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Vuong, C.

Publications and source records attributed to Vuong, C..

8 recordsLinked to original sources

Self-renewal of neuronal mitochondria through asymmetric division

Mitochondrial ATP production is essential for life. Mitochondrial function depends on the spatio-temporal coordination of nuclear and mitochondrial genome expression, yet how this coordination occurs in highly polarized cells such as neurons remains poorly understood. Using high-resolution imaging in mouse peripheral sensory neurons and zebrafish larvae, we identified a sub-population of mitochondria enriched in mtDNA that are positioned at the collateral branch points of long sensory neurites, both in vitro and in vivo. While the mitochondria in neurites are generally depleted of mtDNA, those at axon branch points preferentially engage in mtDNA replication and transcription, accumulate nuclear-encoded mitochondrial mRNA, and are spatially linked to nascent cytosolic peptide synthesis. The mtDNA-positive mitochondrial pool exhibits asymmetric genome partitioning at division, shedding highly motile daughters that lack mtDNA. Asymmetric division rejuvenates the membrane potential of the mtDNA-rich, biogenesis-dedicated mitochondria. We also found that, in peripheral sensory neurons, axonal mitochondria rarely fuse or share matrix contents, explaining how differentiated daughters maintain their distinct composition and fate after fission. Thus, division-coupled mitochondrial self-renewal is yoked to neurite topology in sensory neurons, patterning mitochondrial diversity and homeostasis from micron to meter scales.

cell biology↗

Characterization of Clinical Fusobacterium nucleatum Isolates from Oral Squamous Cell Carcinoma Patients

Fusobacterium nucleatum (Fn), a Gram-negative anaerobe primarily residing in the oral cavity, has garnered increasing attention for its role in a broad spectrum of human diseases. While typically absent or rarely detected outside the oral cavity in healthy individuals, Fn is frequently found at extra-oral sites under disease conditions and has been implicated in cancer progression and prognosis1. In oral squamous cell carcinoma (OSCC), the abundance of Fn significantly increases as the disease progresses, promoting cell invasion and metastasis. Furthermore, substantial evidence links Fn to accelerated tumor growth and metastatic progression in colorectal cancer (CRC), where its presence is also associated with chemotherapy resistance and poor prognosis. Here, to further elucidate the pathogenic mechanisms of Fn in cancer progression, this study characterized the physiological traits, virulence factor expression, and impacts on cancer cells of 10 Fn strains, including two well-characterized ATCC strains and eight clinical isolates. The clinical isolates consisted of three strains from saliva samples of 117 OSCC patients and five strains from 160 non-cancer individuals. Results indicated that oral isolates, regardless of disease origin, all belong to Fn subspecies polymorphum. The ATCC strains (23726 and 25586) exhibited shorter cell lengths and faster growth rates compared to the clinical isolates. Both ATCC strains formed stable biofilms and expressed key virulence genes, including aim1, fadA, fomA, and radD. All isolates tested showed sensitivity to a panel of eight different antibiotics. Interestingly, only one clinical isolate displayed similar stimulation of CRC cell migration as the two ATCC strains, while the other seven displayed no such ability. Collectively, these findings suggest that the most virulent strains, in terms of biofilm formation and virulence gene expression, are not necessarily the most pathogenic in the context of cancer cell interactions. Future pan-genomic analyses, incorporating whole-genome sequencing of the clinical isolates, will aim to delineate the genetic determinants contributing to the carcinogenic potential of Fn.

microbiology↗

SARS-CoV-2 papain-like protease activates nociceptors to drive sneeze and pain

SARS-CoV-2, the virus responsible for COVID-19, triggers symptoms such as sneezing, aches and pain.1 These symptoms are mediated by a subset of sensory neurons, known as nociceptors, that detect noxious stimuli, densely innervate the airway epithelium, and interact with airway resident epithelial and immune cells.2-6 However, the mechanisms by which viral infection activates these neurons to trigger pain and airway reflexes are unknown. Here, we show that the coronavirus papain-like protease (PLpro) directly activates airway-innervating trigeminal and vagal nociceptors in mice and human iPSC-derived nociceptors. PLpro elicits sneezing and acute pain in mice and triggers the release of neuropeptide calcitonin gene-related peptide (CGRP) from airway afferents. We find that PLpro-induced sneeze and pain requires the host TRPA1 ion channel that has been previously demonstrated to mediate pain, cough, and airway inflammation.7-9 Our findings are the first demonstration of a viral product that directly activates sensory neurons to trigger pain and airway reflexes and highlight a new role for PLpro and nociceptors in COVID-19.

neuroscience↗

Homologous Pairs of Low and High Temperature Originating Proteins Spanning the Known Prokaryotic Universe

Stability of proteins at high temperature has been a topic of interest for many years, as this attribute is favourable for applications ranging from therapeutics to industrial chemical manufacturing. Our current understanding and methods for designing high-temperature stability into target proteins are inadequate. To drive innovation in this space, we have curated a large dataset, learn2thermDB, of protein-temperature examples, totalling 24 million instances, and paired proteins across temperatures based on homology, yielding 69 million protein pairs - orders of magnitude larger than the current largest. This important step of pairing allows for study of high-temperature stability in a sequence-dependent manner in the big data era. The data pipeline is parameterized and open, allowing it to be tuned by downstream users. We further show that the data contains signal for deep learning. This data offers a new doorway towards thermal stability design models.

bioinformatics↗

Tracking the Metabolic Fate of Exogenous Arachidonic Acid in Ferroptosis Using Dual-Isotope Labeling Lipidomics

Lipid metabolism is implicated in a variety of diseases, including cancer, cell death, and inflammation, but lipidomics has proven to be challenging due to the vast structural diversity over a narrow range of mass and polarity of lipids. Isotope labeling is often used in metabolomics studies to follow the metabolism of exogenously added labeled compounds because they can be differentiated from endogenous compounds by the mass shift associated with the label. The application of isotope labeling to lipidomics has also been explored as a method to track the metabolism of lipids in various disease states. However, it can be difficult to differentiate a single isotopically labeled lipid from the rest of the lipidome due to the variety of endogenous lipids present over the same mass range. Here we report the development of a dual-isotope deuterium labeling method to track the metabolic fate of exogenous polyunsaturated fatty acids, e.g, arachidonic acid (AA), in the context of ferroptosis using hydrophilic interaction-ion mobility-mass spectrometry (HILIC-IM-MS). Ferroptosis is a type of cell death that is dependent on lipid peroxidation. The use of two isotope labels rather than one enables the identification of labeled species by a signature doublet peak in the resulting mass spectra. A Python-based software, D-Tracer, was developed to efficiently extract metabolites with dual-isotope labels. The labeled species were then identified with Lipydomics based on their retention times, collision cross section, and m/z values. Changes in exogenous AA incorporation in the absence and presence of a ferroptosis inducer were elucidated. Table of Contents O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=82 SRC="FIGDIR/small/542640v1_ufig1.gif" ALT="Figure 1"> View larger version (15K): org.highwire.dtl.DTLVardef@6bbc67org.highwire.dtl.DTLVardef@11e3a84org.highwire.dtl.DTLVardef@193ce6eorg.highwire.dtl.DTLVardef@d5b757_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

Moving bar of light evokes vectorial spatial selectivity in the immobile rat hippocampus

Visual cortical neurons encode the position and motion direction of specific stimuli retrospectively, without any locomotion or task demand1. Hippocampus, a part of visual system, is hypothesized to require self-motion or cognitive task to generate allocentric spatial selectivity that is scalar, abstract2,3, and prospective4-7. To bridge these seeming disparities, we measured rodent hippocampal selectivity to a moving bar of light in a body-fixed rat. About 70% of dorsal CA1 neurons showed stable activity modulation as a function of the bars angular position, independent of behavior and rewards. A third of tuned cells also encoded the direction of revolution. In other experiments, neurons encoded the distance of bar, with preference for approaching motion. Collectively, these demonstrate visually evoked vectorial selectivity (VEVS). Unlike place cells, VEVS was retrospective. Changes in the visual stimulus or its trajectory did not cause remapping but only caused gradual changes. Most VEVS tuned neurons behaved like place cells during spatial exploration and the two selectivity were correlated. Thus, VEVS could form the basic building block of hippocampal activity. When combined with self-motion, reward, or multisensory stimuli8, it can generate the complexity of prospective representations including allocentric space9, time10,11, and episodes12.

neuroscience↗

Probing glioblastoma and its microenvironment using single-nucleus and single-cell sequencing

Single-cell (scSeq) and single-nucleus sequencing (snSeq) are powerful tools to investigate cancer genomics at single cell resolution. Multiple studies have recently illuminated intratumoral heterogeneity in glioblastoma, however, the majority focused on molecular complexity of tumor cells, without considering unexplored host cell types that contribute to the microenvironment around tumor. To address the glioblastoma microenvironment composition and potential tumor-host interactions, we performed deep coverage sequencing of freshly resected primary GBM patient tissue without implementing any tumor enrichment strategies. The sequencing resulted in 902 cells and 1186 nuclei, respectively, passing quality control and with low mitochondrial gene percentage. We customized reference transcriptome by listing gene transcript loci as exons to take into account immature RNA, which greatly improved the alignment rate for single-nucleus data. We applied Cell Ranger pipelines (Version 3.0.2) and Seurat package (Version 2.3.1) and discovered 10 clusters in both scSeq and snSeq. Pathway analysis of each cluster signature in scSeq data along with known GBM microenvironment cell signatures revealed glioma tumor population along with surrounding microglia/macrophages, astrocytes, pericytes, oligodendrocytes, T cells and endothelial cells. The analysis of snSeq was able to capture the majority of cell types from patient tissues (tumor and microenvironment cells), but interestingly presented different cell type composition in microenvironment cell types such as microglia/macrophages. Integrating single-cell and single-nucleus transcriptomic data using canonical correlation analysis facilitated a comparison of snSeq and scSeq, contrasting depiction for certain cell types (e.g. NKX6-2 gene in Oligodendrocytes). Differential analysis of pathways between tumor and microenvironment cells unveiled potentially rewired pathways such as double strand break repair pathway. Our results demonstrate the cellular diversity of brain tumor microenvironment and lay a foundation to further investigate the individual tumor and host cell transcriptomes that are influenced not only by their cell identity but also by their interaction with surrounding microenvironment.

genomics↗

Dynamics of Cortical Dendritic Membrane Potential and Spikes in Freely Behaving Rats

Neural activity in vivo is primarily measured using extracellular somatic spikes, which provide limited information about neural computation. Hence, it is necessary to record from neuronal dendrites, which generate dendritic action potentials (DAP) and profoundly influence neural computation and plasticity. We measured neocortical sub- and supra-threshold dendritic membrane potential (DMP) from putative distal-most dendrites using tetrodes in freely behaving rats over multiple days with a high degree of stability and sub-millisecond temporal resolution. DAP firing rates were several fold larger than somatic rates. DAP rates were modulated by subthreshold DMP fluctuations which were far larger than DAP amplitude, indicting hybrid, analog-digital coding in the dendrites. Parietal DAP and DMP exhibited egocentric spatial maps comparable to pyramidal neurons. These results have important implications for neural coding and plasticity.\n\nOne Sentence SummaryMeasurement of cortical dendritic membrane potential for several days in freely behaving rats reveals disproportionate dendritic spiking and analog and digital coding.

neuroscience↗