Single molecule reconstruction for high-throughput, short-read sequencing technologies
This project develops a fragment labeling system for high-throughput short-read sequencing to enable full molecule reconstruction, enhancing genomic, metagenomic, and transcriptomic analyses.
Projectdetails
Introduction
Current advanced short-read sequencing technologies and third generation long-read sequencing technologies are still not capable of full molecule reconstruction in a high throughput manner due to their limited read length and throughput respectively.
Project Aim
This project aims at bridging the gap between long reads and high throughput by developing a fragment labelling system compatible with high-throughput short-read Illumina sequencing technology.
Labelling System
The labelling system consists of tags that can be incorporated into the target nucleic acid sequences using Tn5-transposase. These tags can be subsequently used to create fragments from the target molecule, allowing the generated fragments to retain information about their original position in the target molecule. This enables the reconstruction of the sequence of the original, individual target molecules from them.
Market Potential
This technology has considerable market potential due to its relatively high ease of market entry. It can be incorporated into existing library preparation techniques for next generation sequencing since many of them readily use Tn5 transposase for fragment generation.
Applications
Additionally, the ability to link the short, high accuracy reads generated by high throughput next generation sequencing technologies can have a large interest in the field of genomics. This technology allows for:
- Complete reconstruction of diploid human genomes by tackling more difficult, highly repetitive genomic segments.
- Assembly of more complete genomes from clinical samples in the field of metagenomics.
- Provision of information about isoform- and allelic-specific expression through the reconstruction of full-length transcripts in the field of transcriptomics.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 150.000 |
Totale projectbegroting | € 150.000 |
Tijdlijn
Startdatum | 1-6-2022 |
Einddatum | 30-11-2023 |
Subsidiejaar | 2022 |
Partners & Locaties
Projectpartners
- KAROLINSKA INSTITUTETpenvoerder
- KAROLINSKA INSTITUTET HOLDING AB
Land(en)
Geen landeninformatie beschikbaar
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Linking genome variation with haplotype-resolved sequencingThe project aims to validate and scale the haplotagging technique for DNA sequencing, enhancing haplotype context while integrating with existing Illumina technology to improve disease detection. | ERC Proof of... | € 150.000 | 2022 | Details |
Computational multiplexing to optimise next-generation sequencingDeveloping MultiSeq, a bioinformatics solution to streamline and reduce costs in NGS library preparation, aiming to democratize sequencing technology and enhance its application across industries. | ERC Proof of... | € 150.000 | 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 |
Reading DNA in real time for medical applicationsThe project aims to develop a high-throughput, real-time DNA analysis method using Laser-Assisted DNA Optical Mapping for liquid biopsies and biomedical applications, enhancing service and automation. | ERC Proof of... | € 150.000 | 2022 | Details |
Simple and cost-effective cancer diagnosis in liquid biopsy through native tRNA sequencingThis project aims to validate a cost-effective Nano-tRNAseq method for quantifying tRNA abundances and modifications as novel cancer biomarkers, facilitating early detection and potential commercialization. | ERC Proof of... | € 150.000 | 2025 | Details |
Linking genome variation with haplotype-resolved sequencing
The project aims to validate and scale the haplotagging technique for DNA sequencing, enhancing haplotype context while integrating with existing Illumina technology to improve disease detection.
Computational multiplexing to optimise next-generation sequencing
Developing MultiSeq, a bioinformatics solution to streamline and reduce costs in NGS library preparation, aiming to democratize sequencing technology and enhance its application across industries.
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.
Reading DNA in real time for medical applications
The project aims to develop a high-throughput, real-time DNA analysis method using Laser-Assisted DNA Optical Mapping for liquid biopsies and biomedical applications, enhancing service and automation.
Simple and cost-effective cancer diagnosis in liquid biopsy through native tRNA sequencing
This project aims to validate a cost-effective Nano-tRNAseq method for quantifying tRNA abundances and modifications as novel cancer biomarkers, facilitating early detection and potential commercialization.
Vergelijkbare projecten uit andere regelingen
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Computation driven development of novel vivo-like-DNA-nanotransducers for biomolecules structure identificationThis project aims to develop DNA-nanotransducers for real-time detection and analysis of conformational changes in biomolecules, enhancing understanding of molecular dynamics and aiding drug discovery. | EIC Pathfinder | € 3.000.418 | 2022 | Details |
Processing-in-memory architectures and programming libraries for bioinformatics algorithmsThis project aims to enhance genomics research by developing energy-efficient, cost-effective edge computing solutions using processing-in-memory technologies for high-throughput sequencing data analysis. | EIC Pathfinder | € 1.966.665 | 2022 | Details |
Next Generation Molecular Data StorageThis 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. | EIC Pathfinder | € 2.418.514 | 2023 | Details |
A dynamic, ultra-stable, random-access RNA retrieval databaseThis 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. | EIC Pathfinder | € 1.659.570 | 2023 | Details |
Interoperable end-to-end platform of scalable and sustainable high-throughput technologies for DNA-based digital data storagePEARL-DNA aims to develop a high-throughput, modular DNA-based data storage platform to enhance longevity, efficiency, and integration in sustainable data management solutions. | EIC Pathfinder | € 3.999.857 | 2023 | Details |
Computation driven development of novel vivo-like-DNA-nanotransducers for biomolecules structure identification
This project aims to develop DNA-nanotransducers for real-time detection and analysis of conformational changes in biomolecules, enhancing understanding of molecular dynamics and aiding drug discovery.
Processing-in-memory architectures and programming libraries for bioinformatics algorithms
This project aims to enhance genomics research by developing energy-efficient, cost-effective edge computing solutions using processing-in-memory technologies for high-throughput sequencing data analysis.
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.
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.
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.