Biology subjects

Ghosh, S.

Publications and source records attributed to Ghosh, S..

At least 217 records · Page 12Linked to original sources

bioRxiv2023

Modeling of whole brain Electroencephalogram (EEG) in a spatially organized oscillatory network

In this study, we model high-dimensional Electroencephalogram signals in sleep stages, using a general trainable network of Hopf oscillators. The proposed architecture has two components: a layer of oscillators with lateral connections, and a complex valued feedforward network with and without a hidden layer. The output of the Hopf oscillators, whose dynamics is described in the complex domain, is fed as input to the feedforward network and the output predicts the EEG signals. The proposed network is trained in two stages: in the 1st stage, intrinsic frequencies of the oscillators and the lateral connections are trained whereas, in the 2nd stage, the complex-valued feed-forward network is trained. Reconstruction error obtained when there is a hidden layer in the feedforward network is an order of magnitude smaller than that obtained without a hidden layer. Also, it has been shown that during testing our model is able to generate EEG signals, whose spectral properties accurately describe the corresponding target signals. In the first, the oscillators do not have any spatial localization, whereas in the second the oscillators are spatially distributed in a spherical shell geometry. The model described can be interpreted as a stepping stone towards a large-scale model of brain dynamics.

neuroscience↗

bioRxiv2023

A host AAA-ATPase exhibits bacteriolytic activity for clearance of microbial infection

An array of host cytosol guarding factors impede bacterial proliferation and preserve cellular sterility. Amongst them, proteasomal degradation of ubiquitinated pathogens has emerged as a critical mechanism for ensuring cytosolic sanctity. We wondered how proteasomes, with their small size and inability to extract membrane-bound proteins, can eradicate pathogens. Here, we unveil a unique strategy, wherein VCP/p97, a host AAA-ATPase, eliminates pathogens by exerting mechanical force that physically unfolds and pulls out ubiquitinated proteins from bacterial membrane. Combining a single-molecule approach along with molecular dynamic simulation and in-vitro reconstitution, we demonstrate that protein extraction by p97 causes extensive membrane lysis and release of cytosolic contents from phylogenetically diverse microbes. Additionally, in an in-vivo mouse sepsis model, this segregase-dependent bactericidal effect of p97 abrogated microbial proliferation in host tissues. Overall, we discovered a distinct innate antimicrobial function of p97, that protects the host against lethal bacterial infections. One Sentence SummaryA host AAA-ATPase exhibits bacteriolytic activity.

microbiology↗

bioRxiv2023

SHARK enables homology assessment in unalignable anddisordered sequences

Intrinsically disordered regions (IDRs) are structurally flexible protein segments with regulatory functions in multiple contexts, such as in the assembly of biomolecular condensates. Since IDRs undergo more rapid evolution than ordered regions, identifying homology of such poorly conserved regions remains challenging for state-of-the-art alignment-based methods that rely on position-specific conservation of residues. Thus, systematic functional annotation and evolutionary analysis of IDRs have been limited, despite comprising [~]21% of proteins. To accurately assess homology between unalignable sequences, we developed an alignment-free sequence comparison algorithm, SHARK (Similarity/Homology Assessment by Relating K-mers). We trained SHARK-dive, a machine learning homology classifier, which achieved superior performance to standard alignment in assessing homology in unalignable sequences, and correctly identified dissimilar IDRs capable of functional rescue in IDR-replacement experiments reported in the literature. SHARK-dive not only predicts functionally similar IDRs, but also identifies cryptic sequence properties and motifs that drive remote homology, thereby facilitating systematic analysis and functional annotation of the unalignable protein universe.

bioinformatics↗

bioRxiv2023

Nuclear lamin A/C phosphorylation by loss of Androgen Receptor is a global determinant of cancer-associated fibroblast activation.

Alterations of nuclear structure and function, and associated impact on gene transcription, are a hallmark of cancer cells. Little is known of these alterations in Cancer-Associated Fibroblasts (CAFs), a key component of the tumor stroma. Here we show that loss of androgen receptor (AR), which triggers early steps of CAF activation in human dermal fibroblasts (HDFs), leads to nuclear membrane alterations and increased micronuclei formation, which are unlinked from induction of cellular senescence. Similar alterations occur in fully established CAFs, which are overcome by restored AR function. AR associates with nuclear lamin A/C and loss of AR results in a substantially increased lamin A/C nucleoplasmic redistribution. Mechanistically, AR functions as a bridge between lamin A/C with the protein phosphatase PPP1. In parallel with a decreased lamin-PPP1 association, AR loss results in a marked increase of lamin A/C phosphorylation at Ser 301, which is also a feature of CAFs. Phosphorylated lamin A/C at Ser 301 binds to the transcription promoter regulatory region of several CAF effector genes, which are upregulated due to the loss of AR. More directly, expression of a lamin A/C Ser301 phosphomimetic mutant alone is sufficient to convert normal fibroblasts into tumor-promoting CAFs of the myofibroblast subtype, without an impact on senescence. These findings highlight the pivotal role of the AR-lamin A/C-PPP1 axis and lamin A/C phosphorylation at Ser 301 in driving CAF activation.

cancer biology↗

bioRxiv2023

HuR-miRNA complex Activates RAS GTPase RalA to Facilitate Endosome Targeting and Extracellular Export of miRNAs

Extracellular vesicles-mediated exchange of miRNA cargos between diverse types of mammalian cells is a major mechanism of controlling cellular miRNA levels and activity and thus to regulate expression of miRNA-target genes in both donor and recipient cells. Despite tremendous excitement related to extracellular vesicles-associated miRNAs as biomarkers or having therapeutic potential, the mechanism of selective packaging of miRNAs into endosomes and multivesicular bodies for subsequent extracellular export is a poorly studied area due to lack of assay system to study such processes in vitro. We have developed an in vitro assay with endosomes isolated from mammalian macrophage cells to follow miRNA packaging into endocytic organelles. The synthetic miRNAs, used in the assay, get imported inside the isolated endosomes during the in vitro reaction and become protected from RNase in a time and concentration dependent manner. The selective miRNA accumulation inside endosomes requires both ATP and GTP hydrolysis and the miRNA binding protein HuR. The HuR-miRNA complex binds and stimulates the endosomal RalA GTPase to facilitate the import of miRNAs into endosomes and their subsequent export as part of the extracellular vesicles. The endosomal targeting of miRNAs is also very much dependent on endosome maturation process that is controlled by Rab5 protein and ATP. Graphical Abstract{whitebullet} miRNAs get imported to endosomes in vitro and are become protected to RNase {whitebullet}Endosomal miRNA import is sequence specific and requires miRNA exporter protein HuR {whitebullet}HuR-miRNA complex activates RalA GTPases to complete miRNA import. {whitebullet}Rab5 protein and ATP hydrolysis is required for endosome maturation and miRNA import O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=149 SRC="FIGDIR/small/546187v1_ufig1.gif" ALT="Figure 1"> View larger version (31K): org.highwire.dtl.DTLVardef@217e52org.highwire.dtl.DTLVardef@ec6190org.highwire.dtl.DTLVardef@f972f5org.highwire.dtl.DTLVardef@ea67a4_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

bioRxiv2023

Disruption of Prostaglandin F2α Receptor Signaling Attenuates Fibrotic Remodeling and Alters Fibroblast Population Dynamics in A Preclinical Murine Model of Idiopathic Pulmonary Fibrosis

Idiopathic Pulmonary Fibrosis (IPF) is a chronic parenchymal lung disease characterized by repetitive alveolar cell injury, myofibroblast proliferation, and excessive extracellular matrix deposition for which unmet need persists for effective therapeutics. The bioactive eicosanoid, prostaglandin F2, and its cognate receptor FPr (Ptfgr) are implicated as a TGF{beta}1 independent signaling hub for IPF. To assess this, we leveraged our published murine PF model (IER -SftpcI73T) expressing a disease-associated missense mutation in the surfactant protein C (Sftpc) gene. Tamoxifen treated IER -Sftpc I73T mice develop an early multiphasic alveolitis and transition to spontaneous fibrotic remodeling by 28 days. IER -Sftpc I73T mice crossed to a Ptgfr null (FPr-/-) line showed attenuated weight loss and gene dosage dependent rescue of mortality compared to FPr+/+ cohorts. IER -Sftpc I73T /FPr-/- mice also showed reductions in multiple fibrotic endpoints for which administration of nintedanib was not additive. Single cell RNA sequencing, pseudotime analysis, and in vitro assays demonstrated Ptgfr expression predominantly within adventitial fibroblasts which were reprogrammed to an "inflammatory/transitional" cell state in a PGF2/ FPr dependent manner. Collectively, the findings provide evidence for a role for PGF2 signaling in IPF, mechanistically identify a susceptible fibroblast subpopulation, and establish a benchmark effect size for disruption of this pathway in mitigating fibrotic lung remodeling.

molecular biology↗

bioRxiv2023

PICNIC identifies condensate-forming proteins across organisms

Biomolecular condensates are membraneless organelles that can concentrate hundreds of different proteins to operate essential biological functions. However, accurate identification of their components remains challenging and biased towards proteins with high structural disorder content with focus on self-phase separating (driver) proteins. Here, we present a machine learning algorithm, PICNIC (Proteins Involved in CoNdensates In Cells) to classify proteins involved in biomolecular condensates regardless of their role in condensate formation. PICNIC successfully predicts condensate members by identifying amino acid patterns in the protein sequence and structure in addition to the intrinsic disorder and outperforms previous methods. We performed extensive experimental validation in cellulo and demonstrated that PICNIC accurately predicts 21 out of 24 condensate-forming proteins regardless of their structural disorder content. Even though increasing disorder content was associated with organismal complexity, we found no correlation between predicted condensate proteome content and disorder content across organisms. Overall, we applied a novel machine learning classifier to interrogate condensate components at single protein and whole-proteome levels across the tree of life (picnic.cd-code.org).

bioinformatics↗

bioRxiv2023

Deep Phenotyping of the Lipidomic Response in COVID and non-COVID Sepsis

Lipids may influence cellular penetrance by pathogens and the immune response that they evoke. Here we find a broad based lipidomic storm driven predominantly by secretory (s) phospholipase A2 (sPLA2) dependent eicosanoid production occurs in patients with sepsis of viral and bacterial origin and relates to disease severity in COVID-19. Elevations in the cyclooxygenase (COX) products of arachidonic acid (AA), PGD2 and PGI2, and the AA lipoxygenase (LOX) product, 12-HETE, and a reduction in the high abundance lipids, ChoE 18:3, LPC-O-16:0 and PC-O-30:0 exhibit relative specificity for COVID-19 amongst such patients, correlate with the inflammatory response and link to disease severity. Linoleic acid (LA) binds directly to SARS-CoV-2 and both LA and its di-HOME products reflect disease severity in COVID-19. AA and LA metabolites and LPC-O-16:0 linked variably to the immune response. These studies yield prognostic biomarkers and therapeutic targets for patients with sepsis, including COVID-19. An interactive purpose built interactive network analysis tool was developed, allowing the community to interrogate connections across these multiomic data and generate novel hypotheses.

systems biology↗

bioRxiv2023

BioModelsML: Building a FAIR and reproducible collection of machine learning models in life sciences and medicine for easy reuse

Machine learning (ML) models are widely used in life sciences and medicine; however, they are scattered across various platforms and there are several challenges that hinder their accessibility, reproducibility and reuse. In this manuscript, we present the formalisation and pilot implementation of community protocol to enable FAIReR (Findable, Accessible, Interoperable, Reusable, and Reproducible) sharing of ML models. The protocol consists of eight steps, including sharing model training code, dataset information, reproduced figures, model evaluation metrics, trained models, Dockerfiles, model metadata, and FAIR dissemination. Applying these measures we aim to build and share a comprehensive public collection of FAIR ML models in the BioModels repository through incentivized community curation. In a pilot implementation, we curated diverse ML models to demonstrate the feasibility of our approach and we discussed the current challenges. Building a FAIReR collection of ML models will directly enhance the reproducibility and reusability of ML models, minimising the effort needed to reimplement models, maximising the impact on the application and significantly accelerating the advancement in the field of life science and medicine.

bioinformatics↗

bioRxiv2023

Guild-level response of the gut microbiota to isocaloric time-restricted feeding in high-fat diet-fed mice

Time-restricted feeding (TRF) during the active phase protects against high-fat diet (HFD)-induced obesity, and its impact on gut microbiota has been previously investigated using bacterial taxa as functional units. However, in the gut ecosystem, bacteria from different taxonomic backgrounds form coherent functional groups called guilds, whose members exhibit co-abundant behavior. Thirty-five co-abundance groups (CAGs), clustered from 297 prevalent amplicon sequence variants (ASVs), showed greater concordance with beta-diversity plots based on all 1131 ASVs than the 130 classifiable genera, leading to a significantly improved preservation of community-level information. TRF-enriched CAGs positively correlated with metabolic improvement, while TRF-reduced CAGs negatively correlated. TRF restored the diurnal rhythm of most of these key CAGs. Novel ASVs, unclassifiable at the genus level, were identified in these key CAGs. Overall, this suggests that the key bacterial guilds may mediate the beneficial metabolic effects of TRF through the restoration of diurnal oscillation.

microbiology↗

bioRxiv2023

Stem cells tightly regulate dead cell clearance to maintain tissue fitness

Summary ParagraphMacrophages and dendritic cells have long been appreciated for their ability to migrate to and engulf dying cells and debris, including some of the billions of cells that are naturally eliminated from our body daily. However, a substantial number of these dying cells are cleared by non-professional phagocytes, local epithelial cells that are critical to organismal fitness. How non-professional phagocytes sense and digest nearby apoptotic corpses while still performing their normal tissue functions is unclear. Here, we explore the molecular mechanisms underlying their multifunctionality. Exploiting the cyclical bouts of tissue regeneration and degeneration during the hair cycle, we show that stem cells can transiently become non-professional phagocytes when confronted with dying cells. Adoption of this phagocytic state requires both local lipids produced by apoptotic corpses to activate RXR, and tissue-specific retinoids for RAR{gamma} activation. This dual factor dependency enables tight regulation of the genes requisite to activate phagocytic apoptotic clearance. The tunable phagocytic program we describe here offers an effective mechanism to offset phagocytic duties against the primary stem cell function of replenishing differentiated cells to preserve tissue integrity during homeostasis. Our findings have broad implications for other non-motile stem or progenitor cells which experience cell death in an immune-privileged niche.

cell biology↗

bioRxiv2023

Downregulation of the silent potassium channel Kv8.1 increases ALS motor neuron vulnerability

The Kv8.1 potassium ion channel encoded by the KCNV1 gene is a "silent" subunit whose biological function is unknown. In ALS patient-derived motor neurons carrying SOD1(A4V) and C9orf72 mutations, its expression is highly reduced, yielding increased vulnerability to cell death without a change in motor neuronal firing. Our data suggests that Kv8.1 modulates Kv2 channel function to impact neuronal metabolism and lipid/protein transport pathways, but not excitability.

neuroscience↗

bioRxiv2023

PALS1 is a key regulator of the lateral distribution of tight junction proteins in renal epithelial cells.

The evolutionarily conserved Crumbs (CRB) polarity complex, which consists of the core components CRB3a, PALS1 and PATJ, plays a key role in epithelial cell-cell contact formation and cell polarization. Recently we observed that deletion of one Pals1 allele in mice results in functional haploinsufficiency characterized by renal cysts. To address the role of PALS1 at the cellular level, we generated PALS1 knockout MDCKII cell lines using the CRISPR/Cas9 system. The loss of PALS1 resulted in increased paracellular permeability indicative of an epithelial barrier defect. This barrier defect was associated with a redistribution of several tight junction-associated proteins from bicellular cell-cell contacts to tricellular junctions. The regulation of tight junction protein localization at bicellular junctions by PALS1 was dependent on its interaction with PATJ. Together, our data uncover a critical role of PALS1 in the correct positioning of tight junction proteins to bicellular junctions.

cell biology↗

bioRxiv2023

Analysis of Differential Gene Expression and Core Canonical Pathways involved in the Epithelial to Mesenchymal Transition of Triple Negative Breast Cancer Cells by Ingenuity Pathway Analysis.

Triple Negative Breast Cancer (TNBC) is a malignant form of cancer with very high mortality and morbidity. Epithelial to Mesenchymal Transition (EMT) is the most common pathophysiological change observed in cancer cells of epithelial origin that promotes metastasis, drug resistance and cancer stem cell formation. Since the information regarding differential gene expression in TNBC cells and cell signaling events leading to EMT is limited, this investigation was done by comparing transcriptomic data generated by RNA isolation and sequencing of a EMT model TNBC cell line in comparison to regular TNBC cells. RNA sequencing and Ingenuity Pathway Software Analysis (IPA) of the transcriptomic data revealed several upregulated and downregulated gene expressions along with novel core canonical pathways including Sirtuin signaling, Oxidative Phosphorylation and Mitochondrial dysfunction events involved in EMT changes of the TNBC cells.

cancer biology↗

bioRxiv2023

p53 translational isoform {triangleup}40p53 orchestrates cellular SGSH levels via microRNA-4671-5p to modulate cell cycle

{Delta}40p53, the only translational isoform of p53, modulates the full-length p53 (FLp53) activity and independently regulates targets such as the miR-186-5p-YY1 axis. To identify additional miRNAs regulated by {Delta}40p53, we performed small RNA sequencing. We found that overexpression of {Delta}40p53, but not FLp53, significantly downregulated miR-4671-5p. Expression of both isoforms at varying ratios revealed that miR-4671-5p may be modulated by FLp53 in a {Delta}40p53-dependent manner. In silico analysis identified SGSH (N-sulfoglucosamine sulfohydrolase) as a potential miR-4671-5p target. SGSH expression showed inverse correlation with miR-4671-5p in cancer datasets and prognostic significance. SGSH mRNA and protein levels were reduced upon miR-4671-5p overexpression or si{Delta}40p53 treatment, confirming regulatory linkage. Functionally, miR-4671-5p overexpression induced intra-S-phase cell cycle arrest, implicating SGSH in cell cycle regulation. These results reveal a novel {Delta}40p53-miR-4671-5p-SGSH axis that impacts cell cycle progression and may contribute to cancer outcomes. Our findings highlight the distinct regulatory role of {Delta}40p53, independent of FLp53, in maintaining cellular and metabolic homeostasis via miRNA-mediated mechanisms.

molecular biology↗

bioRxiv2023

Semiconducting carbon nanotubes decrease neuronal bursting in a network of rat hippocampal neurons in vitro while increasing intrinsic excitability of single neurons

The diverse electrical, chemical and structural properties of the functional derivatives of carbon nanotubes (CNTs) have shown biomedical possibilities for neuroprosthesis or neural interfaces. However, the studies have been generally confined to metallic CNTs that affect cell viability unless chemically functionalized for biocompatibility. Here, we explored the effects of semiconducting single-walled carbon nanotubes (ssw-CNT), on the active electrical properties of dissociated hippocampal neurons in-vitro using multielectrode array, calcium imaging and whole-cell patch clamp recordings. The findings show that ssw-CNT treatment regulates neural network excitability from burst to tonic firing by changing the calcium dynamics. However, at a single neuronal level, ssw-CNT increases neuronal excitability.

neuroscience↗

bioRxiv2023

Bayesian Inference for Brain Source Imaging with Joint Estimation of Structured Low-rank Noise

The inverse problem in brain source imaging is the reconstruction of brain activity from non-invasive recordings of electroencephalography (EEG) and magnetoencephalography (MEG). One key challenge is the efficient recovery of sparse brain activity when the data is corrupted by structured noise that is low-rank noise. This is often the case when there are a few active sources of environmental noise and the MEG/EEG sensor noise is highly correlated. In this paper, we propose a novel robust empirical Bayesian framework which provides us a tractable algorithm for jointly estimating a low-rank noise covariance and brain source activity. Specifically, we use a factor analysis model for the structured noise, and infer a sparse set of variance parameters for source activity, while performing Variational Bayesian inference for the noise. One key aspect of this algorithm is that it does not require any additional baseline measurements to estimate the noise covariance from the sensor data. We perform exhaustive experiments on both simulated and real datasets. Our algorithm achieves superior performance as compared to several existing benchmark algorithms.

bioengineering↗

bioRxiv2023

Discovery of a Novel 3site State as the Multi-Substrate Bound State of P450cam

Archetypal metalloenzyme Cytochrome P450cam (CYP101A1) catalyzes regioselective hydroxylation of its native substrate camphor in heme active site. However, the proposal of potential existence of additional substrate binding modes distal from the active site in P450cam and their concomitant roles in regulating recognition at active site have remained a matter of recurring discourse. Herein we report the discovery of a novel 3site state in P450cam, where three substrate molecules were observed to simultaneously bind to P450cam at three distinct sites including the heme active site. These three binding modes, hereby referred as catalytic, waiting and allosteric binding modes in 3site state, are allosterically inter-linked and function in mutually synergistic fashion. The 3site state possesses regio-selective conformations of substrate essential for catalysis and establishes substrate-ingress and product exit process to and from the active site via two distinct channels. The ensemble of three-state binding modes are found to be self-consistent with NMR pseudo-contact shift data obtained from TROSY-HSQC measurements and DEER based predictions. Binding of redox partner Putidaredoxin with 3site model retains closed conformation of 3site state, siding with NMR based hypothesis that the catalysis would take place in closed insulation of P450cam even in presence of its redox partner. Statement of SignificanceUbiquitous superfamily of mono-oxygenases cytochrome P450s are involved in broad range of metabolic process in all domains of life and are also important drug targets. Apart from the well known and established binding mode in heme active site, the substrate bindings at additional distal sites have been postulated in multitude of P450s. Using the archetypal bacterial cytochrome P450 i.e., P450cam, a novel 3site state of cytochrome P450 is elucidated in this work. The novel 3site state has two additional binding modes namely waiting and allosteric (also postulated previously), apart from known binding mode catalytic in the active site. The known functions of P450cam are found to be most optimally explained by this 3site state, instead of single substrate bound catalytic state. This state can be of critical importance for CYP superfamily at large and potentially be useful in understanding the non-Michaelis behaviour, observed in many P450s.

biochemistry↗