Research maps key signaling pathways linking calcium entry and exit in activated T cells

Like entrance and exit doors on a building, a cell's outer surface has doors — channels, pumps, and transporters that selectively control what molecules enter or exit. In the immune system, T cells possess unique sets of 'doors', including ones that specialize in calcium ion movement. Now, researchers describe a unique mechanism for coordinating these calcium entrance and exit 'doors' on T cells that helps them carry out their jobs and ensure normal immune function.

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DNA metabarcoding useful for analyzing human diet

A new study demonstrates that DNA metabarcoding provides a promising new method for tracking human plant intake, suggesting that similar approaches could be used to characterize the animal and fungal components of human diets. The study demonstrated that dietary plant DNA can be amplified and sequenced from human stool using methods commonly applied to wildlife studies.

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Histone modifications are the influencers of zygotic genome awakening

Scientists have observed changes to the gene-regulating factors during zebrafish development and discovered that modifications to 'histone H3', one of the proteins around which DNA is bound, play an important role in 'zygotic genome activation' or transition of control of zebrafish embryonic development from maternal material to the zygote.

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Scientists find timekeepers of gut's immune system

Shift work and jet lag disrupt not just sleep cycles, but feeding and digestive cycles as well. Such disruptions have been linked to risk of obesity, inflammatory bowel disease, infection, and other conditions. Now, researchers have identified an immune cell that helps set the daily rhythms of the gut. The findings open the door to new treatments for digestive ailments targeting such cells.

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New fluorescence method reveals signatures of individual microbes

Researchers have developed a new method that reveals the unique fluorescence patterns produced by individual cells in mixtures of bacteria, yeast and fungi. They combined confocal microscopy with micro-spectroscopy to determine the fluorescence signatures from different types of microbes. They trained machine learning systems to analyze the images and identify different individual cells and cell-types automatically, even those with very similar shapes and sizes.

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