Publications by authors named "Subramanian Ramachandran"

Cancer is characterized by unregulated cell proliferation, enabling it to invade and spread to different organs and tissues in the body. Cancer progression is intricately influenced by the complex dynamics within the tumor microenvironment (TME). The TME is a composite and dynamic network comprising cancer cells and various immune cells, including tumor-associated macrophages.

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The COVID-19 pandemic, caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is not showing any sign of slowing down even after the ongoing efforts of vaccination. The threats of new strains are concerning, as some of them are more infectious than the original one. A therapeutic against the disease is, therefore, of urgent need.

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The use of machine learning techniques to expedite the discovery and development of new materials is an essential step towards the acceleration of a new generation of domain-specific highly functional material systems. In this paper, we use the test case of bulk metallic glasses to highlight the key issues in the field of high throughput predictions and propose a new probabilistic analysis of rules for glass forming ability using rough set theory. This approach has been applied to a broad range of binary alloy compositions in order to predict new metallic glass compositions.

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A high-throughput, sensitive, and rugged liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for the rapid quantitation of β-hydroxy-β-methylbutyrate (HMB) in human plasma has been developed and validated for routine use. The method uses 100 μL of plasma sample and employs protein precipitation with 0.1% formic acid in methanol for the extraction of HMB from plasma.

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Background: The loss of muscle mass is considered to be a major factor contributing to strength decline during aging. β-Hydroxy-β-Methylbutyrate (HMB), a metabolite of leucine has been shown to enhance muscle protein synthesis and attenuate loss of muscle mass by multiple pathways. However, the production and regulation of endogenous levels of HMB over the lifespan have not been investigated.

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The importance of appropriate sample management in regulated bioanalysis is undeniable for clinical and non-clinical study support due to the fact that if the samples are compromised at any stage prior to analysis, the study results may be affected. Health authority regulations do not contain specific guidance on sample management; therefore, as part of the Global Bioanalysis Consortium (GBC), the A5 team was established to discuss sample management requirements and to put forward recommendations. The recommendations from the team concern the entire life span of the sample and include the following: 1.

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Trace elements are analyzed in the human scalp hair to assess the extent of body burden of pollution. The levels of seven elements (Cd, Cr, Cu, Mn, Ni, Pb and Zn) were determined in the hair of fishermen from Pondicherry, students and businessmen from Madras and non-mining workers from Neyveli lignite open mine. When compared between them, significantly high concentrations of Cd in the non-mining workers from Neyveli and Pb in both the students and businessmen from Madras were observed, thereby indicating environmental source of Cd and Pb pollution.

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