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Research suggests two protein coding genes can predict severe COVID-19

In a recent study posted to the medRxiv* pre-print server, researchers demonstrated that two genes, GTPase, IMAP Family Member 7 (GIMAP7), and sphingosine-1-phosphate receptor 2 (S1PR2), have the potential to predict severe coronavirus disease 2019 (COVID-19) with ~90% accuracy.
Transcriptomics Meta Marcin Janiec Severe Infection Automated Reproducible Gini Impurity Coronavirus Disease Covid 19

Study identifies an epigenetic regulator that suppresses pathogenic events in rheumatoid arthritis

Rheumatoid arthritis (RA) is characterized by chronic inflammation of synovium, eventually leading to joint destruction. Epigenetic alteration (the mechanism of gene expression regulation without DNA sequence changes), such as low levels of DNA methylation, is one of the factors which worsens the RA state.
Emily Henderson Rheumatoid Arthritis Na Methylation Ene Expression

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Cellular changes in astrocytes play a crucial role in regulating outcomes for CNS disorders

Investigators at Cedars-Sinai have comprehensively mapped molecular activity in the brain and spinal cord that is responsible for regulating the body's response to central nervous system (CNS) disorders such as Alzheimer's, Huntington's disease and spinal cord injuries.
Sarah Mccallum Keshav Suresh Joshua Burda Michael Sofroniew Emily Henderson Burda Lab

Stem cell model could provide insights into biological mechanisms that underlie neuropsychiatric disorders

Researchers from the Icahn School of Medicine at Mount Sinai have applied a novel stem cell model to map disease risk variants in human neurons, which could help provide insights into the biological mechanisms that underlie neuropsychiatric disorders such as autism and schizophrenia.
Nan Yang Emily Henderson Icahn School Of Medicine Mount Sinai Ronaldm Loeb Center Icahn School Of Medicine At Mount Sinai Mount Sinai Health System

"Multienvironment QTL analysis delineates a major locus associated with" by Harsh Raman, Rosy Raman et al.

Canola varieties exhibit variation in drought avoidance and drought escape traits, reflecting adaptation to water-deficit environments. Our understanding of underlying genes and their interaction across environments in improving crop productivity is limited. A doubled haploid population was analysed to identify quantitative trait loci (QTL) associated with water-use efficiency (WUE) related traits. High WUE in the vegetative phase was associated with low seed yield. Based on the resequenced pare...
Carbon Isotope Discrimination Rought Avoidance Ene Expression Genetic Analysis Water Use
Source: uow.edu.au

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