Jan Lanzer
@jan_lanzer
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MD/PhD @saezlab, with interest in computational biology and cardiology https://t.co/k2o8CSMATp
Joined February 2021
Glad to share this online: we’ve expanded our transcriptomics meta-analysis of heart failure to the multicellular level. Check out how you can use this reference to support your own data analysis! This was another rewarding team effort w @roramirezf94 #HeartFailure
What are the key disrupted multicellular processes in heart failure? In our new work we combine 23 years of molecular data with recent single-cell atlases to draw a cross-study patient map. How did we navigate the heart failure space? 🧵⬇️ https://t.co/aRDqdQxC5j
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Organoids have incredible potential in drug discovery and disease modelling. In this Scientific Computing World interview, @Iguaracysousa discusses organoid construction, nanobots, and how bioinformatics is transforming biomedical research. https://t.co/5iyI549Mo5
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We are looking for a PostDoc with strong computational expertise to join our lab with a focus on computational tissue biology: https://t.co/LE55mFesUj
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We use Multiome and HiC to build a comprehensive single cell variant to enhancer to gene map for coronary artery disease. Join effort with @PaulChungrohLee and IttaiEres in Nate Stitziel Lab and in collaboration with @Amgen @WUSTLmed
https://t.co/bM6RPUcUEW
medrxiv.org
Although genome wide association studies (GWAS) in large populations have identified hundreds of variants associated with common diseases such as coronary artery disease (CAD), most disease-associa...
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Excited to share our study on spatio-temporal reconstruction of cardiac scar formation led by @ChanAndyson. We combine scRNA-seq with spatial transcriptomics to resolve the fibrotic niche and the niche of dedifferentiating cardiomyocytes. https://t.co/LHlktVYU4W
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Our work with @schirmerlab in multiple sclerosis (MS) is out today in @NatureNeuro. We investigated lesion progression and cell-cell communication events in MS using snRNA-seq and spatial transcriptomics 🧠 See below ⬇️ https://t.co/j6LIwv4IgU
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📢 Introducing CORNETO: a unified, knowledge-driven framework for multi-sample network learning & modeling via constrained optimization, supporting a wide variety of network methods and prior knowledge 💻Code: https://t.co/OuM9Acrs9U 📜Paper: https://t.co/XFjEbKMAAL 🧵👇
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Are you interested in sc-spatial multiomics data, motivated by improving patient outcomes in lung cancer, and keen to join a young and growing lab taking single-cell atlassing to clinical applications? Please apply :). We're looking for Postdocs! https://t.co/l3iEgt1gIB
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Check out our work on fibroblast activation patterns in HF models! Huge thanks to my co-lead @LauraWienecke 🙏 from @LeuschnerLab!
scRNA-Seq profiling of 🫀interstitial cells reveals fibrosis in HFpEF to be distinct from HFrEF including the induction of basement membrane collagens and a protective ⬆️ of ANGPTL4 in murine and human HFpEF | led by @LauraWienecke and @jan_lanzer
https://t.co/DgALDoP5Zn
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🚨 We are looking for a PhD student 🚨 to join the Tanevski Lab and @DenisSchapiro Lab at the Heidelberg University Hospital, working at the intersection of machine learning and spatial omics as part of the Translational Spatial Profiling Center. Please RT
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Congrats Julio!!
We welcome Julio Saez-Rodriguez @JulioSaezRod as our new Head of Research! Associate Director for EMBL-EBI Services Jo McEntyre @jomcentyre has been promoted to Deputy Director of EMBL-EBI & Rolf Apweiler is stepping back to Associate Director as he looks towards retirement.
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We welcome Julio Saez-Rodriguez @JulioSaezRod as our new Head of Research! Associate Director for EMBL-EBI Services Jo McEntyre @jomcentyre has been promoted to Deputy Director of EMBL-EBI & Rolf Apweiler is stepping back to Associate Director as he looks towards retirement.
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See this great perspective by @roramirezf94 and others on multicellular processes and how to study them using single cell omics!
How to link single-cell diversity and the emergence and maintenance of robust multicellular processes in developed tissues? 🤔 What can we learn about multicellular coordination in tissues from single-cell omics data? Read about our view: https://t.co/z5msHv5EgB
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1) Are you interested in computational approaches to study the immune system 🔎🦠by integrating single-cell + spatial multi-omics data with prior knowledge? Check our review 📖out now in @NatImmunol
https://t.co/ilWxyshOLR 🧵
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Our @jan_lanzer will present his work (together w @roramirezf94) on multicellular programs in heart failure at #EMBOCardioBiology this week. Come find him if you are interested in how we can leverage public single cell atlases to study coordinated events in myocardial remodeling
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Super excited to organize a local site for this @nf_core hackathon with @kubranarci in Heidelberg. Hoping to see many of you code some @nextflowio with us there 🤩✨🧑💻!
🗓️ Mark your calendars ✏️ The @nf_core hackathon is locked in for March 18-20. Local sites are back again. Get in touch if you are thinking about hosting or want to know more 🌎🌍🌏
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Multicellular Factor Analysis is now fully available in @eLife's website, including the editor's evaluation and our updated revision. Estimate multicellular programs and perform unsupervised analysis of samples from cross-condition single cell atlases https://t.co/K4BI3OFZ03
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🧬Explore disease at a multicellular level, capturing variations in patient samples across cell types, tissue features, studies, and technologies with Multicellular Factor Analysis, peer-reviewed by @ReviewCommons and now published @eLife
https://t.co/bRVOBdptFm
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Thx @ERC_Research for funding our #ERCSyG project w @ejvillablanca @ZellerGroup @giacomello_lab 🙏. Looking fwd to synergizing our expertise in immunology, #spatial techs, microbiome🦠 & computational modeling💻 to study gut host-microbiome interactions in health & disease
📣 Results of the 2023 ERC Synergy Grant competition are out! 37 research groups win a total of €395 million in #ERCSyG funding 👉 This will enable them to pool diverse expertise and resources to push the frontiers of knowledge. Full story: https://t.co/qxp34JIn4u 🇪🇺#EUfunded
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Check out our new preprint🥳 We focused on using #gutmicrobiome 🦠data to predict heart 🫀failure risk with @erawijantaript @openreslabs @JulioSaezRod
@saezlab @LevinsonLab...
🧬 Exciting Preprint Alert! 🚀 Heart failure is a pressing public health issue. Can microbiome data help us predict heart failure risk and uncover its biology🦠? Read the preprint for all the details 📚 https://t.co/wOOTQ45zwS 🔬and in a nutshell
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