Publications by authors named "Aastha Chhabra"

Stimulating β-adrenergic receptors (β-AR) culminates in pathological hypertrophy - a condition underlying multiple cardiovascular diseases (CVDs). The ensuing signal transduction network appears to involve mutually communicating phosphorylation-cascades and redox signaling modules, although the regulators of redox signaling processes remain largely unknown. We previously showed that HS-induced Glucose-6-phosphate dehydrogenase (G6PD) activity is critical for suppressing cardiac hypertrophy in response to adrenergic stimulation.

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Brain is well known for its disproportionate oxygen consumption and high energy-budget for optimal functioning. The decrease in oxygen supply to brain, thus, necessitates rapid activation of adaptive pathways - the absence of which manifest into vivid pathological conditions. Amongst these, oxygen sensing in glio-vascular milieu and HS-dependent compensatory increase in cerebral blood flow (CBF) is a major adaptive response.

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Hydrogen Sulfide (HS), recently identified as the third endogenously produced gaseous messenger, is a promising therapeutic prospect for multiple cardio-pathological states, including myocardial hypertrophy. The molecular niche of HS in normal or diseased cardiac cells is, however, sparsely understood. Here, we show that β-adrenergic receptor (β-AR) overstimulation, known to produce hypertrophic effects in cardiomyocytes, rapidly decreased endogenous HS levels.

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Gelatin zymography, first described by Heussen and Dowdle in the 1980s, is a widely used valuable tool in research and diagnostics. The technique identifies gelatinases by the degradation of their preferential substrate as well as by their molecular weight (kDa). We here describe detailed methodology for the detection of pro- and active- forms of both MMP-2 (gelatinase A) and MMP-9 (gelatinase B) in cells using norepinephrine-stimulated H9c2 cardiomyoblasts as model.

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Zymography has long been used for the detection of substrate-specific enzyme activity. In situ zymography (ISZ), an adaptation from the conventional substrate zymography, is a widely employed technique useful for the detection, localization, and estimation of enzyme-substrate interactions in tissues. Here, we describe a protocol to detect 'in position' matrix metalloproteinase (MMP) activity in cells utilizing H9c2 cardiomyoblasts as a model.

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Hypobaric Hypoxia (HH) is an established risk factor for various neuro-physiological perturbations including cognitive impairment. The origin and mechanistic basis of such responses however remain elusive. We here combined systems level analysis with classical neuro-physiological approaches, in a rat model system, to understand pathological responses of brain to HH.

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Background: Extracellular matrix (ECM) remodeling facilitates biomechanical signals in response to abnormal physiological conditions. This process is witnessed as one of the major effects of the stress imposed by catecholamines, such as epinephrine and norepinephrine (NE), on cardiac muscle cells. Matrix metalloproteinases (MMPs) are the key proteases involved in degradation of the ECM in heart.

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In situ zymography is a unique technique for detection and localization of enzyme-substrate interactions majorly in histological sections. Substrate with quenched fluorogenic molecule is incorporated in gel over which tissue sections are mounted and then incubated in buffer. The enzymatic activity is observed in the form of fluorescent signal.

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The extracellular matrix is fast emerging as important component mediating cell-cell interactions, along with its established role as a scaffold for cell support. Collagen, being the principal component of extracellular matrix, has been implicated in a number of pathological conditions. However, collagens are complex protein structures belonging to a large family consisting of 28 members in humans; hence, there exists a lack of in depth information about their structural features.

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The identification of specific target proteins for any diseased condition involves extensive characterization of the potentially involved proteins. Members of a protein family demonstrating comparable features may show certain unusual features when implicated in a pathological condition. Advancements in the field of computational biology and the use of various bioinformatics tools for analysis can aid researchers to comprehend their system of work in primary stages of research.

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