Biology subjects

Young, T.

Publications and source records attributed to Young, T..

15 recordsLinked to original sources

bioRxiv2026

Light-inducible proximity labelling in vivo captures sex-specific RNA at excitatory synapses

Local RNA regulation is essential for synaptic plasticity, yet the full repertoire of RNA species and associated isoforms within specific synaptic compartments in vivo has yet to be determined. Existing RNA profiling approaches lack the spatial and temporal precision needed to resolve RNA repertoires restricted to cell-type specific synaptic compartments. To overcome this challenge, we developed PSD-95-Halo-seq, a light-induced proximity labelling technique that, when combined with long-read sequencing, selectively captures all post-synaptic full length RNA species in the excitatory post-synaptic compartment. Here, we applied this approach to investigate sex differences in RNA expression within excitatory synapses following exposure to an associative fear learning task in C57/Bl6 mice. We found dramatic sex differences in pseudogene and protein coding RNA expression, which are most abundant in females, with males exhibiting multiple noncoding RNA classes, including lncRNA, snoRNA, and rRNA. Females generally showed more 3' UTR expression, and there was widespread differential exon usage following fear conditioning, including 179 isoforms in males, 69 in females, with no significant gene-level differential expression, indicating that behavioural state modifies sex-specific isoform usage rather than overall transcript abundance. Our discovery that synaptic RNA composition is dynamic, sexually dimorphic, and profoundly shaped by experience, offers new insight into previously inaccessible mechanisms underlying sex differences in fear-related learning and memory. PSD-95-Halo-seq is therefore a powerful method for the precise spatiotemporal identification of compartment-and cell-type-specific RNA. One sentence take-awaySynapse-targeted proximity labelling and Long-Read sequencing demonstrate that excitatory post-synapses encode experience through sex-specific, isoform-level RNA remodeling.

neuroscience↗

bioRxiv2025

The Nicotinamide Salvage Pathway is a Metabolic Vulnerability of High-Risk MDS Stem Cells

High-risk myelodysplastic syndrome (HR-MDS) is a malignant clonal disorder originating in hematopoietic stem and progenitor cells (HSPCs). The current standard of care for HR-MDS patients is hypomethylating agents; however, the response rate is poor. There is thus a need to explore vulnerabilities of HR-MDS HSPCs for better clinical outcomes. We demonstrate that HR-MDS HSPCs have significant upregulation of metabolic proteins required for glycolysis, citric acid cycle, and oxidative phosphorylation. Consistently, we see increased oxygen consumption rate in HR-MDS HSPCs compared to healthy, suggesting an increased metabolic rate. Corroboratively, compared to healthy HSPCs, HR-MDS HSPCs have increased abundance of mitochondrial complex I proteins, which are NADH dehydrogenases, and crucial for energy production. Therefore, we investigated whether HR-MDS HSPCs are functionally reliant on NAMPT, the rate-limiting enzyme in the nicotinamide salvage pathway of NAD anabolism. NAMPT inhibition significantly decreased NAD(H) in HR-MDS HSPCs. Consequently, NAMPT inhibition reduced the oxygen-consuming capacity of HR-MDS-HSPCs compared to healthy. Importantly, NAMPT inhibition significantly impaired the self-renewal and colony-forming potential, increased cell death and reduced disease burden specifically of HR-MDS HSPCs, compared to healthy controls. Collectively, our data suggest that NAMPT is selectively required for the function and survival of HR-MDS HSPCs representing a promising therapeutic target.

cancer biology↗

bioRxiv2025

Trends in stomatal density and size in maize hybrids representing 100 years of long-term breeding for yield

Maize hybrid breeding started over 100 years ago, has increased yield and vigor through improved genetics in conjunction with increased fertilizer and pesticide use, planting density, and agricultural mechanization. Stomata are expected to change in response to rising atmospheric CO2 concentration and average temperature anomalies ({degrees}C). Yet, the impact of long-term maize breeding over the past century on stomatal traits and their responses to climate factors remains poorly understood. We evaluated stomatal traits at the seedling stage in 27 maize hybrids released from 1920 to 2022, grown under controlled conditions. Modern hybrids (2013 - 2022) had a smaller total stomatal pore area (9.17 x 108 m2) than (1920 - 2012) historical ERA hybrids (9.94 x 108 m2; p[≤] 0.001), a higher stomatal density (47.2 per mm-2) vs. historical ERA hybrids (44.5), and a smaller leaf area (17.9 cm2 vs. 20.5 cm2). No significant differences were found in the size (m2), length (m), or width (m) of stomata between the two groups. Stomatal density increased, while all other traits decreased in modern hybrids. Stomatal density was negatively correlated with stomatal size (r = -0.62), length (r = -0.57), width (r = - 0.54), and leaf area (r = -0.54). Stomatal size had a negative correlation with atmospheric CO2 concentration (r = -0.22) and average temperature anomalies ({degrees}C) (r = -0.35) in the hybrids year of release and climate proxies. In contrast, stomatal density had a positive correlation with both atmospheric CO2 concentration and average temperature anomalies ({degrees}C) (r = 0.44) in year of release. Total stomatal pore area negatively correlated with atmospheric CO2 concentration (r = -0.45) and average temperature anomalies ({degrees}C) (r = -0.36). Our study indicates that maize stomatal traits suggest inadvertent selection for key stomatal traits (density and size), total stomatal pore area (per year decline of about 0.02%) associated with yield stability and environmental adaptation. HighlightsMaize stomatal traits changed through environmental (CO2 and {degrees}C) adaptation but total stomatal pore area, effects indirectly by decreased leaf area in maize hybrids representing 100 years of long-term breeding for yield. A negative correlation was observed across 27 ERA hybrids between stomatal density and stomatal size, length, width and leaf area. Stomatal density increases while stomata size, length width and leaf area decrease per se. Over the past 100 years, the total stomatal pore area on leaves decreased, while stomatal density increased as leaf area declined, revealing a connection between these two patterns. A negative correlation was found between total stomatal pore area and atmospheric CO2 concentrations, and temperature over the past century.

genetics↗

bioRxiv2025

Depth-Resolved Macroscopic Fluorescence Lifetime Imaging via High-Spatial-Frequency Structured Illumination

SignificanceMacroscopic Fluorescence Lifetime Imaging (MFLI) is a powerful, non-invasive imaging modality that offers robust, physiologically relevant contrast largely independent of fluorophore concentration, excitation intensity, and tissue signal attenuation. However, accurately determining the depth of signal origin remains challenging, potentially leading to ambiguity in biological interpretation. Here, we present a novel optical correction method that effectively eliminates surface signal bias, such as that from skin in preclinical imaging, without the need for chemical clearance. This advancement supports the robust applicability of MFLI in translational research. AimEstablishment of a High Spatial Frequency-Fluorescence Lifetime Imaging (HSF-FLI) framework to selectively isolate subsurface fluorescence (deeper signals) from surface fluorescence, while preserving the accuracy of lifetime estimation. ApproachA modulation transfer function (MTF) that relates spatial frequency to penetration depth was derived using Monte Carlo eXtreme (MCX) simulations (for physics-based modeling) and validated with agar-based capillary phantoms on a time-gated ICCD-DMD system. Depth-independent fluorescence was decomposed into surface and subsurface components through structured three-phase sinusoidal illumination, and nonlinear least squares fitting was applied to recover lifetime or lifetime based parameters maps. HSF-FLI was demonstrated in vivo in mouse models bearing tumor xenogratfs and was cross validated with ex vivo measurements. ResultsWe extensively characterized the performance of High Spatial Frequency-Fluorescence Lifetime Imaging (HSF-FLI) through simulations and tissue-mimicking phantoms. The approach was further validated in vivo by assessing drug delivery in preclinical models using MFLI-FRET (Forster Resonance Energy Transfer). ConclusionBy coupling structured illumination with physics-based depth modeling, HSF-FLI delivers accurate, depth-selective lifetime readouts, setting the stage for robust and fast FLI implementation in translational studies.

bioengineering↗

bioRxiv2025

Therapy resistance in AML is mediated by cytoplasmic sequestration of the transcriptional repressor IRF2BP2

While the development of venetoclax with azacitidine (ven/aza) has improved AML therapy, drug resistance remains a major challenge. Notably, primary ven/aza-resistant AML are frequently reliant on MCL1, however, the underlying mechanisms remain unclear. Co-immunoprecipitation of MCL1 from ven/aza-resistant AML samples coupled with mass spectrometry analysis identified the transcriptional repressor Interferon Regulatory Factor 2 Binding Protein 2 (IRF2BP2) as an MCL1 binding partner. This interaction results in cytoplasmic IRF2BP2 localization and loss of transcriptional repression within ven/aza-resistant leukemic stem cells (LSC). Consequently, ven/aza-resistant LSC have increased IRF2BP2 target gene expression, including acyl-CoA synthetase long-chain family member 1 (ACSL1), an essential rate-limiting enzyme for fatty acid oxidation (FAO). Inhibition of ACSL1 functionally impaired ven/aza-resistant LSC through a depletion of long-chain acyl-carnitine metabolites and FAO. Collectively, these data provide evidence for a previously undescribed mechanism by which MCL1 mediates IRF2BP2 cytoplasmic sequestration and consequent de-repression of ACSL1, thereby promoting ven/aza-resistance in AML.

cancer biology↗

bioRxiv2023

Targeting Acute Myeloid Leukemia Stem Cells Through Perturbation of Mitochondrial Calcium

We previously reported that acute myeloid leukemia stem cells (LSCs) are uniquely reliant on oxidative phosphorylation (OXPHOS) for survival. Moreover, maintenance of OXPHOS is dependent on BCL2, creating a therapeutic opportunity to target LSCs using the BCL2 inhibitor drug venetoclax. While venetoclax-based regimens have indeed shown promising clinical activity, the emergence of drug resistance is prevalent. Thus, in the present study, we investigated how mitochondrial properties may influence mechanisms that dictate venetoclax responsiveness. Our data show that utilization of mitochondrial calcium is fundamentally different between drug responsive and non-responsive LSCs. By comparison, venetoclax-resistant LSCs demonstrate a more active metabolic (i.e., OXPHOS) status with relatively high steady-state levels of calcium. Consequently, we tested genetic and pharmacological approaches to target the mitochondrial calcium uniporter, MCU. We demonstrate that inhibition of calcium uptake sharply reduces OXPHOS and leads to eradication of venetoclax-resistant LSCs. These findings demonstrate a central role for calcium signaling in the biology of LSCs and provide a therapeutic avenue for clinical management of venetoclax resistance. SignificanceWe identify increased utilization of mitochondrial calcium as distinct metabolic requirement of venetoclax-resistant LSCs and demonstrate the potential of targeting mitochondrial calcium uptake as a therapeutic strategy.

cancer biology↗

bioRxiv2023

Raman micro-spectroscopy reveals the spatial distribution of fumarate in cells and tissues.

Aberrantly accumulated metabolites such as fumarate elicit intra- and inter-cellular pro-oncogenic cascades, yet current methods to measure them require sample perturbation or disruption and lack spatio-temporal resolution, limiting our ability to fully characterize their function and distribution in cells and within a tissue. Raman spectroscopy (RS) is a powerful bio-analytical tool that directly characterizes the chemical composition of a sample based solely on the optical fingerprint of vibrational modes. Here, we show for the first time that RS can directly detect fumarate in living cells in vivo and animal tissues ex vivo. Using the observed linear relationship between Raman scattered intensity and fumarate concentration, we demonstrate that RS can distinguish between Fumarate hydratase (Fh1)-deficient and Fh1-proficient cells based on their fumarate concentration. Moreover, RS reveals the spatial compartmentalization of fumarate within cellular organelles: consistent with disruptive methods, in Fh1-deficient cells we observe the highest fumarate concentration (37 {+/-} 19 mM) in the mitochondria, where the TCA cycle operates, followed by the cytoplasm (24 {+/-} 13 mM) and then the nucleus (9 {+/-} 6 mM). Finally, we apply RS to tissues from an inducible mouse model of FH loss in the kidney, demonstrating that RS can accurately classify FH status in these tissues. These results suggest that RS could be adopted as a valuable tool for small molecule metabolic imaging, enabling in situ dynamic evaluation of fumarate compartmentalization.

cell biology↗

bioRxiv2023

Microbiome modulates immunotherapy response in cutaneous squamous cell carcinoma

The gut microbiome is increasingly recognized to alter cancer risk, progression, and response to treatments such as immunotherapy, especially in cutaneous melanoma. However, whether the microbiome influences immune checkpoint inhibitor (ICI) immunotherapy response to non-melanoma skin cancer has not yet been defined. As squamous cell carcinomas (SCC) are in closest proximity to the skin microbiome, we hypothesized that the skin microbiome, which regulates cutaneous immunity, might affect SCC-associated anti-PD1 immunotherapy treatment response. We used ultraviolet radiation to induce SCC in SKH1 hairless mice. We then treated the mice with broad-band antibiotics to deplete the microbiome, followed by colonization by candidate skin and gut bacteria or persistent antibiotic treatment, all in parallel with ICI treatment. We longitudinally monitored skin and gut microbiome dynamics by 16S rRNA gene sequencing, and tumor burden by periodic tumor measurements and histologic assessment. Our study revealed that antibiotics-induced abrogation of the microbiome reduced tumor burden, suggesting a functional role of the microbiome in non-melanoma skin cancer therapy response.

microbiology↗

bioRxiv2022

Class imbalance should not throw you off balance: Choosing classifiers and performance metrics for brain decoding with imbalanced data

Machine learning (ML) is increasingly used in cognitive, computational and clinical neuroscience. The reliable and efficient application of ML requires a sound understanding of its subtleties and limitations. Training ML models on datasets with imbalanced classes is a particularly common problem, and it can have severe consequences if not adequately addressed. With the neuroscience ML user in mind, this paper provides a didactic assessment of the class imbalance problem and illustrates its impact through systematic manipulation of data imbalance ratios in (i) simulated data and (ii) brain data recorded with electroencephalography (EEG) and magnetoencephalography (MEG). Our results illustrate how the widely-used Accuracy (Acc) metric, which measures the overall proportion of successful predictions, yields misleadingly high performances, as class imbalance increases. Because Acc weights the per-class ratios of correct predictions proportionally to class size, it largely disregards the performance on the minority class. A binary classification model that learns to systematically vote for the majority class will yield an artificially high decoding accuracy that directly reflects the imbalance between the two classes, rather than any genuine generalizable ability to discriminate between them. We show that other evaluation metrics such as the Area Under the Curve (AUC) of the Receiver Operating Characteristic (ROC), and the less common Balanced Accuracy (BAcc) metric - defined as the arithmetic mean between sensitivity and specificity, provide more reliable performance evaluations for imbalanced data. Our findings also highlight the robustness of Random Forest (RF), and the benefits of using stratified cross-validation and hyperprameter optimization to tackle data imbalance. Critically, for neuroscience ML applications that seek to minimize overall classification error, we recommend the routine use of BAcc, which in the specific case of balanced data is equivalent to using standard Acc, and readily extends to multi-class settings. Importantly, we present a list of recommendations for dealing with imbalanced data, as well as open-source code to allow the neuroscience community to replicate and extend our observations and explore alternative approaches to coping with imbalanced data.

neuroscience↗

bioRxiv2021

Nitrogen partitioning between branched-chain amino acids and urea cycle enzymes sustains renal cancer progression

Metabolic reprogramming is critical for tumor initiation and progression. However, the exact impact of specific metabolic changes on cancer progression is poorly understood. Here, we combined multi-omics datasets of primary and metastatic clonally related clear cell renal cancer cells (ccRCC) and generated a computational tool to explore the metabolic landscape during cancer progression. We show that a VHL loss-dependent reprogramming of branched-chain amino acid catabolism is required to maintain the aspartate pool in cancer cells across all tumor stages. We also provide evidence that metastatic renal cancer cells reactivate argininosuccinate synthase (ASS1), a urea cycle enzyme suppressed in primary ccRCC, to enable invasion in vitro and metastasis in vivo. Overall, our study provides the first comprehensive elucidation of the molecular mechanisms responsible for metabolic flexibility in ccRCC, paving the way to the development of therapeutic strategies based on the specific metabolism that characterizes each tumor stage. HighlightsO_LIBranched-chain amino acids catabolism is reprogrammed in ccRCC tumors C_LIO_LIBCAT-dependent transamination supplies nitrogen for de novo biosynthesis of amino acids including aspartate and asparagine in ccRCC C_LIO_LIAspartate produced downstream of BCAT is used specifically by metastatic cells through argininosuccinate synthase (ASS1) and argininosuccinate lyase (ASL) to generate arginine, providing a survival advantage in the presence of microenvironments with rate limiting levels of arginine C_LIO_LIASS1 is re-expressed in metastatic 786-M1A through epigenetic remodeling and it is sensitive to arginine levels C_LIO_LISilencing of ASS1 impairs the metastatic potential in vitro and in vivo of ccRCC cells C_LI

cancer biology↗

bioRxiv2021

Disruption of the TCA cycle reveals an ATF4-dependent integration of redox and amino acid metabolism

The Tricarboxylic Acid Cycle (TCA) cycle is arguably the most critical metabolic cycle in physiology and exists as an essential interface coordinating cellular metabolism, bioenergetics, and redox homeostasis. Despite decades of research, a comprehensive investigation into the consequences of TCA cycle dysfunction remains elusive. Here, we targeted two TCA cycle enzymes, fumarate hydratase (FH) and succinate dehydrogenase (SDH), and combined metabolomics, transcriptomics, and proteomics analyses to fully appraise the consequences of TCA cycle inhibition (TCAi) in kidney epithelial cells. Our comparative approach shows that TCAi elicits a convergent rewiring of redox and amino acid metabolism dependent on the activation of ATF4 and the integrated stress response (ISR). Furthermore, we also uncover a divergent metabolic response, whereby acute FHi, but not SDHi, can maintain asparagine levels via reductive carboxylation and maintenance of cytosolic aspartate synthesis. Our work highlights an important interplay between the TCA cycle, redox biology and amino acid homeostasis. HighlightsO_LITCA cycle inhibition promotes GSH synthesis and impairs de novo aspartate and proline synthesis C_LIO_LIDisruption of mitochondrial thiol redox homeostasis phenocopies TCA cycle inhibition by promoting GSH synthesis and impairing proline and aspartate synthesis C_LIO_LIAcute FHi, but not SDHi, can maintain asparagine levels via reductive carboxylation and maintenance of cytosolic aspartate synthesis C_LIO_LITCA cycle inhibition mimics an amino acid deprivation-type response and activates ATF4 via the integrated stress response to maintain redox and amino acid homeostasis C_LI

biochemistry↗

bioRxiv2020

Acquisition of ionic copper by a bacterial outer membrane protein

Copper, while toxic in excess, is an essential micronutrient in all kingdoms of life due to its essential role in the structure and function of many proteins. Proteins mediating ionic copper import have been characterised in detail for eukaryotes, but much less so for prokaryotes. In particular, it is still unclear whether and how Gram-negative bacteria acquire ionic copper. Here we show that Pseudomonas aeruginosa OprC is an outer membrane, TonB-dependent transporter that is conserved in many Proteobacteria and which mediates acquisition of both reduced and oxidised ionic copper via an unprecedented CxxxM-HxM metal binding site. Crystal structures of wild type and mutant OprC variants with silver and copper suggest that acquisition of Cu(I) occurs via a surface-exposed "methionine track" leading towards the principal metal binding site. Together with whole-cell copper quantitation and quantitative proteomics in a murine lung infection model, our data identify OprC as an abundant component of bacterial copper biology that may enable copper acquisition under a wide range of conditions. SignificanceCopper is an essential metal in biology due to its role in the structure and function of many proteins. Despite this, it is not very clear how bacteria acquire copper, especially for Gram-negative organisms. In this study we show that the outer membrane protein OprC has an unusual metal binding site that allows OprC to bind both reduced and oxidised ionic copper near-irreversibly. Given the versatility of OprC, its presence in many Proteobacteria and its abundance during lung infection in mice, our study shows that OprC is an important component of prokaryote copper biology that warrants further study to uncover its regulation and to assess its role in bacterial virulence.

microbiology↗

bioRxiv2020

A large cross-ancestry meta-analysis of genome-wide association studies identifies 69 novel risk loci for primary open-angle glaucoma and includes a genetic link with Alzheimer's disease

We conducted a large multi-ethnic meta-analysis of genome-wide association studies for primary open-angle glaucoma (POAG) on a total of 34,179 cases vs 349,321 controls, and identified 127 independent risk loci, almost doubling the number of known loci for POAG. The majority of loci have broadly consistent effect across European, Asian and African ancestries. We identify a link, both genome-wide and at specific loci, between POAG and Alzheimers disease. Gene expression data and bioinformatic functional analyses provide further support for the functional relevance of the POAG risk genes. Several drug compounds target these risk genes and may be potential candidates for developing novel POAG treatments.

genetics↗

bioRxiv2018

TFF3 is a ligand for LINGO2 that de-represses EGFR to control disease outcome during colitis and gastrointestinal nematode infection

Intestinal epithelial cells (IEC) comprise diverse lineages that serve distinct roles necessary for regulation of nutrient absorption, regeneration, immunity, and homeostasis1,2. Goblet cells secrete Trefoil factor 3 (TFF3) to maintain mucus viscosity and drive mucosal healing by inhibiting cell death and influencing tight junction protein expression3. However, whether TFF3 signaling relies upon conventional ligand-receptor interactions has been unclear for decades. This study demonstrates that the orphan transmembrane protein leucine rich repeat receptor and nogo-interacting protein 2 (LINGO2) immunoprecipitates with TFF3, that LINGO2 and TFF3 co-localize at the IEC cell surface, and that TFF3/LINGO2 interactions block IEC apoptosis. Loss of function studies show that TFF3-driven STAT3 and EGFR activation are both LINGO2 dependent. Importantly, we demonstrate that TFF3 disrupts LINGO2/EGFR interactions that normally restrict EGFR activity, resulting in enhanced EGFR signaling. Excessive EGFR activation in Lingo2 gene deficient mice exacerbates colitic disease and accelerates host resistance to parasitic nematodes, whereas TFF3 deficiency results in host susceptibility. Thus, our data demonstrating that TFF3 functions through a previously unrecognized ligand-receptor interaction with LINGO2 to de-repress LINGO2-dependent inhibition of EGFR activation provides a novel conceptual framework explaining how TFF3-mediates mucosal wound healing through enhanced activation of the EGFR pathway.

cell biology↗

bioRxiv2018

Tumor pre-conditioning of draining lymph node stroma by lactic acid

Communication between tumors and the stroma of tumor draining lymph nodes (TDLNs) exists before metastasis arises, altering structure and function of the TDLN niche. Transcriptional profiling of fibroblastic reticular cells (FRCs), the dominant stromal population of the LN, revealed reprogramming of these cells in immune related pathways, but also in fibroblast activation and mitochondrial function. However, tumor derived factors driving the changes in FRCs remained to be identified. Taking an unbiased approach, we show that lactate, a metabolite released by cancer cells, elicits upregulation of Pdpn and Thy1 in FRCs of TDLNs, making them akin to activated fibroblasts found at the primary tumor site. Furthermore, we show that tumor-derived lactate alters mitochondrial function of FRCs of TDLNs. Thus, our results demonstrate a novel mechanism by which a tumor-derived metabolite modulates the function of fibroblasts in TDLNs.

cancer biology↗