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Travers, J.

Publications and source records attributed to Travers, J..

7 recordsLinked to original sources

RIP3 and MLKL regulate Hepatic ER stress in alcohol-associated liver disease and pharmacological ER stress models: insights beyond necroptosis

Background and AimEndoplasmic reticulum (ER) stress is an important contributor to liver disease progression, including alcohol-associated liver disease (ALD). While receptor-interacting protein kinase-3 (RIP3) and mixed lineage kinase domain-like pseudokinase (MLKL) are known for their roles in necroptosis, emerging evidence highlights their non-canonical functions in metabolic regulation and cellular stress responses. However, their specific role in regulating hepatic ER stress remains unclear. This study investigates how RIP3, its kinase activity, and MLKL regulate ER stress pathways during chronic ethanol exposure and pharmacological ER stress induction. MethodsRip3-/-, Rip3K51A/K51A and Mlkl-/- mice alongside WT controls and pharmacological necroptosis inhibitors were used to study the role of RIP3 and MLKL in modulating ER stress. Chronic ethanol feeding and pharmacological agents (tunicamycin, thapsigargin) were utilized to induce ER stress in vivo and in isolated primary hepatocytes. ER stress markers were assessed by qPCR and western blot, ER expansion was evaluated by confocal microscopy, and hepatocyte viability was measured using MTS assay. ResultsChronic ethanol increased expression of ER stress markers in WT mice; this response was attenuated in Rip3-/- mice. Tunicamycin exposure increased hepatic ER stress markers in WT mice; this response was diminished in Rip3-/-, Rip3K51A/K51A and Mlkl-/-mice. In primary hepatocytes, genetic and pharmacological inhibition of RIP3 and MLKL also reduced thapsigargin-induced ER stress responses. Hepatocytes isolated from Rip3-/-, Rip3K51A/K51Aand Mlkl-/- mice exhibited enhanced cell viability under ER stress conditions compared to hepatocytes from WT mice, which was associated with ER expansion as a potential mechanism for mitigating ER stress. ConclusionThis study highlights a novel function of RIP3 and MLKL in regulating hepatic ER stress responses, expanding their known roles beyond programmed necrosis. Impact and ImplicationsThis study provides new mechanistic insight into how RIP3 and MLKL regulate hepatic ER stress responses, extending their roles beyond necroptosis. By demonstrating that genetic or pharmacological inhibition of Rip3, RIP3 kinase activity and Mlkl attenuates ER stress signaling, reduces cell death, and promotes adaptive ER remodeling, our findings identify these proteins as key modulators of hepatocyte survival under stress. These results are important for researchers and clinicians focused on alcohol-associated liver disease and other ER stress-driven liver disorders, as they highlight novel therapeutic targets. In practical terms, modulation of the RIP3- MLKL axis could inform the development of interventions aimed at enhancing ER stress resilience, with potential applications in drug development for ER stress-associated liver injury.

cell biology↗

Mitochondria-derived dsRNA-induced stress granules promote IRF3-mediated fibrotic responses

Nucleic acid-induced activation of the anti-viral transcription factor interferon regulatory factor 3 (IRF3) promotes transforming growth factor-beta (TGF{beta})-induced fibrotic responses of hepatic stellate cells in vitro. Herein, we identified molecular mechanisms underlying TGF{beta}-induced IRF3 activation. Gene silencing of IRF3 with short interfering RNA (siRNA) in LX2 human hepatic stellate cells decreased TGF{beta}-induced fibrotic responses. An unbiased proteomic analysis of homeostatic IRF3-interacting proteins revealed striking enrichment in cytoplasmic stress granule components, including G3BP stress granule assembly factor 1 (G3BP1), G3BP2, and cell cycle associated protein 1 (CAPRIN1). TGF{beta} induced cytoplasmic accumulation of mitochondria-derived double-stranded RNA (mt-dsRNA) and assembly of IRF3-containing stress granules. Finally, blockade of G3BP1 activity or depletion of mt-dsRNA decreased TGF{beta}-induced fibrotic responses. Collectively, these findings identify a novel TGF{beta}-mt-dsRNA-stress granule axis in hepatic stellate cells that promotes IRF3-mediated fibrotic responses and potentially implicate cytoplasmic stress granules as a global regulator of fibrosis.

cell biology↗

Mechanism by which Aurora B inhibitors promotes RB and p53-dependent senescence.

Polyploidy is a common outcome of chemotherapies, but there is conflicting evidence as to whether this is a source of increased chemotherapy resistance and aggressive disease, or a benign or even favorable outcome. We have used Aurora B kinase (AURKB) inhibitors that efficiently promote polyploidy in many cell types to investigate the fate of polyploid cells. We demonstrate AURKB inhibitor treatment of cells that have loss of RB and p53 function causes them to become hyper-polyploid, undergoing continuous rounds of growth, replication and failed mitosis/cytokinesis (endomitosis), whereas RB and p53 functional cells will eventually exit the cell cycle. These hyper-polyploid cells (>4n DNA content) are viable and undergo continuous endomitotic cycles, but have lost the ability to form viable colonies in vitro or form tumours in vivo. Investigation of mitosis in these cells revealed that centrosome duplication remained coupled to DNA replication, with the hyper-polyploid cells containing high numbers of centrosome that were capable of supporting functional mitotic spindle poles, but these failed to progress to anaphase/telophase structures even when AURKB inhibitor was removed after 2-3 days. However, when AURKB inhibitor was removed after 1 day and cells had failed a single cytokinesis to become tetraploid, they retained long term colony forming ability. Collectively, these findings demonstrate that tetraploidy is well tolerated by tumour cells but higher ploidy states are incompatible with long term proliferative potential.

cell biology↗

Characteristics and Impact of the rNST GABA Network on Neural and Behavioral Taste Responses

The rostral nucleus of the solitary tract (rNST), the initial CNS site for processing gustatory information, is comprised of two major cell types, glutamatergic excitatory and GABAergic inhibitory neurons. Many investigators have described taste responses of rNST neurons, but the phenotypes of these cells were unknown. The current investigation used mice expressing ChR2 under the control of GAD65, a synthetic enzyme for GABA. In vivo single-unit recording of rNST cells during optogenetic stimulation allowed us to address two important questions: (1) what are the gustatory response characteristics of "optotagged", putative GABAergic (G+TASTE) neurons? and (2) how does optogenetic activation of the rNST GABA network impact taste responses in non-GABAergic (G-TASTE) neurons? We observed that chemosensitive profiles of G+TASTE neurons were similar to non-GABA taste neurons but had much lower response rates. We further observed that there was a population of GABA cells unresponsive to taste stimulation (G+UNR) and located more ventrally in the nucleus. Activating rNST inhibitory circuitry suppressed gustatory responses of G-TASTE neurons across all qualities and types of chemosensitive neurons. Tuning curves were modestly sharpened but the overall shape of response profiles and the ensemble pattern remained highly stable. These neurophysiological effects were consistent with the behavioral consequences of activating GAD65-expressing inhibitory neurons using DREADDs. In a brief-access licking task, concentration-response curves to both palatable (sucrose, maltrin) and unpalatable (quinine) stimuli were shifted to the right when GABA neurons were activated. Thus, the rNST GABAergic network is poised to modulate taste intensity across the qualitative and hedonic spectrum. SIGNIFICANCE STATEMENTThe rNST, the CNS gateway for taste, is rich in GABAergic neurons and synapses. Our in vivo recordings from GAD65/ChR2 mice reveal that gustatory response profiles of optotagged GABAergic neurons resemble non-GABAergic neurons, but with much reduced amplitudes. A novel population of GABA neurons were unresponsive to oral stimulation suggesting they are targets for centrifugal influences. Activating rNST inhibitory circuitry modestly sharpened gustatory tuning but preserved the ensemble pattern for taste quality despite markedly suppressed responses. In behaving mice, activating rNST GAD65-expressing neurons with DREADDs shifted response-concentration curves for palatable and unpalatable stimuli, but preserved appropriate behaviors. These observations unveil previously unknown features of rNST GABA cells and demonstrate substantial inhibitory modulation at the first central taste relay.

neuroscience↗

Oncogenic RAS commandeers amino acid sensing machinery to aberrantly activate mTORC1 in multiple myeloma

Oncogenic mutations within the RAS pathway are common in multiple myeloma (MM), an incurable malignancy of plasma cells. However, the mechanisms of pathogenic RAS signaling in this disease remain enigmatic and difficult to inhibit therapeutically. We employed an unbiased proteogenomic approach to dissect RAS signaling in MM by combining genome-wide CRISPR-Cas9 screening with quantitative mass spectrometry focused on RAS biology. We discovered that mutant isoforms of RAS organized a signaling complex with the amino acid transporter, SLC3A2, and MTOR on endolysosomes, which directly activated mTORC1 by co-opting amino acid sensing pathways. MM tumors with high expression of mTORC1-dependent genes were more aggressive and enriched in RAS mutations, and we detected interactions between RAS and MTOR in MM patient tumors harboring mutant RAS isoforms. Inhibition of RAS-dependent mTORC1 activity synergized with MEK and ERK inhibitors to quench pathogenic RAS signaling in MM cells. This study redefines the RAS pathway in MM and provides a mechanistic and rational basis to target this novel mode of RAS signaling.

cancer biology↗

Cross-platform Bayesian optimization system for autonomous biological assay development

Current high-throughput screening assay optimization is often a manual and time-consuming process, even when utilizing design-of-experiment approaches. A cross-platform, Cloud-based Bayesian optimization-based algorithm was developed as part of the NCATS ASPIRE Initiative to accelerate preclinical drug discovery. A cell-free assay for papain enzymatic activity was used as proof-of-concept for biological assay development. Compared to a brute force approach that sequentially tested all 294 assay conditions to find the global optimum, the Bayesian optimization algorithm could find suitable conditions for optimal assay performance by testing only 21 assay conditions on average, with up to 20 conditions being tested simultaneously. The algorithm could achieve a seven-fold reduction in costs for lab supplies and high-throughput experimentation run-time, all while being controlled from a remote site through a secure connection. Based on this proof-of-concept, this technology is expected to be applied to more complex biological assays and automated chemistry reaction screening at NCATS, and should be transferable to other institutions.

biochemistry↗

MiLeSIM: combining super-resolution and machine learning permits high-throughput virus structure analysis

Optical super-resolution microscopy techniques enable high molecular specificity with high spatial resolution and constitute a set of powerful tools in the investigation of the structure of supramolecular assemblies such as viruses. Here, we report on a new methodology which combines Structured Illumination Microscopy (SIM) with machine learning algorithms to image and classify the structure of large populations of biopharmaceutical viruses with high resolution. The method offers information on virus morphology that can ultimately be linked with functional performance. We demonstrate the approach on viruses produced for oncolytic viriotherapy (Newcastle Disease Virus) and vaccine development (Influenza). This unique tool enables the rapid assessment of the quality of viral production with high throughput obviating the need for traditional batch testing methods which are complex and time consuming. We show that our method also works on non-purified samples from pooled harvest fluids directly from the production line.

biophysics↗