Publications by authors named "S K Mendiratta"

Article Synopsis
  • * Fluorescent imaging is highlighted as a leading technology for detecting NO, with a total of 123 probes developed, including 41 new ones in the past five years focused on real-time detection at cellular levels.
  • * This review compiles research from 2019 to 2024 on NO-sensing fluorescent probes, categorizing 41 of them by their targeting of different organelles, and aims to aid in monitoring disease progression in various model organisms.
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Article Synopsis
  • Luminal Androgen Receptor (LAR) triple-negative breast cancers (TNBC) show high PIK3CA mutation rates and express androgen receptors, leading researchers to explore the effects of combining CDK4/6 and PI3K signaling inhibitors.
  • The combination of palbociclib and capivasertib was found to significantly inhibit the growth of LAR TNBC cells, outperforming the palbociclib and alpelisib combination, while the AR antagonist enzalutamide showed no effectiveness.
  • The study indicates that the adaptive response to CDK4/6 inhibition involves PDGFRβ signaling, and suggests testing combined CDK4/6 and AKT inhibitors, as well as PD
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Shiga toxigenic E. coli are important foodborne zoonotic pathogens. The present study was envisaged to standardize loop-mediated isothermal amplification assays targeting stx1 and stx2 genes for rapid and visual detection of STEC and compare its sensitivity with PCR.

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The present study aimed to determine carcass characteristics, meat quality, nutrient profiles, and sensory characteristics of Mithun meat. Sixteen Mithun were selected and divided into four groups, MM-4 (male; n = 4; <4 years of age), MM-47 (male; n = 4; 4-7 years of age), MF-4 (female; n = 4; <4 years of age), MF-47 (female; n = 4; 4-7 years of age). Carcass characteristics showed that adult males (MM-47) have significantly higher (P < 0.

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Article Synopsis
  • The study aimed to develop a validated method using RP-HPLC to analyze both the potency and related proteins in human insulin formulations simultaneously.
  • The method involves a specific mobile phase and conditions, achieving high sensitivity and accuracy for insulin quantification, with a detection limit of 0.094 mg/ml and accuracy between 99-102.8%.
  • By combining the analysis into a single run, the approach aims to save time and costs for quality control in manufacturing and regulatory settings, potentially improving the availability of high-quality insulin products for public health.
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