Biology subjects

Titlow, J.

Publications and source records attributed to Titlow, J..

6 recordsLinked to original sources

bioRxiv2023

Deep super-resolution imaging of thick tissue using structured illumination with adaptive optics

Three-dimensional structured illumination microscopy (3D-SIM) doubles the resolution of fluorescence imaging in all directions and increases the image contrast. However, 3D-SIM has not been widely applied to imaging deep in thick tissues due to its sensitivity to sample-induced aberrations, making the method difficult to apply beyond 10 {micro}m in depth. Furthermore, 3D-SIM has not been available in an upright configuration, limiting its use for live imaging while manipulating the specimen, for example with electrophysiology. Here, we have overcome these barriers by developing a novel upright 3D-SIM system (termed Deep3DSIM) that incorporates adaptive optics for aberration correction and remote focusing, reducing artefacts, improving contrast, restoring resolution, and removing the need to move the specimen or the objective lens in volume imaging. These advantages are equally applicable to inverted 3D-SIM systems. We demonstrate high-quality 3D-SIM imaging in various samples, including an example of imaging 130 {micro}m into Drosophila brain.

cell biology↗

bioRxiv2021

Absolute quantitation of individual SARS-CoV-2 RNA molecules: a new paradigm for infection dynamics and variant differences

Despite an unprecedented global research effort on SARS-CoV-2, early replication events remain poorly understood. Given the clinical importance of emergent viral variants with increased transmission, there is an urgent need to understand the early stages of viral replication and transcription. We used single molecule fluorescence in situ hybridisation (smFISH) to quantify positive sense RNA genomes with 95% detection efficiency, while simultaneously visualising negative sense genomes, sub-genomic RNAs and viral proteins. Our absolute quantification of viral RNAs and replication factories revealed that SARS-CoV-2 genomic RNA is long-lived after entry, suggesting that it avoids degradation by cellular nucleases. Moreover, we observed that SARS-CoV-2 replication is highly variable between cells, with only a small cell population displaying high burden of viral RNA. Unexpectedly, the B.1.1.7 variant, first identified in the UK, exhibits significantly slower replication kinetics than the Victoria strain, suggesting a novel mechanism contributing to its higher transmissibility with important clinical implications. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/450133v2_ufig1.gif" ALT="Figure 1"> View larger version (55K): org.highwire.dtl.DTLVardef@10f7bf1org.highwire.dtl.DTLVardef@192214dorg.highwire.dtl.DTLVardef@c84916org.highwire.dtl.DTLVardef@1366287_HPS_FORMAT_FIGEXP M_FIG C_FIG In briefBy detecting nearly all individual SARS-CoV-2 RNA molecules, we quantified viral replication and defined cell susceptibility to infection. We discovered that a minority of cells show significantly elevated viral RNA levels and observed slower replication kinetics for the Alpha variant relative to the Victoria strain. Highlights O_LISingle molecule quantification of SARS-CoV-2 replication uncovers early infection kinetics C_LIO_LIThere is substantial heterogeneity between cells in rates of SARS-CoV-2 replication C_LIO_LIGenomic RNA is stable and persistent during the initial stages of infection C_LIO_LIB.1.1.7 variant replicates more slowly than the Victoria strain C_LI

microbiology↗

bioRxiv2020

Dendritic localization of mRNA in Drosophila Mushroom Body Output Neurons

Memory-relevant neuronal plasticity is believed to require local translation of new proteins at synapses. Understanding this process requires the visualization of the relevant mRNAs within these neuronal compartments. Here we used single-molecule fluorescence in situ hybridization (smFISH) to localize mRNAs at subcellular resolution in the adult Drosophila brain. mRNAs for subunits of nicotinic acetylcholine receptors and kinases could be detected within the dendrites of co-labelled Mushroom Body Output Neurons (MBONs) and their relative abundance showed cell-specificity. Moreover, aversive olfactory learning produced a transient increase in the level of CaMKII mRNA within the dendritic compartments of the {gamma}5{beta}'2a MBONs. Localization of specific mRNAs in MBONs before and after learning represents a critical step towards deciphering the role of dendritic translation in the neuronal plasticity underlying behavioural change in Drosophila.

neuroscience↗

bioRxiv2020

Microscope-AOtools: A generalised adaptive optics implementation

Microscope-AOtools is a software package which allows for a simple, robust and generalised implementation of adaptive optics (AO) elements. It contains all the necessary methods for set-up, calibration, and aberration correction which are simple to use and function in a robust manner. Aberrations arising from sources such as sample hetero-geneity and refractive index mismatches are constant problems in biological imaging. These aberrations reduce image quality and the achievable depth of imaging, particularly in super-resolution microscopy techniques. AO technology has been proven to be effective in correcting for these aberrations and thereby improving the image quality. However, it has not been widely adopted by the biological imaging community due, in part, to difficulty in set-up and operation of AO, particularly by non-specialist users. Microscope-AOtools offers a robust, easy-to-use implementation of the essential methods for set-up and use of AO techniques. These methods are constructed in a generalised manner that can utilise a range of adaptive optics elements, wavefront sensing techniques and sensorless AO correction methods. Furthermore, the methods are designed to be easily extensible as new techniques arise, leading to a streamlined pipeline for new AO technology and techniques to be adopted by the wider microscopy community.

biophysics↗

bioRxiv2019

Syncrip/hnRNPQ is required for activity-induced Msp300/Nesprin-1 expression and new synapse formation

Memory and learning involve activity-driven expression of proteins and cytoskeletal reorganisation at new synapses, often requiring post-transcriptional regulation a long distance from corresponding nuclei. A key factor expressed early in synapse formation is Msp300/Nesprin-1, which organises actin filaments around the new synapse. How Msp300 expression is regulated during synaptic plasticity is not yet known. Here, we show that the local translation of msp300 is promoted during activity-dependent plasticity by the conserved RNA binding protein Syncrip/hnRNP Q, which binds to msp300 transcripts and is essential for plasticity. Single molecule imaging shows that Syncrip is associated in vivo with msp300 mRNA in ribosome-rich particles. Elevated neural activity alters the dynamics of Syncrip RNP granules at the synapse, suggesting a change in particle composition or binding that facilitates translation. These results introduce Syncrip as an important early-acting activity-dependent translational regulator of a plasticity gene that is strongly associated with human ataxias.\n\nSyncrip regulates synaptic plasticity via msp300Titlow et al. find that Syncrip (hnRNPQ RNA binding protein) acts directly on msp300 to modulate activity-dependent synaptic plasticity. In vivo biophysical experiments reveal activity-dependent changes in RNP complex sizes compatible with an increase in translation at the synapse.

neuroscience↗

bioRxiv2017

Single Molecule Fluorescence In Situ Hybridisation For Quantitating Post-Transcriptional Regulation In Drosophila Brains

RNA in situ hybridization can be a powerful method to investigate post-transcriptional regulation, but analysis of intracellular mRNA distributions in thick, complex tissues like the brain poses significant challenges. Here, we describe the application of single-molecule fluorescent in situ hybridization (smFISH) to quantitate primary transcription and post-transcriptional regulation in whole-mount Drosophila larval and adult brains. Combining immunofluorescence and smFISH probes for different regions of a single gene, i.e., exons, 3UTR, and introns, we show examples of a gene that is regulated post-transcriptionally and one that is regulated at the level of transcription. We also show that the method can be used to co-visualise a variety of different transcripts and proteins in neuronal stems cells as well as deep brain structures such as mushroom body neuropils. Finally, we introduce the use of smFISH as asensitivealternative to conventional antibody labelling to mark specific neural stem cell populations in the brain.

neuroscience↗