Webinar: Spatial Mapping of Tumor Microenvironments with The Single-Cell Ninjas скачать в хорошем качестве

Webinar: Spatial Mapping of Tumor Microenvironments with The Single-Cell Ninjas

Join a conversation with researchers from the Benjamin Izar Lab at Columbia University on May 2nd. Dr. Melms and Dr. Wang, both postdoctoral fellows at Columbia University, will be presenting on the topic of "Spatial Mapping of Tumor Microenvironments leveraging Slide-seq V2," which is the foundational technology of Curio Seeker. Solid tumors are heterogeneous, complex tissue containing many different cell types and cell states. Single-cell and spatial sequencing enables the dissection of tumor heterogeneity and the molecular and cellular correlates of drug response and resistance at an unprecedented resolution. However, clinical implementation of these methods across institutions has been hampered by several practical and analytical barriers, most notably, the need for fresh tissue specimens for many approaches. To overcome these barriers, we have developed and implemented a scalable, tissue-sparing approach for multi-modal single-cell profiling from clinical grade, archival frozen specimens. This approach collects single-nuclei RNA, single-nuclei TCR, whole genome DNA, and spatial transcriptional profiling from the same clinical sample and allows for an integrated multi-modal analysis of the tumor tissue environment. Our method achieves similar sequencing quality and converging biological information compared to data from matched fresh tissue samples, while reducing artifactual signals related to cell stress introduced by sample processing. We used this approach to address two fundamental challenges in cancer care: therapy resistance and metastasis. In the first set of samples, we analyzed melanoma samples collected longitudinally during the first clinical trial of pembrolizumab (KEYNOTE-001). In these samples we performed multimodal profiling including spatial transcriptomic profiling with SlideSeqV2, and resolved the complex cellular, genomic, spatial and clonotype dynamics within the tumor ecosystem in response to anti-PD-1 therapy. In the second set of samples, we created a single-nuclei and spatial-RNA atlas of treatment-naïve melanoma brain metastases and identified niche-specific cancer cell programs, gene signatures and spatial phenotypes. In summary, our work presents an experimental and analytical framework for multi-modal single-cell profiling, including spatial RNA-sequencing, that is applicable to frozen, archival tissue samples. Learn more at www.curiobioscience.com Email us at [email protected]