SemiSynBio: An On-Chip Nanoscale Storage System Using Chimeric DNA

SemiSynBio:使用嵌合 DNA 的片上纳米级存储系统

基本信息

项目摘要

DNA-based data storage is an emerging recording paradigm that has received significant attention from the scientific community due to several recent demonstrations of the viability of storing information in macro-molecules. Unlike classical optical and magnetic storage technologies, DNA-based storage platforms offer extremely high recording densities, and they do not require electrical supply to maintain data integrity. Furthermore, under mild maintenance conditions, DNA retains its information content for centuries while still allowing users to retrieve the information independent of the specific reading technology. Still, despite the promises of DNA-based archival systems, several problems remain that prevent wide-scale deployment of the technology. These include the high cost of DNA synthesis, the lack of structural and distributed organization of data encoded in DNA, and the nonexistence of an integrated random access and readout mechanism. To address these issues, this collaborative project aims to test and implement a new molecular storage paradigm that combines unique ideas in polymer chemistry, coding theory and molecular dynamics modeling, as well as new nano-material and solid state nano-pore technologies. The accompanying interdisciplinary research and educational programs involve experts in chemistry, biophysics, electrical engineering and theoretical computer science and aim to train a new cadre of students able to address future scientific challenges in molecular storage and computing systems. The technical goal of the proposed program is to reduce the cost-integration barrier between classical recorders and DNA-based data storage devices by developing a new system centered around chimeric DNA, comprising cheap native DNA and chemically modified nucleotides. Chemically-modified nucleotides extend the coding alphabet from four symbols to more than twenty. Chimeric DNA is stored and accessed using a novel implementation of self-rolled semiconductor micro-tubular grids, controlled by three-dimensional arrays of electrodes. Random access in such systems is achieved via voltage modulation, with selected DNA guided into a sample preparation and specialized nano-pore sequencing device. The implementation of such systems is aided by new software tools for molecular dynamics simulations. Additional system support is provided via new coding methods that combat the effects of chimeric DNA integration and nano-pore sensing errors. Particular research challenges include identifying chemical modifications in nucleotides amenable for detection via nano-pore sequencers, calculating electrostatic forces within the tubes and within the pores in the presence of chimeric DNA, and integrating the micro tubular chip with an on-chip sample preparation and sensing device. Supporting work on bioinformatics and coding theoretic algorithmic development are expected to ensure additional robustness and operational stability of the proposed system.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
基于DNA的数据存储是一种新兴的记录范式,由于最近的几次证明了在宏观分子中存储信息的可行性,因此受到了科学界的极大关注。与经典的光学存储技术不同,基于DNA的存储平台提供了极高的记录密度,并且它们不需要电源来维持数据完整性。此外,在温和的维护条件下,DNA将其信息内容保留了几个世纪,同时仍允许用户检索独立于特定阅读技术的信息。尽管如此,尽管有基于DNA的档案系统的承诺,但仍有几个问题阻止了该技术的广泛部署。其中包括DNA合成的高成本,缺乏DNA中编码的数据的结构和分布式组织以及综合随机访问和读出机制的不存在。为了解决这些问题,该协作项目旨在测试和实施一个新的分子存储范式,该范式结合了聚合物化学,编码理论和分子动力学建模以及新的纳米材料和固态纳米孔技术的独特思想。随附的跨学科研究和教育计划涉及化学,生物物理学,电气工程和理论计算机科学方面的专家,并旨在培训能够解决分子存储和计算系统中未来科学挑战的新学生。该计划的技术目标是通过开发围绕嵌合DNA的新系统来减少经典记录器和基于DNA的数据存储设备之间的成本整合屏障,包括廉价的天然DNA和化学修饰的核苷酸。化学修饰的核苷酸将编码字母从四个符号扩展到二十多个符号。使用新型的自动半导体微管网格的新实现来存储和访问嵌合DNA,并由三维电极控制。通过电压调制来实现此类系统中的随机访问,选定的DNA引导到样品制备和专门的纳米孔测序设备。用于分子动力学模拟的新软件工具的实现得到了这种系统的实现。通过与嵌合DNA积分和纳米孔传感误差的影响作用的新编码方法提供了其他系统支持。特定的研究挑战包括鉴定可通过纳米孔测序仪检测的核苷酸中的化学修饰,在存在嵌合DNA的情况下在管中和孔内计算静电力,并将微管芯片与片剂样品制备和感应装置整合在一起。预期支持生物信息学和编码理论算法开发的工作,以确保拟议系统的额外鲁棒性和运营稳定性。该奖项反映了NSF的法定任务,并被认为是通过基金会的知识分子优点和更广泛的影响标准通过评估来进行评估的。

项目成果

期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Electrically Controlled Nanofluidic DNA Sluice for Data Storage Applications
  • DOI:
    10.1021/acsanm.1c02519
  • 发表时间:
    2021-10-12
  • 期刊:
  • 影响因子:
    5.9
  • 作者:
    Athreya, Nagendra;Khandelwal, Apratim;Leburton, Jean-Pierre
  • 通讯作者:
    Leburton, Jean-Pierre
Coded Trace Reconstruction
  • DOI:
    10.1109/tit.2020.2996377
  • 发表时间:
    2020-10-01
  • 期刊:
  • 影响因子:
    2.5
  • 作者:
    Cheraghchi, Mahdi;Gabrys, Ryan;Ribeiro, Joao
  • 通讯作者:
    Ribeiro, Joao
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Olgica Milenkovic其他文献

On the generalized Hamming weight enumerators and coset weight distributions of even isodual codes
关于偶等对码的广义汉明权重枚举器和陪集权重分布
Detection and Mapping of dsDNA Breaks using Graphene Nanopore Transistor
  • DOI:
    10.1016/j.bpj.2018.11.1580
  • 发表时间:
    2019-02-15
  • 期刊:
  • 影响因子:
  • 作者:
    Nagendra Athreya;Olgica Milenkovic;Jean-Pierre Leburton
  • 通讯作者:
    Jean-Pierre Leburton
Query-based selection of optimal candidates under the Mallows model
  • DOI:
    10.1016/j.tcs.2023.114206
  • 发表时间:
    2023-11-10
  • 期刊:
  • 影响因子:
  • 作者:
    Xujun Liu;Olgica Milenkovic;George V. Moustakides
  • 通讯作者:
    George V. Moustakides

Olgica Milenkovic的其他文献

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{{ truncateString('Olgica Milenkovic', 18)}}的其他基金

Collaborative Research: CIF-Medium: Privacy-preserving Machine Learning on Graphs
合作研究:CIF-Medium:图上的隐私保护机器学习
  • 批准号:
    2402815
  • 财政年份:
    2024
  • 资助金额:
    $ 200万
  • 项目类别:
    Standard Grant
Collaborative Research: CIF: Medium: Group testing for Real-Time Polymerase Chain Reactions: From Primer Selection to Amplification Curve Analysis
合作研究:CIF:中:实时聚合酶链式反应的分组测试:从引物选择到扩增曲线分析
  • 批准号:
    2107344
  • 财政年份:
    2021
  • 资助金额:
    $ 200万
  • 项目类别:
    Continuing Grant
Collaborative Research: CIF: Small: Coded String Reconstruction Problems in Molecular Storage
合作研究:CIF:小型:分子存储中的编码串重建问题
  • 批准号:
    2008125
  • 财政年份:
    2020
  • 资助金额:
    $ 200万
  • 项目类别:
    Standard Grant
Collaborative Research: CIF: Medium: New Methods for Learning on Hypergraphs for Single-Cell Chromatin Data Analysis
合作研究:CIF:Medium:用于单细胞染色质数据分析的超图学习新方法
  • 批准号:
    1956384
  • 财政年份:
    2020
  • 资助金额:
    $ 200万
  • 项目类别:
    Continuing Grant
CIF: Small: Collaborative Research:Leveraging Data Popularity in Distributed Storage Systems via Constrained Design Theory
CIF:小型:协作研究:通过约束设计理论利用分布式存储系统中的数据流行度
  • 批准号:
    1816913
  • 财政年份:
    2018
  • 资助金额:
    $ 200万
  • 项目类别:
    Standard Grant
CIF: Small: Coding for DNA-Based Storage Systems
CIF:小型:基于 DNA 的存储系统的编码
  • 批准号:
    1618366
  • 财政年份:
    2016
  • 资助金额:
    $ 200万
  • 项目类别:
    Standard Grant
CIF: Small: Collaborative Research:Synchronization and Deduplication of Distributed Coded Data: Fundamental Limits and Algorithms
CIF:小型:协作研究:分布式编码数据的同步和重复数据删除:基本限制和算法
  • 批准号:
    1526875
  • 财政年份:
    2015
  • 资助金额:
    $ 200万
  • 项目类别:
    Standard Grant
CIF: Small: Collaborative Research: Ordinal Data Compression
CIF:小型:协作研究:有序数据压缩
  • 批准号:
    1527636
  • 财政年份:
    2015
  • 资助金额:
    $ 200万
  • 项目类别:
    Standard Grant
CIF: Small: Collaborative Research: A General Theory of Group Testing for Genotyping
CIF:小型:协作研究:基因分型群体测试的一般理论
  • 批准号:
    1218764
  • 财政年份:
    2012
  • 资助金额:
    $ 200万
  • 项目类别:
    Standard Grant
CIF: Small: Nonlinear Matrix and Tensor Completion with Applications in Systems Biology
CIF:小:非线性矩阵和张量补全及其在系统生物学中的应用
  • 批准号:
    1117980
  • 财政年份:
    2011
  • 资助金额:
    $ 200万
  • 项目类别:
    Standard Grant

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