Evren U. Azeloglu (@azeloglu) header
Evren U. Azeloglu (@azeloglu) profile picture

Associate Professor of Nephrology @IcahnMountSinai on BlueSky: https://teapawt.net/t.co/thJDJUsz4U

New York, NY
Joined July 2010
Photo by Evren U. Azeloglu (@azeloglu)Photo by Evren U. Azeloglu (@azeloglu)Photo by Evren U. Azeloglu (@azeloglu)Photo by Evren U. Azeloglu (@azeloglu)Photo by Evren U. Azeloglu (@azeloglu)Photo by Evren U. Azeloglu (@azeloglu)Photo by Evren U. Azeloglu (@azeloglu)Photo by Evren U. Azeloglu (@azeloglu)Photo by Evren U. Azeloglu (@azeloglu)Photo by Evren U. Azeloglu (@azeloglu)
Happy to share the first set of integrated results from our reference tissue atlas effort from Kidney Precision Medicine Project consortium @KPMProject out yesterday on @ScienceAdvances. 🧵 (1/4) science.org/doi/10.1126/scia…
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Evren U. Azeloglu retweeted
Super pleased to see this paper officially published! @azeloglu visited the @AICjanelia back in the spring of 2022 to use the MOSAIC and was able to generate some nice data to contribute to this piece. Read more here: science.org/doi/10.1126/scia…
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The renal immune infiltrate observed in autosomal polycystic kidney disease contributes to the evolution of the disease. This study found activation of the cGAS/STING pathway contributes to ADPKD cystogenesis bit.ly/JASN0305 @azeloglu
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Evren U. Azeloglu retweeted
Open-Source System for Real-Time Functional Assessment of In Vitro Filtration Barriers @IcahnMountSinai @EE_ColumbiaSEAS @azeloglu @BMESociety @SpringerNature Link: rdcu.be/dzwaM
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Dasatinib has been linked to nephrotoxicity. In this Podcast, Drs Benjamin Adegbite & @azeloglu discuss their findings that exposure to dasatinib was linked to a significant chance of developing proteinuria compared with similar tyrosine-kinase inhibitors bit.ly/CPOD0219
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Next up Dr. Alan Stern: "A biomimetic culture & machine vision system for drug discovery" @ISMMSKidney @azeloglu @IcahnMountSinai #Nephrology #Research
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Albeit with some delay, help me congratulate our lab’s first MERRIT Fellow, Tess Fallon, for winning the SB3C student paper competition!
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Tess, was among the first all-women class of MERRIT fellows last summer. In her spare time from being one of the top (and select female) electrical engineering students at Columbia, she continued her project with us. And clearly did an awesome job.
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I’ve been meaning to announce this for awhile, but the irony of tweeting out my female trainees’ successes while they are being robbed of their basic human rights was too much to handle.
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Evren U. Azeloglu retweeted
*The human kidney atlas* A new atlas called the Kidney Precision Medicine Project, constructed by researchers @IcahnMountSinai, @Princeton, @FlatironInst & @umichmedicine just dropped. 1/
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Proudly introducing the 2022 MERRIT Fellowship class:
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This year’s all-women fellowship class is the top of their respective classes. @womeninnephro They will work on all sorts of amazing stuff, from quantitative fluorescent lifetime analytics to ML-based renal digital pathology to racial disparities in healthcare.
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Thank you all MERRIT Mentors for your commitment to educating the next generation of physicians and scientists that will help end #kidneydisease.
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Our integrated analysis was able to reconstruct the subsegmental physiological activity for each cell type along the human nephron. And it will form the backbone of @KPMProject’s vision to reclassify and cure #kidneydisease. (3/4)
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This was obviously a gargantuan team effort, with co-authors from 15 international institutions. And I’m honored to have co-led the publication with Drs. Kretzler, Iyengar and Troyanskaya. (4/4)
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We are still #hiring!!! If you would like to work on #dataviz for #cancer and #Immunotherapy multi-omics datasets, join us! Postdoc positions open! DM or email me if interested. #Datavisualization
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Happy to share our latest @LINCSProgram TKI cardiotoxicity #proteomics dataset now published on @ScientificData: nature.com/articles/s41597-0…
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Everything open-access as it should be: primary and metadata on the LINCS Data Portal; raw spectra available on @ProteomeXchange; all code on GitHub. Shout out to long-time collaborators Iyengar Lab, @BD2KLINCSDCIC and @Rutgers_NJMS Proteomics Center for making this happen.
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