How is Nobel Prize Winning “Chemistry Lego” used in single cell sequencing? 07.10.20222’ Review Click Chemistry: How is Nobel Prize Winning “Chemistry Lego” used in single cell sequencing?The Nobel Prize in Chemistry 2022 has gone to Carolyn Bertozzi, Morten Meldal, and Barry Sharpless for their work on Click Chemistry. If you have ever played with LEGO blocks, you might be amazed by how genius this toy concept is. These simple, modular, well designed and precisely manufactured building blocks are able to create an endless variety of structures. Click Chemistry brings the same simple yet genius concept to chemistry by designing wide-scoped reactions that can effectively link molecules together, even with living cells, to modify or even add more functions to biological molecules and cells. This has already been used in developing cancer treatments and directly targeting tumor cells.Click Chemistry has also been used in single cell analysis to tag cells from the same sample with a unique sample identifier, that will in turn enable pooling and analysis of multiple samples in the same reaction.For example, Singleron’s CLindex® multiplexing technology employs click-chemistry for efficient, unbiased sample tagging. A chemical group with a high affinity to cell surface proteins, and a sample indexing oligo able to bind to that chemical group, allows the cells of the sample to be labeled.A major advantage of click chemistry-based labeling compared to antibody-based labeling are the abundance of the cell surface proteins recognized by click chemistry, which is found across different species. Furthermore, the entire process of sample tagging takes only 30 min while optimized reaction conditions preserve cell viability during the process (Figure).You can find more information on our homepage: https://singleron.bio, or contact us at info@singleronbio.com.A post by Singleron teamCheck out our latest blog posts Learn more 26.03.27 AI Virtual Cell Data Generation: What Data Do These Models Actually Need? Every AI model is only as good as the data behind it. Large language models need text. Image generators need training photos. And AI virtual… Read more 26.03.15 AI Virtual Cell Model (AIVC) What if we could observe how a human cell responds to a drug, a genetic change, or an environmental shift—without performing a single wet‑lab experiment?… Read more 26.03.11 Tissue Preservation is the Unsung Hero of a Successful Single Cell Experiment Why Tissue Preservation is the First Important Step of your Experiment In single cell sequencing analysis, we often focus on the final data output. On… Read more
26.03.27 AI Virtual Cell Data Generation: What Data Do These Models Actually Need? Every AI model is only as good as the data behind it. Large language models need text. Image generators need training photos. And AI virtual… Read more
26.03.15 AI Virtual Cell Model (AIVC) What if we could observe how a human cell responds to a drug, a genetic change, or an environmental shift—without performing a single wet‑lab experiment?… Read more
26.03.11 Tissue Preservation is the Unsung Hero of a Successful Single Cell Experiment Why Tissue Preservation is the First Important Step of your Experiment In single cell sequencing analysis, we often focus on the final data output. On… Read more