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Rapid technological advances in single-cell sequencing have enabled multimodal profiling of different aspects of a cell, including its transcriptome, genome, and epigenome and their spatial organization. These single-cell datasets have enhanced our understanding of cell heterogeneity, developmental dynamics, and the gene regulatory networks that drive cell identity. However, the rapid pace of development of single-cell approaches poses challenges for researchers who want to apply these methods. This program provides a cutting-edge review of all major single-cell technologies and their application so that investigators can better understand how to use these techniques in their own research.Course Objective(s)Upon completion of the program, the participant will be able to: 1) describe the strengths and limitations of current single-cell-omic technologies; 2) formulate strategies to apply spatial transcriptomics to kidney research; 3) distinguish the types of information generated by single-cell transcriptomic, epigenomic, metabolomic, and proteomic studies; and 4) apply coding procedures to analyze single-cell RNA sequencing datasets using R studio.Topics1. Advances in Research Conference- Single-Cell Biology (Live-Stream 1) – ASN Kidney Week 2020 Reimagined2. Advances in Research Conference- Single-Cell Biology (Live-Stream 2) – ASN Kidney Week 2020 Reimagined3. Advances in Research Conference- Single-Cell Biology (Live-Stream 3) – ASN Kidney Week 2020 Reimagined4. Advances in Research Conference- Single-Cell Biology (Live-Stream 4) – ASN Kidney Week 2020 Reimagined5. An Atlas for the Immune System in the Kidney6. Combinatorial Indexing for Single-Cell Multi-omics7. Dissecting Kidney Organoids One Cell at a Time- Cell Identity and Fate8. Embryo Scale, Single-Cell Spatial Transcriptomics9. High-Resolution Glomerular Disease Modeling10. Human Kidney Atlas11. Human Kidney Disease Mapping12. Idiopathic Pulmonary Fibrosis at Single-Cell Resolution13. In Silico Deconvolution14. In Situ Cytometry by Time-of-Flight15. Integration of Single Cell and Spatial Transcriptomics16. Integrative Single-Cell-Omics of Cardiac Fibrosis17. Kidney Development at a Single-Cell Resolution18. Lineage and Cell State Reconstruction Using Single Cell Technologies19. Modeling Cystic Kidney Disease Using Kidney Organoids20. Single-Cell Cancer Genomics21. Single-Cell Epigenome Analysis of the Human Pancreas22. Single-Cell Interrogation of APOL1 Risk Variants in Genome-Edited Kidney Organoids23. Single-Cell Metabolomics and the Kidney Precision Medicine Project24. Single-Cell Proteomics25. STARS- Welcome Event26. Transcriptomics Maps for the KidneyRelease Date : OCTOBER 14, 2020
