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@DGphysiology

Katılım Mart 2019
288 Takip Edilen206 Takipçiler
DG
DG@DGphysiology·
S-CUL3KO model demonstrated impaired renal baroreceptor mechanism leading to hypertension. Thanks to our collaborators and colleagues! More on the mechanism of HTN in S-CUL3KO ➡️ insight.jci.org/articles/view/…
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JCI insight
JCI insight@JCI_insight·
No pressure—but if the renal baroreceptor machinery piques your curiosity... @curtsigmund & team @MedicalCollege reveal mice lacking CUL3 in vascular smooth muscle cells exhibit robust hypertension with paradoxically unaltered renin expression and decreased integrin β1 expression. See the full report: insight.jci.org/articles/view/…
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DG
DG@DGphysiology·
More cookies for the Bake Sale have arrived! Thanks to our sponsors @crumbl and Nothing Bundt Cakes! @MCW_Postdoc
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MCWPostDoc
MCWPostDoc@MCW_Postdoc·
The Postdoc Advisory Committee is excited to announce Paws for a Cause, a fundraiser to support the Wisconsin Humane Society (WHS) and their incredible work caring for animals who need it most. 🐶🐱
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American Society of Nephrology
Explore a career in nephrology with the 2025 Kidney TREKS Program! 🌟 Explore Bar Harbor, ME, or Chicago, IL, and connect with a mentor to grow your research and career. Deadline: January 22, 2:00 p.m. EST. Apply Now! 🔗asn-online.org/treks 📷 Credits: Arvin Halim
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The Nobel Prize
The Nobel Prize@NobelPrize·
The 2024 #NobelPrize laureates in chemistry Demis Hassabis and John Jumper have successfully utilised artificial intelligence to predict the structure of almost all known proteins. In 2020, Hassabis and Jumper presented an AI model called AlphaFold2. With its help, they have been able to predict the structure of virtually all the 200 million proteins that researchers have identified. Since their breakthrough, AlphaFold2 has been used by more than two million people from 190 countries. Among a myriad of scientific applications, researchers can now better understand antibiotic resistance and create images of enzymes that can decompose plastic. Read more about their story: bit.ly/3XI7KK3
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