Biology subjects

Sarma, A.

Publications and source records attributed to Sarma, A..

9 recordsLinked to original sources

bioRxiv2026

The phosphodiesterase-5 inhibitor vardenafil reverses sleep deprivation-induced amnesia in mice

Sleep deprivation (SD) disrupts memory processes, particularly those dependent on the hippocampus. Six hours of SD after training in a hippocampus-dependent task typically induces amnesia in mice and impairs performance upon memory testing later. However, we previously demonstrated that object-location memories (OLMs) encoded under SD conditions can be recovered several days later, suggesting that these memories were not lost but suboptimally stored. Given that engrams of a specific memory are distributed across multiple functionally connected brain regions, we hypothesized that SD-induced amnesia arises from disrupted network alterations extending beyond the hippocampus. Consistent with this, brain-wide cFos mapping revealed a widespread reduction in cFos in memory associated regions during recall in SD mice and connectivity analysis identified the hippocampus as a central hub in this network. Since cGMP signaling modulates memory processes, we next tested whether the cGMP-specific PDE5 inhibitor vardenafil could restore access to these latent memories. One day after training, vardenafil reversed SD-induced OLM impairment when administered 30 minutes before testing, but this effect was lost when testing occurred several days later. To achieve persistent access to OLMs formed under SD conditions, we combined vardenafil treatment with optogenetic engram stimulation. This combined approach successfully maintained OLM retrievability for several days post-manipulation. Crucially, successful retrieval in these mice was associated with a significant increase in engram cell reactivation within the dorsal dentate gyrus compared to mice that failed to recall. Collectively, these findings provide novel insight into the molecular and network mechanisms underlying SD-induced amnesia and offer a strong rationale for developing targeted PDE5-mediated therapies to reverse SD-related memory deficits. HighlightsO_LISD-induced amnesia is associated with reduced cFos expression within memory-associative circuitry C_LIO_LIThe phosphodiestarase-5-inhibitor vardenafil can be used to restore memory access C_LIO_LICombining optogenetics with vardenafil treatment sustains memory retrieval over several days C_LIO_LISuccessful retrieval reflects increased reactivation of engram cells in the dentate gyrus C_LI

neuroscience↗

bioRxiv2025

Sociability is a multidimensional trait in Drosophila melanogaster

Sociability--the propensity of an individual to engage in group activities--is a trait present in all social species. In humans and many animals, sociability varies between individuals yet remains consistent across contexts, qualifying it as a personality trait. Sociability influences health and physiology, but the mechanisms underlying sociability and its inter-individual variation remain poorly understood. The genetically tractable fruit fly, Drosophila melanogaster, is increasingly used to study social behavior and exhibits a wide range of sociability phenotypes. However, previous studies have relied on distinct behavioral paradigms, limiting cross-context comparisons and motivating a more extensive characterization of sociability in this species. Here, we quantified sociability in D. melanogaster using a multidimensional approach encompassing three paradigms that capture engagement in group activities across contexts: (1) preference for communal versus solitary egg-laying, (2) egg-laying latency in a group, and (3) frequency and duration of spontaneous social interactions and interindividual distance. We assessed these behaviors in 105 lines of the Drosophila Genetic Reference Panel and observed substantial variation in responses to conspecific presence across paradigms. Sociability-related behaviors differed between genetically distinct lines, indicating a genetic component. However, the three sociability traits were uncorrelated, demonstrating that sociability in D. melanogaster is multidimensional. These findings suggest that sociability is not governed by a single central mechanism, but instead arises from multiple context-dependent pathways.

animal behavior and cognition↗

bioRxiv2025

MutAIverse: An AI-Powered, Mechanism-backed Platform for Discovering Novel DNA Adducts and their precursor Genotoxins

Genotoxin exposure leads to DNA adduct formation, potentially causing mutations if unrepaired. Current DNA adductomics platforms or analytical workflows are limited by incomplete spectral libraries, reliance on experimentally validated adducts, limited cellular contexts, and inefficient computational methodologies. We introduce MutAIverse, an advanced AI-driven DNA adductomics analysis platform that overcomes these limitations by leveraging intracellular mechanistic modeling of genotoxin bioactivation to construct a comprehensive DNA adduct library and offers advanced spectral mapping. MutAIverse integrates experimentally validated and chemically valid putative DNA adducts, enabling interpretable retrograde tracking to parental genotoxins. Validation of MutAIverse against experimental MS/MS datasets demonstrated the detection of both known and novel adducts. Furthermore, application to in-house generated DNA adductomics data from tissue biopsies of smokeless tobacco-induced head and neck cancer patients revealed selective enrichment of both novel and known DNA adducts; a subset of them was validated using MS/MS analysis. Collectively, MutAIverse provides a robust, end-to-end, and interpretable platform for advanced DNA adductomics analysis.

bioinformatics↗

bioRxiv2024

Minimized Sample Consumption for Time-Resolved Serial Crystallography Applied to the Redox Cycle of Human NQO1

Sample consumption for serial femtosecond crystallography (SFX) with X-ray free electron lasers (XFELs) remains a major limitation preventing broader use of this powerful technology in macromolecular crystallography. This drawback is exacerbated in the case of time-resolved (TR)-SFX experiments, where the amount of sample required per reaction time point is multiplied by the number of time points investigated. Thus, in order to reduce the limitation of sample consumption, here we demonstrate the implementation of segmented droplet generation in conjunction with a mix-and-inject approach for TR studies on NAD(P)H:quinone oxidoreductase 1 (NQO1). We present the design and application of mix-and-inject segmented droplet injectors for the Single Particles, Clusters, and Biomolecules & Serial Femtosecond Crystallography (SPB/SFX) instrument at the European XFEL (EuXFEL) with a synchronized droplet injection approach that allows liquid phase protein crystal injection. We carried out TR-crystallography experiments with this approach for a 305 ms and a 1190 ms time point in the reaction of NQO1 with its coenzyme NADH. With this successful TR-SFX approach, up to 97% of the sample has been conserved compared to continuous crystal suspension injection with a gas dynamic virtual nozzle. Furthermore, the obtained structural information for the reaction of NQO1 with NADH is an important part of the future elucidation of the reaction mechanism of this crucial therapeutic enzyme.

biochemistry↗

bioRxiv2024

Crystal structure of a bacterial photoactivated adenylate cyclase determined at room temperature by serial femtosecond crystallography

OaPAC is a recently discovered blue-light using flavin adenosine dinucleotide (BLUF) photoactivated adenylate cyclase from the cyanobacterium Oscillatoria acuminata that uses adenosine triphosphate and translates the light signal into the production of cyclic adenosine monophosphate. Here, we report the crystal structures of the enzyme in the absence of its natural substrate determined from room temperature serial crystallography data collected at both an X-ray free electron laser and a synchrotron and we compare them with the cryo macromolecular crystallography structures obtained at a synchrotron by us and others. These results reveal slight differences in the structure of the enzyme due to data collection at different temperatures and X-ray sources. We further investigate the effect of the Y6 mutation in the blue-light using flavin adenosine dinucleotide domain, a mutation which results in a rearrangement of the hydrogen-bond network around the flavin and a notable rotation of the side-chain of the critical Q48 residue. These studies pave the way for ps - ms time-resolved serial crystallography experiments at X-ray free electron lasers and synchrotrons in order to determine the early structural intermediates and correlate them with the well-studied ps - ms spectroscopic intermediates. SynopsisStructures of the dark-adapted state of a photoactivated adenylate cyclase are determined from serial crystallography (SX) data collected at room temperature at an X-ray free electron laser (XFEL) and a synchrotron and are compared with cryo macromolecular crystallography (MX) synchrotron structures obtained by us and others. These structures of the wild-type enzyme in combination with the cryo MX synchrotron structure of a light-sensor domain mutant provide insight into the hydrogen bond network rearrangement upon blue-light illumination and pave the way for the determination of structural intermediates of the enzyme by time-resolved SX.

biophysics↗

bioRxiv2022

The G-protein-coupled estrogen receptor, a gene co-expressed with ERα in breast tumors, is regulated by estrogen-ERα signalling in ERα positive breast cancer cells.

PurposeThe purpose of this study was to assess the relationship between GPER, a seven transmembrane G-protein coupled estrogen receptor, and ER in breast tumors, and to make inroads into the mechanistic basis and clinical significance. MethodsTCGA-BRCA data was mined to examine the relationship between GPER and ER expression. GPER mRNA, and protein expression were analyzed in ER-positive or -negative breast tumors from two cohorts using immunohistochemistry, western blotting, or RT-qPCR. The Kaplan-Meier Plotter was employed for survival analysis. The influence of estrogen in vivo was studied by examining GPER expression levels in estrus or diestrus mouse mammary tissues, and the impact of 17{beta}-estradiol (E2) administration in juvenile or adult mice. The effect of E2, or propylpyrazoletriol (PPT, an ER agonist) stimulation on GPER expression was studied in MCF-7 and T47D cells, with or without tamoxifen or ER knockdown. ER-binding to the GPER locus was explored by analysing ChIP-seq data (ERP000380), in silico prediction of estrogen response elements, and chromatin immunoprecipitation assay. ResultsClinical data revealed significant positive association between GPER and ER expression in breast tumors. The median GPER expression in ER-positive tumors was significantly higher than ER-negative tumors. High GPER expression was significantly associated with longer overall survival of patients with ER-positive tumors. In vivo experiments showed a positive effect of E2 on GPER expression. E2 induced GPER expression in MCF-7 and T47D cells; an effect mimicked by PPT. Tamoxifen or ER-knockdown blocked the induction of GPER. Estrogen-mediated induction was associated with increased ER occupancy in the upstream region of GPER. ConclusionGPER expression is positively associated with ER in breast tumors, and a transcriptional target of the estrogen-ER signalling axis. More in-depth studies are required to establish the significance of GPER-ER co-expression, and their interplay in breast tumor development, progression, and treatment.

cancer biology↗

bioRxiv2021

Integrative analysis identified common and unique molecular signatures in hepatobiliary cancers

Hepatobiliary cancers (HBCs) are the most aggressive and sixth most diagnosed cancers globally. Biomarkers for timely diagnosis and targeted therapy in HBCs are still limited. Considering the gap, our objective is to identify unique and overlapping molecular signatures associated with HBCs. We analyzed publicly available transcriptomic datasets on Gallbladder cancer (GBC), Hepatocellular carcinoma (HCC), and Intrahepatic cholangiocarcinoma (ICC) to identify potential biomarkers using integrative systems approaches. An effective Common and Unique Molecular Signature Identification (CUMSI) approach has been developed, which contains analysis of differential gene expression (DEG), gene co-expression networks (GCN), and protein-protein interactions (PPIs) networks. Functional analysis of the DEGs unique for GBC, HCC, and ICC indicated that GBC is associated with cellular processes, HCC is associated with immune signaling pathways, and ICC is associated with lipid metabolic pathways. Our findings shows that the hub genes and pathways identified for each individual cancer type of the HBS are related with the primary function of each organ and each cancer exhibit unique expression patterns despite being part of the same organ system.

systems biology↗

bioRxiv2021

Control-theoretic immune tradeoffs explain SARS-CoV-2 virulence and transmission variation

Dramatic variation in SARS-CoV-2 virulence and transmission between hosts has driven the COVID-19 pandemic. The complexity and dynamics of the immune response present a challenge to understanding variation in SARS-CoV-2 infections. To address this challenge, we apply control theory, a framework used to study complex feedback systems, to establish rigorous mathematical bounds on immune responses. Two mechanisms of SARS-CoV-2 biology are sufficient to create extreme variation between hosts: (1) a sparsely expressed host receptor and (2) potent, but not unique, suppression of interferon. The resulting model unifies disparate and unexplained features of the SARS-CoV-2 pandemic, predicts features of future viruses that threaten to cause pandemics, and identifies potential interventions.

systems biology↗

bioRxiv2020

A neural circuit mechanism of categorical perception: top-down signaling in the primate cortex

In contrast to feedforward architecture commonly used in deep networks at the core of todays AI revolution, the biological cortex is endowed with an abundance of feedback projections. Feedback signaling is often difficult to differentially identify, and its computational roles remain poorly understood. Here, we investigated a cognitive phenomenon, called categorical perception (CP), that reveals the influences of high-level category learning on low-level feature-based perception, as a putative signature of top-down signaling. By examining behavioral data from a visual motion delayed matching experiment in non-human primates, we found that, after categorization training, motion directions closer to (respectively, away from) a category center became more (less) difficult to discriminate. This distance-dependent discrimination performance change along the dimension relevant to the learned categories provides direct evidence for the CP phenomenon. To explain this experimental finding, we developed a neural circuit model that incorporated key neurophysiological findings in visual categorization, working memory and decision making. Our model accounts for the behavioral data indicative of CP, pinpoints its circuit basis, suggests novel experimentally testable predictions and provides a functional explanation for its existence. Our work shows that delayed matching paradigms in non-human primates combined with biologically-based modeling can serve as a promising model system for elucidating the neural mechanisms of CP, as a manifestation of top-down signaling in the cortex. Significant StatementCategorical perception is a cognitive phenomenon revealing the influences of high-level category learning on low-level feature-based perception. However, its underlying neural mechanisms are largely unknown. Here, we found behavioral evidence for this phenomenon from a visual motion delayed matching experiment in non-human primates. We developed a neural circuit model that can account for this behavioral data, pinpoints its circuit basis, suggests novel experimentally testable predictions and provides a functional explanation for its existence. Our work shows that delayed matching paradigms in non-human primates combined with biologically-based modeling can serve as a promising model system for elucidating the neural mechanisms of categorical perception, as a manifestation of top-down signaling in the cortex.

neuroscience↗