Biology subjects

Joo, C.

Publications and source records attributed to Joo, C..

At least 19 recordsLinked to original sources

bioRxiv2026

Multiplexed sequence-resolved screening of transient DNA hybridization for programmable nanotechnology

DNA-based technologies rely on short, transient hybridization events, but selecting sequences with desired kinetic properties remains largely empirical because hybridization kinetics are difficult to predict from sequence and slow to measure one sequence at a time. Here, we introduce SPARXS-Hyb, an implementation of SPARXS (Single-molecule Parallel Analysis for Rapid eXploration of Sequence space) for multiplexed sequence-resolved screening of DNA hybridization. Using a surface-immobilized docking-strand library and a quencher-labelled imager-strand library, we screened 128 different DNA sequences in a single kinetic measurement, exposing all sequences to identical experimental conditions. This multiplexed approach removes a major confounding factor of serial measurements, allowing sequence-dependent differences to be compared directly. The resulting dataset reveals sequence-dependent transient binding behaviours and enabled us to identify a sequence with which an order-of-magnitude higher sampling rate can be achieved in DNA-PAINT (DNA points accumulation for imaging in nanoscale topography), a super-resolution microscopy technique based on DNA hybridization. By enabling multiplexed screening across a sequence library, SPARXS-Hyb provides a route to kinetics-guided sequence selection for programmable transient interactions in DNA nanotechnology.

biophysics↗

bioRxiv2025

Chromatix: a differentiable, GPU-accelerated wave-optics library

Modern microscopy methods incorporate computational modeling as an integral part of the imaging process, either to solve inverse problems or optimize the optical system design itself. These methods often depend on differentiable optics simulations, yet no standardized framework exists--forcing computational optics researchers to repeatedly and independently implement simulations with limited reusability and performance. These common problems limit the potential impact of computational optics as a field. Here we present Chromatix: an open-source, GPU-accelerated, differentiable wave optics simulation library. Chromatix builds on JAX to democratize fast, parallelized simulation of diverse optical systems and expand the design space in computational optics. Chromatix standardizes a growing collection of optical elements and propagation methods allowing a broad range of applications, which we demonstrate here for snapshot microscopy, holography, and phase retrieval. We demonstrate speed improvements of 2-6x on a single GPU and up to 22x on 8 GPUs.

bioinformatics↗

bioRxiv2024

Cell-Surface RNA Associates with Heparan Sulfate and RNA-Binding Proteins to Modulate Receptor-Ligand Interactions

Recent discoveries have shown the presence of RNA molecules on the cell surface, defying the traditional view that RNA only functions intracellularly. However, it is not well understood how cell-surface RNA (csRNA) is stably present on the plasma membrane and what functions it performs. We answer the pressing questions in the emerging field by taking integrated omic-wide approaches and multiple orthogonal validatory methods. Firstly, we exploited the RNA-sensing ability of TLR7 as a specific recombinant probe to detect csRNA. Coupling it with a genome-wide CRISPR-Cas9-knockout screening, we identified heparan sulfate (HS) as a crucial factor for RNA presentation on cells. Using the TLR7 probe, cell surface proximity labelling revealed that these HS-associated csRNAs (hepRNAs) are in vicinity with a plethora of RNA-binding proteins. The compelling observation led us to a molecular model where HS, RNA and RBP form ternary complexes at cell surface. A photochemical RNA-protein crosslinking technology termed SCOOPS were then established to validate the termolecular model in a TLR7-orthogonal manner. Moreover, enabled by SCOOPS, we unveiled identities of hepRNA using next-generation sequencing, and identified traits in RNA primary structures that facilitate HS association. We further show that hepRNA binds to killer cell immunoglobulin-like receptor 2DL5 (KIR2DL5), recruiting the protein to cell surface and potentially enhancing receptor-ligand interactions. Our findings provide a foundation for exploring how cell-surface ribonucleoproteins contribute to immune modulation.

molecular biology↗

bioRxiv2024

Point set registration for combining fluorescence microscopy methods

SUMMARYImplementation of combined microscopy methods provides valuable information across various scientific applications. However, aligning the datasets and finding the correct point correspondence poses a challenge, especially for large, randomly distributed point sets that are subject to positional errors and missing points. Here, we provide a three-step procedure to perform point set registration, which can be applied to datasets with millions of points and stays robust even when only 10% of the points correspond. In the first global step, the scaling and rotation parameters for the imaging systems are determined once on a smaller calibration dataset using a geometric hashing algorithm. When the global transformation is known, full experimental datasets can be registered by performing step two: a course registration using cross-correlation, and step three: a precise registration to fine-tune the transformation. After these three steps, point correspondence is determined by setting a distance threshold based on a statistical model of random point sets that additionally provides the matching error. We have demonstrated its successful implementation in coupling fluorescence and sequencing methodologies. To enable wide application of these point set registration and correspondence algorithms we provide a python library called MatchPoint.

biophysics↗

bioRxiv2024

N-glycosylated molecules act as a co-precipitant in RNA purification

A recent ground-breaking study suggested that small RNA from mammalian cells can undergo N-glycan modifications (termed glycoRNA) 1. The discovery relied upon a metabolic glycan labeling strategy in combination with commonly used phase-separation-based RNA isolation. Following the reported procedure, we likewise identified an N-glycosylated species in the RNA fraction. However, our results suggest that the reported RNase sensitivity of the glycosylated species depends on the specific RNA purification method. This suggests the possibility of co-purifying unexpected RNase-insensitive N-glycoconjugates during glycoRNA isolation. The co-existence of two independent, yet highly similar molecular entities, complicates biochemical assays on glycoRNA, and calls for more specific approaches for glycoRNA analysis. To address this, we propose a control experiment that can help distinguish genuine glycoRNA species from co-purified glycoconjugates.

molecular biology↗

bioRxiv2023

RNA-guided RNA silencing by an Asgard archaeal Argonaute

Eukaryotic Argonaute proteins achieve gene repression and defense against viruses and transposons by RNA-guided RNA silencing. By contrast, known prokaryotic Argonautes adopt single-stranded DNA as guides and/or targets, leaving the evolutionary origin of RNA-guided RNA silencing elusive. Here, we show an evolutionary expansion of Asgard archaeal Argonautes (asAgos), including the discovery of HrAgo1 from the Lokiarchaeon Candidatus Harpocratesius repetitus that shares a common origin with eukaryotic PIWI proteins. HrAgo1 exhibits RNA-guided RNA cleavage in vitro and RNA silencing in human cells. The cryo-EM structure of HrAgo1 combined with quantitative single-molecule experiments reveals that HrAgo1 possesses hybrid structural features and target binding modes bridging those of the eukaryotic AGO and PIWI clades. Finally, genomic evidence suggests that eukaryotic Dicer-like processing of double-stranded RNA likely emerged as a mechanism of generating guide RNA for asAgos prior to eukaryogenesis. Our study provides new insights into the evolutionary origin and plasticity of Argonaute-based RNA silencing.

microbiology↗

bioRxiv2023

Diffusion of DNA on Atomically Flat 2D Material Surfaces

Accurate localization of biomolecules is pivotal for understanding biological processes. Utilizing the atomically flat surface of 2D materials offers a promising route to achieve this without the need for tethering or constraining. Here we comprehensively investigate the binding and diffusion of DNA on hexagonal boron nitride (hBN) surfaces. Our findings reveal non-specific binding of DNA to pristine hBN, with subsequent diffusion and confinement within the 2D plane. Through single-molecule experiments and computational techniques, we explore DNA dynamics, and the effects of defects, step edges and domain boundaries on the motion, which gives insights on the interactions between solid-state surfaces and biomolecules. By engineering a narrow hBN ribbon structure, we enhance confinement, demonstrating its potential in nanofluidic guiding of biomolecules. Our 2D platform serves as a proving ground for next generation high-throughput single-molecule manipulation techniques for enabling applications in biotechnology and nanotechnology.

molecular biology↗

bioRxiv2023

iMAX FRET (Information Maximized FRET) for multipoint single-molecule structural analysis

Understanding the structure of biomolecules is vital for deciphering their characteristics and roles in biological systems. While current structural analysis techniques like nuclear magnetic resonance and X-ray crystallography excel in many aspects, they fall short in capturing comprehensive single-molecule information. To address this limitation and to better capture the heterogeneity and dynamic range of biomolecular reactions, there is a need for single-molecule structural analysis tools. To achieve this, we introduce iMAX FRET, a one-pot FRET-based single-molecule method integrated with geometrical 3D reconstruction, offering comprehensive ab initio structural analysis. Through the stochastic exchange of fluorescent weak binders, iMAX FRET allows simultaneous assessment of multiple spatial coordinates on a biomolecule within a few minutes of time to generate distinct FRET fingerprints for 3D structural profiling. We demonstrate a mathematical approach for de novo structural prediction using iMAX data, opening avenues for native biomolecule analysis. Furthermore, this method facilitates the investigation of conformational changes in individual molecules, illuminating single-molecule structural dynamics. Our technique has the potential to emerge as a powerful approach to advance our understanding of biomolecular structures.

biophysics↗

bioRxiv2023

Full-Length Single-Molecule Protein Fingerprinting

Proteins are the primary functional actors of the cell. Hence, their identification is pivotal to advance our understanding of cell biology and disease. Current protein analysis methods are of limited use for distinguishing proteoforms. In particular, mass spectrometric methods often provide only ambiguous information on post-translational modification sites, and sequences of co-existing modifications may not be resolved. Here we demonstrate FRET-based single-molecule protein fingerprinting to map the location of individual amino acids and a post-translational modification within single full-length protein molecules. Using an approach that relies on transient binding of fluorescently labeled DNA strands to probe the amino acids on a protein one by one we show that we can fingerprint intrinsically disordered proteins as well as folded globular proteins with sub-nanometer resolution. We anticipate that this technology will be used for proteoform identification in biological and translational research with ultimate sensitivity.

biophysics↗

bioRxiv2021

Evaluation of FRET X for Single-Molecule Protein Fingerprinting

Single-molecule protein identification is a novel, as of yet unrealized concept with potentially groundbreaking applications in biological research. We propose a method called FRET X (Forster Resonance Energy Transfer via DNA eXchange) fingerprinting, in which the FRET efficiency is read out between exchangeable dyes on protein-bound DNA docking strands, and accumulated FRET efficiency values constitute the fingerprint for a protein. To evaluate the feasibility of this approach, we simulated fingerprints for hundreds of proteins using a coarse-grained lattice model and experimentally demonstrated FRET X fingerprinting on a system of model peptides. Measured fingerprints are in agreement with our simulations, corroborating the validity of our modeling approach. In a simulated complex mixture of >300 human proteins of which only cysteines, lysines and arginines were labeled, a support vector machine was able to identify constituents with 95% accuracy. We anticipate that our FRET X fingerprinting approach will form the basis of an analysis tool for targeted proteomics.

biophysics↗

bioRxiv2021

Drift correction in localization microscopy using entropy minimization

Localization microscopy offers resolutions down to a single nanometer, but currently requires additional dedicated hardware or fiducial markers to reduce resolution loss from drift of the sample. Drift estimation without fiducial markers is typically implemented using redundant cross correlation (RCC). We show that RCC has sub-optimal precision and bias, which leaves room for improvement. Here, we minimize a bound on the entropy of the obtained localizations to efficiently compute a precise drift estimate. Within practical compute-time constraints, simulations show a 5x improvement in drift estimation precision over the widely used RCC algorithm. The algorithm operates directly on fluorophore localizations and is tested on simulated and experimental datasets in 2D and 3D. An open source implementation is provided, implemented in Python and C++, and can utilize a GPU if available.

biophysics↗

bioRxiv2020

High-Resolution Single-Molecule FRET via DNA eXchange (FRET X)

Single-molecule FRET is a versatile tool to study nucleic acids and proteins at the nanometer scale. However, currently, only a couple of FRET pairs can be reliably measured on a single object. The limited number of available FRET pair fluorophores and complicated data analysis makes it challenging to apply single-molecule FRET for structural analysis of biomolecules. Currently, only a couple of FRET pairs can be reliably measured on a single object. Here we present an approach that allows for the determination of multiple distances between FRET pairs in a single object. We use programmable, transient binding between short DNA strands to resolve the FRET efficiency of multiple fluorophore pairs. By allowing only a single FRET pair to be formed at a time, we can determine the FRET efficiency and pair distance with sub-nanometer resolution. We determine the distance between other pairs by sequentially exchanging DNA strands. We name this multiplexing approach FRET X for FRET via DNA eXchange. We envision that our FRET X technology will be a tool for the high-resolution structural analysis of biomolecules and other nano-structures.

biophysics↗

bioRxiv2020

Targeting G-quadruplex Forming Sequences with Cas9

Clustered Regularly Interspaced Palindromic Repeats (CRISPR) and CRISPR-associated (Cas) proteins, particularly Cas9, have provided unprecedented control on targeting and editing specific DNA sequences. If the target sequences are prone to folding into non-canonical secondary structures, such as G-quadruplex (GQ), the conformational states and activity of CRISPR-Cas9 complex would be influenced, but the impact has not been assessed. Using single molecule FRET, we investigated structural characteristics of the complex formed by CRISPR-Cas9 and target DNA, which contains a potentially GQ forming sequence (PQS) in either the target or the non-target strand (TS or NTS). We observed different conformational states and dynamics depending on the stability of the GQ and the position of PQS. When PQS was in NTS, we observed evidence for GQ formation for both weak and stable GQs. This is consistent with R-loop formation between TS and crRNA releasing NTS from Watson-Crick pairing and facilitating secondary structure formation in it. When PQS was in TS, R-loop formation was adequate to maintain a weak GQ in the unfolded state but not a GQ with moderate or high stability. The observed structural heterogeneity within the target dsDNA and the R-loop strongly depended on whether the PQS was in TS or NTS. We propose these variations in the complex structures to have functional implications for Cas9 activity.

biophysics↗

bioRxiv2020

FRETboard: semi-supervised classification of FRET traces

AO_SCPLOWBSTRACTC_SCPLOWForster resonance energy transfer (FRET) is a useful phenomenon in biomolecular investigations, as it can be leveraged for nano-scale measurements. The optical signals produced by such experiments can be analyzed by fitting a statistical model. Several software tools exist to fit such models in an unsupervised manner, but their operating system-dependent installation requirements and lack of flexibility impede wide-spread adoption. Here we propose to fit such models more efficiently and intuitively by adopting a semi-supervised approach, in which the user interactively guides the model to fit a given dataset, and introduce FRETboard, a web tool that allows users to provide such guidance. We show that our approach is able to closely reproduce ground truth FRET statistics in a wide range of simulated single-molecule scenarios, and correctly estimate parameters for up to eleven states. On in vitro data we retrieve parameters identical to those obtained by laborious manual classification in a fraction of the required time. Moreover, we designed FRETboard to be easily extendable to other models, allowing it to adapt to future developments in FRET measurement and analysis. Availabilitysource code is available at https://github.com/cvdelannoy/FRETboard. The FRETboard classification tool is also available as a browser application at https://www.bioinformatics.nl/FRETboard.

biophysics↗

bioRxiv2020

Skipping and sliding to optimize target search on protein-bound DNA and RNA

Rapidly finding a specific nucleic-acid sequences in a large pool of competing off-targets is a fundamental challenge overcome by all living systems. To optimize the search and beat the diffusion limit, it is known that searchers should spend time sliding along the nucleic-acid substrate. Still, such sliding generally has to contend with high levels of molecular crowding on the substrate, and it remains unclear what effect this has on optimal search strategies. Using mechanistic modelling informed by single-molecule data, we show how sliding combined with correlated short-ranged skips allow searchers to maintain search speed on densely crowded substrates. We determine the conditions of optimal search, which show that an optimized searchers always spend more than half its time skipping and sliding along the substrate. Applying our theory to single-molecule data, we determine that both human and bacterial Argonaute proteins alternate between sliding 10 nt and skipping 30 nt along the substrate. We show that this combination of skipping and sliding lengths allows the searcher to maintain search speeds largely unaffected by molecular roadblocks covering up to 70% of the substrate. Our novel combination of experimental and theoretical approach could also help elucidate how other systems ensure rapid search in crowded environments.

biophysics↗

bioRxiv2020

High-Speed Super-Resolution Imaging Using Protein-Assisted DNA-PAINT

Super-resolution imaging allows for visualization of cellular structures on a nanoscale level. DNA-PAINT (DNA Point Accumulation In Nanoscale Topology) is a super-resolution method that depends on the binding and unbinding of DNA imager strands. The current DNA-PAINT technique suffers from slow acquisition due to the low binding rate of the imager strands. Here we report on a method where imager strands are loaded into a protein, Argonaute (Ago), that allows for faster binding. Ago pre-orders the DNA imager strand into a helical conformation, allowing for 10 times faster target binding. Using a 2D DNA origami structure, we demonstrate that Ago-assisted DNA-PAINT (Ago-PAINT) can speed up the current DNA-PAINT technique by an order of magnitude while maintaining the high spatial resolution. We envision this tool to be useful not only for super-resolution imaging, but also for other techniques that rely on nucleic-acid interactions.

biophysics↗

bioRxiv2019

mRNA structural dynamics shape Argonaute-target interactions

Small RNAs (such as miRNAs, siRNAs and piRNAs) regulate protein expression in a wide variety of biological processes and play an important role in cellular function, development and disease. Association of small RNAs with Argonaute (AGO) family proteins guide AGO to target RNAs, generally resulting in target silencing through transcriptional silencing, translational repression or mRNA degradation. Here we develop a live-cell single-molecule imaging assay to simultaneously visualize translation of individual mRNA molecules and their silencing by human AGO2-siRNA complexes. We find that siRNA target sites are commonly masked in vivo by RNA secondary structures, which inhibit AGO2-target interactions. Translating ribosomes unmask AGO2 binding sites, stimulating AGO2-target interactions and promoting mRNA degradation. Using a combination of mathematical modeling and experiments, we find that mRNA structures are highly heterogeneous and continuously refolding. We show that structural dynamics of mRNAs shape AGO2-target recognition, which may be a common feature controlling mRNA-protein interactions.

molecular biology↗

bioRxiv2019

Selective Prespacer Processing Ensures Precise CRISPR-Cas Adaptation

CRISPR-Cas immunity protects prokaryotes against foreign genetic elements. CRISPR-Cas uses the highly conserved Cas1-Cas2 complex to establish inheritable memory (spacers). It remains elusive how Cas1-Cas2 acquires spacers from cellular DNA fragments (prespacers) and how it integrates them into the CRISPR array in the correct orientation. By using the high spatiotemporal resolution of single-molecule fluorescence, we reveal that Cas1-Cas2 obtains prespacers in various forms including single-stranded DNA and partial duplexes by selecting them in the DNA-length and PAM-dependent manner. Furthermore, we identify DnaQ exonucleases as enzymes that can mature the Cas1-Cas2-loaded precursor prespacers into an integration-competent size. Cas1-Cas2 protects the PAM sequence from maturation, which results in the production of asymmetrically trimmed prespacers and subsequent spacer integration in the correct orientation. This kinetic coordination in prespacer selection and PAM trimming provides comprehensive understanding of the mechanisms that underlie the integration of functional spacers in the CRISPR array.

biophysics↗