Ultrafast SBS Method for Large-Scale Human Resequencing
用于大规模人体重测序的超快 SBS 方法
基本信息
- 批准号:7216823
- 负责人:
- 金额:$ 38.61万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2004
- 资助国家:美国
- 起止时间:2004-09-29 至 2008-06-30
- 项目状态:已结题
- 来源:
- 关键词:AddressAlgorithmsAreaBiological AssayChromosomesChromosomes, Human, Pair 3ColorComputer softwareComputing MethodologiesCoupledDNADNA ResequencingDNA SequenceDNA deliveryDNA-Directed DNA PolymeraseDataData Storage and RetrievalDevelopmentDiagnosisDiseaseDisease ProgressionEnzymesEvaluationFacility Construction Funding CategoryFoundationsGelGenerationsGenomicsGoalsHumanHuman GenomeImageImaging DeviceInformaticsInheritedKineticsLabelLaboratoriesLeadLengthLibrariesMapsMetabolicMethodologyMethodsMicrofluidic MicrochipsMicrofluidicsMolecular BiologyMutateMutationNumbersOligonucleotide MicroarraysOligonucleotidesPatientsPharmaceutical PreparationsPhysiologic pulsePolymeraseProcessPropertyProphylactic treatmentPublishingPulse takingReactionReadingResearchResearch PersonnelResolutionRisk FactorsRoleSamplingScreening procedureSingle Nucleotide PolymorphismSynthesis ChemistrySystemTechnologyThermodynamicsWhole BloodWorkbasecombinatorialdensitydesigndesiregenome sequencingimaging detectorimprovedmutantnew technologynucleoside triphosphateprescription documentprescription procedureprogramsprototyperesponse
项目摘要
DESCRIPTION (provided by applicant): Identifying and understanding roles of single nucleotide polymorphisms (SNPs) will lead to accurate diagnosis of inherited disease states, determination of risk factors, and characterization of patients' metabolic profiles. Such technology promises to lead to prophylactic treatments to delay the onset or progression of disease, and prescriptions of the safest and most efficacious medications. Current DNA sequencing technology, however, is too slow and expensive for these tasks.
Here, we propose to develop an ultrafast DNA sequencing system featuring sequencing-by-synthesis (SBS) on high-density oligonucleotide arrays, each with approximately one million primer features. The collaborative team involved in this project was responsible for some of the earliest published work on SBS, and recognize the fundamental challenge that any method based on this approach must address before tangible progress to a practical system can be made. That is, to identify combinations of appropriately modified nucleoside triphosphates that will be accepted, efficiently and with high fidelity, by suitably mutated DNA replicating enzymes. Consequently, this proposal features a strong synthetic chemistry component featuring two laboratories focused on the preparing nucleoside triphosphates with fluorescent, labile 3'-protecting groups. It also describes molecular biology to produce relatively large libraries of mutated polymerases. Even though the numbers of modified enzymes generated is high, the mutations will focus on key structural regions to maximize the chances of finding suitable systems. This molecular biology component is coupled with a combinatorial screen to rapidly identify suitable enzyme/modified dNTP pairs. Once suitable combinations are identified, then the SBS methodology will be implemented using high-density arrays that, uniquely, orientate oligonucleotides in the desired 5'-> 3' direction. This core technology fits into a broader, comprehensive research plan encompassing microfluidics for sample manipulation and delivery of the DNA to the SBS system, fluorescent imaging via our proprietary Pulse-Multiline Excitation (PME) system, computational methods for identifying an optimal tiling path and thermodynamic properties of oligonucleotides across whole chromosomes, and informatics to process and store the data generated. The overall goal is, by the end of year three, to complete sequencing of chromosomes 3, 12 & X, which cover approximately 0.5 gigabases and would lay the foundation for whole genome sequencing.
描述(由申请人提供):识别和理解单核苷酸多态性(SNP)的作用将导致遗传性疾病状态的准确诊断,风险因素的确定和患者代谢特征的表征。这种技术有望导致预防性治疗,以延缓疾病的发作或进展,并开出最安全和最有效的药物处方。然而,目前的DNA测序技术对于这些任务来说太慢和昂贵。
在这里,我们建议开发一个超快的DNA测序系统,其特点是在高密度寡核苷酸阵列上进行合成测序(SBS),每个阵列具有大约一百万个引物特征。参与该项目的合作团队负责SBS的一些最早发表的工作,并认识到任何基于这种方法的方法在实际系统取得切实进展之前必须解决的基本挑战。也就是说,鉴定适当修饰的核苷三磷酸的组合,其将被适当突变的DNA复制酶有效地和高保真地接受。因此,该提案具有强大的合成化学成分,其中两个实验室专注于制备具有荧光,不稳定的3 '-保护基团的核苷三磷酸。它还描述了产生相对大的突变聚合酶文库的分子生物学。尽管产生的修饰酶的数量很高,但突变将集中在关键结构区域,以最大限度地提高找到合适系统的机会。该分子生物学组件与组合筛选相结合,以快速鉴定合适的酶/修饰的dNTP对。一旦鉴定出合适的组合,则将使用高密度阵列实施SBS方法,所述高密度阵列在所需的5 '-> 3'方向上独特地定向寡核苷酸。该核心技术适合更广泛,全面的研究计划,包括用于样品操作和将DNA输送到SBS系统的微流体,通过我们专有的脉冲多线激发(PME)系统进行荧光成像,用于识别整个染色体上寡核苷酸的最佳平铺路径和热力学性质的计算方法,以及处理和存储生成数据的信息学。总体目标是,到第三年年底,完成3号、12号和X号染色体的测序,覆盖约0.5千兆碱基,为全基因组测序奠定基础。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Michael L. Metzker其他文献
Sequencing technologies — the next generation
测序技术——下一代
- DOI:
10.1038/nrg2626 - 发表时间:
2009-12-08 - 期刊:
- 影响因子:52.000
- 作者:
Michael L. Metzker - 通讯作者:
Michael L. Metzker
Michael L. Metzker的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Michael L. Metzker', 18)}}的其他基金
Efficient Creation of Long-Template Libraries for Next-Generation Sequencing
高效创建用于下一代测序的长模板库
- 批准号:
9049170 - 财政年份:2016
- 资助金额:
$ 38.61万 - 项目类别:
Digital Analysis of Plasma miRNA populations in Pancreatic Cancer
胰腺癌血浆 miRNA 群的数字分析
- 批准号:
9141679 - 财政年份:2016
- 资助金额:
$ 38.61万 - 项目类别:
Targeted CRT sequencing of 1000 genes in KPD patients
KPD 患者 1000 个基因的靶向 CRT 测序
- 批准号:
7511240 - 财政年份:2008
- 资助金额:
$ 38.61万 - 项目类别:
Targeted CRT sequencing of 1000 genes in KPD patients
KPD 患者 1000 个基因的靶向 CRT 测序
- 批准号:
7933475 - 财政年份:2008
- 资助金额:
$ 38.61万 - 项目类别:
Targeted CRT sequencing of 1000 genes in KPD patients
KPD 患者 1000 个基因的靶向 CRT 测序
- 批准号:
7666179 - 财政年份:2008
- 资助金额:
$ 38.61万 - 项目类别:
Targeted CRT sequencing of 1000 genes in KPD patients
KPD 患者 1000 个基因的靶向 CRT 测序
- 批准号:
8097662 - 财政年份:2008
- 资助金额:
$ 38.61万 - 项目类别:
Ultrafast SBS Method for Large-Scale Human Resequencing
用于大规模人体重测序的超快 SBS 方法
- 批准号:
6953265 - 财政年份:2004
- 资助金额:
$ 38.61万 - 项目类别:
Ultrafast SBS Method for Large-Scale Human Resequencing
用于大规模人体重测序的超快 SBS 方法
- 批准号:
7487706 - 财政年份:2004
- 资助金额:
$ 38.61万 - 项目类别:
相似海外基金
Approximate algorithms and architectures for area efficient system design
区域高效系统设计的近似算法和架构
- 批准号:
LP170100311 - 财政年份:2018
- 资助金额:
$ 38.61万 - 项目类别:
Linkage Projects
AMPS: Rank Minimization Algorithms for Wide-Area Phasor Measurement Data Processing
AMPS:用于广域相量测量数据处理的秩最小化算法
- 批准号:
1736326 - 财政年份:2017
- 资助金额:
$ 38.61万 - 项目类别:
Standard Grant
Low Power, Area Efficient, High Speed Algorithms and Architectures for Computer Arithmetic, Pattern Recognition and Cryptosystems
用于计算机算术、模式识别和密码系统的低功耗、面积高效、高速算法和架构
- 批准号:
1686-2013 - 财政年份:2017
- 资助金额:
$ 38.61万 - 项目类别:
Discovery Grants Program - Individual
Rigorous simulation of speckle fields caused by large area rough surfaces using fast algorithms based on higher order boundary element methods
使用基于高阶边界元方法的快速算法对大面积粗糙表面引起的散斑场进行严格模拟
- 批准号:
375876714 - 财政年份:2017
- 资助金额:
$ 38.61万 - 项目类别:
Research Grants
Low Power, Area Efficient, High Speed Algorithms and Architectures for Computer Arithmetic, Pattern Recognition and Cryptosystems
用于计算机算术、模式识别和密码系统的低功耗、面积高效、高速算法和架构
- 批准号:
1686-2013 - 财政年份:2016
- 资助金额:
$ 38.61万 - 项目类别:
Discovery Grants Program - Individual
Low Power, Area Efficient, High Speed Algorithms and Architectures for Computer Arithmetic, Pattern Recognition and Cryptosystems
用于计算机算术、模式识别和密码系统的低功耗、面积高效、高速算法和架构
- 批准号:
1686-2013 - 财政年份:2015
- 资助金额:
$ 38.61万 - 项目类别:
Discovery Grants Program - Individual
Low Power, Area Efficient, High Speed Algorithms and Architectures for Computer Arithmetic, Pattern Recognition and Cryptosystems
用于计算机算术、模式识别和密码系统的低功耗、面积高效、高速算法和架构
- 批准号:
1686-2013 - 财政年份:2014
- 资助金额:
$ 38.61万 - 项目类别:
Discovery Grants Program - Individual
AREA: Optimizing gene expression with mRNA free energy modeling and algorithms
区域:利用 mRNA 自由能建模和算法优化基因表达
- 批准号:
8689532 - 财政年份:2014
- 资助金额:
$ 38.61万 - 项目类别:
CPS: Synergy: Collaborative Research: Distributed Asynchronous Algorithms and Software Systems for Wide-Area Monitoring of Power Systems
CPS:协同:协作研究:用于电力系统广域监控的分布式异步算法和软件系统
- 批准号:
1329780 - 财政年份:2013
- 资助金额:
$ 38.61万 - 项目类别:
Standard Grant
CPS: Synergy: Collaborative Research: Distributed Asynchronous Algorithms and Software Systems for Wide-Area Mentoring of Power Systems
CPS:协同:协作研究:用于电力系统广域指导的分布式异步算法和软件系统
- 批准号:
1329745 - 财政年份:2013
- 资助金额:
$ 38.61万 - 项目类别:
Standard Grant














{{item.name}}会员




