Browsing by Author "Pathak A.K."
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Item A Bivariate Teissier Distribution: Properties, Bayes Estimation and Application(Springer, 2024) Sharma V.K.; Singh S.V.; Pathak A.K.This article presents a bivariate extension of the Teissier distribution, whose univariate marginal distributions belong to the exponentiated Teissier family. Analytic expressions for the different statistical quantities such as conditional distribution, joint moments, and quantile function are explicitly derived. For the proposed distribution, the concepts of reliability and dependence measures are also explored in details. Both the maximum likelihood technique and the Bayesian approach are utilised in the process of parameter estimation for the proposed distribution with unknown parameters. Several numerical experiments are reported to study the performance of the classical and Bayes estimators for varying sample size. Finally, a bivariate data is fitted using the proposed distribution to show its applicability over the bivariate exponential, Rayleigh, and linear exponential distributions in real-life situations. � Indian Statistical Institute 2023.Item Development of a robust and generalizable algorithm "gQuant" for accurate normalizer gene selection in qRT-PCR analysis(Nature Research, 2024) Pathak A.K.; Kural S.; Singh S.; Kumar L.; Yadav M.; Gupta M.; Das P.; Jain G.The emergent role of nucleic acid-based biomarkers�microRNAs(miRNAs), long non-coding RNAs(lncRNAs), and messenger RNAs(mRNAs), is becoming increasingly prominent in disease diagnostics and risk assessment. qRT-PCR is the primary analytical method for quantitative measurement of biomarkers. Yet, the relative infancy of non-coding RNAs recognition as biomarkers poses a challenge due to the absence of a consensus on a universally accepted normalizer gene, an absolute requirement for accurate quantification. Current tools normalizer selection are fraught with statistical limitations and suboptimal graphical user interface for data visualisation. These deficiencies underscore the necessity for a balanced tool tailored to handle qRT-PCR datasets. Addressing the identified challenges, we have developed 'gQuant' tool crafted to address these limitations. We employed voting classifiers that combine predictions from multiple statistical methods. Tool's efficacy was validated through different available and in house data derived from urinary exosomal miRNAs datasets. Comparative analysis with existing tools revealed that their integrated methodologies could skew the ranking of normalizer genes, whereas 'gQuant' consistently yielded rankings characterised by lower standard-deviation, reduced covariance, and enhanced kernel density estimation values. Given 'gQuant's' promising performance, normalizer gene identification will be greatly improved, improving precision of gene expression quantification in a variety of research scenarios. The gQuant tool developed for this study is available for public use and can be accessed at [https://github.com/ABHAYHBB/gQuant-Tool]." � The Author(s) 2024.Item Genome-wide profiling of CBL interacting protein kinases (CIPKs) in banana unveils their role in abiotic stress signaling and stress tolerance enhancement(Elsevier B.V., 2024) Narwal P.; Singh R.K.; Pathak A.K.; Kumar D.; Negi N.P.Calcineurin B-like (CBL)-interacting protein kinases (CIPKs) play a crucial role in the complex molecular systems of plants, acting as coordinators in different plant development processes, manage hormone signaling, and respond to environmental stress. Despite their well-established importance in various physiological process, the CIPK gene family in banana has remained an unexplored, creating a knowledge gap that this research aims to address. Through comprehensive analysis, we identified and characterized 34 CIPK genes in the banana genome. Structural diversity analysis revealed distinct clades characterized by homologs with varying intron-rich and intron-poor members. Particularly, evolutionary conservation was observed in intron-less members. Exploring conserved motifs and physicochemical properties provided insights into the detailed structure of specific homologs. Subcellular localization predictions indicated that most CIPK proteins primarily reside in the cytoplasm and nucleus, indicating their involvement in essential cellular activities. The predicted chromosomal distribution pattern suggests that the CIPK gene family largely expanded through segmental duplications in the banana genome. The phylogenetic analysis has uncovered two monophyletic clades for intron-less and intron-containing homologs, providing insights into two separate evolutionary history and expansion of the CIPK gene family. The clustering pattern in the phylogeny suggest that sequence of CIPKs members in the different genomes are largely conserved during course of evolution after evolution of higher plants. However, a few members having diverse sequences that these homologs are evolving with higher rate of evolution. Diverse physiological roles of banana CIPKs members are further supported by the presence of numerous cis-acting elements associated with growth, development, hormone responsiveness, and stress, with certain MaCIPK promoters exhibiting multiple hormone-sensitive elements. The protein-protein interaction network sheds light on the functional associations between MaCIPKs and MaCBLs, highlighting specific clusters of interactions. 3D protein structure predictions provide additional insights, revealing variations among the MaCIPK proteins. Real-time expression analysis across various tissues and developmental stages emphasizes the significant roles played by CIPKs in plant development. Under stress conditions, 16 in leaves and 22 in root MaCIPK gene transcript levels were up �regulated in response to drought and cold stress. These insights into the dynamic expression and functional roles of CIPK genes provide valuable information for understanding the mechanisms underlying banana's resilience to stress, with direct implications for the development of stress-resistant banana varieties. Overall this research offers promising prospects for enhancing global food security by ensuring the sustainability of banana production in the face of changing environmental conditions. � 2024Item Pyrene-Appended Luminescent Probes for Selective Detection of Toxic Heavy Metals and Live Cell Applications(John Wiley and Sons Inc, 2024) Srivastava A.; Mishra G.; Pathak A.K.; Pandey S.; Awasthi C.; Pandey M.D.; Behera K.Heavy metal contamination has become a global environmental problem and currently drawn much attention from researchers in worldwide. High exposure to heavy metals can lead to problems like kidney, liver and brain damage, skin and lung cancer, etc. Rapid and sensitive detection of heavy metals is of immense importance in environmental monitoring. Over the past few decades, enormous efforts have been made to design various sensors to identify and monitor these harmful metal ions. In Comparison with other methods, fluorescence-based chemosensors have received extensive attention because of the advantages of high sensitivity, low cost, real-time monitoring, simple operation, etc. The pyrene derivatives are significant polycyclic aromatic hydrocarbons (PAHs) with strong fluorescence. They are widely used as fluorescent probes in many applications due to their easy modification, high fluorescence quantum yield, and strong fluorescence emission in live cells, outstanding cell permeability, and very low cytotoxicity. The SDG 6: Clean water and sanitation alarm a strong strategy, and careful identification of the risk connected to environmental pollutants needs urgent attention in this situation. Therefore, we highlight different types of pyrene-based fluorophores and the fluorescence mechanisms for the sensitive and selective detection methodology of Arsenic, Mercury, Cadmium, Lead, and Chromium heavy metals. � 2024 Wiley-VCH GmbH.
