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.
Projectdetails
Introduction
The goal of biological research is to understand how life works. Although progress is fast, there seems to be an infinity of things we do not understand. When it comes to understanding tissue from the bottom up, our knowledge leaves much to be desired. Feynman claimed that “It is very easy to answer many of these fundamental biological questions; you just look at the thing!” Well, the problem is that looking at the thing is the problem.
Limitations of Microscopy
Microscopy might never give us the possibility to directly see DNA or RNA sequences. For this, the community has evolved extraordinarily powerful sequencers. Today, one man can routinely read millions of sequences on a weekly basis. Likely soon, we will read billions of sequences daily in small labs. However, this, in itself, will not allow us to just look at the thing.
Proposal Overview
We argue in this proposal that by using the sequencer itself as a microscope, we will get much closer to actually seeing what is going on in biological systems. Researchers have started in this direction by coupling microscopy and sequencing data from the same sample, but that is a temporary solution.
Proposed Technology
Here, we propose a technology for inferring images using sequencing data alone, bypassing the need for advanced microscopy and leveraging the potential of the exponential growth of sequencing technology.
Methodology
- We use DNA seeds and perform a reaction in-situ that allows these seeds to copy themselves locally.
- This is analogous to phylogenetic reconstruction, but instead of inferring ancestry, we infer relations of amplicons to spatial locations in tissue.
- By using a unique approach, we derive spatial information connected to RNA transcript information directly in-situ, allowing for a non-targeted spatial transcriptomics technique that is as simple as running a PCR.
Conclusion
When successful, this approach will then enable us, and others, to learn the inner secrets of biological systems at a significantly faster rate.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 2.500.000 |
Totale projectbegroting | € 2.500.000 |
Tijdlijn
Startdatum | 1-1-2024 |
Einddatum | 31-12-2028 |
Subsidiejaar | 2024 |
Partners & Locaties
Projectpartners
- KAROLINSKA INSTITUTETpenvoerder
Land(en)
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