Srikant Rangaraju

705 posts

Srikant Rangaraju

Srikant Rangaraju

@rangarajulab

Vascular Neurologist, Neuroscientist, Glia, Neuro inflammation, Stroke and Neurodegeneration

Yale University, New Haven, CT Katılım Mart 2021
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Srikant Rangaraju
Srikant Rangaraju@rangarajulab·
Latest pre-print from our lab by Rashmi Kumari, @BowenGlia and Upasna Srivastava and co-authors! Kv1.3 inhibition alleviates neuropathology via neuroinflammatory and resilience pathways in a mouse model of Aβ pathology biorxiv.org/content/10.648…
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Lingyan Shi
Lingyan Shi@StimulatedRaman·
I am incredibly proud to share that my postdoc Yajuan has accepted a position as Tenure-Track Assistant Professor at Yale University. Please join me in congratulating her on this achievement! Many thanks to our colleagues, collaborators, friends, and group members.
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Srikant Rangaraju
Srikant Rangaraju@rangarajulab·
We hope these candidate panels can inform many facets of acute stroke care. Go team!! Cross‐Platform Proteomics and Machine Learning Algorithms Nominate Plasma Biomarkers of Stroke Diagnosis | Journal of the American Heart Association ahajournals.org/doi/10.1161/JA…
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Srikant Rangaraju
Srikant Rangaraju@rangarajulab·
New preprint by Eric Jang et al from our lab: Should be helpful to groups that use TurboID-based proximity proteomics in their research! Deeper neuronal and glial proteomic insights using an optimized pipeline for proximity labeling proteomics biorxiv.org/content/10.648…
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Yale Neuroscience
Yale Neuroscience@YaleNeuro·
TOMORROW @YaleNeuro x @KavliAtYale present #SYNAPSES, our senior postdoc symposium! 🙌 Hear from four incredible researchers 👩‍🔬🥼 as they share their latest discoveries and insights! 🗣️ You won't want to miss it! 🗓️
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Stephan A Mayer
Stephan A Mayer@stephanamayer·
Adding an antiplatelet agent to in pts with Atrial Fibrillation and Atherosclerosis adds no benefit in reducing AIS risk — and increases the risk of ICH jamanetwork.com/journals/jaman…
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Supratim Datta
Supratim Datta@taurine__·
The seminal paper of Shimon Sakaguchi published in 1995 @J_Immunol where he discovered CD4+ CD25+ cells that actively suppress autoimmunity. It was the first time T regulatory cells appeared in the literature. Not all Nobel Prize winning work need to be in glamorous journals.
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The Nobel Prize
The Nobel Prize@NobelPrize·
BREAKING NEWS The 2025 #NobelPrize in Physiology or Medicine has been awarded to Mary E. Brunkow, Fred Ramsdell and Shimon Sakaguchi “for their discoveries concerning peripheral immune tolerance.”
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Vidhya Rangaraju, PhD
Vidhya Rangaraju, PhD@RangarajuVidhya·
New preprint alert🚀 biorxiv.org/content/10.110… We show mitochondria remodel near synapses during brain plasticity for learning 🧠 Led by Monil Shah (@MPFNeuro IMPRS PhD student) using advanced microscopy & new algorithms revealing stunning neuronal beauty ✨🔬 Thank you, team!
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#沙龙娱乐|#欧博棋牌|#黄金矿工|#乐博招商|#鑫博
This month marks 10 years since I first moved to the U.S. to pursue my degree in neuroscience. My journey has been filled with growth, challenges, and incredible opportunities. I’m excited to reflect on this path and share my experiences with others who are beginning this journey
#沙龙娱乐|#欧博棋牌|#黄金矿工|#乐博招商|#鑫博 tweet media
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Wesley Rajaleelan
Wesley Rajaleelan@WRajaleelan·
Absolutely stoked to begin my new role as Chair of the Archives & Artefacts Committee of the @CASUpdate .As an ardent history buff I’m excited for the opportunity to help preserve, showcase, and celebrate the rich heritage of CAS @CASUpdate @ON_Anesthesia
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Richa Sharma, MD, MPH
Richa Sharma, MD, MPH@RichaSharmaMD·
Excited to share our study showing an association between left ventricular injury detected by cardiac MRI and incident risk of stroke and dementia in the MESA cohort. Left Ventricular Injury Detected by Cardiac MRI and Incident Ischemic Stroke and Dementia Risk | Neurology
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Alice Ting
Alice Ting@aliceyting·
Today we report the directed evolution of HUH (a sequence-sequence covalent protein tag for ssDNA labeling) into rHUH, a sequence-specific covalent protein tag for RNA labeling. rHUH was hard to engineer: the initial HUH template had no RNA activity, so we started with RNA-DNA hybrids. 30 rounds of selection on the yeast surface were required, and 7 cycles of library diversification. The final rHUH tag is 13.4 kD, has 12 mutations relative to HUH, and covalently labels as little as 1 nM target RNA within minutes. The labeling works well in mammalian cell lysate, but not yet in the interior of living cells – possibly due to the high Mg2+ requirement and imperfect sequence specificity resulting in significant background labeling of endogenous transcripts. There is still work to be done for this to be a dream tool for RNA imaging/editing/mapping in living cells, but rHUH provides a good starting point and it is definitely good enough for in vitro applications. Congratulations to postdoc @RongbingHuang, whose creativity, persistence, and resourcefulness made rHUH possible! We are grateful to NSF and Biohub for funding this work. pnas.org/doi/10.1073/pn…
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