Patch-seq: Past, Present, and Future
- J Neurosci. 2021 Feb 3;41(5):937-946. doi: 10.1523/JNEUROSCI.1653-20.2020.
- 1. Centre for Developmental Neurobiology, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE1 1UL, United Kingdom [email protected] [email protected].
- 2. Laboratory for Human Neurophysiology and Genetics, South Australian Health and Medical Research Institute (SAHMRI), Adelaide 5000, SA, Australia.
- 3. College of Medicine and Public Health, Flinders University, Bedford Park 5042, SA, Australia.
- 4. Department of Pathology, University of California San Francisco, San Francisco, California 94143.
- 5. Allen Institute for Brain Science, Seattle, Washington 98109.
- 6. Institute for Ophthalmic Research, University of Tübingen, 72076 Tübingen, Germany.
- 7. Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, Ontario M5T 1R8, Canada [email protected] [email protected].
- 8. Department of Psychiatry, University of Toronto, Toronto, Ontario M5T 1R8, Canada.
- 9. Institute of Medical Science, University of Toronto, Toronto, Ontario M5S 1A8, Canada.
Single-cell transcriptomic approaches are revolutionizing neuroscience. Integrating this wealth of data with morphology and physiology, for the comprehensive study of neuronal biology, requires multiplexing gene expression data with complementary techniques. To meet this need, multiple groups in parallel have developed "Patch-seq," a modification of whole-cell patch-clamp protocols that enables mRNA Sequencing of cell contents after electrophysiological recordings from individual neurons and morphologic reconstruction of the same cells. In this review, we first outline the critical technical developments that enabled robust Patch-seq experimental efforts and analytical solutions to interpret the rich multimodal data generated. We then review recent applications of Patch-seq that address novel and long-standing questions in neuroscience. These include the following: (1) targeted study of specific neuronal populations based on their anatomic location, functional properties, lineage, or a combination of these factors; (2) the compilation and integration of multimodal cell type atlases; and (3) the investigation of the molecular basis of morphologic and functional diversity. Finally, we highlight potential opportunities for further technical development and lines of research that may benefit from implementing the Patch-seq technique. As a multimodal approach at the intersection of molecular neurobiology and physiology, Patch-seq is uniquely positioned to directly link gene expression to brain function.