bioRxiv Science⌕ Search

Biology subjects

Gupta, V.

Publications and source records attributed to Gupta, V..

At least 37 records · Page 2Linked to original sources

PRMT5 activity sustains histone production to maintain genome integrity

Histone proteins package DNA into nucleosomes, forming chromatin and thereby safeguarding genome integrity. Proper histone expression is essential for cell proliferation and chromatin organization, yet the upstream regulators of histone supply remain incompletely understood. PRMT5--a cell essential type II protein arginine methyltransferase frequently overexpressed in cancer--catalyzes symmetric dimethylation of arginine residues. Using time-resolved nascent transcriptional profiling, quantitative proteomics, and imaging, we show that PRMT5 activity is required to sustain histone transcription and histone protein synthesis during S phase. PRMT5 inhibition or knockdown leads to rapid histone mRNA depletion, loss of histone proteins, and accumulation of replicationassociated nuclear abnormalities. We further show that soluble histone H4 accumulates at histone locus bodies (HLBs) upon PRMT5 inhibition, and that PRMT5-substrate H4 Arginine 3 mutants localize more robustly to HLBs than do wildtype H4. These findings support a model in which PRMT5-mediated methylation of histone H4 regulates histone transcription. Our findings establish PRMT5 as a central coordinator of histone homeostasis and provide a mechanistic rationale for its essential role in proliferating cells.

cell biology↗

Immunoinformatic Designing and Evaluation of a Broad-Spectrum Multiepitope Vaccine Against MDR Acinetobacter baumannii, Klebsiella pneumoniae and Pseudomonas aeruginosa

Acinetobacter baumannii, Klebsiella pneumoniae and Pseudomonas aeruginosa are among the multidrug-resistant (MDR) Gram-negative pathogens that pose a growing threat, necessitating novel preventive measures in addition to traditional antibiotics. By using advanced immunoinformatics methods, highly conserved and immunogenic epitopes for B-cells and T-cells were selected from major virulence-associated proteins (LptE, YiaD, MrkD, PhoE, OprF, and Zot), which exhibited high antigenicity (VaxiJen scores 0.74-2.75) and 98.87% global population coverage. The construct vaccine comprises 50S ribosomal protein L7/L12 adjuvant and PADRE sequence for immunogenicity enhancement, with structural validation indicating stability (96.3% residues in the total allowed Ramachandran regions). High-affinity interactions with TLR2/TLR4 (binding energies: -1009.6 to -1079.6 kcal/mol) were found through molecular docking, and immune simulations suggested strong humoral (IgM/IgG) and cellular (IFN-{gamma}/IL-12) responses. Importantly, MEP vaccines can overcome major drawbacks of traditional vaccines by (1) offering cross-strain protection via conserved epitopes, (2) lowering the need for antibiotics through infection prevention, and (3) providing affordable options for healthcare systems affected by MDR infections. These findings demonstrate the MEP constructs potential as a preventative measure against nosocomial infections, which may have implications for combating the global AMR epidemic. Further experimental validation is needed to verify its efficacy.

immunology↗

U2-2 snRNA Mutations Alter the Transcriptome

Intron removal from pre-mRNA is catalyzed by the spliceosome, which comprises 5 snRNPs containing small nuclear RNAs (snRNAs). U2 snRNA makes critical RNA-RNA and RNA-protein contacts throughout the splicing cycle. Mutations in U2 snRNA, particularly at position C28, have been linked to cancers. To study gene expression changes mediated by mutated U2 snRNAs, U2-2 C28 mutants, U2-2 knockout (KO), and U2-2 overexpression (OE) cell lines were constructed followed by RNA sequencing. We observed significant changes in splicing and over 4,000 differentially expressed genes enriched in pathways like RNA processing and non-coding RNAs upon knocking out U2-2 snRNA. Splicing patterns were more influenced by U2-2 dosage than mutations alone. Therefore, the mutant exhibits a compound phenotype, resulting from reduced U2-2 levels (and thus mostly phenocopying the KO) and additional mutant-specific splicing changes. HIGHLIGHTSO_LIU2-2 snRNA BSL mutants alter splicing and the transcriptome C_LIO_LIU2-2 KO phenocopies most altered splice events in the mutants C_LIO_LIBoth U2-2 levels and mutations alter splicing C_LIO_LIMany altered splice events lead to NMD C_LI

molecular biology↗

State or personality trait: Determinants of boldness and shoal size preference in adult zebrafish

Animals adjust their behavior in response to physiological states to optimize the trade-off between energy acquisition and survival. A key question in animal personality research is whether behavioral variation is driven by consistent physiological state differences or stable personality traits. This study evaluates boldness and shoal size discrimination in adult male zebrafish (Danio rerio) across three hunger states: same-day feeding (H0), 24-hour food deprivation (H1), and 48-hour food deprivation (H2). Behavioral assessments were conducted over two testing cycles, with each individual undergoing every test twice for each hunger state within each cycle. The assays comprised the Open Field Test (OFT), Emergence Test (ET), and Social Preference Test (SPT), with the SPT conducted under binary (4 vs. 2 fish) and ternary (4 vs. 2 vs. 1 fish) choice conditions. Hunger significantly reduced emergence latency, but did not affect exploratory behavior in the OFT. Hunger also enhanced preference for larger shoals above chance in the binary SPT during the second testing cycle, though this effect was absent in ternary choices. Testing cycle effects revealed habituation-driven increases in boldness in both the tests and a progressive shift toward larger shoal preferences in the binary SPT. Among all assays, only the OFT showed significant repeatability, making it a reliable measure of boldness. However, it did not show consistent individual differences in plasticity due to hunger. These results highlight the crucial role of labile physiological states, such as hunger and habituation, in driving behavioral variation and underscore the importance of designing studies that disentangle state-dependent behaviors from stable personality traits in animal personality research.

animal behavior and cognition↗

Language model-guided anticipation and discovery of unknown metabolites

Despite decades of study, large parts of the mammalian metabolome remain unexplored. Mass spectrometry-based metabolomics routinely detects thousands of small molecule-associated peaks within human tissues and biofluids, but typically only a small fraction of these can be identified, and structure elucidation of novel metabolites remains a low-throughput endeavor. Biochemical large language models have transformed the interpretation of DNA, RNA, and protein sequences, but have not yet had a comparable impact on understanding small molecule metabolism. Here, we present an approach that leverages chemical language models to discover previously uncharacterized metabolites. We introduce DeepMet, a chemical language model that learns the latent biosynthetic logic embedded within the structures of known metabolites and exploits this understanding to anticipate the existence of as-of-yet undiscovered metabolites. Prospective chemical synthesis of metabolites predicted to exist by DeepMet directs their targeted discovery. Integrating DeepMet with tandem mass spectrometry (MS/MS) data enables automated metabolite discovery within complex tissues. We harness DeepMet to discover several dozen structurally diverse mammalian metabolites. Our work demonstrates the potential for language models to accelerate the mapping of the metabolome.

bioinformatics↗

Tomato spotted wilt virus facilitates non-vector spider mite species (Tetranychus urticae and Tetranychus evansi) on whole tomato plants

Coinfections where hosts harbour more than one parasite species are common in nature. Facilitation among parasites enabling them to better exploit host resources is widespread with direct consequences on their life-history. Plant viruses can facilitate their vectors to increase their transmission, but equivalent studies in virus-non vectors are lacking. Here we study facilitation of two (non-vector) species of Tetranychus spider mites, Tetranychus urticae and T. evansi, by a plant virus, tomato spotted wilt virus (TSWV), in coinfections on a host tomato plant, Solanum lycopersicum. We compared the effect of different strains of TSWV on life-history traits of Tetranychus mites on cut leaves and whole plants of different tomato varieties. TSWV facilitated both species of spider mite on two different tomato varieties on whole plants, with more offspring of both species becoming adults. In contrast, on cut leaves, facilitation of T. urticae was much more variable depending on the experiment, viral strain and tomato variety. We attribute this to the non-homogeneous spread of virus throughout the host plant. Virus is first transported to the top leaves, and not middle leaves which we had used for the experiment. Indeed, if facilitation is indirect via the host immune system or resource based via the release of free-amino acids then this may be less efficient on cut plant parts. These results highlight that facilitation among parasites may increase parasite fitness and at the same time levels of virulence experienced by the host.

ecology↗

USP37 prevents premature disassembly of stressed replisomes by TRAIP

The E3 ubiquitin ligase TRAIP associates with the replisome and helps this molecular machine deal with replication stress. Thus, TRAIP promotes DNA inter-strand crosslink repair by triggering the disassembly of CDC45-MCM2-7-GINS (CMG) helicases that have converged on these lesions. However, disassembly of single CMGs that have stalled temporarily would be deleterious, suggesting that TRAIP must be carefully regulated. Here, we demonstrate that human cells lacking the de-ubiquitylating enzyme USP37 are hypersensitive to topoisomerase poisons and other replication stress-inducing agents. We further show that TRAIP loss rescues the hypersensitivity of USP37 knockout cells to topoisomerase inhibitors. In Xenopus egg extracts depleted of USP37, TRAIP promotes premature CMG ubiquitylation and disassembly when converging replisomes stall. Finally, guided by AlphaFold-Multimer, we discovered that binding to CDC45 mediates USP37s response to topological stress. In conclusion, we propose that USP37 protects genome stability by preventing TRAIP-dependent CMG unloading when replication stress impedes timely termination.

molecular biology↗

Productive mRNA Chromatin Escape is Promoted by PRMT5 Methylation of SNRPB

Protein Arginine Methyltransferase 5 (PRMT5) regulates RNA splicing and transcription by symmetric dimethylation of arginine residues (Rme2s/SDMA) in many RNA binding proteins. However, the mechanism by which PRMT5 couples splicing to transcriptional output is unknown. Here, we demonstrate that a major function of PRMT5 activity is to promote chromatin escape of a novel, large class of mRNAs that we term Genomically Retained Incompletely Processed Polyadenylated Transcripts (GRIPPs). Using nascent and total transcriptomics, spike-in controlled fractionated cell transcriptomics, and total and fractionated cell proteomics, we show that PRMT5 inhibition and knockdown of the PRMT5 SNRP (Sm protein) adapter protein pICln (CLNS1A) --but not type I PRMT inhibition--leads to gross detention of mRNA, SNRPB, and SNRPD3 proteins on chromatin. Compared to most transcripts, these chromatin-trapped polyadenylated RNA transcripts have more introns, are spliced slower, and are enriched in detained introns. Using a combination of PRMT5 inhibition and inducible isogenic wildtype and arginine-mutant SNRPB, we show that arginine methylation of these snRNPs is critical for mediating their homeostatic chromatin and RNA interactions. Overall, we conclude that a major role for PRMT5 is in controlling transcript processing and splicing completion to promote chromatin escape and subsequent nuclear export.

molecular biology↗

CD11b suppresses TLR7-driven inflammatory signaling to protect against lupus nephritis

Lupus Nephritis (LN) is a severe complication of systemic lupus erythematosus (SLE) that affects kidney function. Here, we investigated the role of CD11b, a protein encoded by the ITGAM gene, in the development of LN and its functional activation as a therapeutic strategy. Genetic coding variants of ITGAM significantly increase the risk for SLE and LN by producing a less active CD11b and leading to elevated levels of type I interferon (IFN I). However, a molecular mechanism for how these variants increase LN risk has been unclear. Here, we determined that these variants also significantly associate with elevations in soluble urokinase plasminogen activator receptor (suPAR), a known biomarker linked to kidney disease, suggesting a novel molecular connection. Pharmacologic activation of CD11b with a novel, clinical-stage agonist ONT01 significantly suppressed suPAR production in myeloid cells and reduced systemic inflammation and kidney damage in multiple experimental models of LN. Importantly, delaying treatment with ONT01 until after disease onset also significantly reduced serum suPAR and inflammatory cytokines, and decreased immune complex deposition in the glomerulus, glomerulonephritis and albuminuria, suggesting that CD11b activation is therapeutic for LN. Genetic activation of CD11b via a gain-of-function CD11b mutation also showed complete protection from LN, whereas genetic deletion of CD11b worsened the disease in mice, providing further evidence of the role of CD11b activation in regulating LN. Finally, transfer of human LN PBMCs generated human LN like disease in mice that was significantly reduced by ONT01. Together, these data provide strong evidence that ONT01 mediated CD11b activation can therapeutically modulate TLR7-driven inflammation and protect against LN. These findings support clinical development of CD11b agonists as novel therapeutics for treating lupus nephritis in human patients.

immunology↗

Hypoxia-Inducible Factor-1 activated by PIM1 assembles a non-canonical transcription complex and resultant regulon that drives progression of JAK2V617F myeloproliferative neoplasms

Hypoxia-inducible factors (HIFs) are master transcriptional regulators, central to cellular survival under limited oxygen (hypoxia) and frequently activated within malignancy. Malignant context affects the role of HIFs within oncogenesis; however, the mechanisms regulating HIF context-specificities are not well characterised. Applying the JAK2V617F (JVF) model of myeloproliferative neoplasms (MPNs), in which HIF-1 is active in normoxia (20% O2), we sought to determine whether the modality of HIF-1 activation directs its function. We identify that HIF-1 is stabilised in JVF cells downstream of STAT1/5 signalling and upregulation of PIM1: PIM1 mediates phosphorylation of HIF-1 (Thr498/Ser500) in JVF cells that inhibits proteasomal degradation. PIM1 inhibition eradicates HIF-1 from JVF cells. Applying a single-input dual-omics output chromatin interactome methodology (DOCIA), we define JVF-specific transcription cofactors and genomic redistribution of HIF-1, and a JVF-HIF-1 regulon in primary haematopoietic stem/progenitor cells. In a cohort of 172 JVF-MPN patients, we observe significant association of the JVF-HIF-1 regulon (but strikingly, not canonical HIF-1 genes) with disease severity, progression, and patient survival. Finally, we identify a core set of JVF-HIF-1 targets significantly associated with spontaneous transformation of MPNs to AML. Our findings identify that HIF-1 activation by the JVF-PIM1 axis substantially alters its function, and that this reprogramming drives MPN disease progression, restoring the potential for targeted therapies that delineate HIF-1 activity co-opted by malignancy from essential roles within physiological oxygen homeostasis. Key PointsO_LIHIF-1 activation via PIM1 in JAK2V617F-MPNs drives non-canonical transcription complex formation/function. C_LIO_LIThe JAK2V617F-HIF-1 regulon drives MPN disease progression, transformation to AML and worse patient outcomes. C_LI

cancer biology↗

Proteomic Profiling of Mesenchymal Stem Cell-Derived Extracellular Vesicles: Impact of Isolation Methods on Protein Cargo

Extracellular vesicles (EVs) are nanosized vesicles with a lipid bilayer that are secreted by cells and play a critical role in cell-to-cell communication. Despite the promising reports regarding their diagnostic and therapeutic potential, the utilization of EVs in the clinical setting is limited due to insufficient information about their cargo and a lack of standardization in isolation and analysis methods. Considering protein cargos in EVs as key contributors to their therapeutic potency, we conducted a tandem mass tag (TMT) quantitative proteomics analysis of three subpopulations of mesenchymal stem cell (MSC)-derived EVs obtained through three different isolation techniques: ultracentrifugation (UC), high-speed centrifugation (HS), and ultracentrifugation on sucrose cushion (SU). Subsequently, we checked EV marker expression, size distribution, and morphological characterization, followed by bioinformatic analysis. The bioinformatic analysis of the proteome results revealed that these subpopulations exhibit distinct molecular and functional characteristics. The choice of isolation method impacts the proteome of isolated EVs by isolating different subpopulations of EVs. Specifically, EVs isolated through the high-speed centrifugation (HS) method exhibited a higher abundance of ribosomal and mitochondrial proteins. Functional apoptosis assays comparing isolated mitochondria with different EV isolation methods revealed that HS-EVs, but not other EVs, induced early apoptosis in cancer cells. On the other hand, EVs isolated using the sucrose cushion (SU) and ultracentrifugation (UC) methods demonstrated a higher abundance of proteins primarily involved in the immune response, cellLJcell interactions, and extracellular matrix interactions. Our analyses unveil notable disparities in proteins and associated biological functions among EV subpopulations, underscoring the importance of meticulously selecting isolation methods and resultant EV subpopulations based on the intended application.

cell biology↗

The dCMP deaminase DCTD and the E3 ligase TOPORS are central mediators of decitabine cytotoxicity

The nucleoside decitabine (5-aza-dC) is used to treat several hematological cancers. Upon triphosphorylation and incorporation into DNA, 5-aza-dC induces covalent DNMT1 DNA-protein crosslinks (DPCs) and DNA hypomethylation. However, 5-aza-dC treatment success varies, and relapse is common. Using genome-scale CRISPR/Cas9 screens, we map factors determining 5-aza-dC susceptibility. Unexpectedly, we find that loss of the dCMP deaminase DCTD causes 5-aza-dC resistance, suggesting that 5-aza-dUMP generation underlies most 5-aza-dC cytotoxicity in wild-type cells. Combining results from a subsequent genetic screen in DCTD-deficient cells with identification of the proximal proteome of DNMT1-DPCs, we uncover the ubiquitin/SUMO1 E3 ligase, TOPORS, as a new DPC repair factor. TOPORS is recruited to DNMT1-DPCs in a SUMO-dependent manner and promotes their degradation. Our study suggests that 5-aza-dC-induced DPCs cause cytotoxicity when DPC repair is compromised, while cytotoxicity in wild-type cells arises from perturbed nucleotide metabolism and lays the foundations for the development of predictive biomarkers for decitabine treatment.

cell biology↗

A Novel AI-Designed Antimicrobial Peptide Synergistically Potentiates Aminoglycosides against Colistin- and Carbapenem-Resistant Acinetobacter baumannii

The urgent necessity for new antibiotics becomes glaringly evident with the relentless rise of multidrug-resistant (MDR) Acinetobacter baumannii in clinical environments, where its infections lead to alarmingly high mortality rates. Antimicrobial peptides (AMPs) represent a promising novel option to combat nosocomial infections caused by MDR A. baumannii. In this study, six novel synthetic peptides were designed through generative artificial intelligence (AI) and synthesized for further experiments. Peptides AIG-R1, AIG-R4, and AIG-R5 showed potent broad-spectrum antibacterial activity against Gram positive and Gram negative pathogens. One of the peptides, AIG-R5, was effective even against colistin and carbapenem-resistant strains of A. baumannii, prevented biofilm formation, and eradicated established biofilms by 60%. Notably, AIG-R5 enhanced the activity of different antibiotics and was found to exhibit synergistic activity with antibiotics from the Aminoglycoside class. The combination of AIG-R5 and Tobramycin at 1/8xMIC and 1/4xMIC effectively reduced pre-formed biofilms of carbapenem resistant A. baumannii more than either component alone, as documented by confocal laser scanning microscopy (CLSM). Significant dose reduction and negligible cytotoxicity exhibited by AIG-R5 with aminoglycosides further encourages evaluation of the combinations therapeutic potential in vivo against MDR A. baumannii infections.

microbiology↗

SARS-CoV-2 antibodies cross-react and enhance dengue infection

The presence of non-neutralizing antibodies of any dengue serotype, increase the severity of subsequent infection by other dengue serotypes. During SARS-CoV-2 pandemic, the number of symptomatic dengue cases increased in India. We describe that antibodies isolated from convalescent plasma from COVID-19 patients enhances DENV2 infection in vitro. CR3022, one antibody against SARS-CoV-2 spike protein, also showed elevated DENV2 infection in vitro. In silico protein-protein interactions between the spike antibodies and the DENV2 E-protein revealed significant interactions. Likewise, few monoclonal/polyclonal antibodies against SARS-CoV-2 showed increased dengue infection in vitro. Importantly, the AG129 mice infected with SARS-CoV-2 three-weeks prior to DENV2 infection, showed elevated dengue pathogenesis. Thus, highlighting the possibilities of elevated infection and symptomatic dengue disease in COVID-19 survivors.

immunology↗

Tunable PhenoCycler Imaging of the Murine Pre-Clinical Tumour Microenvironments

The tumour microenvironment (TME) consists of tumour-supportive immune cells, endothelial cells, and fibroblasts. PhenoCycler, a high-plex single cell imaging platform, is used to characterize the complexity of the TME. Here, we used PhenoCycler to spatially resolve the TME of 8 routinely employed pre-clinical models of lymphoma, breast cancer, and melanoma. Our data reveal distinct TMEs in the different cancer models that were imaged, and show that cell-cell contacts differ depending on the tumour type examined. For instance, we found that the immune infiltration in a murine model of melanoma is altered in cellular organization in melanomas that become resistant to PD-1 therapy, with depletions in a number of cell-cell interactions. Furthermore, we provide detailed pipelines for the conjugation of antibodies that are optimized for PhenoCycler staining of murine FFPE tissues specifically, alongside open-source data analysis procedures. Overall, this is a valuable resource study seamlessly adaptable to any field of research involving murine models.

cancer biology↗

SignEEG v1.0 : Multimodal Electroencephalography and Signature Database for Biometric Systems

Handwritten signatures in biometric authentication leverage unique individual characteristics for identification, offering high specificity through dynamic and static properties. However, this modality faces significant challenges from sophisticated forgery attempts, underscoring the need for enhanced security measures in common applications. To address forgery in signature-based biometric systems, integrating a forgery-resistant modality, namely, noninvasive electroencephalography (EEG), which captures unique brain activity patterns, can significantly enhance system robustness by leveraging multimodalitys strengths. By combining EEG, a physiological modality, with handwritten signatures, a behavioral modality, our approach capitalizes on the strengths of both, significantly fortifying the robustness of biometric systems through this multimodal integration. In addition, EEGs resistance to replication offers a high-security level, making it a robust addition to user identification and verification. This study presents a new multimodal SignEEG v1.0 dataset based on EEG and hand-drawn signatures from 70 subjects. EEG signals and hand-drawn signatures have been collected with Emotiv Insight and Wacom One sensors, respectively. The multimodal data consists of three paradigms based on mental, & motor imagery, and physical execution: i) thinking of the signatures image, (ii) drawing the signature mentally, and (iii) drawing a signature physically. Extensive experiments have been conducted to establish a baseline with machine learning classifiers. The results demonstrate that multimodality in biometric systems significantly enhances robustness, achieving high reliability even with limited sample sizes. We release the raw, pre-processed data and easy-to-follow implementation details.

neuroscience↗

Generalized fear following acute stress is caused by change in co-transmitter identity of serotonergic neurons

Overgeneralization of fear to harmless situations is a core feature of anxiety disorders resulting from acute stress, yet the mechanisms by which fear becomes generalized are poorly understood. Here we show that generalized fear in mice in response to footshock results from a transmitter switch from glutamate to GABA in serotonergic neurons of the lateral wings of the dorsal raphe. We observe a similar change in transmitter identity in the postmortem brains of PTSD patients. Overriding the transmitter switch in mice using viral tools prevents the acquisition of generalized fear. Corticosterone release and activation of glucocorticoid receptors trigger the switch, and prompt antidepressant treatment blocks the co-transmitter switch and generalized fear. Our results provide new understanding of the plasticity involved in fear generalization. One sentence summaryAcute stress produces generalized fear by causing serotonergic neurons to switch their co-transmitter from glutamate to GABA

neuroscience↗

Deletion of TRPC6, an autism risk gene, induces hyperexcitability in cortical neurons derived from human pluripotent stem cells

Autism spectrum disorder (ASD) is a complex and heterogeneous neurodevelopmental disorder linked to numerous rare, inherited and arising de novo genetic variants. ASD often co-occurs with attention-deficit hyperactivity disorder and epilepsy, which are associated with hyperexcitability of neurons. However, the physiological and molecular mechanisms underlying hyperexcitability in ASD remain poorly understood. Transient receptor potential canonical-6 (TRPC6) is a Ca2+-permeable cation channel that regulates store-operated calcium entry (SOCE) and is a candidate risk gene for ASD. Using human pluripotent stem cell (hPSC)-derived cortical neurons, single cell calcium imaging, and electrophysiological recording, we show that TRPC6 knockout (KO) reduces SOCE signaling and leads to hyperexcitability of neurons by increasing action potential frequency and network burst frequency. Our data provide evidence that reduction of SOCE by TRPC6 KO results in neuronal hyperexcitability, which we hypothesize is an important contributor to the cellular pathophysiology underlying hyperactivity in some ASD.

neuroscience↗