Evidence map›Paper›PMID 38148714›Full record

ArticleCurrent protocols2023

Reproducible Differentiation of Human Pluripotent Stem Cells into Two-Dimensional Cortical Neuron Cultures with Checkpoints for Success.

Elisa A Waxman, Lea V Dungan, Leah M DeFlitch, Julie P Merchant, Alyssa L Gagne, Ethan M Goldberg, Deborah L French

Open access · greenAbstract read
In one paragraph

Article in Current protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 20% of its field
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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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  4. Cas9 editing ofMolecular therapy. Nucleic acids · 2024
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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

7 authors at 2 institutions in 1 country.

Elisa A WaxmanCenter for Cellular and Molecular Therapeutics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0003-4562-7969
Lea V DunganCenter for Cellular and Molecular Therapeutics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Leah M DeFlitchDivision of Neurology, Department of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Julie P MerchantDepartment of Neuroscience, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Alyssa L GagneCenter for Cellular and Molecular Therapeutics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Ethan M GoldbergDivision of Neurology, Department of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Deborah L FrenchCenter for Cellular and Molecular Therapeutics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Children's Hospital of Philadelphia · USUniversity of Pennsylvania · US

Funding

The Intellectual and Developmental Disabilities Research Center (IDDRC) at CHOP/PennP50HD105354 · NICHD · CHILDREN'S HOSP OF PHILADELPHIA · PI Michael Byrne Robinson · 2021 to 2026
$9.2M
Pathomechanisms of SCN3A-related neurodevelopmental disorderR01NS119977 · NINDS · CHILDREN'S HOSP OF PHILADELPHIA · PI GOLDBERG, ETHAN M · 2021 to 2025
$2.7M
Models and mechanisms of SCN3A neurodevelopmental disorderF31NS129377 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI MERCHANT, JULIE PRIYA · 2022 to 2024
$131k
NICHD NIH HHS P50 HD105354NINDS NIH HHS F31 NS129377NINDS NIH HHS R01 NS119977
6 · The paper itself

Abstract

The patterning of excitatory cortical neurons from human pluripotent stem cells (hPSCs) is a desired technique for the study of neurodevelopmental disorders, as neurons can be created and compared from control hPSC lines, hPSC lines generated from patients, and CRISPR-modified hPSC lines. Therefore, this technique allows for the examination of disease phenotypes and assists in the development of potential new therapeutics for neurodevelopmental disorders. Many protocols, however, are optimized for use with specific hPSC lines or within a single laboratory, and they often provide insufficient guidance on how to identify positive stages in the differentiation or how to troubleshoot. Here, we present an efficient and reproducible directed differentiation protocol to generate two-dimensional cultures of hPSC-derived excitatory cortical neurons without intermediary embryoid body formation. This novel protocol is supported by our data generated with five independent hPSC lines and in two independent laboratories. Importantly, as neuronal differentiations follow a long time course to reach maturity, we provide extensive guidance regarding morphological and flow cytometry checkpoints allowing for early indications of successful differentiation. We also include extensive troubleshooting tips and support protocols to assist the operator. The goal of this protocol is to assist others in the successful differentiation of excitatory cortical neurons from hPSCs. © 2023 Wiley Periodicals LLC. Basic Protocol: Directed differentiation of hPSCs into excitatory cortical neurons Support Protocol 1: Harvesting and fixing cells for flow cytometry analyses Support Protocol 2: Performing flow cytometry analyses Support Protocol 3: Thawing NPCs from a cryopreserved stock Alternate Protocol 1: Continuing Expansion of NPCs Alternate Protocol 2: Treatment of neurons with Ara-C to ablate radial glia Support Protocol 4: Experimental methods for validation of excitatory cortical neurons.

Indexed as

Cell Culture TechniquesPluripotent Stem CellsCell DifferentiationEmbryoid BodiesHumansNeuronscorticaldifferentiationneuralneuronsstem cells

Identifiers

PMID38148714
PMCPMC10753927
OpenAlexW4390276901

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.