Patch-seq: Past, Present, and Future

Autor: Dmitry Kobak, Cathryn R. Cadwell, Shreejoy J. Tripathy, Cedric Bardy, Kristen Hadley, Marcela Lipovsek
Rok vydání: 2021
Předmět:
0301 basic medicine
Patch-Clamp Techniques
Computer science
Cells
1.1 Normal biological development and functioning
Multimodal data
multi-modal
Computational biology
Molecular neuroscience
Medical and Health Sciences
transcriptomics
03 medical and health sciences
Functional diversity
0302 clinical medicine
Underpinning research
Genetics
Animals
Humans
Anatomic Location
Cells
Cultured

Brain function
Neurons
Cultured
Neurology & Neurosurgery
Sequence Analysis
RNA

neuronal morphology
General Neuroscience
Psychology and Cognitive Sciences
Neurosciences
patch-clamp
electrophysiology
single cell
Electrophysiological Phenomena
030104 developmental biology
MRNA Sequencing
Neurological
RNA
Single-Cell Analysis
Erratum
Transcriptome
Sequence Analysis
030217 neurology & neurosurgery
Biotechnology
Forecasting
Zdroj: J Neurosci
The Journal of neuroscience : the official journal of the Society for Neuroscience, vol 41, iss 5
ISSN: 1529-2401
0270-6474
Popis: 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.
Databáze: OpenAIRE