Evidence map›Paper›PMID 40514421›Full record

ReviewNature protocols2026

High-throughput multiplex voltage-clamp/current-clamp evaluation of acutely isolated neurons.

Mohammad-Reza Ghovanloo, Sidharth Tyagi, Peng Zhao, Emre Kiziltug, Mark Estacion, Philip R Effraim, Sulayman D Dib-Hajj, Stephen G Waxman

Abstract readReview
In one paragraph

Review in Nature protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Mohammad-Reza Ghovanloo *Department of Neurology, Yale University School of Medicine, New Haven, CT, USA. reza.ghovanloo@yale.edu.ORCID 0000-0002-2171-0744
Sidharth Tyagi *Department of Neurology, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0001-6097-0541
Peng ZhaoDepartment of Neurology, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0002-5527-3044
Emre KiziltugDepartment of Neurology, Yale University School of Medicine, New Haven, CT, USA.
Mark EstacionDepartment of Neurology, Yale University School of Medicine, New Haven, CT, USA.
Philip R EffraimCenter for Neuroscience and Regeneration Research, Yale University, West Haven, CT, USA.
Sulayman D Dib-HajjDepartment of Neurology, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0002-4137-1655
Stephen G WaxmanDepartment of Neurology, Yale University School of Medicine, New Haven, CT, USA. stephen.waxman@yale.edu.ORCID 0000-0001-5718-7177

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007205 · NIGMS · YALE UNIVERSITY · PI KAZMIERCZAK, BARBARA I · 1985 to 2019
$42.9M
Targeted degradation of NaV1.8 as a therapeutic strategy for painF31NS135909 · NINDS · YALE UNIVERSITY · PI TYAGI, SIDHARTH · 2024 to 2024
$32k
Gouvernement du Canada | Canadian Institutes of Health Research (Instituts de Recherche en Santé du Canada) 471896NIGMS NIH HHS T32 GM007205NINDS NIH HHS F31 NS135909RRD VA I01 RX003621RRD VA I50 RX002999U.S. Department of Health & Human Services | National Institutes of Health (NIH) 1F31NS135909-01U.S. Department of Health & Human Services | National Institutes of Health (NIH) T32GM007205U.S. Department of Veterans Affairs (Department of Veterans Affairs) B9253-CU.S. Department of Veterans Affairs (Department of Veterans Affairs) BX004899
6 · The paper itself

Abstract

The patch-clamp technique remains the gold-standard for the investigation of excitable cells. However, the manual implementation of this technique is slow and low throughput. While recently developed high-throughput robotic patch-clamp methods have proven valuable for drug screening, they have predominantly focused on investigating receptors and channels overexpressed in heterologous cell lines. We recently developed an automated high-throughput patch-clamp approach that enables the simultaneous and unbiased analysis of acutely dissociated neurons in their native state. To analyze and manage the large and complex datasets resulting from this methodology, we have also developed open-source software with an easy-to-use graphical user interface to fit data from each neuron with appropriate biophysical equations to functionally characterize each individual neuron. Here we describe a protocol that provides a streamlined set of procedures, including (1) the dissociation and isolation of neurons from intact tissue; (2) the designing and performing of patch-clamp experiments on the robotic system; and (3) the analysis of data using predetermined, unbiased filtration criteria. This methodology can be used for diverse applications ranging from the assessment of neuronal biophysics to drug development. The protocol requires 6-18 h including cell preparation, experimental execution and analysis of the generated data. Graduate-student-level expertise in animal dissection, electrophysiology and biophysics is required.

Indexed as

High-Throughput Screening AssaysNeuronsPatch-Clamp TechniquesAnimalsMiceRatsSoftware

Identifiers

PMID40514421
PMCPMC13037423

What OpenQuestion holds

Textmetadata
LicenceTDM
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.