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Showing posts with the label cells

A railroad of cells: Computer simulations explain cell movement

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Originally published by the Institute of Science and Technology Austria, on June 19, 2024 Snapshots of the cell railroad. Cells stretch away from a fish scale (left) into artificial lanes (red) and form trains (middle) in different sizes (right). Credit: Vercurysse, Brückner et al./Nature Physics Looking under the microscope, a group of cells slowly moves forward in a line, like a train on the tracks . The cells navigate through complex environments. A new approach by researchers involving the Institute of Science and Technology Austria (ISTA) now shows how they do this and how they interact with each other . The experimental observations and the following mathematical concept are published in Nature Physics . The majority of the cells in the human body cannot move . Some specific ones , however, can go to different places . For example, in wound healing, cells move through the body to repair damaged tissue . They sometimes travel alone o r in different group sizes. Althou

Discovery shows how cells defend themselves during stressful situations

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Originally published by Lisbeth Heilesen, Aarhus University, on February 27, 2024 Figure shows stress granule formation after oxidative stress in wild-type cells and cells depleted for the ac4C acetyltransferase enzyme NAT10. Credit: Pavel Kudrin A recent study by an international research team has unveiled an exciting discovery about how our cells defend themselves during stressful situations . The research, published in EMBO Reports , shows that a tiny modification in the genetic material , called ac4C, acts as a crucial defender, helping cells create protective storage units known as stress granules . These stress granules safeguard important genetic instructions when the cell is facing challenges. The new findings could help shed light on relevant molecular pathways that could be targeted in disease . Stress granules are an integral part of the stress response that is formed from non-translating mRNAs aggregated with proteins. While much is known about stress granules,

Integrating AI with super-resolution microscopy for advancements in cellular biology

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     Originally published by Deborah Acheampong, Simon Fraser University, on December 11, 2023 MCS-DETECT captures MERC changes induced by RRBP1 knockdown. In 2014, the Nobel Prize in Chemistry celebrated the breakthroughs in super-resolution microscopy , a technology that allows us to capture highly detailed images of small parts of cells using fluorescent microscopy. Despite its success, the resolution of super-resolution microscopy still can't show tiny distances between organelles in cells.organelles This gap is where Artificial Intelligence (AI) and Biomedical Computer Vision intersect , as researchers from SFU Computing Science and UBC School of Biomedical Engineering and Life Sciences Institute reveal how AI enhances super-resolution microscopy capabilities and contributes to cellular biology advancements. Their mission is clear: to overcome the limitations of hardware (super-resolution microscopy) through innovative algorithms (AI) . Their latest work, pu