We are happy to see spatial proteomics being recognized as method of the year 2024 by Nature Methods. Kromnigon might not quite be there yet, but we believe that both our patented product lines StreptaClick and SpectraSplit have the potential to become important enablers to this field in the years to come. Make sure to follow us to learn more in 2025! https://lnkd.in/epNmXHh9
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We’re thrilled to introduce our PanOmics TargetID Framework, a cutting-edge modular system designed by our Bioinformatics and Computational Biology teams. This innovative framework leverages advanced computational tools and expert assessments to identify and rank potential drug targets, providing a comprehensive report on their draggability, biology, safety, competition, and efficacy. Key Highlights: - Comprehensive Target Identification: Discover and validate disease-associated molecular mechanisms. - Expert Assessments: Detailed insights into target draggability, biology, safety, and more. - Modular System: Flexible and adaptable to various research needs. Download our whitepaper to learn more about how we’re revolutionizing drug discovery: https://hubs.ly/Q02T7lQ00 #DrugDiscovery #Bioinformatics #PanOmics #researchneverstops
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Leveraging multi-omics data in drug discovery, or not quite sure where to begin? Our new blog outlines essential strategies for using transcriptomics, proteomics, and other assays together to accelerate target discovery. Read more: https://lnkd.in/g8PYxxwY Chat with our scientists to see Pluto's comprehensive multi-omics platform in action: https://lnkd.in/gHpz9r2X #omics #drugdiscovery
Pluto Bio • Multi-omics platform for translational discovery
pluto.bio
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Exciting times we're living in, as innovation continues to redefine the boundaries in various sectors! Quantum-Si's protein sequencing technology has recently expanded its reach, thanks to a new distribution agreement. This initiative is set to provide broad access to leading cutting-edge proteomics solutions. It's exhilarating to watch the scientific landscape continually evolve. Access to such transformative technology could spark new groundbreaking discoveries and life-changing advancements. In a world increasingly enmeshed in technology and scientific breakthroughs, this is an undeniable proof of what we can achieve when innovation aligns with a strategic approach. Stay tuned for more updates. #proteomics #technologicalinnovation In summary, we're on the brink of a new era of scientific exploration. This significant milestonehttps://lnkd.in/g4ESYPTT
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❓Did you know that a single human cell contains over 42 million protein molecules? These proteins interact in countless ways, driving billions of potential reactions. 👉At Cytocast, our Digital Twin technology models these complex interactions, simulating over 100 million molecular events across 15 tissue types. To predict how a drug might behave, we conduct thousands of detailed simulations, replicating the intricate biological environments to help researchers understand drug efficacy and potential side effects—well before clinical trials begin. 🔗 Discover how we're leveraging computational biology to revolutionize drug development: https://lnkd.in/dSSQjmN6 #cellbiology #proteindynamics #computationalbiology #drugdiscovery #pharmatech
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🚀🌐 Proteomics just took a huge leap forward with Evosep's Whisper Zoom methods, delivering a groundbreaking combination of sensitivity, scalability, and ease-of-use for high-end LC-MS workflows. These methods have customers across the globe raving about how they're transforming their research. 🔬 With optimized flow paths and unmatched sample recovery, Whisper Zoom methods maximize sensitivity while supporting scalable throughput from 20 to 120 samples per day. Whether you're working on single-cell proteomics (SCP), deep visual proteomics (DVP), or phosphoproteomics, these methods are tailored for top-tier performance. 💬 Our users are calling this a game changer: Increased Efficiency: Imagine analyzing hundreds of samples a week with unmatched precision and minimal manual intervention. Reliable Reproducibility: Whisper Zoom ensures system-to-system consistency and robust performance across different laboratories, unlocking new opportunities for multi-site studies. Effortless Integration: The technology is designed to democratize high-end LC-MS, bringing world-class capabilities to researchers of all levels. ✨ We’re thrilled to see how our Whisper Zoom technology is making a tangible impact in advancing high-sensitivity applications. Have you experienced the power of Whisper Zoom yet? Share your story or get in touch to learn more! #Proteomics #Innovation #WhisperZoom #Evosep #HighThroughputScience #ResearchTools
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The All-You-Need FAQ for Iso-Seq Applications. Not sure how to make the most of Iso-Seq for your research? We’ve got you covered: https://lnkd.in/gNfjSPNk - Explore available sequencing options and their applications. - Key comparisons of PacBio Iso-Seq vs Nanopore Direct RNA-seq to help you decide. - Integrating Iso-Seq with omics data - What is Kinnex Full-Length RNA Kit? - Tools for computational analysis
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We’re introducing MolPhenix: a foundation model that predicts a map of the effect of any molecule-concentration pair on phenotypic cell assays and cell morphology. Cell images are powerful tools for unravelling complex biological systems. Unlike traditional assays with single readouts, they capture rich, high-dimensional information about cellular function. With MolPhenix, we use contrastive ML to develop a novel multi-modal approach enabling us to learn a rich representation of how a molecule affects the cell’s morphology. This was powered by the petabytes of phenomics data generated from Recursion's automated labs. We’ll be sharing more about MolPhenix at NeurIPS. In the meantime, explore how MolPhenix is harnessing the power of cell morphology to help push biological research forward through the blog. Blog: https://lnkd.in/eN8jGQPY Paper: https://lnkd.in/epDf7Md3
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Proteomics is an emerging field with capabilities to advance our understanding of biology, disease and identify new drug targets. High throughput methods even have the ability to predict drug response ahead of trials and can be used complimentary to genomics and traditional MS studies. Important factors to consider when looking at the most appropriate technology in this field for your studies are: Is it specific/reproducible? Is it easily scalable for further expansion? Is it translatable to the clinic? Can you easily compare data between studies years apart? What do you think - Is Proteomics the next big Ome?
Is Proteomics the Next Big “Ome”?
genengnews.com
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Source: Trends in plant science Mass spectrometry imaging (MSI) is crucial for studying natural product biosynthesis in plants, offering high sensitivity and molecular coverage. While often used for NP distribution visualization, MSI also reveals insights into spatial metabolic processes. This review emphasizes the need to leverage MSI spatial data for understanding metabolite-gene expression relationships.
Exploring natural product biosynthesis in plants with mass spectrometry imaging
pubmed.ncbi.nlm.nih.gov
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#Review Microfluidic Compartmentalization Platforms for Single Cell Analysis by Xuhao Luo, Jui-Yi Chen, Marzieh Ataei and Abraham Lee https://lnkd.in/eRXUjw4Q #MDPI #Microfluidic #Cell #droplets #biosensors #sensors #openaccess #Abstract Many cellular analytical technologies measure only the average response from a cell population with an assumption that a clonal population is homogenous. The ensemble measurement often masks the difference among individual cells that can lead to misinterpretation. The advent of microfluidic technology has revolutionized single-cell analysis through precise manipulation of liquid and compartmentalizing single cells in small volumes (pico- to nano-liter). Due to its advantages from miniaturization, microfluidic systems offer an array of capabilities to study genomics, transcriptomics, and proteomics of a large number of individual cells. In this regard, microfluidic systems have emerged as a powerful technology to uncover cellular heterogeneity and expand the depth and breadth of single-cell analysis. This review will focus on recent developments of three microfluidic compartmentalization platforms (microvalve, microwell, and microdroplets) that target single-cell analysis spanning from proteomics to genomics. We also compare and contrast these three microfluidic platforms and discuss their respective advantages and disadvantages in single-cell analysis.
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