Publications by authors named "Pranjal Srivastava"

Understanding how neural circuits integrate sensory and state information to support context-dependent behavior is a central challenge in neuroscience. Oviposition is a complex process during which a fruit fly integrates context and sensory information to choose an optimal location to lay her eggs. The circuit that controls oviposition is known, but how the oviposition circuit integrates multiple sensory modalities and internal states is not.

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Unlabelled: Understanding how neural circuits integrate sensory and state information to support context-dependent behavior is a central challenge in neuroscience. Oviposition is a complex process during which a fruit fly integrates context and sensory information to choose an optimal location to lay her eggs. The circuit that controls oviposition is known, but how the oviposition circuit integrates multiple sensory modalities and internal states is not.

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Fascinating aspects of morphogenetic and behavioral plasticity of living material are revealed by novel constructs that self-construct from genetically wild-type cells. Anthrobots arise from cultured adult human airway epithelial cells, developing, becoming self-motile, and acquiring neural repair capabilities without exogenous genetic circuits or inorganic scaffolds. Progress in bioengineering and regenerative medicine depends on developing a predictive understanding of collective cell behavior in novel circumstances.

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Tests that can predict whether a drug is likely to extend mouse lifespan could speed up the search for anti-aging drugs. We have applied a machine learning algorithm, XGBoost regression, to seek sets of plasma metabolites that can discriminate control mice from mice treated with an anti-aging diet (caloric restriction) or any of four anti-aging drugs. When the model is trained on any four of these five interventions, it predicts significantly higher lifespan extension in mice exposed to the intervention which was not included in the training set.

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Significance: Research on the conditions under which electronic cigarette (EC) use produces a net reduction in the population harm attributable to combusted cigarette (CC) use requires the triangulation of information from cohort(s) of smokers, non-smokers, EC users, and dual-users of all varieties.

Materials And Methods: This project utilizes data from the All of Us Research Program to contrast a panel of wellness and disease-risk indicators across a range of self-reported tobacco-use profiles, including smokers, current, and former EC users. This article focuses on the tobacco use history and current tobacco use status among All of Us participants enrolled between May 2017 and February 2023 (Registered Controlled Tier Curated Data Repository [CDR] v7).

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Article Synopsis
  • Fundamental knowledge gaps exist regarding how adult human cells can change and what kinds of shapes and behaviors these genetically normal cells can exhibit when turned into living constructs called anthrobots.
  • Anthrobots are bio-robots derived from human lung cells that can form into small spheroid shapes (30-500 microns) and move using cilia, showing diverse behaviors including various movement patterns and speeds.
  • These anthrobots can repair damaged human neural cell sheets in lab settings, and their different shapes and structures are linked to their movement types, highlighting the potential of manipulating their environments to discover new biological functions without altering their genetic material directly.
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Developmental bioelectricity is the study of the endogenous role of bioelectrical signaling in all cell types. Resting potentials and other aspects of ionic cell physiology are known to be important regulatory parameters in embryogenesis, regeneration, and cancer. However, relevant quantitative measurement and genetic phenotyping data are distributed throughout wide-ranging literature, hampering experimental design and hypothesis generation.

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Background: Obesity is a very common disorder resulting from an imbalance between food intake and energy expenditure, and it has a substantial impact on the development of chronic diseases. The aim of this study was to examine the association of INSIG2 (rs7566605) gene polymorphism with obesity and obesity associated phenotypes in North Indian subjects.

Methods: The variants were investigated for association in 642 obese and non-obese individuals.

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Objectives: The aim of the study was to investigate the association of 55 SNPs in 28 genes with obesity risk in a North Indian population using a multianalytical approach.

Methods: Overall, 480 subjects from the North Indian population were studied using strict inclusion/exclusion criteria. SNP Genotyping was carried out by Sequenom Mass ARRAY platform (Sequenom, San Diego, CA) and validated Taqman allelic discrimination (Applied Biosystems ).

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Background: Obesity is an increasingly important health problem worldwide as well as in developing countries like India. Recent genetic studies suggest that obesity associated FTO and IRX3 are functionally linked and many effects due to genetic variants in FTO gene act through IRX3.

Aim: To evaluate the association of FTO and IRX3 genetic variants towards obesity risk.

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Background: Obesity is a multi-factorial disorder influenced by genetic and environmental factors. The physiological pathways associated with obesity are complex and involve several genes.

Aim: The aim of this survey is to evaluate the association of genetic variants of melanocortin-4-receptor (MC4R), pro-opiomelanocortin (POMC), apolipoprotein E (APOE) and agouti-related protein (AGRP) with obesity in the North Indian population.

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