Patch-seq: Past, Present, and Future Article Swipe
Marcela Lipovsek
,
Cédric Bardy
,
Cathryn R. Cadwell
,
Kristen Hadley
,
Dmitry Kobak
,
Shreejoy J. Tripathy
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1523/jneurosci.1653-20.2020
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1523/jneurosci.1653-20.2020
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.
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Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1523/jneurosci.1653-20.2020
- https://www.jneurosci.org/content/jneuro/41/5/937.full.pdf
- OA Status
- bronze
- Cited By
- 101
- References
- 111
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3120010443
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3120010443Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1523/jneurosci.1653-20.2020Digital Object Identifier
- Title
-
Patch-seq: Past, Present, and FutureWork title
- Type
-
reviewOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-01-11Full publication date if available
- Authors
-
Marcela Lipovsek, Cédric Bardy, Cathryn R. Cadwell, Kristen Hadley, Dmitry Kobak, Shreejoy J. TripathyList of authors in order
- Landing page
-
https://doi.org/10.1523/jneurosci.1653-20.2020Publisher landing page
- PDF URL
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https://www.jneurosci.org/content/jneuro/41/5/937.full.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
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https://www.jneurosci.org/content/jneuro/41/5/937.full.pdfDirect OA link when available
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Neuroscience, Computer science, Computational biology, Biology, Transcriptome, Intersection (aeronautics), Gene, Gene expression, Engineering, Biochemistry, Aerospace engineeringTop concepts (fields/topics) attached by OpenAlex
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101Total citation count in OpenAlex
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2025: 17, 2024: 24, 2023: 30, 2022: 22, 2021: 6Per-year citation counts (last 5 years)
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111Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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