Quantifying single-molecule STORM data to reveal novel insights into DNA structure and dynamics

Institut Curie
France
BiologyPhysics
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Raised of $3,200 Goal
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Ended on 8/14/25
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About This Project

Inside each cell, DNA wraps around histone proteins to form chromatin, which helps regulate gene activity. I study how specific H3 histone variants are arranged in stem cell nuclei. Using super-resolution 3D-STORM microscopy and custom analysis tools, I aim to uncover how these patterns shift with cell state. These insights may reveal how chromatin misregulation contributes to diseases like cancer.

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What is the context of this research?

This project investigates how DNA is organized inside cells at an extremely fine scale, which is crucial for controlling gene activity and maintaining genome stability. Previous research, such as Ricci et al. 2015 and Clément et al. 2018, revealed that DNA-associated proteins called histones form distinct tiny clusters in the nucleus using super-resolution microscopy. More recently, Arfè et al. 2025 showed that these protein clusters have specific patterns in mouse embryonic stem cells. Using 3D-STORM super-resolution microscopy, I develop computational tools to accurately measure and analyze these protein distributions in three dimensions. Understanding this organization, especially in stem cells, will provide new insights into how cells differentiate and how misregulation may lead to disease, potentially informing new therapeutic approaches.

What is the significance of this project?

This project is significant because it reveals chromatin organization at a level of detail that was previously impossible to see. Chromatin’s arrangement controls key processes like gene expression and genome stability, but conventional microscopes lack the resolution to observe structures smaller than about 200 nanometers. Super-resolution techniques like 3D-STORM overcome this limit, allowing us to visualize chromatin and associated proteins at the nanoscale. By combining this imaging with advanced computational analysis, my work uncovers spatial patterns and interactions that drive cellular function and fate. This deeper understanding could lead to breakthroughs in how we study development, disease progression, and target new therapies.

What are the goals of the project?

To address my research question, I combine wet-lab biology and computational analysis. I prepare and stain mouse embryonic stem cell nuclei using antibodies or SNAP tags to label chromatin proteins. Then, I use 3D-STORM super-resolution microscopy, which captures individual molecules’ precise locations, revealing chromatin organization at the nanoscale. After acquiring these detailed images, I apply advanced computational pipelines I developed to process and analyze the data, quantifying how proteins cluster and distribute in three dimensions. By integrating imaging and computational work, I uncover patterns of chromatin structure. I have already begun imaging and analysis and will continue refining my methods throughout the project to deepen understanding of chromatin’s role in cell function.

Budget

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My research integrates biology, quantitative imaging, and computational analysis. While I have access to microscopes, lab equipment, and a desktop system, I lack institutional support for high-performance portable hardware. As the sole image analysis specialist in a biology-focused team, I often spend full weeks at the STORM microscope, with 30–45 min per acquisition. Without a capable device, this time goes under-utilised. A MacBook Pro would enable processing and analysis during acquisition and support remote work and collaboration. It also fits our lab’s Mac-based environment. My workflows use MATLAB-based algorithms to cluster chromatin protein localisation data (~100,000 points per channel, two channels), requiring sustained, high-performance computing. This work supports the EU-funded RT‑SuperES project and is essential for maintaining productivity during imaging-heavy periods. As a postdoc, I lack the resources to fund this personally, despite its clear impact on my research.

Endorsed by

I strongly endorse Dominic Bingham’s project. As his lab mate at Institut Curie, I’ve seen his deep commitment to uncovering 3D chromatin structure through advanced imaging and analysis. He’s the only image analysis expert in our team and urgently needs high-performance hardware to work efficiently during long STORM acquisitions. Dominic’s work is crucial to the EU-funded RT‑SuperES project, and with the right support, he’ll make a real impact in the field.

Project Timeline

Employed until July 2027, I will investigate chromatin and histone distributions at specific landmarks using super-resolution imaging. I plan publication submissions by late-2026 and mid-2027. Within RT-SuperES, I will develop live-cell super-resolution imaging methods and analysis pipelines by mid-2027. Additionally, I will integrate and validate my pipelines on endogenously Halo-tagged proteins in mESCs from a collaborators clone library to deliver robust, collaborative results.

Jul 15, 2025

Project Launched

Dec 31, 2026

Publication Submission 1

Jun 30, 2027

Pipeline for SNAP-STORM Imaging for Selected Chromatin-Bound Proteins from Collaborators Clone Library

Jun 30, 2027

Development of Live-Cell Super-Resolution Imaging Methodsology and Analysis

Jun 30, 2027

Publication Submission 2

Meet the Team

Dominic Bingham
Dominic Bingham
Postdoctoral Researcher

Affiliates

Institut Curie
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Dominic Bingham

I am a British postdoctoral researcher at Institut Curie in Paris, working in the Chromatin Dynamics Team under Dr Geneviève Almouzni and Dr Jean-Pierre Quivy. My research focuses on applying super-resolution microscopy and quantitative single-molecule image analysis to understand the spatial organisation of chromatin-bound proteins in embryonic stem cells, with a specific focus on H3 histone variants. I am the only member of my team responsible for super-resolution imaging and developing and running advanced image analysis workflows.

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