We are thrilled to host a webinar with one of our partners, AtlasXomics Inc.! As a pioneer in spatial biology technologies, AtlasXomics offers the first and only comprehensive spatial epigenome solution at a cellular resolution. Their platform is now used by over 50 labs to uncover the epigenetic drivers behind key disease areas. Join us on Thursday, August 1st to hear from Colin Ng, VP at AtlasXOmics, as he discusses the development of their breakthrough platform and how they’ve utilized LatchBio to unlock key insights for their customers. We hope to see you there! Register here to tune in: https://lnkd.in/gMPmWATC
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Learn how multiomics approach could revolutionize your research..
#Researchers, the joint analysis of the genome, epigenome, transcriptome, proteome and/or metabolome from the same tissue is transforming our understanding of cell biology. Using human fibrotic tissue samples, how would you propose to generate datasets from spatial multi-omics approaches? How would you integrate them and uncover their mechanistic links, with the aim of advancing our understanding of fibrosis? Learn more and submit your ideas on #opnMe for a chance to get funding: https://lnkd.in/efMdnaYe
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#Researchers, the joint analysis of the genome, epigenome, transcriptome, proteome and/or metabolome from the same tissue is transforming our understanding of cell biology. Using human fibrotic tissue samples, how would you propose to generate datasets from spatial multi-omics approaches? How would you integrate them and uncover their mechanistic links, with the aim of advancing our understanding of fibrosis? Learn more and submit your ideas on #opnMe for a chance to get funding: https://lnkd.in/efMdnaYe
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In case you missed it, our webinar with Dr. Cecilia Lindskog from Uppsala University is available on-demand! Watch the recording at your leisure to learn about: 1. The progress made towards a complete spatial map of the human proteome 2. How quantitative data can be linked with tissue morphology to create a spatio-temporal single-cell type map 3. Examples of novel cell state-specific expression patterns validated with spatial biology techniques 4. How spatial biology has provided valuable insights into molecular function and mechanisms of disease pathways #spatialbiology #singlecell #spatialphenotyping
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Spatial biology is a rapidly growing field, but analysis is still problematic due to the complexity and time-consuming nature of analyzing multiplex images. Turning multiplex images into biological results shouldn’t be a difficult task. That’s why we’ve developed a 7- step workflow to meet all your needs: Phenoplex. 💻 Watch the 18-min webinar with James R. Mansfield and learn about each step of the workflow, designed to efficiently evaluate spatial biology assays with 8-40 or more biomarkers. Link to webinar: https://hubs.ly/Q02fNMX30 #Phenoplex #MultiplexImageAnalysis #SpatialBiology
Webinar: Introducing Phenoplex
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Multiomic Mosaics Cell by Cell, Pixel by Pixel Single-cell analysis and spatial omics technologies are being combined in various ways to distinguish biomolecular processes and determine where they take place. GEN spoke with experts from LevitasBio, Single Cell Discoveries, Singular Genomics, and Canopy Biosciences. Read the rest of the June issue of GEN online >> https://ow.ly/SXvA50SbJmf
Multiomic Mosaics Cell by Cell, Pixel by Pixel
genengnews.com
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Learn how Bionano's genome analysis solutions can uncover answers to complex questions in biology and medicine at NextGen Omics US 2024! ✨ 📖 Explore the agenda: https://hubs.la/Q02nm4PQ0 #OGOmics #NextGenOmicsUS24
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📍 Spatial proteomics and transcriptomics of placenta accreta spectrum Bartels et al. investigated alterations at the fetal-maternal interface in placenta accreta spectrum cases using a systems biology approach consisting of immunohistochemistry, spatial transcriptomics and proteomics. Key findings 📍The distribution of CD4+, CD3+ and CD8+ T cells at the maternal interface in placenta increta 📍Transcription factors involved in promotion of trophoblast invasion and upregulated in regions with deep myometrial invasion 📍Excessive trophoblastic proliferation in an immunosuppressive environment of increta regions 📍Interactions with ITGB1, including with fibronectin and ADAMS, as central in increta. ➡ More details: https://lnkd.in/eFVQtxGB #universitycollegedublin #spatialomics #spatialbiology #singlecellanalysis #singlecell
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Syncell will be presenting at the Biology of Cilia and Flagella Conference hosted by FASEB on May 13th, discussing "Subcellular Spatial Proteomics By Microscopy-Guided Photo-Biotinylation Reveals Novel Protein Constituents In Primary Cilia." Launched in 2007, this conference is the leading international meeting covering all aspects of cilia and cilia-related diseases, providing the premier forum to share the newest research. The study of primary cilia, despite their significance, is filled with challenges.The challenges posed by primary cilia's small size and delicate structure, compounded by their dynamic assembly, require advanced, high-resolution techniques for thorough analysis. Our Microscoop platform addresses these challenges, offering enhanced spatial photolabeling capabilities at the microscale to enable comprehensive investigation of primary cilia and their biological functions. By leveraging this technology, we aim to share invaluable insights into ciliary functions at the upcoming cilia meeting, illuminating cellular mechanisms and pathogenesis. #FASEB #FASEB2024 #CiliaResearch #BCFSRC #NovelProtein #PrimaryCilia #SpatialProteomics
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Today, we're joined by Eric Nguyen, PhD student at Stanford University, to discuss his research on long context foundation models in biology, particularly: 🧬 Hyena: a convolutional-based model for long context lengths 🧬 Hyena DNA: genomic model capturing long-range dependencies in DNA sequences 🧬 Evo: a 7 billion parameter hybrid model integrating attention layers with Hyena DNA We dig into several topics across his research including convolutional models vs transformer models in long sequences, their model training and architectures, FFT optimizations, generating & designing DNA, hallucinations in DNA models, evaluation benchmarks, zero-shot vs. few-shot performance, potential in creating novel gene editing tools like CRISPR-Cas, and more! 🎧 / 🎥 Listen or watch the full episode at: https://twimlai.com/go/690.
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Things getting tricky with RNA-seq? Treat your lab to QIAseq FastSelect and banish those unwanted rRNAs. Maximize on-target reads, uncover more biology. Learn more.
Turn the RNA-seq horror story into a success story…
qiagen.com
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