Biology subjects

Reddy, A.

Publications and source records attributed to Reddy, A..

At least 19 recordsLinked to original sources

bioRxiv2026

Functional Divergence in Gut Clostridia from Hadza Hunter-Gatherers Reveals Diet-Adapted Metabolic Machinery That Shapes Gut Ecology

Lifestyle changes associated with industrialization, including shifts in diet, are linked to extensive remodeling of the human gut microbiome. Investigating the gut microbiomes of traditional populations living non-industrialized lifestyles, such as the Hadza hunter-gatherers of Tanzania, therefore offers insight into bacterial taxa and functions depleted in industrialized microbiomes. Despite pronounced compositional differences that correspond to lifestyle, many commensal gut species are shared between industrialized and non-industrialized populations, raising a fundamental question of whether and how their functional repertoires diverge across contrasting gut environments. Here, by integrating strain-resolved metagenomics with culturomics and in vivo models, we identify phylogenetic and functional divergence within prevalent gut species shared between Hadza and industrialized populations, particularly among members of the Clostridia class. Dorea longicatena, prevalent across diverse human populations independent of lifestyle, is a poorly characterized member of Clostridia. Using strains of this D. longicatena isolated from either Hadza or industrialized human stool samples we uncover metabolic pathways selectively enriched in Hadza strains, including machinery for utilizing plant-derived pectic polysaccharides. We further demonstrate that this Hadza-enriched polysaccharide-utilization machinery can be leveraged with its cognate dietary substrate to promote D. longicatena colonization within a model industrialized microbiota, reshaping intestinal and portal-vein metabolite profiles. Together, our findings reveal substantial functional divergence within gut bacterial species shared across lifestyles, providing a framework for identifying diet-responsive strains and pathways that may complement ecological and metabolic functions underrepresented in industrialized microbiotas.

microbiology↗

bioRxiv2026

A quantitative redox proteome of the human muscle response to exercise

Reactive oxygen species (ROS) regulate protein function through reversible cysteine oxidation. In human skeletal muscle, exercise-induced ROS initiates adaptations such as mitochondrial biogenesis, increased insulin sensitivity, and hypertrophy. However, specific protein targets of ROS regulation during exercise remain unclear owing to longstanding challenges in analyzing redox proteomes in vivo. We applied cysteine derivatization and multiplexed proteomics to map muscle protein cysteine oxidation in humans during exercise. The OxiMuscle dataset quantifies reversible modifications across 9,177 unique cysteine sites on 2,782 proteins, comprising 17,492 individual cysteine site measurements in young men undergoing three types of exercise, providing the first comprehensive, site-resolved and quantitative analysis of the exercise-regulated redox cysteine proteome in humans. We systematically define cysteine oxidation targets regulated by at least one form of exercise, many of which reside in proteins with established roles in muscle physiology. Among these sites is a redox-regulated cysteine on the autophagy receptor protein p62. We demonstrate that reversible oxidation of this cysteine regulates p62-mediated autophagy upon myotube contraction and mouse muscle adaptation to exercise in vivo. Together, these results define a redox-driven mechanism linking exercise-induced autophagy to muscle adaptation. More broadly, our findings offer a comprehensive resource on redox-signaling networks in human muscle, accessible at http://oximuscle-alb-1899330623.us-east-1.elb.amazonaws.com/.

cell biology↗

bioRxiv2026

Leishmania guyanensis controls endogenous viral replication by a canonical RNA interference pathway

Protistan parasites of the genus Leishmania, infamous human and animal pathogens, can themselves be infected by endosymbiotic viruses, exemplified by Leishmania RNA viruses (LRVs). These viruses affect immune responses in vertebrate hosts and have been associated with adverse treatment outcomes. How parasites control replication of these viruses is not known. Intriguingly, functional RNA interference (RNAi) pathways that have been associated with antiviral responses across eukaryotes, are retained only in some Leishmania spp., including those of the subgenus Viannia. Here, we investigated effectors in the canonical RNAi response and the Piwi protein of the human pathogen L. (Viannia) guyanensis by gene ablation and identified Dicer-like 1 and Argonaute 1 proteins of the canonical RNAi pathway as critical for controlling viral RNA levels. Notably, we characterized virus-derived small interfering RNA (vsiRNA) levels and their unique properties including terminal modifications as well as, unusual for canonical Dicer cleavage, predominant perfectly matching sequence overlaps in blunt ended vsiRNA duplexes. Taken together, the data suggests that control of viral replication is directly mediated by the canonical RNAi response. This study opens the door to further investigations of antiviral RNAi in other protistan parasites and suggests that, where present, canonical RNAi is critical for such activities. Author summaryLeishmania parasites of humans and animals harbor endosymbiotic viruses, which, in some cases, have been shown to affect vertebrate immune responses and impact treatment. Thus, understanding how viral levels are controlled is critical to identify antiviral effectors, which, in turn, will allow studies on how viral levels impact parasite biology. Here, we investigated RNA interference pathways against its virus of the family Pseudototiviridae in a New World human pathogen L. guyanensis. To do that, we have produced and analyzed genetic knockouts of Dicer-like and Argonaute proteins involved in antiviral small RNA response. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=78 SRC="FIGDIR/small/743808v1_ufig1.gif" ALT="Figure 1"> View larger version (21K): org.highwire.dtl.DTLVardef@939de9org.highwire.dtl.DTLVardef@1643cb4org.highwire.dtl.DTLVardef@1cd6be2org.highwire.dtl.DTLVardef@165dbf9_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

bioRxiv2026

Fermentation-Derived Metabolites Shape Host Biology to Attenuate Severity of Inflammatory and Metabolic Disease

Fermented foods are among the few dietary interventions shown to increase gut microbiome diversity and reduce systemic inflammation in healthy adults, yet the underlying mechanisms remain poorly defined. Metabolites produced during food fermentation, termed fermentation-derived metabolites (FDMs), represent a largely uncharacterized pool of bioactive compounds that may directly mediate the physiological effects of fermented food consumption. Here, we characterize the metabolite landscape of ten vegetable-based fermented foods using metabolomics, identifying conserved enrichment of aromatic and branched-chain amino acid derivatives across diverse substrates. Using sauerkraut as a chemically representative model system, we show that metabolite extracts from wild green sauerkraut (wGS-FDMs) remodel intestinal and systemic immune populations and shift gut microbiome composition in healthy mice. wGS-FDMs suppressed NF-{kappa}B activation and pro-inflammatory cytokine secretion in vitro and decreased colitis severity in vivo. In a chronic high-fat diet model, wGS-FDMs attenuated weight gain and improved glucose and insulin tolerance, consistent with stimulation of GLP-1 secretion in vitro. Collectively, these findings establish FDMs as biologically potent dietary components capable of simultaneously modulating immune, microbial, and metabolic homeostasis across multiple physiological systems, positioning metabolites from fermented foods as an important and underappreciated class of dietary effectors in the context of chronic disease.

microbiology↗

bioRxiv2026

Not All Predictors Of RCC Clusters Are The Same: An individual sample predictive model to classify patients with metastatic renal cell carcinoma

Clear cell renal cell carcinoma (RCC) patients have multiple approved therapies, including anti-angiogenesis tyrosine kinase inhibitors (TKIs) and immuno-oncology therapies (IO), but lack a clinically validated biomarker. Using RNAseq data from the IMmotion 151 clinical trial (IM151)1-3, 7 RCC biologic clusters have been defined3. Several groups have attempted to predict these clusters on various RCC datasets4,5 with negative results, suggesting that the association with therapy response from IM151 could not be reproduced. We hypothesized that the specific approaches used to generate cluster predictions led to the misinterpretation of findings. Both published models used standardization (z-scores) to normalize the data within their patient cohorts, imposing an expected gene expression distribution in which [~]50% of patients have apparently higher-than-average expression, artificially impacting the proportion of cluster assignments and leading to potential misclassification. We developed a machine learning (ML) model, IRIS-RCC (Individual RNA-seq Intrinsic Subtyping for RCC), to predict treatment (TKI vs. IO) for patients using an individual-sample model using the IM151 trial (N=823) and validated the model on the JAVELIN Renal 101 trial (JR101; N=726)3,6. Our method normalizes gene expression within a given sample using ratiometric expression. This method results in different cluster assignments for individual tumors and distinct clinical correlations. An additional advantage of individual-sample predictions is that they can be readily applied in a prospective setting, where patients must be classified one at a time. IRIS-RCC is currently being validated in a prospective biomarker-driven Phase II clinical trial (OPTIC RCC).

Cancer Biology↗

bioRxiv2026

Deep-Plant: a supervised foundation model for plant regulatory genomics

Large-scale sequence-to-function deep learning models have demonstrated unparalleled ability to model biological sequences and have revolutionized the field of regulatory genomics. However, the majority of such efforts have centered on human and mammalian systems, leaving plant regulatory genomics comparatively underexplored. To address this gap, we introduce DO_SCPLOWEEPC_SCPLOW-PO_SCPLOWLANTC_SCPLOW, a supervised foundation model trained to predict chromatin state directly from genomic sequence. In contrast to large language models, which are trained in a selfsupervised manner using sequence alone, our model is trained to predict chromatin state across tissues and conditions. Training the model on a large collection of genome-wide experiments including DNA accessibility, transcription factor binding, and histone modifications, provides it with added biological context beyond the sequence itself. We demonstrate that the resulting model is an effective platform for developing accurate models of regulatory activity relevant to gene expression and active enhancers, exhibiting large improvements in speed, accuracy, and interpretability over the complementary approach of fine-tuning DNA language models. DO_SCPLOWEEPC_SCPLOW-PO_SCPLOWLANTC_SCPLOW models are available in Arabidopsis and rice, and work well as a building block for sequence modeling in related species such as corn. Together, these results establish supervised, chromatin-informed foundation models as a practical and effective paradigm for regulatory sequence modeling in plants.

genomics↗

bioRxiv2026

Identification of clofibric acid as a SYVN1 ligand for PROTAC development

Targeted protein degradation (TPD) is an emerging therapeutic modality for numerous diseases. PROteolysis-TArgeting Chimeras (PROTACs) represent a potentially generalizable strategy to achieve TPD. A PROTAC is composed of a ligand for a protein of interest, a linker and a ligand for E3 ligase. As such, PROTACs can bring the E3 ligase into the close proximity of a protein target leading to polyubiquitination followed by target protein degradation. While the human genome encodes over 600 E3 ligases, only a handful of them have been harnessed for developing PROTACs. In order to expand the repertoire of E3 ligases for PROTAC development, we developed clickable photoaffinity probes based on clinically used drugs and metabolites to identify potential E3 ligases as the targets. In this paper, we report the discovery of clofibric acid with a molecular weight of only 214 Daltons as a ligand for synoviolin (SYVN1). We demonstrate its utility by developing clofibric acid-based BRD4 PROTACs. The linker length and architecture play a critical role in target degradation efficiency. The clofibric acid-derived BRD4 PROTACs achieve selective BRD4 degradation in a SYVN1-dependent manner. Our findings establish clofibric acid as a robust addition to the TPD toolbox, offering a novel E3 ligase recruitment strategy for the development of next-generation degraders. TOC Graphics O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=90 SRC="FIGDIR/small/701774v1_ufig1.gif" ALT="Figure 1"> View larger version (15K): org.highwire.dtl.DTLVardef@776850org.highwire.dtl.DTLVardef@1616bd0org.highwire.dtl.DTLVardef@ed3e03org.highwire.dtl.DTLVardef@18271e7_HPS_FORMAT_FIGEXP M_FIG C_FIG

pharmacology and toxicology↗

bioRxiv2025

GNL3 SUMOylation is essential for DNA double-strand break repair by homologous recombination

DNA double-strand break (DSB) repair via homologous recombination (HR) is critical for maintaining genomic integrity and requires proper DNA end resection to generate single-stranded DNA (ssDNA) overhangs. However, the mechanisms governing this critical step in cells remains poorly understood. Here, we report that GNL3, a nucleolar GTP-binding protein, plays a key role in HR repair via regulating DNA end resection dependently on its SUMOylation. Ectopic expression of wild-type, but not the SUMO-defective K196R mutant, GNL3 completely abolished DNA damage response induced by knockdown of endogenous GNL3. GNL3 interacts with the BLM-DNA2 helicase-nuclease complex and is critical for DNA end resection and subsequent loading of RPA and RAD51. This interaction requires SUMOylation and SUMO-interacting motifs (SIMs) in both proteins. We further demonstrate that USP36, a nucleolar deubiquitinating enzyme, functions as a novel SUMO ligase for GNL3, while the SUMO protease SENP3 deSUMOylates GNL3. Notably, several breast cancer-derived GNL3 variants that disrupt its SUMOylation or SIM fail to interact with the BLM-DNA2 complex. Knockdown of GNL3 sensitizes HR-proficient breast cancer cells to etoposide or Olaparib treatment. Together, our results reveal that GNL3 SUMOylation is crucial for HR repair and suggest that targeting GNL3 SUMOylation may induce HR deficiency, thereby sensitizing breast cancers to DNA damage-inducing agents.

cell biology↗

bioRxiv2025

Development of a Clinically Relevant Rabbit Model of Acute Laryngeal Injury

ObjectivesAcute Laryngeal Injury (ALgI) is created as a result of endotracheal tube pressure ulcer formation leading to fibrosis and inflammation. This condition often leads to airway obstruction and voice and swallowing dysfunction. This study demonstrates a reliable animal model of ALgI to reproduce the acute wound process seen clinically, to explore the pathophysiology of this disease process, and serve as a reproducible injury suitable for the evaluation of therapeutic interventions. MethodsAn ALgI model was developed in New Zealand White rabbits using precise mucosal stripping of the posterior larynx, followed by intubation with an oversized 4.0 endotracheal tube for one hour to mimic intubation-associated trauma and pressure ischemia. Laryngoscopy and laryngeal harvest were performed two weeks post-injury for histologic and immunofluorescent evaluation. ResultsInjured rabbits demonstrated an eight-fold increase in posterior glottic thickness (1.57mm vs. 0.19mm in controls; p=0.0004) and eleven-fold increase in collagen content (1.93mm2 vs. 0.17mm2; p=0.005). Collagen subtype analysis revealed a shift toward active collagen within the injured larynx compared to the uninjured, with increased type III collagen (69.0%% vs. 26.1%; p<0.0001) and reduced type I collagen (27.2% vs. 73.9%; p<0.0001) in the posterior glottis, consistent with the proliferative phase of wound healing. Collagen fiber alignment analysis demonstrated increased coherency in injured tissues (0.36 vs. 0.21; p=0.023), indicating early organized collagen formation consistent with scar formation within the posterior glottis. ConclusionsThe model offers a robust platform for studying the acute pathogenesis of laryngeal injury and for testing the treatment options in the management of ALgI. Level of EvidenceLevel III

bioengineering↗

bioRxiv2024

Directed assembly of single-stranded DNA fragments for data storage via enzyme-free catalytic splint ligation

Oligonucleotides or gene fragments can be ligated in a specified order to create longer DNA assemblies. We present a method where DNA symbols, or oligos designed to encode information for data storage, are joined to linker sequences at either end. These linkers dictate the assembly order of the symbols; the order of the symbols can be changed by changing the sequences of the linkers attached to them. Utilizing a ligating DNAzyme as a catalytic splint, we achieve room-temperature, enzyme-free assembly, offering a cost-effective alternative to traditional enzyme-based ligation methods. We demonstrate this technique by assembling three different five-symbol constructs, with the order of the symbols determined by their linking ends. This linker directed assembly technique allows data-encoding symbols to be assembled in any desired order. Furthermore, the DNAzyme-based assembly method is versatile and can be applied to various DNA assembly applications, particularly where cost-effectiveness and efficient room-temperature ligation are required.

synthetic biology↗

bioRxiv2023

Effects of sampling methodology on phenology indices: insights from sites across India and modelling

Plant phenology is the study of timing and extent of leaf, flower, and fruit production. Phenology data are used to study drivers of cyclicity and seasonality of plant life-history stages, interactions with organisms such as pollinators, and effects of global change factors. Indices such as timing of phenological events, proportion of individuals in a particular phenophase, seasonality, and synchrony have often been used to summarise plant phenology data. However, these indices have specific utilities and limitations and may be sensitive to sampling methodology, making cross-site comparisons challenging, particularly when data collection methods vary in terms of sample size, observation frequency, and the resolution at which phenophase intensity scores/values are recorded. We use fruiting phenology data from tropical trees across five sites in India to study the effects of sampling methodology on two indices: an index of population-level synchrony (overlap), and an index of seasonality. We supplement these results with simulations of fast- and slow-changing phenologies to test for the effects of sampling methodology on these indices. We found that the overlap index is sensitive to the phenophase intensity measurement resolution--with coarser intensity measures leading to overestimation of the overlap index. The seasonality index, on the other hand, was not affected by intensity resolution. Simulations indicated that finer intensity resolution is more important than frequency of observation to accurately estimate population synchrony and seasonality for fast- and slow-changing phenophases. Based on our findings, we provide recommendations for study design of future tropical tree phenology research, particularly for long-term or cross-site studies.

ecology↗

bioRxiv2023

Piezo1 agonist restores meningeal lymphatic vessels, drainage, and brain-CSF perfusion in craniosynostosis and aged mice

Skull development coincides with the onset of cerebrospinal fluid (CSF) circulation, brain-CSF perfusion, and meningeal lymphangiogenesis, processes essential for brain waste clearance. How these processes are affected by craniofacial disorders such as craniosynostosis are poorly understood. We report that raised intracranial pressure and diminished CSF flow in craniosynostosis mouse models associates with pathological changes to meningeal lymphatic vessels that affect their sprouting, expansion, and long-term maintenance. We also show that craniosynostosis affects CSF circulatory pathways and perfusion into the brain. Further, craniosynostosis exacerbates amyloid pathology and plaque buildup in Twist1+/-:5xFAD transgenic Alzheimers disease models. Treating craniosynostosis mice with Yoda1, a small molecule agonist for Piezo1, reduces intracranial pressure and improves CSF flow, in addition to restoring meningeal lymphangiogenesis, drainage to the deep cervical lymph nodes, and brain-CSF perfusion. Leveraging these findings, we show Yoda1 treatments in aged mice with reduced CSF flow and turnover improve lymphatic networks, drainage, and brain-CSF perfusion. Our results suggest CSF provides mechanical force to facilitate meningeal lymphatic growth and maintenance. Additionally, applying Yoda1 agonist in conditions with raised intracranial pressure and/or diminished CSF flow, as seen in craniosynostosis or with ageing, is a possible therapeutic option to help restore meningeal lymphatic networks and brain-CSF perfusion.

neuroscience↗

bioRxiv2023

Monocarboxylate transporters facilitate succinate uptake into brown adipocytes

Uptake of circulating succinate by brown adipose tissue (BAT) and beige fat elevates whole body energy expenditure, counteracts obesity, and antagonizes systemic tissue inflammation in mice. The plasma membrane transporters that facilitate succinate uptake in these adipocytes remain undefined. Here we elucidate a mechanism underlying succinate import into BAT via monocarboxylate transporters (MCTs). We show that succinate transport is strongly dependent on the proportion of it present in the monocarboxylate form. MCTs facilitate monocarboxylate succinate uptake, which is promoted by alkalinization of the cytosol driven by adrenoreceptor stimulation. In brown adipocytes, we show that MCT1 primarily facilitates succinate import, however other members of the MCT family can partially compensate and fulfill this role in the absence of MCT1. In mice, we show that acute pharmacological inhibition of MCT1 and 2 decreases succinate uptake into BAT. Conversely, congenital genetic depletion of MCT1 alone has little effect on BAT succinate uptake, indicative of additional transport mechanisms with high capacity in vivo. In sum, we define a mechanism of succinate uptake in BAT that underlies its protective activity in mouse models of metabolic disease.

cell biology↗

bioRxiv2023

Loss of PTPMT1 limits mitochondrial utilization of carbohydrates and leads to muscle atrophy and heart failure

While mitochondria in different tissues have distinct preferences for energy sources, they are flexible in utilizing competing substrates for metabolism according to physiological and nutritional circumstances. However, the regulatory mechanisms and significance of metabolic flexibility are not completely understood. Here we report that the deletion of PTPMT1, a mitochondria-based phosphatase, critically alters mitochondrial fuel selection - the utilization of pyruvate, a key mitochondrial substrate derived from glucose (the major simple carbohydrate), is inhibited, whereas the fatty acid utilization is enhanced. PTPMT1 knockout does not impact the development of the skeletal muscle or heart. However, the metabolic inflexibility ultimately leads to muscular atrophy, heart failure, and sudden death. Mechanistic analyses reveal that the prolonged substrate shift from carbohydrates to lipids causes oxidative stress and mitochondrial destruction, which in turn results in marked accumulation of lipids and profound damage in the knockout muscle cells and cardiomyocytes. Interestingly, PTPMT1 deletion from the liver or adipose tissue does not generate any local or systemic defects. These findings suggest that PTPMT1 plays an important role in maintaining mitochondrial flexibility and that their balanced utilization of carbohydrates and lipids is essential for both the skeletal muscle and the heart despite the two tissues having different preferred energy sources.

cell biology↗

bioRxiv2022

Nutraceutical supplement targeting multiple molecular steps synergistically enhances muscle glucose uptake and improves in vivo oral glucose disposal

Pre diabetes and type 2 diabetes are increasingly becoming rampant world wide. While there are medications to control blood glucose in type 2 diabetics, currently there are no interventions prescribed for pre diabetes. Alternate strategies to control blood glucose are needed either to act alone in pre diabetes or as supplement to the existing drugs for type 2 diabetes. We report here the targeting of critical molecular steps in muscle glucose uptake and metabolism to result in glucose lowering using a combination of safe vitamins. Our in vitro and in vivo data support the potential for using such vitamin combination for glucose control in pre diabetes and as a supplement in type 2 diabetics.

pharmacology and toxicology↗

bioRxiv2022

Differential Activity of Repurposed Drugs as Receptor Binding Domain Antagonists for Omicron and Native Strains of SarsCov2

Omicron strain is the latest variant of concern of SarsCov2 virus. The mutations in this strain in the S protein Receptor Binding domain (RBD) enable it to be more transmissible as well as escape neutralizing activity by antibodies in response to vaccine. Thus, Omicron specific strategies are need to counter infection by this strain. We investigated a collection of approved drugs shown to antagonize the binding of native strain RBD to human ACE2, for their ability to antagonize binding to Omicron strain RBD. While most of the drugs the drugs that antagonize binding to native RBD are also active for Omicron RBD but some were inactive, namely drugs that contain iodine are completely inactive against Omicron RBD. Our data strongly indicate that presence of a single iodine molecule in the drug renders it inactive against Omicron strain. Thus, there is molecular specificity of drugs for antagonizing Omicron strain RBD versus native strain RBD of this virus. Such information will pave way for specific drugs for Omicron. A pragmatic message from our data is that the often-used iodine containing mouth wash and rises may be ineffective in antagonizing receptor binding of Omicron strain.

pharmacology and toxicology↗

bioRxiv2021

Mitophagy enhancers against phosphorylated Tau-induced mitochondrial and synaptic toxicities in Alzheimer disease

The purpose of our study is to determine the protective effects of mitophagy enhancers against phosphorylated tau (P-tau)-induced mitochondrial and synaptic toxicities in Alzheimers disease (AD). Mitochondrial abnormalities, including defective mitochondrial dynamics, biogenesis, axonal transport and impaired clearance of dead mitochondria are linked to P-tau in AD. Mitophagy enhancers are potential therapeutic candidates to clear dead mitochondria and improve synaptic and cognitive functions in AD. We recently optimized the doses of mitophagy enhancers urolithin A, actinonin, tomatidine, nicotinamide riboside in immortalized mouse primary hippocampal (HT22) neurons. In the current study, we treated mutant Tau expressed in HT22 (mTau-HT22) cells with mitophagy enhancers and assessed mRNA and protein levels of mitochondrial/synaptic genes, cell survival and mitochondrial respiration. We also assessed mitochondrial morphology in mTau-HT22 cells treated and untreated with mitophagy enhancers. Mutant Tau-HT22 cells showed increased fission, decreased fusion, synaptic & mitophagy genes, reduced cell survival and defective mitochondrial respiration. However, these events were reversed in mitophagy enhancers treated mTau-HT22 cells. Cell survival was increased, mRNA and protein levels of mitochondrial fusion, synaptic and mitophagy genes were increased, and mitochondrial fragmentation is reduced in mitophagy enhancers treated mTau-HT22 cells. Further, urolithin A showed strongest protective effects among all enhancers tested in AD. Our combination treatments of urolithin A + EGCG, addition to urolithin A and EGCG individual treatment revealed that combination treatments approach is even stronger than urolithin A treatment. Based on these findings, we cautiously propose that mitophagy enhancers are promising therapeutic drugs to treat mitophagy in patients with AD.

neuroscience↗

bioRxiv2020

SETD2 regulates the methylation of translation elongation factor eEF1A1 in clear cell renal cell carcinoma

SET domain-containing protein 2 (SETD2) is commonly mutated in renal cell carcinoma. SETD2 methylates histone H3 as well as a growing list of non-histone proteins. To explore SETD2-dependent regulation of the kidney cancer proteome, we performed a systems-wide analysis of protein lysine-methylation and expression in wild type (WT) and SETD2-knock out (KO) kidney cells. We observed decreased lysine methylation of the translation elongation factor eEF1A1. EEF1AKMT2 and EEF1AKMT3 are known to methylate eEF1A1, and we show here that their expression is dependent on SET-domain function of SETD2. Globally, we observe differential expression of hundreds of proteins in WT versus SETD2-KO cells, including increased expression of many involved in protein translation. Finally, we observe decreased progression free survival and loss of EEF1AKMT2 gene expression in SETD2-mutated tumors. Overall, these data suggest that SETD2-mutated ccRCC, via loss of enzymetic function of the SET domain, displays dysregulation of protein translation as a potentially important component of the transformed phenotype.

cancer biology↗