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A Unified Nanopore Platform for Direct Sequencing of Individual Full Length RNA Strands Bearing Modified Nucleotides

A Unified Nanopore Platform for Direct Sequencing of Individual Full Length RNA Strands Bearing Modified Nucleotides
用于对带有修饰核苷酸的单个全长 RNA 链进行直接测序的统一纳米孔平台
批准号:
10163247
负责人:
MARK A AKESON
金额:
$95.48万
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-06-01 至 2024-04-30

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ABSTRACT We propose to implement a unified platform for detecting RNA nucleotide modifications on contiguous full length RNA strands using nanopore direct RNA sequencing. In principle, this technology could be used for all classes of RNA molecules in prokaryotic and eukaryotic cells. It is a logical technical advance for RNA sequencing because the current standard, sequencing-by-synthesis using Solexa technology requires conversion of native cellular RNA into short (~300 nt) cDNA amplicons. In so doing, nucleotide modifications are erased and the continuity of intact RNA strands is lost, thus precluding accurate quantification of RNA isoforms. Nanopore strand sequencing overcomes these limitations because the ~2 nanometer-long integral sensor touches and identifies each base along intact native RNA strands as they are driven through the pore by an applied voltage. Thus, end-to-end sequence analysis of a given RNA strand is achieved. During the grant period, we will pursue three specific aims: 1) Establish baseline performance of ONT direct RNA sequencing, and implement targeted improvements; 2) Implement methods to discover and document nucleotide modifications on native RNA strands; and 3) Optimize nanopore technology for analysis of mRNA isoform diversity. UC Santa Cruz is uniquely equipped to undertake this project: i) We pioneered nanopore RNA strand analysis (Akeson/Deamer) and recently demonstrated that the Oxford Nanopore MinION nanopore sequencer can resolve single nucleotide variants and base modifications in single 16S rRNA strands (Akeson). ii) Our RNA Center includes fourteen faculty members. Co-investigators on this application have expertise in mechanisms of RNA splicing (Sanford), the functional consequences of normal and aberrant RNA isoform synthesis (Brooks), and the structural biology of RNA (Ares). Collaborating RNA Center faculty will advise on nuclear non-coding RNA experiments (Carpenter, Kim) and on H9 ES cells (Salama). iii) Our Genomics Institute is internationally recognized for bioinformatics, including recent advances in application of Recurrent Neural Networks to human genome haplotyping, and genome-wide nanopore detection of base modifications (Paten).
期刊论文(6)
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科研奖励(0)
会议论文
Inflammation drives alternative first exon usage to regulate immune genes including a novel iron-regulated isoform of Aim2.
炎症驱动替代性的首次外显子使用,以调节包括AIM2的新型铁调节的同工型,包括AIM2的新型免疫基因。
DOI: 10.7554/elife.69431
发表时间: 2021-05-28
期刊: eLife
影响因子: 7.7
作者: [Robinson EK, Jagannatha P, Covarrubias S, Cattle M, Smaliy V, Safavi R, Shapleigh B, Abu-Shumays R, Jain M, Cloonan SM, Akeson M, Brooks AN, Carpenter S]
通讯作者: Carpenter S
Direct Nanopore Sequencing of Individual Full Length tRNA Strands.
单个全长tRNA链的直接纳米孔测序。
DOI: 10.1021/acsnano.1c06488
发表时间: 2021-10-26
期刊: ACS NANO
影响因子: 17.1
作者: [Thomas, Niki K., Poodari, Vinay C., Jain, Miten, Olsen, Hugh E., Akeson, Mark, Abu-Shumays, Robin L.]
通讯作者: Abu-Shumays, Robin L.
DOI: 10.1093/nar/gkac144
发表时间: 2022-04-08
期刊: Nucleic acids research
影响因子: 14.9
作者: [Ugolini C, Mulroney L, Leger A, Castelli M, Criscuolo E, Williamson MK, Davidson AD, Almuqrin A, Giambruno R, Jain M, Frigè G, Olsen H, Tzertzinis G, Schildkraut I, Wulf MG, Corrêa IR, Ettwiller L, Clementi N, Clementi M, Mancini N, Birney E, Akeson M, Nicassio F, Matthews DA, Leonardi T]
通讯作者: Leonardi T
DOI: 10.1261/rna.078703.121
发表时间: 2022-03
期刊: RNA (New York, N.Y.)
影响因子: --
作者: [Mulroney L, Wulf MG, Schildkraut I, Tzertzinis G, Buswell J, Jain M, Olsen H, Diekhans M, Corrêa IR Jr, Akeson M, Ettwiller L]
通讯作者: Ettwiller L
Optimization of Nanopore Genomic DNA Sequencing
Optimization of Nanopore Genomic DNA Sequencing
Optimization of Nanopore Genomic DNA Sequencing
Optimization of Processive Enzymes for DNA Sequencing using Nanopores
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