Harnessing Trichoderma asperellum: Tri-Trophic Interactions for Enhanced Black Gram Growth and Root Rot Resilience.

Root rot caused by Macrophomina phaseolina, a common soil-borne disease in black gram, is managed with chemical fungicides, leading to toxicity and degradation of beneficial soil microbes. Existing bioagents, like talc formulation, cause leaching, clogging, and reduced productivity. The development of liquid bio-formulation via drip irrigation is crucial to mitigate biotic stress and maximize yield.

Microbiome-Gut-Brain Axis: A Pathway for Improving Brainstem Serotonin Homeostasis and Successful Autoresuscitation in SIDS-A Novel Hypothesis.

Sudden infant death syndrome (SIDS) continues to be a major public health issue. Following its major decline since the "Back to Sleep" campaign, the incidence of SIDS has plateaued, with an annual incidence of about 1,500 SIDS-related deaths in the United States and thousands more throughout the world. The etiology of SIDS, the major cause of postneonatal mortality in the western world, is still poorly understood.

Infantile hemangiomas and retinopathy of prematurity: possible association.

Objective: The goal was to study the clinical association between infantile hemangiomas and retinopathy of prematurity in preterm infants.

Methods: A retrospective study of preterm neonates weighing View Article and Find Full Text PDF

Gastric Cancer (Biomarkers) Knowledgebase (GCBKB): A Curated and Fully Integrated Knowledgebase of Putative Biomarkers Related to Gastric Cancer.

The Gastric Cancer (Biomarkers) Knowledgebase (GCBKB) (http://biomarkers.bii.a-star.

A novel normalization method for effective removal of systematic variation in microarray data.

Normalization of cDNA and oligonucleotide microarray data has become a standard procedure to offset non-biological differences between two samples for accurate identification of differentially expressed genes. Although there are many normalization techniques available, their ability to accurately remove systematic variation has not been sufficiently evaluated. In this study, we performed experimental validation of various normalization methods in order to assess their ability to accurately offset non-biological differences (systematic variation).