Biology subjects

Johnson, R. S.

Publications and source records attributed to Johnson, R. S..

13 recordsLinked to original sources

bioRxiv2026

Circulating extracellular vesicles in plasma carry accessible molecular signatures of aging in mice

Cells release membrane-bound extracellular vesicles into the bloodstream laden with proteins that may reflect their physiological state. How this circulating EV proteome changes across life remains poorly understood. Identifying molecular signatures of aging in accessible biofluids could facilitate earlier intervention and monitoring of age-related disease. Many circulating aging proteome studies rely on affinity-based platforms which suffer from poor cross-species translation, ambiguous signal attribution, and inconsistent agreement between platforms. Here, we present a characterization of the aging plasma EV proteome from a cross-sectional cohort of 86 male and female C57BL/6J mice (5-31 months). We leveraged a species-agnostic EV enrichment (Mag-Net) and mass spectrometry to detect 2,575 protein groups from 15,969 peptides. Protein abundance heterogeneity increased with age and the abundance of 272 proteins were significantly correlated with chronological age including established senescence and frailty markers. Proteins increasing with age were enriched in genome maintenance pathways, while those decreasing were associated with the extracellular matrix organization and lipid metabolism. Notably, several of the strongest age-increased proteins converged on Alzheimers and Parkinsons disease pathology. We observed sexual divergence in the aging EV proteome not previously characterized at this resolution. A proteomic clock built from this data accurately predicts chronological age, and peptide-level analysis reveals aging signals invisible at protein-level. These findings demonstrate that EV-enriched plasma proteomics can identify known aging markers, reveal novel sex-specific age-related changes, and generate predictive models of chronological age. This study provides a species-agnostic foundation for proteomic clocks that complement epigenetic approaches to monitor aging and evaluate healthspan.

molecular biology↗

bioRxiv2024

Tissue-specific metabolomic signatures for a doublesex model of reduced sexual dimorphism

Sex has a major effect on the metabolome. However, we do not yet understand the degree to which these quantitative sex differences in metabolism are associated with anatomical dimorphism and modulated by sex-specific tissues. In the fruit fly, Drosophila melanogaster, knocking out the doublesex (dsx) gene gives rise to adults with intermediate sex characteristics. Here we sought to determine the degree to which this key node in sexual development leads to sex differences in the fly metabolome. We measured 91 metabolites across head, thorax and abdomen in Drosophila, comparing the differences between distinctly sex-dimorphic flies with those of reduced sexual dimorphism: dsx null flies. Notably, in the reduced dimorphism flies, we observed a sex difference in only 1 of 91 metabolites, kynurenate, whereas 51% of metabolites (46/91) were significantly different between wildtype XX and XY flies in at least one tissue, suggesting that dsx plays a major role in sex differences in fly metabolism. Kynurenate was consistently higher in XX flies in both the presence and absence of functioning dsx. We observed tissue-specific consequences of knocking out dsx. Metabolites affected by sex were significantly enriched in branched chain amino acid metabolism and the mTOR pathway. This highlights the importance of considering variation in genes that cause anatomical sexual dimorphism when analyzing sex differences in metabolic profiles and interpreting their biological significance.

systems biology↗

bioRxiv2024

ABHD11 mediated deglutarylation regulates the TCA cycle and T cell metabolism

Glutarate is an intermediate of amino acid catabolism and an important metabolite for reprogramming T cell immunity, exerting its effects by inhibition of histone demethylase enzymes or through glutarylation. However, how distinct glutarate modifications are regulated is unclear. Here, we uncover a deglutarylation pathway that couples amino acid catabolism to tricarboxylic acid (TCA) cycle function. By examining how glutarate can form conjugates with lipoate, an essential mitochondrial modification for the TCA cycle, we find that Alpha Beta Hydrolase Domain 11 (ABHD11) protects against the formation of glutaryl-lipoyl adducts. Mechanistically, ABHD11 acts as a thioesterase to selectively remove glutaryl adducts from lipoate, maintaining integrity of the TCA cycle. Functionally, ABHD11 influences the metabolic reprogramming of human T cells, increasing central memory T cell formation and attenuating oxidative phosphorylation. These results uncover ABHD11 as a selective deglutarylating enzyme and highlight that targeting ABHD11 offers a potential approach to metabolically reprogramme cytotoxic T cells.

cell biology↗

bioRxiv2024

A framework for quality control in quantitative proteomics

A thorough evaluation of the quality, reproducibility, and variability of bottom-up proteomics data is necessary at every stage of a workflow from planning to analysis. We share vignettes applying adaptable quality control (QC) measures to assess sample preparation, system function, and quantitative analysis. System suitability samples are repeatedly measured longitudinally with targeted methods, and we share examples where they are used on three instrument platforms to identify severe system failures and track function over months to years. Internal QCs incorporated at protein and peptide-level allow our team to assess sample preparation issues and to differentiate system failures from sample-specific issues. External QC samples prepared alongside our experimental samples are used to verify the consistency and quantitative potential of our results during batch correction and normalization before assessing biological phenotypes. We combine these controls with rapid analysis (Skyline), longitudinal QC metrics (AutoQC), and server-based data deposition (PanoramaWeb). We propose that this integrated approach to QC is a useful starting point for groups to facilitate rapid quality control assessment to ensure that valuable instrument time is used to collect the best quality data possible. Data are available on Panorama Public and on ProteomeXchange under the identifier PXD051318.

biochemistry↗

bioRxiv2023

A 2-Hydroxybutyrate-mediated feedback loop regulates muscular fatigue

The metabolite 2-hydroxybutyrate (2HB) is produced by skeletal muscle acutely during exercise and persists for several hours in the blood post-exertion. We show here that 2HB directly inhibits branched- chain aminotransferase enzymes, and that this inhibition in turn triggers a SIRT4-dependent shift in the compartmental abundance of protein ADP-ribosylation. The 2HB-induced decrease in nuclear protein ADP-ribosylation leads to a C/EBP{beta} mediated transcriptional response in the branched-chain amino acid degradation pathway. This response to 2HB exposure leads to an improved oxidative capacity both in vitro and in vivo, with the latter mimicking the effects of exercise training on whole body metabolism. Thus, we show here that 2-HB production by skeletal muscle represents a novel mechanism for the modification of metabolism by exercise.

physiology↗

bioRxiv2022

Glutarate regulates T cell function and metabolism

T cell function is influenced by several metabolites; some acting through enzymatic inhibition of -KG-dependent dioxygenases (KGDDs), others, through post-translational modification of lysines in important targets. We show here that glutarate, a product of amino acid catabolism, has the capacity to do both, with effects on T cell function and differentiation. Glutarate exerts those effects through KGDD inhibition and through direct regulation of T cell metabolism via post-translational modification of the pyruvate dehydrogenase E2 subunit. Diethyl-glutarate, a cell-permeable form of glutarate, alters CD8+ T cell differentiation and increases cytotoxicity against target cells. In vivo administration of the compound reduces tumor growth and is correlated with increased levels of both peripheral and intratumoral cytotoxic CD8+ T cells. These results demonstrate that glutarate regulates both T cell metabolism and differentiation, with a potential role in the improvement of T cell immunotherapy.

immunology↗

bioRxiv2022

The two enantiomers of 2-hydroxyglutarate differentially regulate cytotoxic T cell function

2-hydroxyglutarate (2HG) is a by-product of the TCA cycle, and is readily detected in the tissues of healthy individuals. 2HG is found in two enantiomeric forms: S-2HG and R-2HG. Here, we investigate the differential roles of these two enantiomers in CD8+ T cell biology, where we found they had highly divergent effects on proliferation, differentiation, and T cell function. We show here an analysis of structural determinants that likely underlie these differential effects on specific a-ketoglutarate (aKG)-dependent enzymes. Treatment of CD8+ T cells with exogenous S-2HG, but not R-2HG, increased CD8+ T cell fitness in vivo, and enhanced anti-tumour activity. These data show that S-2HG and R-2HG should be considered as two distinct and important actors in the regulation of T cell function.

immunology↗

bioRxiv2021

Stage-specific, morphological and molecular markers of encystation in Giardia lamblia

Differentiation into environmentally resistant cysts is required for transmission of the ubiquitous intestinal parasite Giardia lamblia. Encystation in Giardia requires the production, processing and transport of Cyst Wall Proteins (CWPs) in developmentally-induced, Golgi-like, Encystation Specific Vesicles (ESVs). Progress through this trafficking pathway can be followed by tracking CWP localization over time. However, there is no recognized system to distinguish the advancing stages of this process which can complete at variable rates depending how encystation is induced. Here we propose a staging system for encysting Giardia based on the morphology of CWP1-stained ESVs. We demonstrate the molecular distinctiveness of maturing ESVs at these stages by following GlRab GTPases through encystation. Previously, we established that Giardias sole Rho family GTPase, GlRac, associates with ESVs and has a role in regulating their maturation and the secretion of their cargo. As a proof of principle, we delineate the relationship between GlRac and ESV stages. Through proteomic studies, we identify putative interactors of GlRac that could be used as additional stage-specific ESV markers. This staging system provides a common descriptor of ESV maturation regardless of the source of encysting cells. Furthermore, the identified set of molecular markers for ESV stages will be a powerful tool for characterizing trafficking mutants that impair ESV maturation and morphology. ImportanceGiardiasis is a diarrheal disease that affects 280 million people worldwide. It is caused by Giardia lamblia, a protozoan parasite which rely on differentiating from host-dwelling trophozoites to environmentally-resistant cysts for transmission and survival. This encystation process requires the transport of Cyst Wall Proteins (1-3) within membrane-bound compartments called Encystation Specific Vesicles (ESV) from the endoplasmic reticulum to the surface of the cell. The whole process takes 24 hours to complete and these compartments are the only recognizable equivalent of Golgi apparatus in this minimalistic organism. Progress of this trafficking pathway can be followed by localizing Cyst Wall Protein 1 over time post induction of encystation but this can be ambiguous when specific molecular events need to be specified. Here we propose a staging system that is based on ESV morphology changes by capitalizing on the secretory/processing events we already know they represent. We validate the molecular distinctiveness of these stages by following Giardia Rabs through the pathway and characterize putative interactors of an established regulator of encystation, GlRac, to provide additional stage-specific molecular markers. This staging system will provide a definitive, yet adaptable, framework to map out functions of yet-to-be discovered players of this important pathway.

cell biology↗

bioRxiv2020

The first Antechinus reference genome provides a resource for investigating the genetic basis of semelparity and age-related neuropathologies

Antechinus are a genus of mouse-like marsupials that exhibit a rare reproductive strategy known as semelparity and also naturally develop age-related neuropathologies similar to those in humans. We provide the first annotated antechinus reference genome for the brown antechinus (Antechinus stuartii). The reference genome is 3.3Gb in size with a scaffold N50 of 73Mb and 93.3% complete mammalian BUSCOs. Using bioinformatic methods we assign scaffolds to chromosomes and identify 0.78Mb of Y-chromosome scaffolds. Comparative genomics revealed interesting expansions in the NMRK2 gene and the protocadherin gamma family, which have previously been associated with aging and age-related dementias respectively. Transcriptome data displayed expression of common Alzheimers related genes in the antechinus brain and highlight the potential of utilising the antechinus as a future disease model. The valuable genomic resources provided herein will enable future research to explore the genetic basis of semelparity and age-related processes in the antechinus.

genomics↗

bioRxiv2020

MICROVASCULAR ENDOTHELIAL CELL ADAPTATION TO HYPOXIA IS ORGAN-SPECIFIC AND CONDITIONED BY ENVIRONMENTAL OXYGEN

SO_SCPLOWUMMARYC_SCPLOWMicrovascular endothelial cells (MVEC) are plastic, versatile and highly responsive cells, with morphological and functional aspects that uniquely match the tissues they supply. The response of these cells to oxygen oscillations is an essential aspect of tissue homeostasis, and is finely tuned to maintain organ function during physiological and metabolic challenges. Primary MVEC from two continuous capillary networks with distinct organ microenvironments, those of the lung and brain, were pre-conditioned at normal atmospheric ([~] 21 %) and physiological (5 and 10 %) O2 levels, and subsequently used to compare organ-specific MVEC hypoxia response. Brain MVEC preferentially stabilise HIF-2 in response to hypoxia, whereas lung MVEC primarily accumulate HIF-1; however, this does not result in significant differences at the level of transcriptional activation of hypoxia-induced genes. Glycolytic activity is comparable between brain and lung endothelial cells, and is affected by oxygen pre-conditioning, while glucose uptake is not changed by oxygen pre-conditioning and is observed to be consistently higher in brain MVEC. Conversely, MVEC mitochondrial activity is organ-specific; brain MVEC maintain a higher relative mitochondrial spare capacity at 5% O2, but not following hyperoxic priming. If maintained at supra-physiological O2 levels, both MVEC fail to respond to hypoxia, and have severely compromised and delayed induction of the glycolytic shifts required for survival, an effect which is particularly pronounced in brain MVEC. Oxygen preconditioning also differentially shapes the composition of the mitochondrial electron transport chain (ETC) in the two MVEC populations. Lung MVEC primed at physioxia have lower levels of all ETC complexes compared to hyperoxia, an effect exacerbated by hypoxia. Conversely, brain MVEC expanded in physioxia display increased complex II (SDH) activity, which is further augmented during hypoxia. SDH activity in brain MVEC primed at 21 % O2 is ablated; upon hypoxia, this results in the accumulation of near-toxic levels of succinate in these cells. Our data suggests that, even though MVEC are primarily glycolytic, mitochondrial integrity in brain MVEC is essential for metabolic responses to hypoxia; these responses are compromised when cells are exposed to supra-physiological levels of oxygen. This work demonstrates that the study of MVEC in normal cell culture environments do not adequately represent physiological parameters found in situ, and show that the unique metabolism and function of organ-specific MVEC can be reprogrammed by external oxygen, significantly affecting the timing and degree of downstream responses. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=197 HEIGHT=200 SRC="FIGDIR/small/265926v1_ufig1.gif" ALT="Figure 1"> View larger version (48K): org.highwire.dtl.DTLVardef@6a8668org.highwire.dtl.DTLVardef@19e3f17org.highwire.dtl.DTLVardef@3fffd5org.highwire.dtl.DTLVardef@1b517da_HPS_FORMAT_FIGEXP M_FIG C_FIG In briefHypoxia sensing by microvascular endothelial cells (MVEC) is organ-specific, and efficacy of response is affected by external oxygen. While glycolytic capacity is mostly maintained in MVEC regardless of organ or origin, mitochondrial function is required for adequate sensing and timely metabolic shift to glycolysis. Hyperoxygenation of MVEC compromises mitochondrial function, glycolytic shift and survival to hypoxia. HighlightsO_LIEnvironmental O2 influences MVEC hypoxia response in an organ-specific fashion C_LIO_LIBrain MVEC are unable to respond and survive to hypoxia if hyperoxygenated prior to stress C_LIO_LIMVEC glycolytic capacity is not affected by O2, but the increase in glucose uptake and shift to glycolytic metabolism stifled and delayed in hyperoxidized MVEC C_LIO_LIHigh O2 ablates activity of mitochondria complex II in brain MVEC, significantly disturbing succinate levels Disruption of mitochondrial integrity compromises hypoxia sensing irrespective of glycolytic capacity C_LI

cell biology↗

bioRxiv2020

Modified HIF expression in CD8+ T cells increases anti-tumor efficacy

Adoptive transfer of anti-tumor cytotoxic T cells is a novel form of cancer immunotherapy, and a key challenge is to ensure the survival and function of the transferred T cells. Immune cell survival requires adaptation to different micro-environments, and particularly to the hypoxic milieu of solid tumors. The HIF transcription factors are an essential aspect of this adaptation, and we undertook experiments to define structural determinants of HIF that would potentiate anti-tumor efficacy in cytotoxic T cells. We created retroviral vectors to deliver ectopic expression of HIF-1ɑ and HIF-2ɑ in mouse CD8+ T cells, together or individually, and with or without sensitivity to their oxygen-dependent inhibitors Von Hippel-Lindau (VHL) and Factor Inhibiting HIF (FIH). We found that HIF-2ɑ, but not HIF-1ɑ, drives broad transcriptional changes in CD8+ T cells, resulting in increased cytotoxic differentiation and cytolytic function against tumor targets. We further found that a specific mutation replacing the hydroxyl group acceptor site for FIH in the HIF-2ɑ isoform gives rise to the most effective anti-tumor T cells after adoptive transfer in vivo. Lastly, we show that co-delivering an FIH-insensitive form of HIF-2ɑ with an anti-CD19 chimeric antigen receptor greatly enhances cytolytic function of human CD8+ T cells against lymphoma cells. These experiments provide a means to increase the anti-tumor efficacy of therapeutic CD8+ T cells via ectopic expression of the HIF transcription factor.Competing Interest StatementThe authors have declared no competing interest.View Full Text

immunology↗

bioRxiv2017

Time-resolved Interaction Proteomics of the Putative Scaffold Protein GIGANTEA in Arabidopsis thaliana

The large, plant-specific protein GIGANTEA (GI) is involved in many physiological processes, mediating rhythmic, post-translational regulation in part through circadian and light regulation of GI RNA expression. GI binds several proteins implicated in the circadian clock, the control of photoperiodic flowering, and abiotic stress responses, and has co-chaperone activity. By extension, further interaction partners might mediate the less well-understood roles of GI but the number and rhythmicity of these interactors is unknown. Here, we seek potential interactors in a time-specific manner, using quantitative proteomics from a time series study of transgenic Arabidopsis thaliana plants constitutively expressing an epitope-tagged GI protein. Previously-identified, direct and indirect interactors of GI were detected but no further F-box proteins related to known GI partners ZTL/FKF1/LKP2. The predominantly non-rhythmic, interacting proteins were implicated in protein folding or degradation, metabolism and chromatin modification, including a small set of partners shared with other clock-related proteins. A transcription factor homologue that we name CYCLING DOF FACTOR 6 (CDF6) was shown to interact both with GI and the ZTL/FKF1/LKP2 proteins and to control photoperiodic flowering. Our results indicate the biochemical pathways, beyond circadian and flowering regulation, that might be affected by GIGANTEAs rhythmic, post-translational control.\n\nSignificance StatementSignificance statement of up to two sentences of no more than 75 words total;\n\nThe GIGANTEA protein of Arabidopsis was known for circadian and flowering functions, mediated by the FKF1/LKP2/ZTL family of GI-interacting, F-box proteins, then for a co-chaperone activity of unknown scope. We performed time-resolved, interaction proteomics, identifying CDF6 (At1g26790) as a morning-specific GI interactor that controls flowering time. Unlike FKF1 and CDF proteins, most of the 240 candidate partners were not rhythmically enriched. They link GI to proteostasis and metabolic functions that might mediate GIs physiological functions.

plant biology↗

bioRxiv2017

Specter: linear deconvolution as a new paradigm for targeted analysis of data-independent acquisition mass spectrometry proteomics

Mass spectrometry with data-independent acquisition (DIA) has emerged as a promising method to greatly improve the comprehensiveness and reproducibility of targeted and discovery proteomics, in theory systematically measuring all peptide precursors within a biological sample. Despite the technical maturity of DIA, the analytical challenges involved in discriminating between peptides with similar sequences in convoluted spectra have limited its applicability in important cases, such as the detection of single-nucleotide polymorphisms and alternative site localizations in phosphoproteomics data. We have developed Specter, an open-source software tool that uses linear algebra to deconvolute DIA mixture spectra directly in terms of a spectral library, circumventing the problems associated with typical fragment correlation-based approaches. We validate the sensitivity of Specter and its performance relative to other methods by means of several complex datasets, and show that Specter is able to successfully analyze cases involving highly similar peptides that are typically challenging for DIA analysis methods.

bioinformatics↗