Evidence map›Paper›PMID 42894700›Full record

ArticleiScience2026

Patch-seq analysis reveals transcriptomic correlates of neuronal firing rate adaptation across subtypes and species.

John Hongyu Meng, Yijie Kang, Alan Lai, Michael Feyerabend, Wataru Inoue, Julio Martinez-Trujillo, Bernardo Rudy, Xiao-Jing Wang

Abstract read
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In one paragraph

Article in iScience, 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
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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

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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.

John Hongyu MengCenter for Neural Science, New York University, New York, NY 10003, USA.
Yijie KangCenter for Neural Science, New York University, New York, NY 10003, USA.
Alan LaiCenter for Neural Science, New York University, New York, NY 10003, USA.
Michael FeyerabendRobarts Research Institute, Western University, London, ON N6A 3K7, Canada.
Wataru InoueDepartment of Physiology and Pharmacology, Western University, London, ON N6A 3K7, Canada.
Julio Martinez-TrujilloDepartment of Physiology and Pharmacology, Western University, London, ON N6A 3K7, Canada.
Bernardo RudyNeuroscience Institute, NYU Grossman School of Medicine, New York, NY 10016, USA.
Xiao-Jing WangCenter for Neural Science, New York University, New York, NY 10003, USA.

Funding

The role of genetic and activity dependent cues in the generation of 5HT3aR interneuron diversityP01NS074972 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MACHOLD, ROBERT P · 2012 to 2023
$15.5M
Recurrent Neual Circuit Basis of Time Integration and Decision MakingR01MH062349 · NIMH · YALE UNIVERSITY · PI WANG, XIAO-JING · 2001 to 2022
$7.2M
Inhibitory and Disinhibitory VIP Interneuron-Mediated Circuits in NeocortexR01NS133751 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Bernardo Rudy · 2023 to 2026
$2.6M
NIMH NIH HHS R01 MH062349NINDS NIH HHS P01 NS074972NINDS NIH HHS R01 NS133751
6 · The paper itself

Abstract

Can the transcriptomic profile of a neuron predict its physiological properties? Using a Patch-seq dataset of the primary visual cortex, we addressed this question by focusing on spike rate adaptation (SRA), a well-known phenomenon that depends on small conductance calcium (Ca)-dependent potassium (SK) channels. We first show that in parvalbumin-expressing (PV) and somatostatin-expressing (SST) interneurons, expression levels of genes encoding the ion channels underlying action potential generation are correlated with the half-width (HW) of spikes. Surprisingly, the SK encoding genes are not correlated with the degree of SRA (dAdap). Instead, genes that encode proteins upstream from the SK current, as well as the low-voltage-activated calcium channel, are correlated with dAdap. This general principle is supported by datasets from the mouse primary motor cortex and multiple macaque brain regions. Finally, we generate testable predictions by constructing a minimal computational model.

Indexed as

calcium channelselectrophysiologyinterneuronsion channelsneuronal excitabilityPatch-seqspike-rate adaptationtranscriptomics

Identifiers

PMID42894700
PMCPMC13676982

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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.