Evidence map›Paper›PMID 20360764›Full record

ArticleNature protocols2010

Derivation of neural crest cells from human pluripotent stem cells.

Gabsang Lee, Stuart M Chambers, Mark J Tomishima, Lorenz Studer

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Nature protocols, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 181 papers.

0numbers the graph read from it
0cells of the map it votes in
181citing papers in PubMed
12.3field-weighted citation impact, top 1% 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

181 citing papers in PubMed, 337 citations in OpenAlex.

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  14. A computational dynamic systems model forCurrent research in toxicology · 2025
    Article
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  16. Modeling of skeletal development and diseases using human pluripotent stem cells.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2024
    Review
  17. Article
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  19. Genetic association ofTranslational pediatrics · 2024
    Article
  20. Article

121 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

4 authors at 1 institution in 1 country.

Gabsang LeeDevelopmental Biology Program, Sloan-Kettering Institute, New York, NY, USA.
Stuart M Chambers
Mark J Tomishima
Lorenz Studer
Kettering University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human pluripotent stem cell (hPSC)-derived neural crest (NC) cells present a valuable tool for modeling aspects of human NC development, including cell fate specification, multipotency and cell migration. hPSC-derived NC cells are also suitable for modeling human disease and as a renewable cell source for applications in regenerative medicine. Here we provide protocols for the step-wise differentiation of human embryonic stem cells (hESCs) or human induced pluripotent stem cells (hiPSCs) into neuroectodermal and NC cells using either the MS5 coculture system or a novel defined culture method based on pharmacological inhibition of bone morphogenetic protein and transforming growth factor-beta signaling pathways. Furthermore, we present protocols for the purification and propagation of hPSC-NC cells using flow cytometry and defined in vitro culture conditions. Our protocol has been validated in multiple independent hESC and hiPSC lines. The average time required for generating purified hPSC-NC precursors using this protocol is 2-5 weeks.

Indexed as

Cell Culture TechniquesCell DifferentiationCell ProliferationCell SeparationChromosomes, Artificial, BacterialCoculture TechniquesEmbryonic Stem CellsFlow CytometryHumansModels, NeurologicalNeural CrestPluripotent Stem CellsSchwann Cells

Identifiers

PMID20360764
OpenAlexW2008807535

What OpenQuestion holds

Textmetadata
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.