A dynamic, ultra-stable, random-access RNA retrieval database
This project aims to develop a regeneratable DNA-based solid-state storage system that allows selective data manipulation and long-term stability using enzymatic reactions and RNA inputs.
Projectdetails
Introduction
In order for DNA to become the information storage medium that serves as an alternative to existing digital storage solution technologies, information must be stored stably in it with the means to repeatedly access and manipulate parts of the stored data.
Current Limitations
Only a few in vitro approaches are capable of addressing some of these requirements, while in vivo approaches still produce largely static data storage libraries, which limits the real-life applicability of these technologies.
Proposed Solution
In this proposal, we present a new, regeneratable solid-state storage system consisting of beads, where information, encoded in single-stranded DNA strands, can be added, selectively accessed, and removed using enzymes and nucleic acid strands as inputs for the different data operations in isothermal reactions with no loss of material.
Strand Architecture
To achieve this, a strand architecture is proposed, where unique Data ID sequences are used on the targeted data strands for performing the intended data operations via enzymatic reactions:
- Addition of data
- Deletion of data
- Transcription-based data access
RNA Variant
Furthermore, a variant of this system is proposed that uses RNA molecules for the selective access of the data strands. We aim to implement this in a bacterial data storage system as well, where RNA encoding bacteriophages will be used as a non-invasive way to introduce inputs for the data operations, such as random data access and removal.
Long-term Stability
Finally, we present the use of damage suppressor proteins from extremotolerant organisms complementing the in vitro and in vivo system to provide the long-term stability of DNA observed in resilient biological systems.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.659.570 |
Totale projectbegroting | € 1.659.570 |
Tijdlijn
Startdatum | 1-10-2023 |
Einddatum | 30-9-2028 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- KAROLINSKA INSTITUTETpenvoerder
Land(en)
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MIcrobe-synthesised DNA NAnostructures for DIsplay-controlled Storage Cartridges
Develop a low-cost, energy-efficient data drive using bacterial cells to efficiently write, edit, store, and retrieve DNA-based data for long-term storage.
Next Generation Molecular Data Storage
This project aims to develop a cost-effective and efficient DNA nanostructure-based data storage system, enhancing longevity and reducing electronic waste compared to traditional media.
Interoperable end-to-end platform of scalable and sustainable high-throughput technologies for DNA-based digital data storage
PEARL-DNA aims to develop a high-throughput, modular DNA-based data storage platform to enhance longevity, efficiency, and integration in sustainable data management solutions.
DNA Microfactory for Autonomous Archiving
DNAMIC aims to develop an autonomous, low-energy DNA microfactory for end-to-end data archiving, ensuring long-term storage compliance and disaster recovery through innovative encoding schemes.
DNA-based Infrastructure for Storage and Computation
The DISCO project aims to engineer a robust DNA-based storage and computing platform, starting with a 10-bit prototype and scaling to hundreds of bits using advanced molecular techniques.
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DNA Encryption of Compartmentalized DNA FilesDNACryp aims to develop a molecular-level encryption method for DNA data storage, enhancing security and efficiency to meet future digital storage demands. | ERC Proof of... | € 150.000 | 2025 | Details |
Molecular Storage System (MoSS): Intelligent DNA Data StorageThe MoSS project aims to develop a cost-effective DNA data storage system using novel enzymatic synthesis techniques to enable scalable, high-throughput writing of DNA. | EIC Transition | € 2.594.615 | 2022 | Details |
DNA-encoded REconfigurable and Active MatterThe project aims to develop DNA-encoded dynamic principles to create adaptive synthetic materials with life-like characteristics and multifunctional capabilities through innovative self-assembly and genetic programming. | ERC Advanced... | € 2.496.750 | 2023 | Details |
The sequencing microscope - a path to look at the molecules of biologyThis project aims to develop a novel technique that uses sequencing data to infer spatial information in tissues, enhancing our understanding of biological systems without advanced microscopy. | ERC Advanced... | € 2.500.000 | 2024 | Details |
Coding for DNA Storage
This project aims to develop advanced coding methods for DNA-based storage systems to enhance data integrity and recovery, potentially revolutionizing archiving technology and impacting related scientific fields.
DNA Encryption of Compartmentalized DNA Files
DNACryp aims to develop a molecular-level encryption method for DNA data storage, enhancing security and efficiency to meet future digital storage demands.
Molecular Storage System (MoSS): Intelligent DNA Data Storage
The MoSS project aims to develop a cost-effective DNA data storage system using novel enzymatic synthesis techniques to enable scalable, high-throughput writing of DNA.
DNA-encoded REconfigurable and Active Matter
The project aims to develop DNA-encoded dynamic principles to create adaptive synthetic materials with life-like characteristics and multifunctional capabilities through innovative self-assembly and genetic programming.
The sequencing microscope - a path to look at the molecules of biology
This project aims to develop a novel technique that uses sequencing data to infer spatial information in tissues, enhancing our understanding of biological systems without advanced microscopy.