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Singh, K.

Publications and source records attributed to Singh, K..

At least 127 records · Page 7Linked to original sources

Evolutions of reproductive traits have no life-history associated cost in Drosophila melanogaster selected for cold resistance

In insect species like Drosophila melanogaster, the ability to evolve greater resistance or evolution of certain traits under specific environmental conditions leads to energy trade-offs with other important life-history traits. A number of studies from multiple fields have documented the life-history associated cost. However, no known studies have assessed the life-history associated cost with evolved reproductive traits and increase egg viability in cold shock selected population. To explore this, we used replicate populations of D. melanogaster that have evolved reproductive traits and egg viability in response to increased resistance to non lethal cold shock. To assess life-history cost; we measured longevity, life time fecundity, Larvae to adults development time, and larvae to adults survival. We found that there were no significant differences in longevity, life time fecundity, larvae to adults survival, and male body weight between the selected and control populations. However, selected populations have significantly longer pre adults developmental time compared to their control population. Females from the selected populations were bigger in size compared to the control populations. These findings suggest that there is no life-history cost associated with the evolution of greater resistance in the aspect of faster recovery of egg viability and reproductive traits post cold-shock. It quite possible the cost of the evolution of reproductive traits and egg viability in response to cold shock resistant is paid in terms of reduced resistance to other stresses

evolutionary biology↗

Evolution of cross-tolerance to environmental stresses in populations of Drosophila melanogaster selected for increased resistance to cold stress

Cold stress is a critical environmental challenge that affects an organisms fitness-related traits. In Drosophila, increased resistance to specific environmental stress may lead to increased resistance to other kinds of stress. In the present study, we aimed to understand whether increased cold stress resistance in Drosophila melanogaster can facilitate their ability to tolerate other environmental stresses. For the current study, we used successfully selected replicate populations of D. melanogaster against cold shock and their control population. These selected populations have evolved several reproductive traits, including increased egg viability, mating frequency, male mating ability, ability to sire progenies, and faster recovery for mating latency under cold shock conditions. In the present work, we investigated egg viability and mating frequency with and without heat and cold shock conditions in the selected and their control populations. We also examined resistance to cold shock, heat shock, desiccation, starvation, and survival post-challenge with Staphylococcus succinus subsp. succinus PK-1 in the selected and their control populations. After cold-shock treatment, we found a 1.25 times increase in egg viability and a 1.57 times increase in mating frequency in the selected populations compared to control populations. Moreover, more males (0.87 times) and females (1.66 times) of the selected populations survived under cold shock conditions relative to their controls. After being subjected to heat shock, the selected populations egg viability and mating frequency increased by 0.30 times and 0.57 times, respectively, compared to control populations. Additionally, more selected males (0.31 times) and females (0.98 times) survived under heat shock conditions compared to the control populations. Desiccation resistance slightly increased in the females of the selected populations relative to their control, but we observed no change in the case of males. Starvation resistance decreased in males and females of the selected populations compared to their controls. Our findings suggest that the increased resistance to cold shock correlates with increased tolerance to heat stress, but this evolved resistance comes at a cost, with decreased tolerance to starvation.

evolutionary biology↗

Nicotine exposure and neuronal activity regulate Golgi membrane dispersal and distribution

How nicotine exposure produces long-lasting changes that remodel neural circuits with addiction is unknown. Here, we report that long-term nicotine exposure alters the trafficking of 4{beta}2-type nicotinic acetylcholine receptors (4{beta}2Rs) by dispersing and redistributing the Golgi apparatus. In cultured neurons, dispersed Golgi membranes were distributed throughout somata, dendrites and axons. Small, mobile vesicles in dendrites and axons lacked standard Golgi markers and were identified by other Golgi enzymes that modify glycans. Nicotine exposure increased levels of dispersed Golgi membranes, which required 4{beta}2R expression. Similar nicotine-induced changes occurred in vivo at dopaminergic neurons at mouse nucleus accumbens terminals, consistent with these events contributing to nicotines addictive effects. Characterization in vitro demonstrated that dispersal was reversible, that dispersed Golgi membranes were functional, and that membranes were heterogenous in size, with smaller vesicles emerging from larger "ministacks", similar to Golgi dispersal induced by nocadazole. Protocols that increased cultured neuronal synaptic excitability also increased Golgi dispersal, without the requirement of 4{beta}2R expression. Our findings reveal novel activity- and nicotine-dependent changes in neuronal intracellular morphology. These changes regulate levels and location of dispersed Golgi membranes at dendrites and axons, which function in local trafficking at subdomains.

neuroscience↗

Salinomycin inhibits epigenetic modulator EZH2 to enhance Death Receptors in Colon Cancer Stem Cells

Drug resistance is one of the trademark features of Cancer Stem Cells (CSCs). We and others have recently shown that paucity of functional death receptors (DR4/5) on the cell surface of tumor cells is one of the major reasons for drug resistance, but their involvement in the context of in CSCs is poorly understood. By harnessing CSC specific cytotoxic function of salinomycin, we discovered a critical role of epigenetic modulator EZH2 in regulating the expression of DRs in colon CSCs. Our unbiased proteome profiler array approach followed by ChIP analysis of salinomycin treated cells indicated that the expression of DRs, especially DR4 is epigenetically repressed in colon CSCs. Concurrently, EZH2 knockdown demonstrated increased expression of DR4/DR5, significant reduction of CSC phenotype such as spheroid formation in-vitro and tumorigenic potential in-vivo in colon cancer. TCGA data analysis of human colon cancer clinical samples shows strong inverse correlation between EZH2 and DR4. Taken together, this study provides an insight about epigenetic regulation of DR4 in colon CSCs and advocates that drug resistant colon cancer can be therapeutically targeted by combining TRAIL and small molecule EZH2 inhibitors.

cancer biology↗

Probabilistic atlas of the lateral parabrachial nucleus, medial parabrachial nucleus, vestibular nuclei complex and medullary viscero-sensory-motor nuclei complex in living humans from 7 Tesla MRI

The lateral parabrachial nucleus, medial parabrachial nucleus, vestibular nuclei complex and medullary viscero-sensory-motor nuclei complex (the latter including among others the solitary nucleus, vagus nerve nucleus, and hypoglossal nucleus) are anatomically and functionally connected brainstem gray-matter structures that convey signals across multiple modalities between the brain and the spinal cord to regulate vital bodily functions. It is remarkably difficult to precisely extrapolate the location of these nuclei from ex vivo atlases to conventional 3 Tesla in vivo images; thus, a probabilistic brainstem atlas in stereotaxic neuroimaging space in living humans is needed. We delineated these nuclei using single-subject high contrast 1.1 mm isotropic resolution 7 Tesla MRI images. After precise coregistration of nuclei labels to stereotaxic space, we generated a probabilistic atlas of their anatomical locations. Finally, we validated the nuclei labels in the atlas by assessing their inter-rater agreement, consistency across subjects and volumes. We also performed a preliminary comparison of their location and microstructural properties to histologic sections of a postmortem human brainstem specimen. In future, the resulting probabilistic atlas of these brainstem nuclei in stereotaxic space may assist researchers and clinicians in evaluating autonomic, vestibular and viscero-sensory-motor nuclei structure, function and connectivity in living humans using conventional 3 Tesla MRI scanners.

neuroscience↗

Predicting 30-day Hospital Readmissions Using Artificial Neural Networks with Medical Code Embedding

Reducing unplanned readmissions is a major focus of current hospital quality efforts. In order to avoid unfair penalization, administrators and policymakers use prediction models to adjust for the performance of hospitals from healthcare claims data. Regression-based models are a commonly utilized method for such risk-standardization across hospitals; however, these models often suffer in accuracy. In this study we, compare four prediction models for unplanned patient readmission for patients hospitalized with acute myocardial infarction (AMI), congestive health failure (HF), and pneumonia (PNA) within the Nationwide Readmissions Database in 2014. We evaluated hierarchical logistic regression and compared its performance with gradient boosting and two models that utilize artificial neural network. We show that unsupervised Global Vector for Word Representations embedding representations of administrative claims data combined with artificial neural network classification models significantly improves prediction of 30-day readmission. Our best models increased the AUC for prediction of 30-day readmissions from 0.68 to 0.72 for AMI, 0.60 to 0.64 for HF, and 0.63 to 0.68 for PNA compared to hierarchical logistic regression. Furthermore, risk-standardized hospital readmission rates calculated from our artificial neural network model that employed embeddings led to reclassification of approximately 10% of hospitals across categories of hospital performance. This finding suggests that prediction models that incorporate new methods classify hospitals differently than traditional regression-based approaches and that their role in assessing hospital performance warrants further investigation.

bioinformatics↗

Nano-twines to twine-bridges: Role of force exerting perpendicular lateral protrusions in fibroblastic cell contraction

Aligned extracellular matrix fibers enable fibroblasts to undergo myofibroblastic activation and lead to elongated cell morphology. The fibroblasts in turn contract to cause alignment of the extracellular matrix. This feedback process is critical in pathological occurrences such as desmoplasia and is not well understood. Using engineered fiber networks that serve as force sensors, we identify lateral protrusions with specific functions and morphology that are induced by elongated fibroblastic cells and which apply extracellular fiber-deflecting contractile forces. Lateral projections, named twines, produce twine bridges upon interacting with neighboring parallel fibers. These mature into \"perpendicular lateral protrusions\" (PLPs) that enable cells to spread laterally and effectively contract. Using quantitative microscopy, we show that the twines originate from the stratification of cyclic actin waves traversing the entire length of the cell. The primary twines swing freely in 3D and engage neighboring extracellular fibers. Once engaged, a lamellum extends from the primary twine and forms a second twine, which also engages with the neighboring fiber. As the lamellum fills in the space between the two twines, a sheet-like PLP is formed to contract effectively. By controlling the geometry of extracellular networks we confirm that anisotropic fibrous environments enable PLP formation, and these force-generating PLPs are oriented perpendicular to the parent cell body. PLP formation kinetics indicated mechanisms analogous to other/known actin-based structures. Our identification of force-exerting PLPs in anisotropic fibrous environments suggests an explanation for cancer-associated desmoplastic expansion at single-cell resolution, providing possible new clinical intervention opportunities.

cell biology↗

lncRNAKB: A comprehensive knowledgebase of long non-coding RNAs

We have assembled a comprehensive long non-coding RNA knowledgebase (lncRNAKB) of 77,199 annotated human lncRNAs (224,286 transcripts) by methodically integrating widely used lncRNAs resources. To facilitate functional characterization of lncRNAs, we employed Genotype-Tissue Expression (GTEx) project to provide tissue-specific gene expression profiles of lncRNAs in 31 solid organ tissues. Additional information includes network analysis to identify co-expressed gene modules to potentially delineate lncRNA function. Tissue-specificity, phylogenetic conservation scores and coding potential for lncRNAs are included. Finally, using whole genome sequencing data from GTEx, expression quantitative trait loci (cis-eQTL) regulated lncRNAs were calculated in all tissues. lncRNAKB is available at http://www.lncrnakb.org.

bioinformatics↗

IKAP - Identifying K mAjor cell Population groups in single-cell RNA-seq analysis

In single-cell RNA-seq analysis, clustering cells into groups and differentiating cell groups by marker genes are two separate steps for investigating cell identity. However, results in clustering greatly affect the ability to differentiate between cell groups. We develop IKAP - an algorithm identifying major cell groups that improves differentiating by tuning parameters for clustering. Using multiple datasets, we demonstrate IKAP improves identification of major cell types and facilitates cell ontology curation.

bioinformatics↗

Highly efficient genome editing in primary bronchial epithelial cells establishes FOXJ1 as essential for ciliation in human airways

The structure and composition of the bronchial epithelium is altered in respiratory diseases such as COPD and asthma, in which goblet cell hyperplasia and reduced numbers of ciliated cells impair mucociliary clearance. We describe a robust genome editing pipeline to interrogate modulators of primary human bronchial epithelial cell (HBEC) differentiation and function. By employing plasmid- and virus-free delivery of CRISPR/Cas9 to human airway basal cells we achieve highly efficient gene inactivation without the need for positive selection. Genome edited cells are differentiated at air liquid interface (ALI) into a pseudo-stratified epithelium. We focus on profiling ciliation using imaging cytometry coupled to confocal microscopy and immunohistochemistry. To our knowledge, this is the first study to describe highly efficient genome editing of ALI cultured primary HBECs. As proof of concept, we establish that inactivation of the gene encoding the transcription factor FOXJ1 in primary human airway basal cells precludes ciliation in ALI differentiated bronchial epithelia.

molecular biology↗

The stem rust fungus Puccinia graminis f. sp. tritici induces waves of small RNAs with opposing profiles during wheat infection

BackgroundSilencing of transposable elements (TEs) is essential for maintaining genome stability. Plants use small RNAs (sRNAs) to direct DNA methylation to TEs (RNA-directed DNA methylation; RdDM). Similar mechanisms of epigenetic silencing in the fungal kingdom have remained elusive. ResultsWe use sRNA sequencing and methylation data to gain insight into epigenetics in the dikaryotic fungus Puccinia graminis f. sp. tritici (Pgt), which causes the devastating stem rust disease on wheat. We use Hi-C data to define the Pgt centromeres and show that they are repeat-rich regions ([~]250 kb) that are highly diverse in sequence between haplotypes and, like in plants, are enriched for young TEs. DNA cytosine methylation is particularly active at centromeres but also associated with genome-wide control of young TE insertions. Strikingly, over 90% of Pgt sRNAs and several RNAi genes are differentially expressed during infection. Pgt induces waves of functionally diversified sRNAs during infection. The early wave sRNAs are predominantly 21 nts with a 5 uracil derived from genes. In contrast, the late wave sRNAs are mainly 22 nt sRNAs with a 5 adenine and are strongly induced from centromeric regions. TEs that overlap with late wave sRNAs are more likely to be methylated, both inside and outside the centromeres, and methylated TEs exhibit a silencing effect on nearby genes. ConclusionsWe conclude that rust fungi use an epigenetic silencing pathway that resembles RdDM in plants. The Pgt RNAi machinery and sRNAs are under tight temporal control throughout infection and might ensure genome stability during sporulation.

microbiology↗

HIV-1 subtype C with PYxE insertion has enhanced binding of gag-p6 to host cell protein ALIX and increased replication fitness

Human immunodeficiency virus type 1 subtype C (HIV-1C) has a natural deletion of a YPxL motif in its Gag-p6 late domain. This domain mediates the binding of Gag to host cell protein ALIX and subsequently facilitates viral budding. In a subset of HIV-1C infected individuals, the tetrapeptide insertion PYxE has been identified at the deleted YPxL motif site. Here, we report the consequences of PYxE insertion on the interaction with ALIX and the relevance regarding replication fitness and drug sensitivity. In our three HIV-1C cohorts, PYKE and PYQE were most prevalent among PYxE variants. Through in silico predictions and in vitro experiments, we showed that HIV-1C Gag has an increased binding to ALIX when PYxE motif is present. To go more into the clinical relevance of the PYxE insertion, we obtained patient-derived gag-pol sequences from HIV-1CPYxEi viruses and inserted them in a reference HIV-1. Viral growth was increased, and the sensitivity to protease inhibitor (PI) lopinavir (LPV) and nucleoside reverse transcriptase inhibitor tenofovir alafenamide (TAF) was decreased for some of the HIV-1C PYxE variants compared to wild-type variants. Our data suggest that PYxE insertion in Gag restores the ability of Gag to bind ALIX and correlates with enhanced viral fitness in the absence or presence of LPV and TAF. The high prevalence and increased replication fitness of the HIV-1C virus with PYxE insertion could indicate the clinical importance of these viral variants.\n\nImportanceGenomic differences within HIV-1 subtypes is associated with a varying degree of viral spread, disease progression, and clinical outcome. Viral budding is essential in the HIV-1 life cycle and mainly mediated through the interaction of Gag with host proteins. Two motifs within Gag-p6 mediate binding of host cell proteins and facilitate budding. HIV-1 subtype C (HIV-1C) has a natural deletion of one of these two motifs resulting in an inability to bind to host cell protein ALIX. Previously, we have identified a tetrapeptide (PYxE) insertion at this deleted motif site in a subset of HIV-1C patients. Here, we report the incidence of PYxE insertions in three different HIV-1C cohorts, and the insertion restores the binding of Gag to ALIX. It also increases viral growth even in the presence of antiretroviral drugs lopinavir and tenofovir alafenamide. Hence, PYxE insertion in HIV-1C might be biologically relevant for viruses and clinically significant among patients.

microbiology↗

A strain of an emerging Indian pathotype of Xanthomonas oryzae pv. oryzae defeats the rice bacterial blight resistance gene xa13 without inducing a clade III SWEET gene and is nearly identical to a recent Thai isolate

The rice bacterial blight pathogen Xanthomonas oryzae pv. oryzae (Xoo) injects transcription activator-like effectors (TALEs) that bind and activate host susceptibility (S) genes important for disease. Clade III SWEET genes are major S genes for bacterial blight. The resistance genes xa5, which reduces TALE activity generally, and xa13, a SWEET11 allele not recognized by the cognate TALE, have been effectively deployed. However, strains that defeat both resistance genes individually were recently reported in India and Thailand. To gain insight into the mechanism(s), we completely sequenced the genome of one such strain from each country and examined the encoded TALEs. Strikingly, the two strains are clones, sharing nearly identical TALE repertoires, including a TALE known to activate SWEET11 strongly enough to be effective even when diminished by xa5. We next investigated SWEET gene induction by the Indian strain. The Indian strain induced no clade III SWEET in plants harbouring xa13, indicating a pathogen adaptation that relieves dependence on these genes for susceptibility. The findings open a door to mechanistic understanding of the role SWEET genes play in susceptibility and illustrate the importance of complete genome sequence-based monitoring of Xoo populations in developing varieties with effective disease resistance.

pathology↗

Analysis of genetic control and QTL mapping of essential wheat grain quality traits in a recombinant inbred population

Wheat cultivars are genetically crossed for improving end use quality for apt traits as per need of baking industry and broad consumers preferences. The processing and baking qualities of bread wheat underlie into genetic make-up of a variety and influence by environmental factors and their interactions. WL711 and C306 derived recombinant inbred lines (RILs) population of 206 was used for phenotyping of quality related traits in three different environmental conditions. The genetic analysis of quality traits showed considerable variation for measurable quality traits with normal distribution and transgressive segregation across the years. From the 206 RIL, few RILs found to be superior to those of the parental cultivars for key quality traitsindicating their potential usefor improvement of end use quality and also suggestingprobability of finding new alleles and allelic combinations from the RIL population. A genetic linkage map including 346 markers was constructed withtotal map distance of 4526.8cM andinterval distance between adjacent markersof 12.9cM. Mapping analysis identified 38 putative QTLs for 13 quality related traits with QTLs explaining 7.9% - 16.8% phenotypic variation spanning over 14 chromosomes i.e. 1A, 1B, 1D, 2A, 2D, 3B, 3D, 4A, 4B, 4D, 5D, 6A, 7A and 7B. Major novel QTLs regions for quality traits have been identified on several chromosome in studied RIL population posing their potential role in marker assisted selection for better bread making quality after validation.

genetics↗

A Patient-Derived Cellular Model for Huntington Disease Reveals Phenotypes at Clinically Relevant CAG Lengths

The huntingtin protein participates in several cellular processes that are disrupted when the polyglutamine tract is expanded beyond a threshold of 37 CAG DNA repeats in Huntingtons disease (HD). Cellular biology approaches to understand these functional disruptions in HD have primarily focused on cell lines with synthetically long CAG length alleles that clinically represent outliers in this disease and a more severe form of HD that lacks age-onset. Patient-derived fibroblasts are limited to a finite number of passages before succumbing to cellular senescence. We used human telomerase reverse transcriptase (hTERT) to immortalize fibroblasts taken from individuals of varying age, sex, disease onset and CAG repeat length, which we have termed TruHD cells. TruHD cells display classic HD phenotypes of altered morphology, size and growth rate, increased sensitivity to oxidative stress, aberrant ADP/ATP ratios and hypophosphorylated huntingtin protein. We additionally observed dysregulated ROS-dependent huntingtin localization to nuclear speckles in HD cells. We report the generation and characterization of a human, clinically relevant cellular model for investigating disease mechanisms in HD at the single cell level, which, unlike transformed cell lines, maintains TP53 function critical for huntingtin transcriptional regulation and genomic integrity.

cell biology↗

Bcl11b is a Newly Identified Regulator of Vascular Smooth Muscle Phenotype and Arterial Stiffness

B-cell leukemia 11b (Bcl11b) is a zinc-finger transcription factor known as master regulator of T lymphocytes and neuronal development during embryogenesis. Bcl11b-interacting protein COUP-TFII is required for atrial development and vasculogenesis, however a role of Bcl11b in the adult cardiovascular system is unknown. A genome-wide association study (GWAS) recently showed that a gene desert region downstream of BCL11B and known to function as BCL11B enhancer harbors single nucleotide polymorphisms (SNPs) associated with increased arterial stiffness. Based on these human findings, we sought to examine relations between Bcl11b and arterial function using mice with Bcl11b deletion. We report for the first time that Bcl11b is expressed in vascular smooth muscle (VSM) and transcriptionally regulates the expression of VSM contractile proteins smooth muscle myosin and smooth muscle -actin. Lack of Bcl11b in VSM-specific Bcl11b null mice (BSMKO) resulted in increased expression of Ca++-calmodulin-dependent serine/threonine phosphatase calcineurin in BSMKO VSM cells, cultured in serum-free condition, and in BSMKO aortas, which showed an inverse correlation with levels of phosphorylated VASPS239, a regulator of cytoskeletal actin rearrangements. Moreover, decreased pVASPS239 in BSMKO aortas was associated with increased actin polymerization (F/G actin ratio). Functionally, aortic force, stress and wall tension, measured ex vivo in organ baths, were increased in BSMKO aortas and BSMKO mice had increased pulse wave velocity, the in vivo index of arterial stiffness, compared to WT littermates. Despite having no effect on baseline blood pressure or angiotensin II-induced hypertension, Bcl11b deletion in VSM increased the incidence of aortic aneurysms in BSMKO mice. Aneurysmal aortas from angII-treated BSMKO mice had increased number of apoptotic VSM cells. In conclusion, we identified VSM Bcl11b as a novel and crucial regulator of VSM cell phenotype and vascular structural and functional integrity.

physiology↗

Necrosis triggered by Mycobacterium tuberculosis alters macrophage triglyceride metabolism and inflammatory response in a DGAT1-dependent manner

Tuberculosis granulomas represent a site of controlling bacterial dissemination at the cost of host tissue damage. Within the heterogenous array of TB granulomas, some contain triglyceride (TG) rich foamy macrophages, the etiology and function of which remains largely unexplained. Here we show that necrosis of tuberculosis lesions and M. tuberculosis (Mtb) infected macrophages elicits a bystander response of triglyceride storage. We elucidate a role for the RD1 region of mycobacterial genome to be a key player in this phenomenon. TG storage in necrosis associated foamy macrophages promoted the pro-inflammatory state of macrophages while silencing expression of diacylglycerol O-acyltransferase (DGAT1) suppressed expression of pro-inflammatory genes. Surprisingly, acute infection with Mtb led to lipolysis of host TG, rather than synthesis, suggesting mobilization of triglyceride stored within macrophage lipid droplets to be involved in the inflammatory response to infection. Our data is likely to open new avenues for management of the inflammatory response during infection.

immunology↗

An indicator cell assay for blood-based diagnostics

We have established proof of principle for the Indicator Cell Assay Platform (iCAP), a broadly applicable tool for blood-based diagnostics that uses specifically-selected, standardized cells as biosensors, relying on their innate ability to integrate and respond to diverse signals present in patients blood. To develop an assay, indicator cells are exposed in vitro to serum from case or control subjects and their global differential response patterns are used to train reliable, cost-effective disease classifiers based on a small number of features. In a feasibility study, the iCAP detected pre-symptomatic disease in a murine model of amyotrophic lateral sclerosis (ALS) with 94% accuracy (p-Value=3.81E-6) and correctly identified samples from a murine Huntingtons disease model as non-carriers of ALS. In a preliminary human disease assay, the iCAP detected early stage Alzheimers disease with 72% cross-validated accuracy (p-Value=3.10E-3). For both assays, iCAP features were enriched for disease-related genes, supporting the assays relevance for disease research.

systems biology↗