Open-Source Spatial Transcriptomics developed in the @N_Rajewsky lab, @MDC_Berlin

Berlin
Joined October 2023
🧬 Want to implement Open-ST in your lab? We've published a detailed guide that takes you from tissue sections to 3D molecular maps star-protocols.cell.com/prot…
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💡 The protocol includes: • Detailed experimental procedures • Complete computational pipeline • Quality control guidelines • Example datasets to test your setup • Interactive 3D visualization 🔗 All resources available at: rajewsky-lab.github.io/opens…
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🤝 Join the Open-ST community! • Use our example data to test the pipeline • Check our troubleshooting guide • Share your experience • Get support from other users Open science in action! 🌟
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i am so excited about our open source inexpensive, sub-cellular capture, do-it-yourself Open-ST that transforms tissues into virtual tissue blocks in 3D - IDing pathways & gene programs driving phenotypes. a huge congratz to the team! cell.com/cell/abstract/S0092…
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And it's out 🎉 Check out our updated paper & tweetorial on Open-ST, our DIY spatial transcriptomics method. Many, many thanks to everyone involved in this huge & exciting project! #OpenST #SpatialTranscriptomics
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Terrific work, huge congrats Marie, Daniel, Elena, Pino, Nikos, Nikolaus and everyone involved!! Likely a game changer for many labs doing spatial omics 🚀🚀🚀
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A spatial transcriptomics method that… 🧪is easy to use 🔬has high resolution 🪙is cost-efficient 🌍scales to 3D Just in time for Xmas: Open-ST, a end-to-end, open-source method that checks all boxes, from the @N_Rajewsky lab 📄Preprint: tiny.cc/openst 🧵⬇️
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