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Ghosh, B.

Publications and source records attributed to Ghosh, B..

At least 37 records · Page 2Linked to original sources

Evolution of hierarchical switching pattern in antigenic variation of Plasmodium falciparum under variable host immunity

The var genes family encoding the variants of the erythrocyte membrane protein of Plasmodium falciparum is crucial for virulence of the parasite inside host. The transcriptional output of the var genes switches from one variant to other in a mutually exclusive fashion. It is proposed that a biased hierarchical switching pattern optimizes the growth and survival of the parasite inside the host. Apart from the hierarchical switching pattern, it is also well established that the intrinsic switching rates vary widely among the var genes. The centromeric protein like Var2csa is much more stable than the genes located at the telomeric and sub-telomeric regions of the chromosomes. In this study, we explored the evolutionary advantage achieved through selecting variable switching rates. Our theoretical analysis based on a mathematical model coupled with single cell RNA-seq data suggests that the variable switching rate is beneficial when cells expressing different variants are deferentially amenable to be cleared by the immune response. In fact, the variants which are cleared by the immune systems more efficiently are more stably expressed compared to a variant attacked by the immune system much less vigorously. The cells turn off expression of the variant quickly which is not cleared very efficiently. The evolutionary simulation shows that this strategy maximizes the growth of the parasite population under the presence of immune attack by the host. In corroboration with the result, we observed that stable variant has higher binding affinity to IgM from experimental data. Our study provides an evolutionary basis of widely variable switching rates of the var genes in Plasmodium falciparum.

systems biology↗

BrainProt(™) 3.0: Understanding Human Brain Diseases using comprehensively curated & Integrated OMICS datasets

BrainProt 3.0 is an integrative and simplified omics-based knowledge base of the human brain and its associated diseases. The current version of BrainProt includes six domains, which provide simplified, robust, and comprehensive data visualization to understand the human brain and its diseases/disorders based on proteomics, transcriptomics, public data curation, and integration strategies. Firstly, the HBDA (Human Brain Disease Atlas), index and navigator of BrainProt provides a resource table for 56 brain diseases. Secondly, Brain Disease Marker Curator (BDMC) and Brain Disease Drug Finder (BDDF) include a total of 20,202 diseases associated genes, more than 1,30,000 Chemical Target interactions, and around 2,145 Clinical Trial Information for more than 50 Brain Diseases. Thirdly, Brain Disease Transcriptome Map (BDTM) and Brain Disease Proteome Map (BDPM) integrate multi-omics data for 11 and 6 alarming brain diseases respectively. Currently, these two domains feature an expressional profile of 52 datasets, information of 1,868 samples, 3,657 DEPs, and 6,256 DEGs. Lastly, BrainProt also modifies and integrates the proteome and phosphoproteome data of the Inter-hemispheric Brain Proteome Map (IBPM). Overall, BrainProt is the first knowledgebase that connects different omics level information of brain diseases and provides a powerful scoring-based ranking platform to select and identify brain disease-associated markers, along with exploration of clinical trials, and drugs/chemical compounds to accelerate the identification of new disease markers and novel therapeutic strategies. The objectives of BrainProt are to support and follow the footsteps of the HBPP (Human Brain Proteome Project) by integrating different datasets to unravel the complexity of Human Brain and its associated diseases.

neuroscience↗

EphrinB2 knockdown in spinal cord astrocytes preserves diaphragm innervation in a mutant SOD1 mouse model of ALS

Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterized by motor neuron loss. Importantly, non-neuronal cell types such as astrocytes also play significant roles in disease pathogenesis. However, mechanisms of astrocyte contribution to ALS remain incompletely understood. Astrocyte involvement suggests that transcellular signaling may play a role in disease. We examined contribution of transmembrane signaling molecule ephrinB2 to ALS pathogenesis, in particular its role in driving motor neuron damage by spinal cord astrocytes. In symptomatic SOD1G93A mice (a well-established ALS model), ephrinB2 expression was dramatically increased in ventral horn astrocytes. Reducing ephrinB2 in the cervical spinal cord ventral horn via viral-mediated shRNA delivery reduced motor neuron loss and preserved respiratory function by maintaining phrenic motor neuron innervation of diaphragm. EphrinB2 expression was also elevated in human ALS spinal cord. These findings implicate ephrinB2 upregulation as both a transcellular signaling mechanism in mutant SOD1-associated ALS and a promising therapeutic target.

neuroscience↗

Proteomic discovery of chemical probes that perturb protein complexes in human cells

Most human proteins lack chemical probes, and several large-scale and generalizable small-molecule binding assays have been introduced to address this problem. How compounds discovered in such "binding-first" assays affect protein function, nonetheless, often remains unclear. Here, we describe a "function-first" proteomic strategy that uses size exclusion chromatography (SEC) to assess the global impact of electrophilic compounds on protein complexes in human cells. Integrating the SEC data with cysteine-directed activity-based protein profiling identifies changes in protein-protein interactions that are caused by site-specific liganding events, including the stereoselective engagement of cysteines in PSME1 and SF3B1 that disrupt the PA28 proteasome regulatory complex and stabilize a dynamic state of the spliceosome, respectively. Our findings thus show how multidimensional proteomic analysis of focused libraries of electrophilic compounds can expedite the discovery of chemical probes with site-specific functional effects on protein complexes in human cells.

biochemistry↗

Ribozyme-phenotype coupling in peptide-based coacervate protocells

Condensed coacervate phases are now understood to be important features of modern cell biology, as well as valuable protocellular models in origin of life studies and synthetic biology. In each of these fields, the development of model systems with varied and tuneable material properties is of great importance for replicating properties of life. Here, we develop a ligase ribozyme system capable of concatenating short RNA fragments into extremely long chains. Our results show that formation of coacervate microdroplets with the ligase ribozyme and poly(L-lysine) enhances ribozyme rate and yield, which in turn increases the length of the anionic polymer component of the system and imparts specific physical properties to the droplets. Droplets containing active ribozyme sequences resist growth, do not wet or spread on unpassivated surfaces, and exhibit reduced transfer of RNA between droplets when compared to controls containing inactive sequences. These altered behaviours, which stem from RNA sequence and catalytic activity, constitute a specific phenotype and potential fitness advantage, opening the door to selection and evolution experiments based on a genotype - phenotype linkage.

synthetic biology↗

Optimization of information transmission through a noisy biochemical pathway explains the choice of reaction rates

Living organisms are required to sense the environment accurately in order to ensure appropriate responses. The cells utilize specific signaling pathways to estimate the signal. The accuracy of estimating the input signal is severely limited by noise stemming from inherent stochasticity of the chemical reactions involved in signaling pathways. Cells employ multiple strategies to improve the accuracy by tuning the reaction rates, for instance amplifying the response, reducing the noise etc.. However, the pathway also consumes energy through incorporating ATP in phosphorylating key signaling proteins involved in the reaction pathways. In many instances, improvements in accuracy elicit extra energetic cost. For example, higher deactivation rate suppresses the basal pathway activity effectively amplifying the dynamic range of the response which leads to improvement in accuracy. However, higher deactivation rate also enhances the energy dissipation rate. Here, we employed a theoretical approach based on non-equilibrium thermodynamics of information to explore the role of accuracy and energetic cost in the performance of a MAPK signaling system. Our study shows that the accuracy-energy trade-off can explain the optimality of the reaction rates of the reaction pathways rather than accuracy alone. Our analysis elucidates the important role of the interplay between accuracy and related energetic cost in evolutionary shaping of the parameter space of signaling pathways.

systems biology↗

Machine learning approaches for classificationof Plasmodium falciparum life cycle stagesusing single-cell transcriptomes

Malaria, spread by the female Anopheles mosquito, is a highly fatal disease widespread in many parts of the world, causing 0.4 million deaths globally. Vital gene expressions form the basis in the detection of malaria infection levels. Quantification of malaria parasite infected RBCs and classification of its life cycle stages are done at macroscopic level by experts, for making informed decisions. Off late multiple computational approaches have been proposed to circumvent the problem of dimensionality leading to accurate predicted results. In this work a dimensionality reduction technique based on Genetic Algorithm (GA) is applied on P. falciparum single-cell transcriptomics to arrive at an optimized subset of features from the larger dataset. Features are chosen based on their class variants considering increased efficiency and accuracy, to separately transform the selected elements into a lower dimension. For the classification of the life cycle of malaria parasite based on single cell transcriptome data, a three-pronged approach employing the multiclass Support Vector Machine (SVM), Logistic Regression (LR) and Random Forest (RF) techniques is used. Distribution of cells was visualised and mapped using the R-based Seurat package. Further, we constructed protein interaction networks of the genes identified by the feature selection method and elucidated the role of the proteins in progression of the parasite through its life cycle. Our approach presents a novel protocol to implement ML techniques on scRNA seq datasets and subsequently harnessing the extracted information for biomarker/drug target detection.

bioinformatics↗

Blind spots on western blots: a meta-research study highlighting opportunities to improve figures and methods reporting

Western blotting is a standard laboratory method used to detect proteins and assess their expression levels. Unfortunately, poor western blot image display practices and a lack of detailed methods reporting can limit a readers ability to evaluate or reproduce western blot results. While several groups have studied the prevalence of image manipulation or provided recommendations for improving western blotting, data on the prevalence of common publication practices are scarce. We systematically examined 551 articles published in the top 25% of journals in neurosciences (n=151) and cell biology (n=400) that contained western blot images, focusing on practices that may omit important information. Our data show that most published western blots are cropped and blot source data are not made available to readers in the supplement. Publishing blots with visible molecular weight markers is rare, and many blots additionally lack molecular weight labels. Western blot methods sections often lack information on the amount of protein loaded on the gel, blocking steps and antibody labeling protocol. Important antibody identifiers like source, catalog number or RRID were omitted frequently for primary antibodies, and regularly for secondary antibodies. We present detailed descriptions and visual examples to help scientists, peer reviewers and editors to publish more informative western blot figures and methods. Additional resources include a toolbox to help scientists produce more reproducible western blot data, teaching slides in English and Spanish and an antibody reporting template.

cell biology↗

HDAC6 inhibitor ACY-1083 shows lung epithelial protective features in COPD

Airway epithelial damage is a common feature in respiratory diseases such as COPD and has been suggested to drive inflammation and progression of disease. These features manifest as remodeling and destruction of lung epithelial characteristics including loss of small airways which contributes to chronic airway inflammation. Histone deacetylase 6 (HDAC6) has been shown to play a role in epithelial function and dysregulation, such as in cilia disassembly, epithelial to mesenchymal transition (EMT) and oxidative stress responses, and has been implicated in several diseases. We thus used ACY-1083, an inhibitor with high selectivity for HDAC6, and characterized its effects on epithelial function including epithelial disruption, cytokine production, remodeling, mucociliary clearance and cell characteristics. Primary lung epithelial air-liquid interface cultures from COPD patients were used and the impacts of TNF, TGF-{beta}, cigarette smoke and bacterial challenges on epithelial function in the presence and absence of ACY-1083 were tested. Each challenge increased the permeability of the epithelial barrier whilst ACY-1083 blocked this effect and even decreased permeability in the absence of challenge. TNF was also shown to increase production of cytokines and mucins, with ACY-1083 reducing the effect. We observed that COPD-relevant stimulations created damage to the epithelium as seen on immunohistochemistry sections and that treatment with ACY-1083 maintained an intact cell layer and preserved mucociliary function. Interestingly, there was no direct effect on ciliary beat frequency or tight junction proteins indicating other mechanisms for the protected epithelium. In summary, ACY-1083 shows protection of the respiratory epithelium during COPD-relevant challenges which indicates a future potential to restore epithelial structure and function to halt disease progression in clinical practice.

cell biology↗

Proteomic analysis of liver tissue reveals Aeromonas hydrophila infection mediated modulation of host metabolic pathways in Labeo rohita

Aeromonas hydrophila (Ah) is an opportunistic Gram-negative bacterium and a serious global pathogen causing Motile Aeromonas Septicaemia (MAS) in fish and many other vertebrates. The pathogenesis of aeromonas septicaemia is complex and involves multiple perturbed pathways. Molecular analysis of host tissues could be a powerful approach to identify mechanistic and diagnostic immune signatures of disease. We performed a deep proteomic analysis of Labeo rohita liver tissue to examine changes in the host proteome during Ah infection. A total of 2525 proteins were identified of which 158 were found differentially expressed during Ah infection. Functional analysis of significant proteins identified the dysregulation of several metabolic enzymes, antioxidative proteins, cytoskeletal proteins and immune related proteins. Proteomic analysis revealed the alterations in the cellular defence mechanisms including phagolysosomal killing and apoptosis during Ah infection. Our systemic approach revealed the protein dynamics in the host cells to explore the putative biological processes underlying the metabolic reprogramming of the host cells during Ah infection. Our findings paved the way for future research into the role of Toll-like receptors (Tlr3), C-type lectins (Clec4e) and metabolic enzymes in Ah pathogenesis leading towards host directed immunotherapies to tackle the Ah infection in fish. IMPORTANCEBacterial disease is one of the most serious problems in aquaculture industry. Aeromonas hydrophila (Ah), a Gram-negative bacterium causes motile aeromonas septicaemia (MAS) in fish. Small molecules that target the metabolism of the host have recently emerged as potential treatment possibilities in infectious diseases. However, the ability to develop new therapies is hampered due to lack of knowledge about pathogenesis mechanisms and host-pathogen interactions. Molecular level analysis of host tissues could be helpful in finding mechanistic immunological markers of diseases. We examined alterations in the host proteome during Ah infection in Labeo rohita liver tissue to find cellular proteins and processes affected by Ah infection. Our systemic approach revealed protein dynamics underlying the host cells metabolic reprogramming during Ah infection. Our work is an important step towards leveraging host metabolism in targeting the disease by providing a bigger picture on proteome pathology correlation during Ah infection.

systems biology↗

Tubular lysosome induction couples animal starvation to healthy aging

Dietary restriction promotes longevity via autophagy activation. However, changes to lysosomes underlying this effect remain unclear. Using the nematode Caenorhabditis elegans, we show that induction of autophagic tubular lysosomes, which occurs upon dietary restriction or mTOR inhibition, is a critical event linking reduced food intake to lifespan extension. We find that starvation induces tubular lysosomes not only in affected individuals but also in well-fed descendants, and the presence of gut tubular lysosomes in well-fed progeny is predictive of enhanced lifespan. Furthermore, we demonstrate that expression of Drosophila SVIP, a tubular-lysosome activator in flies, artificially induces tubular lysosomes in well-fed worms and improves C. elegans health in old age. These findings identify tubular lysosomes as a new class of lysosomes that couples starvation to healthy aging. One-Sentence SummaryTubular lysosome induction promotes healthy aging.

cell biology↗

Oncogenic KRAS Requires Complete Loss of BAP1 Function for Development of Murine Intrahepatic Cholangiocarcinoma

Intrahepatic cholangiocarcinoma (ICC) is a primary biliary malignancy that harbors a dismal prognosis. Oncogenic mutations of KRAS and loss of function mutations of BRCA1-associated protein 1 (BAP1) have been identified as recurrent somatic alterations in ICC. However, an autochthonous genetically engineered mouse model of ICC that genocopies the co-occurrence of these mutations has never been developed. By crossing Albumin-Cre mice bearing conditional alleles of mutant Kras and/or floxed Bap1, Cre-mediated recombination within the liver was induced. Mice with hepatic expression of mutant KrasG12D alone (KA), bi-allelic loss of hepatic Bap1 (BhomoA), and heterozygous loss of Bap1 in conjunction with mutant KrasG12D expression (BhetKA) developed primary hepatocellular carcinoma (HCC), but no discernible ICC. In contrast, mice with homozygous loss of Bap1 in conjunction with mutant KrasG12D expression (BhomoKA) developed discrete foci of HCC and ICC. Further, the median survival of BhomoKA mice was significantly shorter at 24 weeks, when compared to median survival of [&ge;]40 weeks in BhetKA mice and approximately 50 weeks in BhomoA and KA mice (p <0.001). Microarray analysis performed on liver tissue from KA and BhomoKA mice identified differentially expressed genes in the setting of BAP1 loss and suggests that deregulation of ferroptosis might be one mechanism by which loss of BAP1 cooperates with oncogenic Ras in hepato-biliary carcinogenesis. Our autochthonous model provides an in vivo platform to further study this lethal class of neoplasm.

cell biology↗

Knockout of E-cadherin in adult mouse epithelium results in emphysema and airway disease

Chronic obstructive pulmonary disease (COPD) is a devastating lung disease, characterized by a progressive decline in lung function, alveolar loss (emphysema), and airflow limitation due to excessive mucus secretion (chronic bronchitis), that can occur even after the injurious agent is removed. It is slated to rise to the 3rd leading cause of death due to chronic disease by 2030 globally, and the 4th leading cause of death due to chronic disease in the USA. While there is substantial evidence indicating loss of E-cadherin in the lung epithelium of patients with COPD, it is not known if this is causal to the disease. We investigated if loss of E-cadherin can result in lung disease using in both in vitro models of primary, differentiated human cells and in mouse models. Using a cell type-specific promoter using Cre/LoxP mice system to knock-out E- cadherin in ciliated and alveolar epithelial cell (Type 1 and Type 2) populations in adult mouse models, we determined that loss of E-cadherin caused airspace enlargement, as well as increased airway hyperresponsiveness indicating that it does have a causative role in causing COPD. Strategies to upregulate CDH1 (encodes for E-cadherin) in CHBEs and cigarette-smoke injured NHBEs can rescue the dysfunctional epithelium.

cell biology↗

Loss of Rnf43 accelerates Kras-mediated neoplasia and remodels the tumor immune microenvironment in pancreatic adenocarcinoma

RNF43 is an E3 ubiquitin ligase that is recurrently mutated in pancreatic ductal adenocarcinoma (PDAC) and precursor cystic neoplasms of the pancreas. The impact of RNF43 mutations on PDAC is poorly understood and autochthonous models have not been sufficiently characterized. In this study we describe a genetically engineered mouse model (GEMM) of PDAC with conditional expression of oncogenic Kras and deletion of the catalytic domain of Rnf43 (KRC) in exocrine cells. We demonstrate that Rnf43 loss results in an increased incidence of high-grade cystic lesions of the pancreas and PDAC. Importantly, KRC mice have a significantly decreased survival compared to mice containing only an oncogenic Kras mutation. By use of single cell RNA sequencing we demonstrated that KRC tumor progression is accompanied by a decrease in macrophages, as well as an increase in T and B lymphocytes with evidence of increased immune checkpoint molecule expression and affinity maturation, respectively. This was in stark contrast to the tumor immune microenvironment observed in the Kras/Tp53 driven PDAC GEMM. Furthermore, expression of the chemokine, CXCL5, was found to be specifically decreased in KRC cancer cells by means of epigenetic regulation and emerged as a putative candidate for mediating the unique KRC immune landscape. This GEMM establishes RNF43 as a bona fide tumor suppressor gene in PDAC and puts forth a rationale for an immunotherapy approach in this subset of PDAC cases.

cancer biology↗

Mechanisms of lactic acid gustatory attraction in Drosophila

Sour has been studied almost exclusively as an aversive taste modality. Yet, recent work in Drosophila demonstrates that specific carboxylic acids are attractive at ecologically relevant concentrations. Here, we demonstrate that lactic acid is an appetitive and energetic tastant, which stimulates feeding through activation of sweet gustatory receptor neurons (GRNs). This activation displays distinct, mechanistically separable, stimulus onset and removal phases. Ionotropic receptor 25a (IR25a) primarily mediates the onset response, which shows specificity for the lactate anion and drives feeding initiation. Conversely, sweet gustatory receptors (Gr64a-f) mediate a non-specific removal response to low pH that primarily impacts ingestion. While mutations in either receptor family have marginal impacts on feeding, lactic acid attraction is completely abolished in combined mutants. Thus, specific components of lactic acid are detected through two classes of receptors to activate a single set of sensory neurons in physiologically distinct ways, ultimately leading to robust behavioural attraction.

neuroscience↗

Praja1 ubiquitin ligase facilitates degradation of polyglutamine proteins and suppresses polyglutamine-mediated toxicity

A network of chaperones and ubiquitin ligases sustain intracellular proteostasis, and is integral in preventing aggregation of misfolded proteins associated with various neurodegenerative diseases. Using cell-based studies of polyglutamine (polyQ) diseases: Spinocerebellar ataxia Type 3 (SCA3) and Huntingtons disease (HD), we aimed to identify crucial ubiquitin ligases that protect against polyQ aggregation. We report here that Praja1 (PJA1), a Ring-H2 ubiquitin ligase abundantly expressed in the brain is diminished when polyQ repeat proteins (Ataxin-3/Huntingtin) are expressed in cells. PJA1 interacts with polyQ proteins and enhances their degradation resulting in reduced aggregate formation. Down-regulation of PJA1 in neuronal cells increases polyQ protein levels vis-a-vis their aggregates rendering the cells vulnerable to cytotoxic stress. Finally, PJA1 suppresses polyQ toxicity in yeast and rescues eye degeneration in transgenic Drosophila model of SCA3. Thus, our findings establish PJA1 as a robust ubiquitin ligase of polyQ proteins and induction of which might serve as an alternative therapeutic strategy in handling cytotoxic polyglutamine aggregates.

cell biology↗

Dynamics of the COVID -19 Related Publications

BackgroundThis study aims to analyze the dynamics of the published articles and preprints of Covid-19 related literature from different scientific databases and sharing platforms. MethodsThe PubMed, Elsevier, and Research Gate (RG) databases were under consideration in this study over a specific time. Analyses were carried out on the number of publications as (a) function of time (day), (b) journals and (c) authors. Doubling time of the number of publications was analyzed for PubMed "all articles" and Elsevier published articles. Analyzed databases were (1A) PubMed "all articles" (01/12/2019-12/06/2020) (1B) PubMed Review articles (01/12/2019-2/5/2020) and (1C) PubMed Clinical Trials (01/01/2020-30/06/2020) (2) Elsevier all publications (01/12/2019-25/05/2020) (3) RG (Article, Pre Print, Technical Report) (15/04/2020-30/4/2020). FindingsTotal publications in the observation period for PubMed, Elsevier, and RG were 23000, 5898 and 5393 respectively. The average number of publications/day for PubMed, Elsevier and RG were 70.0 {+/-}128.6, 77.6{+/-}125.3 and 255.6{+/-}205.8 respectively. PubMed shows an avalanche in the number of publication around May 10, number of publications jumped from 6.0{+/-}8.4/day to 282.5{+/-}110.3/day. The average doubling time for PubMed, Elsevier, and RG was 10.3{+/-}4 days, 20.6 days, and 2.3{+/-}2.0 days respectively. In PubMed average articles/journal was 5.2{+/-}10.3 and top 20 authors representing 935 articles are of Chinese descent. The average number of publications per author for PubMed, Elsevier, and RG was 1.2{+/-}1.4, 1.3{+/-}0.9, and 1.1{+/-}0.4 respectively. Subgroup analysis, PubMed review articles mean and median review time for each article were <0|17{+/-}17|77> and 13.9 days respectively; and reducing at a rate of-0.21 days (count)/day. InterpretationAlthough the disease has been known for around 6 months, the number of publications related to the Covid-19 until now is huge and growing very fast with time. It is essential to rationalize the publications scientifically by the researchers, authors, reviewers, and publishing houses. FundingNone

scientific communication and education↗

Docosahexaenoic acid (DHA), a nutritional supplement, modulates steroid insensitivity in asthma

Asthmatics with poor steroid responsiveness are now found to use health services at higher frequency and contribute to socio-economic burden disproportionately. We have previously shown that a ω-6 fatty acid metabolite leads to a severe and steroid insensitive asthma-like condition in mice. Here, we investigated the role of retinoid-x-receptor gamma (RXRγ) and Docosahexaenoic acid (DHA), a ω3 fatty acid rexinoid ligand of RXR, on the features of steroid insensitivity in asthmatic condition. RXRγ was found to be reduced in the lungs of human asthmatics and mice with steroid insensitive allergic airway inflammation. RXRγ knockdown in naïve mice led to spontaneous asthma like features whereas RXRγ knockdown in allergic mice led to steroid insensitive asthma features. We observed while RXRγ binds to the glucocorticoid receptor (GR) gene and regulates its transcription, DHA increases the GRα expression in human bronchial epithelial cells and reverses the steroid insensitive features in mice with allergic airway inflammation. Docosahexaenoic acid (DHA), a ligand of RXR, was reduced in the sera of steroid-insensitive asthmatics. We conclude that DHA may prove to be a promising steroid sensitizing agent for the treatment of steroid insensitive asthmatics.Summary The molecular regulation of glucocorticoid receptor by retinoid-x-receptor gamma (RXRgama) has an implication in steroid insensitive asthma as we found that Docosahexaenoic acid (DHA), a nutritional supplement and natural ligand of RXRgamma, improves steroid sensitivity in steroid insensitive mice model of asthma and DHA levels are found to be low in steroid insensitive asthmatic patients.Competing Interest StatementThe authors have declared no competing interest.Abbreviations usedAAIAllergic airway inflammationAHRAirway hyper-responsivenessATRAAll-trans retinoic acidAUArbitrary unitsBALBronchoalveolar lavageBEAS-2BHuman bronchial epithelial cellsCECockroach allergen extractChIPChromatin Immunoprecipitation9CRA9-cis retinoic acidDEXDexamethasoneDHADocosahexaenoic acidDMSODimethyl sulfoxideELISAEnzyme-linked immunosorbent assayGAPDHGlyceraldehyde 3-phosphate dehydrogenaseGLucGaussia luciferaseGRαGlucocorticoid receptor alphaGREGlucocorticoid receptor elementH & EHaematoxylin and eosinIFNγInterferon gammaIgEImmunoglobulinE ILInterleukinKCKeratinocyte chemoattractant15-LOX15-lipoxygenaseMCF-7Human breast adenocarcinoma cell lineMCP1-αMonocyte chemoattractant protein1-αNF-κBNuclear Factor kappa-light-chain-enhancer of activated B cellsO.EOverexpressionOVAOvalbuminp38-MAPKp38 mitogen-activated protein kinasePBSPhosphate buffered salineRARRetinoic acid receptorPDTCPyrrolidinedithiocarbamateRXRERexinoid receptor elementRXRγRetinoid-x-receptor gamma13-S-HODE13-hydroxyoctadecadienoic acidSEMStandard error meansiRNASmall interfering RNASTAT-6Signal transducer and activator of transcription 6ThT helperVEHVehicleView Full Text

immunology↗