Evidence map›Paper›PMID 39556439›Full record

ArticleeLife2024

Patch-walking, a coordinated multi-pipette patch clamp for efficiently finding synaptic connections.

Mighten C Yip, Mercedes M Gonzalez, Colby F Lewallen, Corey R Landry, Ilya Kolb, Bo Yang, William M Stoy, Ming-Fai Fong, Matthew J M Rowan, Edward S Boyden and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Mighten C YipGeorge W Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, United States.ORCID https://orcid.org/0000-0002-8463-0311
Mercedes M GonzalezGeorge W Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, United States.
Colby F LewallenOcular and Stem Cell Translational Research Section, Ophthalmic Genetics and Visual Function Branch, National Eye Institute, National Institute of Health, Bethesda, United States.
Corey R LandryWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, United States.
Ilya KolbGENIE Project Team, Janelia Research Campus Howard Hughes Medical Institute, Ashburn, United States.
Bo YangGeorge W Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, United States.
William M StoyDepartment of Electrical Engineering, Columbia University, New York, United States.
Ming-Fai FongWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, United States.ORCID https://orcid.org/0000-0002-2336-4531
Matthew J M RowanDepartment of Cell Biology, Emory University, Atlanta, United States.
Edward S BoydenDepartment of Brain and Cognitive Science, Massachusetts Institute of Technology, Cambridge, United States.ORCID https://orcid.org/0000-0002-0419-3351
Craig R ForestGeorge W Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, United States.ORCID https://orcid.org/0000-0001-5343-1769

Funding

Novel Platforms for Systematic Optical Control of Complex Neural Circuits In VivoR01DA029639 · NIDA · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BOYDEN, EDWARD S. · 2010 to 2023
$6.7M
High-throughput robotic analysis of integrated neuronal phenotypesR01EY023173 · NEI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BOYDEN, EDWARD S., FOREST, CRAIG · 2012 to 2016
$4.3M
Scalable Cell- and Circuit-Targeted ElectrophysiologyR01NS102727 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BOYDEN, EDWARD S., FOREST, CRAIG · 2017 to 2020
$2.2M
In-vivo circuit activity measurement at single cell, sub-threshold resolutionU01MH106027 · NIMH · GEORGIA INSTITUTE OF TECHNOLOGY · PI FOREST, CRAIG, STANLEY, GARRETT B. · 2014 to 2016
$1.5M
National Institutes of Health Single Cell 1 R01 EY023173National Science Foundation CISE 1110947National Science Foundation EHR 0965945NEI and NIMH 1-U01-MH106027-01NEI NIH HHS R01 EY023173NIDA NIH HHS R01 DA029639NIH HHS R01DA029639NIH HHS R01NS102727NIMH NIH HHS U01 MH106027NINDS NIH HHS R01 NS102727
6 · The paper itself

Abstract

Significant technical challenges exist when measuring synaptic connections between neurons in living brain tissue. The patch clamping technique, when used to probe for synaptic connections, is manually laborious and time-consuming. To improve its efficiency, we pursued another approach: instead of retracting all patch clamping electrodes after each recording attempt, we cleaned just one of them and reused it to obtain another recording while maintaining the others. With one new patch clamp recording attempt, many new connections can be probed. By placing one pipette in front of the others in this way, one can 'walk' across the mouse brain slice, termed 'patch-walking.' We performed 136 patch clamp attempts for two pipettes, achieving 71 successful whole cell recordings (52.2%). Of these, we probed 29 pairs (i.e. 58 bidirectional probed connections) averaging 91 μm intersomatic distance, finding three connections. Patch-walking yields 80-92% more probed connections, for experiments with 10-100 cells than the traditional synaptic connection searching method.

Indexed as

NeuronsPatch-Clamp TechniquesSynapsesAnimalsBrainMaleMicecortexelectrophysiologymouseneurosciencesynapse

Identifiers

PMID39556439
PMCPMC11573346

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.