Peeling away pancreatic cancers' defenses

A combination immunotherapy approach that gets through pancreatic cancers’ extra Read more

Immune cell activation in severe COVID-19 resembles lupus

In severe cases of COVID-19, Emory researchers have been observing an exuberant activation of B cells, resembling acute flares in systemic lupus erythematosus (SLE), an autoimmune disease. The findings point towards tests that could separate some COVID-19 patients who need immune-calming therapies from others who may not. It also may begin to explain why some people infected with SARS-CoV-2 produce abundant antibodies against the virus, yet experience poor outcomes. The results were published online on Oct. Read more

Muscle cell boundaries: some assembly required

The worm C elegans gives insight into muscle cell assembly + architecture Read more

genetics and molecular biology

Muscle cell boundaries: some assembly required

With cold weather approaching, many are digging out old jackets to find that the zippers don’t function as well as they used to. This is a good way to understand disruptions of muscle cell attachment studied by Emory cell biologist Guy Benian’s lab. 

Benian and colleagues have a paper on muscle cell biology in Nature Communications this week. In the worm C. elegans, they show how mutations cause junctions between muscle cells, which normally look like well-aligned zippers under the microscope, to either not form, or weaken and unravel. As a result, the mutant worms’ snake-like locomotion is impaired.

Zipper-like muscle cell boundaries are altered in pix-1 mutants

“This is yet another example in which research using the model genetic organism C. elegans has led to a new insight applicable to all animals, including humans,” Benian says. “Research on this organism has led to crucial advances in our understanding about development, cell death, aging and longevity, RNAi, microRNAs, epigenetics — and muscle.”

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Posted on by Quinn Eastman in Uncategorized Leave a comment

Sifting through signs of inflammation to analyze causes of Crohn’s disease

When studying Crohn’s disease – an inflammatory disorder of the gastrointestinal tract, a challenge is separating out potential causes from the flood of systemic inflammation inherent in the condition. Researchers led by Subra Kugathasan, MD recently published an analysis that digs under signs of inflammation, in an effort to assess possible causes.

Graduate student Hari Somineni, in Kugathasan’s lab, teamed up with Emory and Georgia Tech geneticists for a sophisticated approach that may have found some gold nuggets in the inflammatory gravel. The results were published in the journal Gastroenterology.

In studying Crohn’s disease, Emory + Georgia Tech researchers may have found some gold nuggets in the inflammatory gravel.

The group looked at DNA methylation in blood samples from pediatric patients with Crohn’s disease, both at diagnosis and after treatment and follow-up. The information came from blood samples from 164 children with Crohn’s disease and 74 controls, as part of the RISK study, which is supported by the Crohn’s & Colitis Foundation and Kugathasan leads.

DNA methylation is a dynamic process that can influence molecular phenotypes of complex diseases by turning the gene(s) on or off. The researchers observed that disrupted methylation patterns at the time of diagnosis in pediatric Crohn’s disease patients returned to those resembling controls following treatment of inflammation

“Our study emphasized how important it is to do longitudinal profiling – to look at the patients before and after treatment, rather than just taking a cross section,” Somineni says.

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Posted on by Quinn Eastman in Immunology Leave a comment

Gestational age estimated via DNA methylation

Researchers have developed a method for estimating developmental maturity of newborns. It is based on tracking DNA methylation, a structural modification of DNA, whose patterns change as development progresses before birth.

The new method could help doctors assess developmental maturity in preterm newborns and make decisions about their care, or estimate the time since conception for a woman who does not receive prenatal care during pregnancy. As a research tool, the method could help scientists study connections between the prenatal environment and health in early childhood and adulthood.

How advanced is the development of a newborn, possibly preterm baby? Geneticists have developed a method for estimating gestational age by looking at DNA methylation.

The study, led by Alicia Smith, PhD and Karen Conneely, PhD, used blood samples from more than 1,200 newborns in 15 cohorts from around the world. The results are published in Genome Biology.

Smith is an associate professor and vice chair of research for the Department of Gynecology and Obstetrics in the School of Medicine, and Conneely is an assistant professor in the Department of Human Genetics. The first author, Anna Knight, is a graduate student in the Genetics and Molecular Biology Program.

Gestational age, is normally estimated by obstetricians using ultrasound during the first trimester, by asking a pregnant woman about her last menstrual period, or by examining the baby at birth. Ultrasound is considered to be the most precise estimate of gestational age. This work extends upon earlier studies of DNA methylation patterns that change over development and predict age and age-related health conditions in children and adults.

The Emory team gathered DNA methylation data from previous studies examining live births and health outcomes, and used an unbiased statistical learning approach to select 148 DNA methylation sites out of many thousands in the genome. By examining methylation at those sites, gestational age could be accurately estimated between 24 and 44 weeks, the authors report. The median difference between age determined by DNA methylation and age determined by an obstetrician estimate was approximately 1 week.

The researchers also found that the difference between a newborn’s age predicted by DNA methylation and by an obstetrician may be another indicator of developmental maturity, and is correlated with birthweight, commonly used as an indicator of perinatal health. Read more

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