Biology subjects

Syeda, A.

Publications and source records attributed to Syeda, A..

8 recordsLinked to original sources

bioRxiv2026

DNA gyrase in live bacteria forms liquid condensates through weak multivalent bonding of excess GyrB

Type IIA bacterial topoisomerase DNA gyrase, a GyrA/GyrB heterotetramer, has crucial roles maintaining transcription and DNA replication by relaxing positive DNA supercoils through introducing negative supercoils. However, rates of gyrase-catalysed supercoiling in vitro cannot explain much higher rates required in vivo. To address this puzzle, we used high-speed single-molecule fluorescence imaging of GyrA/GyrB reporters in live Escherichia coli, indicating that cells contain [~]40% more GyrB than GyrA expressed in a diffuse pool or in clusters whose mobility depends on whether they are bound to DNA. Unexpectedly, we discovered that clusters are non-stoichiometric containing [~]150% more GyrB than GyrA, significantly greater than the cellular average, with fluorescence recovery after photobleaching revealing that clustered GyrA and GyrB behave as a liquid whose abundance can be increased by applying gyrase-targeting antibiotics. Structural docking indicates that the liquid state is stabilised through excess GyrB progressively binding to existing clusters via weak, multivalent interactions. By operating in liquid condensates, A2B2 that dissociates from DNA can rebind rapidly instead of diffusing away, increasing enzyme processivity to enable multiple rounds of catalysis that can keep pace with transcription and DNA replication in vivo. This demonstrates a new role for condensates of overcoming kinetic limitations imposed by diffusion. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=158 SRC="FIGDIR/small/744598v1_ufig1.gif" ALT="Figure 1"> View larger version (53K): org.highwire.dtl.DTLVardef@1514d4aorg.highwire.dtl.DTLVardef@a95ceeorg.highwire.dtl.DTLVardef@11417daorg.highwire.dtl.DTLVardef@2a2856_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

bioRxiv2026

Orofacial behaviors, not eye movements, govern neural activity in mouse visual cortex

Neural activity in mouse primary visual cortex (V1) correlates strongly with orofacial movements. Such strong modulation has not been found in the primate visual cortex during eye fixation [1], which led to the suggestion that the modulation may primarily depend on eye movements in both species [2]. Here we examined the influence of eye movements on neural activity in mouse visual cortex both in complete darkness and in the presence of different types of visual input. In all cases, we found that eye movements explain a smaller fraction of neural activity variance compared to orofacial behaviors. Additionally, we found that eye movements were correlated to orofacial movements, such as whisking and sniffing, and thus may be indirectly correlated to neural activity. These results further emphasize the impact of movement signals on mouse visual cortex during free viewing behavior.

neuroscience↗

bioRxiv2025

MassVision: An Open-Source End-to-End Platform for AI-Driven Mass Spectrometry Image Analysis

Mass spectrometry imaging (MSI) combines spatial and spectral data to reveal detailed molecular compositions within biological samples. Despite their immense potential, MSI workflows are hindered by the complexity and high dimensionality of the data, making their analysis computationally intensive and often requiring expertise in coding. Existing tools frequently lack the integration needed for seamless, scalable, and end-to-end workflows, forcing researchers to rely on local solutions or multiple platforms, hindering efficiency and accessibility. We introduce MassVision, a comprehensive soft-ware platform for MSI analysis. Built on the 3D Slicer ecosystem, MassVision integrates MSI-specific functionalities while addressing general user requirements for accessibility and usability. Its intuitive interface lowers barriers for researchers with varying levels of computational expertise, while its scalability supports high-throughput studies and multi-slide datasets. Key functionalities include visualization, co-localization, dataset curation, dataset merging, spectral and spatial preprocessing, AI model training, and AI deployment on full MSI data. We detail the workflow and functionalities of MassVision and demonstrate its effectiveness through different experimental use cases such as exploratory data analysis, ion identification, and tissue-type classification, on in-house and publicly available data from different MSI modalities. These use cases underscore the MassVisions ability to seamlessly integrate MSI data handling steps into a single platform, and highlight its potential to reveal new insights and structures when examining biological samples. By combining cutting-edge functionality with user-centric design, MassVision addresses longstanding challenges in MSI data analysis and provides a robust tool for advancing the users ability to achieve biologically-meaningful insights from MSI data.

bioinformatics↗

bioRxiv2023

Rastermap: a discovery method for neural population recordings

Neurophysiology has long progressed through exploratory experiments and chance discoveries. Anecdotes abound of researchers setting up experiments while listening to spikes in real time and observing a pattern of consistent firing when certain stimuli or behaviors happened. With the advent of large-scale recordings, such close observation of data has become harder because high-dimensional spaces are impenetrable to our pattern-finding intuitions. To help ourselves find patterns in neural data, our lab has been openly developing a visualization framework known as "Rastermap" over the past five years. Rastermap takes advantage of a new global optimization algorithm for sorting neural responses along a one-dimensional manifold. Displayed as a raster plot, the sorted neurons show a variety of activity patterns, which can be more easily identified and interpreted. We first benchmark Rastermap on realistic simulations with multiplexed cognitive variables. Then we demonstrate it on recordings of tens of thousands of neurons from mouse visual and sensorimotor cortex during spontaneous, stimulus-evoked and task-evoked epochs, as well as on whole-brain zebrafish recordings, widefield calcium imaging data, population recordings from rat hippocampus and artificial neural networks. Finally, we illustrate high-dimensional scenarios where Rastermap and similar algorithms cannot be used effectively.

neuroscience↗

bioRxiv2022

Facemap: a framework for modeling neural activity based on orofacial tracking

Recent studies in mice have shown that orofacial behaviors drive a large fraction of neural activity across the brain. To understand the nature and function of these signals, we need better computational models to characterize the behaviors and relate them to neural activity. Here we developed Facemap, a framework consisting of a keypoint tracking algorithm and a deep neural network encoder for predicting neural activity. We used the Facemap keypoints as input for the deep neural network to predict the activity of [~]50,000 simultaneously-recorded neurons and in visual cortex we doubled the amount of explained variance compared to previous methods. Our keypoint tracking algorithm was more accurate than existing pose estimation tools, while the inference speed was several times faster, making it a powerful tool for closed-loop behavioral experiments. The Facemap tracker was easy to adapt to data from new labs, requiring as few as 10 annotated frames for near-optimal performance. We used Facemap to find that the neuronal activity clusters which were highly driven by behaviors were more spatially spread-out across cortex. We also found that the deep keypoint features inferred by the model had time-asymmetrical state dynamics that were not apparent in the raw keypoint data. In summary, Facemap provides a stepping stone towards understanding the function of the brainwide neural signals and their relation to behavior.

neuroscience↗

bioRxiv2021

RecA and RecB: probing complexes of DNA repair proteins with mitomycin C in live Escherichia coli with single-molecule sensitivity

The RecA protein and RecBCD complex are key bacterial components for the maintenance and repair of DNA. RecBCD is a helicase-nuclease that uses homologous recombination to resolve double-stranded DNA breaks. It also facilitates coating of single-stranded DNA with RecA to form RecA filaments, a vital step in the double-stranded break DNA repair pathway. However, questions remain about the mechanistic roles of RecA and RecBCD in live cells. Here, we use millisecond super-resolved fluorescence microscopy to pinpoint the spatial localization of fluorescent reporters of RecA or RecB at physiological levels of expression in individual live Escherichia coli cells. By introducing the DNA crosslinker mitomycin C, we induce DNA damage and quantify the resulting steady state changes in stoichiometry, cellular protein copy number and molecular mobilities of RecA and RecB. We find that both proteins accumulate in molecular hotspots to effect repair, resulting in RecA stoichiometries equivalent to several hundred molecules that assemble largely in dimeric subunits before DNA damage, but form periodic subunits of approximately 3-4 molecules within mature filaments of several thousand molecules. Unexpectedly, we find that the physiologically predominant forms of RecB are not only rapidly diffusing monomers, but slowly diffusing dimers.

biophysics↗

bioRxiv2021

Tetrameric UvrD helicase is located at the E. coli replisome due to frequent replication blocks

DNA replication in all organisms must overcome nucleoprotein blocks to complete genome duplication. Accessory replicative helicases in Escherichia coli, Rep and UvrD, help remove these blocks and aid the re-initiation of replication. Mechanistic details of Rep function have emerged from recent live cell studies; however, the division of UvrD functions between its activities in DNA repair and role as an accessory helicase remain unclear in live cells. By integrating super-resolved single-molecule fluorescence microscopy with biochemical analysis, we find that UvrD self-associates into tetrameric assemblies and, unlike Rep, is not recruited to a specific replisome protein despite being found at approximately 80% of replication forks. Instead, its colocation with forks is likely due to the very high frequency of replication blocks composed of DNA-bound proteins, including RNA polymerase and factors involved in repairing DNA damage. Deleting rep and DNA repair factor genes mutS and uvrA, and inhibiting transcription through RNA polymerase mutation and antibiotic inhibition, indicates that the level of UvrD at the fork is dependent on UvrDs function. Our findings show that UvrD is recruited to sites of nucleoprotein blocks via different mechanisms to Rep and plays a multi-faceted role in ensuring successful DNA replication.

biophysics↗

bioRxiv2018

Single-molecule live cell imaging of Rep reveals the dynamic interplay between an accessory replicative helicase and the replisome

DNA replication requires strategies to cope with nucleoprotein barriers that impair the efficient translocation of the replisome. Biochemical and genetic studies indicate accessory helicases play essential roles in continuity of replication in the presence of nucleoprotein barriers, but how they operate in the native cellular environment is unclear. With high-speed single-molecule microscopy we determine the dynamic patterns of localization of genomically-encoded fluorescent protein constructs of the bacterial accessory helicase Rep and core replisome protein DnaQ in live E. coli cells. We demonstrate that Rep colocalizes with 70% of replication forks. Colocalisation is dependent upon interaction with replicative helicase DnaB, with an underlying hexameric stoichiometry of Rep indicating maximal occupancy of the single DnaB hexamer within the replisome. We find that Rep associates dynamically with the replisome with an average dwell time of 6.5 ms dependent on ATP hydrolysis, indicating rapid binding then translocation away from the fork. We also imaged the PriC replication restart factor given the known Rep-PriC functional interaction and observe Rep-replisome association is also dependent on the presence of PriC. Our findings suggest two Rep-replisome populations in vivo: one involving Rep continually associating with DnaB then translocating away to aid nucleoprotein barrier removal ahead of the fork, another assisting PriC-dependent reloading of DnaB if replisome progression fails. These new findings reveal how a single type of helicase is recruited to the replisome to provide two independent ways of underpinning replication of protein-bound DNA, a problem that all organisms face as they replicate their genomes.\n\nSignificance statementAll organisms face the challenge of proteins bound to DNA acting as barriers to prevent DNA replication. We have performed fluorescence imaging experiments on living bacteria to track the positions of the replication machinery, a protein called Rep which is involved in removing these barriers, and a protein called PriC believed to be involved with reloading the replication machinery if the original replication machinery breaks down. We find that Rep is very dynamic with continual binding and movement away from the replication machinery. Association with the replication machinery depends on both binding to the replication machinery directly and on PriC. Thus Rep can circumvent barriers in two independent ways: a strategy which may be relevant to all organisms.

biophysics↗