vilnius, LT-02241 Lithuania
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8
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Li D, Huang Q, Huang L, Wen J, Luo J, Li Q, Peng Y, Zhang Y. Baiting out a full length sequence from unmapped RNA-seq data. BMC Genomics 2021; 22:857. [PMID: 34837950 PMCID: PMC8626966 DOI: 10.1186/s12864-021-08146-4] [Citation(s) in RCA: 3] [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: 05/02/2021] [Accepted: 11/03/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND As a powerful tool, RNA-Seq has been widely used in various studies. Usually, unmapped RNA-seq reads have been considered as useless and been trashed or ignored. RESULTS We develop a strategy to mining the full length sequence by unmapped reads combining with specific reverse transcription primers design and high throughput sequencing. In this study, we salvage 36 unmapped reads from standard RNA-Seq data and randomly select one 149 bp read as a model. Specific reverse transcription primers are designed to amplify its both ends, followed by next generation sequencing. Then we design a statistical model based on power law distribution to estimate its integrality and significance. Further, we validate it by Sanger sequencing. The result shows that the full length is 1556 bp, with insertion mutations in microsatellite structure. CONCLUSION We believe this method would be a useful strategy to extract the sequences information from the unmapped RNA-seq data. Further, it is an alternative way to get the full length sequence of unknown cDNA.
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Affiliation(s)
- Dongwei Li
- Animal Functional Genomics Group, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120 China
- Guangdong Provincial Key Laboratory of Protein Function and Regulation in Agricultural Organisms, College of Life Sciences, South China Agricultural University, Guangzhou, Guangdong 510642 China
| | - Qitong Huang
- Animal Functional Genomics Group, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120 China
- Animal Breeding and Genomic, Wageningen University & Research, Wageningen, 6708PB, Netherlands
| | - Lei Huang
- Animal Functional Genomics Group, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120 China
| | - Jikai Wen
- Guangdong Provincial Key Laboratory of Protein Function and Regulation in Agricultural Organisms, College of Life Sciences, South China Agricultural University, Guangzhou, Guangdong 510642 China
| | - Jing Luo
- Animal Functional Genomics Group, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120 China
| | - Qing Li
- Animal Functional Genomics Group, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120 China
| | - Yanling Peng
- Animal Functional Genomics Group, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120 China
| | - Yubo Zhang
- Animal Functional Genomics Group, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120 China
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9
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Wan Y, Anastasakis DG, Rodriguez J, Palangat M, Gudla P, Zaki G, Tandon M, Pegoraro G, Chow CC, Hafner M, Larson DR. Dynamic imaging of nascent RNA reveals general principles of transcription dynamics and stochastic splice site selection. Cell 2021; 184:2878-2895.e20. [PMID: 33979654 DOI: 10.1016/j.cell.2021.04.012] [Citation(s) in RCA: 62] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Revised: 11/12/2020] [Accepted: 04/08/2021] [Indexed: 01/06/2023]
Abstract
The activities of RNA polymerase and the spliceosome are responsible for the heterogeneity in the abundance and isoform composition of mRNA in human cells. However, the dynamics of these megadalton enzymatic complexes working in concert on endogenous genes have not been described. Here, we establish a quasi-genome-scale platform for observing synthesis and processing kinetics of single nascent RNA molecules in real time. We find that all observed genes show transcriptional bursting. We also observe large kinetic variation in intron removal for single introns in single cells, which is inconsistent with deterministic splice site selection. Transcriptome-wide footprinting of the U2AF complex, nascent RNA profiling, long-read sequencing, and lariat sequencing further reveal widespread stochastic recursive splicing within introns. We propose and validate a unified theoretical model to explain the general features of transcription and pervasive stochastic splice site selection.
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Affiliation(s)
- Yihan Wan
- Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Dimitrios G Anastasakis
- National Institute of Arthritis and Musculoskeletal and Skin Diseases, Bethesda, MD 20892, USA
| | | | - Murali Palangat
- Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Prabhakar Gudla
- Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - George Zaki
- Biomedical Informatics and Data Science Directorate, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Mayank Tandon
- Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA; Advanced Biomedical Computational Science, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Gianluca Pegoraro
- Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Carson C Chow
- Laboratory of Biological Modeling, NIDDK, Bethesda, MD, USA
| | - Markus Hafner
- National Institute of Arthritis and Musculoskeletal and Skin Diseases, Bethesda, MD 20892, USA.
| | - Daniel R Larson
- Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA.
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10
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Curion F, Handel AE, Attar M, Gallone G, Bowden R, Cader MZ, Clark MB. Targeted RNA sequencing enhances gene expression profiling of ultra-low input samples. RNA Biol 2020; 17:1741-1753. [PMID: 32597303 PMCID: PMC7746246 DOI: 10.1080/15476286.2020.1777768] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Revised: 03/16/2020] [Accepted: 04/20/2020] [Indexed: 12/22/2022] Open
Abstract
RNA-seq is the standard method for profiling gene expression in many biological systems. Due to the wide dynamic range and complex nature of the transcriptome, RNA-seq provides an incomplete characterization, especially of lowly expressed genes and transcripts. Targeted RNA sequencing (RNA CaptureSeq) focuses sequencing on genes of interest, providing exquisite sensitivity for transcript detection and quantification. However, uses of CaptureSeq have focused on bulk samples and its performance on very small populations of cells is unknown. Here we show CaptureSeq greatly enhances transcriptomic profiling of target genes in ultra-low-input samples and provides equivalent performance to that on bulk samples. We validate the performance of CaptureSeq using multiple probe sets on samples of iPSC-derived cortical neurons. We demonstrate up to 275-fold enrichment for target genes, the detection of 10% additional genes and a greater than 5-fold increase in identified gene isoforms. Analysis of spike-in controls demonstrated CaptureSeq improved both detection sensitivity and expression quantification. Comparison to the CORTECON database of cerebral cortex development revealed CaptureSeq enhanced the identification of sample differentiation stage. CaptureSeq provides sensitive, reliable and quantitative expression measurements on hundreds-to-thousands of target genes from ultra-low-input samples and has the potential to greatly enhance transcriptomic profiling when samples are limiting.
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Affiliation(s)
- Fabiola Curion
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Adam E Handel
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- Translational Molecular Neuroscience Group, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Moustafa Attar
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Kennedy Institute of Rheumatology, University of Oxford, Oxford, UK
| | - Giuseppe Gallone
- Department of Physiology, Anatomy, and Genetics, University of Oxford, Oxford, UK
| | - Rory Bowden
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - M. Zameel Cader
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- Translational Molecular Neuroscience Group, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Michael B Clark
- Department of Psychiatry, University of Oxford, Oxford, UK
- Centre for Stem Cell Systems, Department of Anatomy and Neuroscience, The University of Melbourne, Parkville, Australia
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11
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Maier KC, Gressel S, Cramer P, Schwalb B. Native molecule sequencing by nano-ID reveals synthesis and stability of RNA isoforms. Genome Res 2020; 30:1332-1344. [PMID: 32887688 PMCID: PMC7545145 DOI: 10.1101/gr.257857.119] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Accepted: 06/30/2020] [Indexed: 01/01/2023]
Abstract
Eukaryotic genes often generate a variety of RNA isoforms that can lead to functionally distinct protein variants. The synthesis and stability of RNA isoforms is poorly characterized because current methods to quantify RNA metabolism use short-read sequencing and cannot detect RNA isoforms. Here we present nanopore sequencing–based isoform dynamics (nano-ID), a method that detects newly synthesized RNA isoforms and monitors isoform metabolism. Nano-ID combines metabolic RNA labeling, long-read nanopore sequencing of native RNA molecules, and machine learning. Nano-ID derives RNA stability estimates and evaluates stability determining factors such as RNA sequence, poly(A)-tail length, secondary structure, translation efficiency, and RNA-binding proteins. Application of nano-ID to the heat shock response in human cells reveals that many RNA isoforms change their stability. Nano-ID also shows that the metabolism of individual RNA isoforms differs strongly from that estimated for the combined RNA signal at a specific gene locus. Nano-ID enables studies of RNA metabolism at the level of single RNA molecules and isoforms in different cell states and conditions.
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Affiliation(s)
- Kerstin C Maier
- Department of Molecular Biology, Max-Planck-Institute for Biophysical Chemistry, 37077 Göttingen, Germany
| | - Saskia Gressel
- Department of Molecular Biology, Max-Planck-Institute for Biophysical Chemistry, 37077 Göttingen, Germany
| | - Patrick Cramer
- Department of Molecular Biology, Max-Planck-Institute for Biophysical Chemistry, 37077 Göttingen, Germany
| | - Björn Schwalb
- Department of Molecular Biology, Max-Planck-Institute for Biophysical Chemistry, 37077 Göttingen, Germany
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12
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Lasham A, Tsai P, Fitzgerald SJ, Mehta SY, Knowlton NS, Braithwaite AW, Print CG. Accessing a New Dimension in TP53 Biology: Multiplex Long Amplicon Digital PCR to Specifically Detect and Quantitate Individual TP53 Transcripts. Cancers (Basel) 2020; 12:cancers12030769. [PMID: 32213968 PMCID: PMC7140069 DOI: 10.3390/cancers12030769] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 03/19/2020] [Accepted: 03/20/2020] [Indexed: 12/21/2022] Open
Abstract
TP53, the most commonly-mutated gene in cancer, undergoes complex alternative splicing. Different TP53 transcripts play different biological roles, both in normal function and in the progression of diseases such as cancer. The study of TP53’s alternative RNA splice forms and their use as clinical biomarkers has been hampered by limited specificity and quantitative accuracy of current methods. TP53 RNA splice variants differ at both 5’ and 3’ ends, but because they have a common central region of 618 bp, the individual TP53 transcripts are impossible to specifically detect and precisely quantitate using standard PCR-based methods or short-read RNA sequencing. Therefore, we devised multiplex probe-based long amplicon droplet digital PCR (ddPCR) assays, which for the first time allow precise end-to-end quantitation of the seven major TP53 transcripts, with amplicons ranging from 0.85 to 1.85 kb. Multiple modifications to standard ddPCR assay procedures were required to enable specific co-amplification of these long transcripts and to overcome issues with secondary structure. Using these assays, we show that several TP53 transcripts are co-expressed in breast cancers, and illustrate the potential for this method to identify novel TP53 transcripts in tumour cells. This capability will facilitate a new level of biological and clinical understanding of the alternatively-spliced TP53 isoforms.
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Affiliation(s)
- Annette Lasham
- Department of Molecular Medicine and Pathology, School of Medical Sciences, University of Auckland, Auckland 1142, New Zealand; (P.T.); (S.J.F.); (N.S.K.); (C.G.P.)
- Maurice Wilkins Centre, University of Auckland, Auckland 1010, New Zealand; (S.Y.M.); (A.W.B.)
- Correspondence:
| | - Peter Tsai
- Department of Molecular Medicine and Pathology, School of Medical Sciences, University of Auckland, Auckland 1142, New Zealand; (P.T.); (S.J.F.); (N.S.K.); (C.G.P.)
- Maurice Wilkins Centre, University of Auckland, Auckland 1010, New Zealand; (S.Y.M.); (A.W.B.)
| | - Sandra J. Fitzgerald
- Department of Molecular Medicine and Pathology, School of Medical Sciences, University of Auckland, Auckland 1142, New Zealand; (P.T.); (S.J.F.); (N.S.K.); (C.G.P.)
- Maurice Wilkins Centre, University of Auckland, Auckland 1010, New Zealand; (S.Y.M.); (A.W.B.)
| | - Sunali Y. Mehta
- Maurice Wilkins Centre, University of Auckland, Auckland 1010, New Zealand; (S.Y.M.); (A.W.B.)
- Department of Pathology, University of Otago, Dunedin 9016, New Zealand
| | - Nicholas S. Knowlton
- Department of Molecular Medicine and Pathology, School of Medical Sciences, University of Auckland, Auckland 1142, New Zealand; (P.T.); (S.J.F.); (N.S.K.); (C.G.P.)
- Maurice Wilkins Centre, University of Auckland, Auckland 1010, New Zealand; (S.Y.M.); (A.W.B.)
| | - Antony W. Braithwaite
- Maurice Wilkins Centre, University of Auckland, Auckland 1010, New Zealand; (S.Y.M.); (A.W.B.)
- Department of Pathology, University of Otago, Dunedin 9016, New Zealand
- Malaghan Institute of Medical Research, Wellington 6242, New Zealand
| | - Cristin G. Print
- Department of Molecular Medicine and Pathology, School of Medical Sciences, University of Auckland, Auckland 1142, New Zealand; (P.T.); (S.J.F.); (N.S.K.); (C.G.P.)
- Maurice Wilkins Centre, University of Auckland, Auckland 1010, New Zealand; (S.Y.M.); (A.W.B.)
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13
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Gildea MA, Dwyer ZW, Pleiss JA. Multiplexed primer extension sequencing: A targeted RNA-seq method that enables high-precision quantitation of mRNA splicing isoforms and rare pre-mRNA splicing intermediates. Methods 2019; 176:34-45. [PMID: 31121301 DOI: 10.1016/j.ymeth.2019.05.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Revised: 05/17/2019] [Accepted: 05/17/2019] [Indexed: 10/26/2022] Open
Abstract
The study of pre-mRNA splicing has been greatly aided by the advent of RNA sequencing (RNA-seq), which enables the genome-wide detection of discrete splice isoforms. Quantification of these splice isoforms requires analysis of splicing informative sequencing reads, those that unambiguously map to a single splice isoform, including exon-intron spanning alignments corresponding to retained introns, as well as exon-exon junction spanning alignments corresponding to either canonically- or alternatively-spliced isoforms. Because most RNA-seq experiments are designed to produce sequencing alignments that uniformly cover the entirety of transcripts, only a comparatively small number of splicing informative alignments are generated for any given splice site, leading to a decreased ability to detect and/or robustly quantify many splice isoforms. To address this problem, we have recently described a method termed Multiplexed Primer Extension sequencing, or MPE-seq, which uses pools of reverse transcription primers to target sequencing to user selected loci. By targeting reverse transcription to pre-mRNA splice junctions, this approach enables a dramatic enrichment in the fraction of splicing informative alignments generated per splicing event, yielding an increase in both the precision with which splicing efficiency can be measured, and in the detection of splice isoforms including rare splicing intermediates. Here we provide a brief review of the shortcomings associated with RNA-seq that drove our development of MPE-seq, as well as a detailed protocol for implementation of MPE-seq.
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Affiliation(s)
- Michael A Gildea
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, United States
| | - Zachary W Dwyer
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, United States
| | - Jeffrey A Pleiss
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, United States.
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