Evidence map›Paper›PMID 29189773›Full record

ArticleNature protocols2017

Multimodal profiling of single-cell morphology, electrophysiology, and gene expression using Patch-seq.

Cathryn R Cadwell, Federico Scala, Shuang Li, Giulia Livrizzi, Shan Shen, Rickard Sandberg, Xiaolong Jiang, Andreas S Tolias

Abstract read
In one paragraph

Article in Nature protocols, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers.

0numbers the graph read from it
0cells of the map it votes in
87citing 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

87 citing papers in PubMed.

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27 more citing papers are in PubMed but not listed here.

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.

Cathryn R CadwellDepartment of Neuroscience, Baylor College of Medicine, Houston, Texas, USA.ORCID http://orcid.org/0000-0003-1963-8285
Federico ScalaDepartment of Neuroscience, Baylor College of Medicine, Houston, Texas, USA.
Shuang LiDepartment of Neuroscience, Baylor College of Medicine, Houston, Texas, USA.
Giulia LivrizziDepartment of Neuroscience, Baylor College of Medicine, Houston, Texas, USA.
Shan ShenDepartment of Neuroscience, Baylor College of Medicine, Houston, Texas, USA.
Rickard SandbergLudwig Institute for Cancer Research, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-6473-1740
Xiaolong JiangDepartment of Neuroscience, Baylor College of Medicine, Houston, Texas, USA.
Andreas S ToliasDepartment of Neuroscience, Baylor College of Medicine, Houston, Texas, USA.

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007330 · NIGMS · BAYLOR COLLEGE OF MEDICINE · PI PLON, SHARON E. · 1985 to 2019
$15.6M
VISION RESEARCH CENTERP30EY002520 · NEI · BAYLOR COLLEGE OF MEDICINE · PI Samuel M Wu · 1985 to 2026
$14.8M
VISUAL SCIENCEST32EY007001 · NEI · BAYLOR COLLEGE OF MEDICINE · PI Samuel M Wu · 1985 to 2026
$3.7M
Dissecting the Fabric of the Cerebral CortexDP1EY023176 · NEI · BAYLOR COLLEGE OF MEDICINE · PI TOLIAS, ANDREAS · 2012 to 2015
$3.1M
A MOLECULAR CODE FOR CONNECTIVITY IN THE NEOCORTEXR01MH103108 · NIMH · BAYLOR COLLEGE OF MEDICINE · PI TOLIAS, ANDREAS, TOLIAS, KIMBERLY R · 2013 to 2016
$1.3M
Dissecting the Fabric of the Cerebral CortexDP1OD008301 · OD · BAYLOR COLLEGE OF MEDICINE · PI TOLIAS, ANDREAS · 2011 to 2011
$783k
Training in Theoretical and Computational NeuroscienceT32EB006350 · NIBIB · BAYLOR COLLEGE OF MEDICINE · PI SAGGAU, PETER · 2007 to 2011
$693k
The Role of Cell Lineage in Determining Tuning Preferences in Visual CortexF30MH095440 · NIMH · BAYLOR COLLEGE OF MEDICINE · PI CADWELL, CATHRYN RENE · 2013 to 2015
$81k
NEI NIH HHS DP1 EY023176NEI NIH HHS P30 EY002520NEI NIH HHS T32 EY007001NIBIB NIH HHS T32 EB006350NIGMS NIH HHS T32 GM007330NIH HHS DP1 OD008301NIMH NIH HHS F30 MH095440NIMH NIH HHS R01 MH103108
6 · The paper itself

Abstract

Neurons exhibit a rich diversity of morphological phenotypes, electrophysiological properties, and gene-expression patterns. Understanding how these different characteristics are interrelated at the single-cell level has been difficult because of the lack of techniques for multimodal profiling of individual cells. We recently developed Patch-seq, a technique that combines whole-cell patch-clamp recording, immunohistochemistry, and single-cell RNA-sequencing (scRNA-seq) to comprehensively profile single neurons from mouse brain slices. Here, we present a detailed step-by-step protocol, including modifications to the patching mechanics and recording procedure, reagents and recipes, procedures for immunohistochemistry, and other tips to assist researchers in obtaining high-quality morphological, electrophysiological, and transcriptomic data from single neurons. Successful implementation of Patch-seq allows researchers to explore the multidimensional phenotypic variability among neurons and to correlate gene expression with phenotype at the level of single cells. The entire procedure can be completed in ∼2 weeks through the combined efforts of a skilled electrophysiologist, molecular biologist, and biostatistician.

Indexed as

AnimalsCells, CulturedElectrophysiological PhenomenaGene Expression ProfilingImmunohistochemistryMiceNeuronsPatch-Clamp TechniquesSequence Analysis, RNASingle-Cell AnalysisTranscriptome

Identifiers

PMID29189773
PMCPMC6422019

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Registered trials

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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.