Evidence map›Paper›PMID 30229860›Full record

ArticleBiotechnology and bioengineering2019

High-throughput identification of factors promoting neuronal differentiation of human neural progenitor cells in microscale 3D cell culture.

Gregory J Nierode, Sneha Gopal, Paul Kwon, Douglas S Clark, David V Schaffer, Jonathan S Dordick

Abstract read
In one paragraph

Article in Biotechnology and bioengineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

15 citing papers in PubMed, 30 citations in OpenAlex.

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  6. Advances in currentFrontiers in bioengineering and biotechnology · 2023
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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

6 authors at 2 institutions in 1 country.

Gregory J NierodeDepartment of Chemical and Biological Engineering and Center for Biotechnology & Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, New York.ORCID 0000-0002-8334-2908
Sneha GopalDepartment of Chemical and Biological Engineering and Center for Biotechnology & Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, New York.
Paul KwonDepartment of Chemical and Biological Engineering and Center for Biotechnology & Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, New York.
Douglas S ClarkDepartment of Chemical and Biomolecular Engineering, University of California, Berkeley, California.
David V SchafferDepartment of Chemical and Biomolecular Engineering, University of California, Berkeley, California.ORCID 0000-0002-9625-0121
Jonathan S DordickDepartment of Chemical and Biological Engineering and Center for Biotechnology & Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, New York.ORCID 0000-0001-7802-3702
Rensselaer Polytechnic Institute · USUniversity of California, Berkeley · US

Funding

High-Throughput Platform for Identifying Stem Cell ToxicityR01ES020903 · NIEHS · RENSSELAER POLYTECHNIC INSTITUTE · PI DORDICK, JONATHAN S., SCHAFFER, DAVID V · 2012 to 2015
$2.0M
NIEHS NIH HHS R01 ES020903
6 · The paper itself

Abstract

Identification of conditions for guided and specific differentiation of human stem cell and progenitor cells is important for continued development and engineering of in vitro cell culture systems for use in regenerative medicine, drug discovery, and human toxicology. Three-dimensional (3D) and organotypic cell culture models have been used increasingly for in vitro cell culture because they may better model endogenous tissue environments. However, detailed studies of stem cell differentiation within 3D cultures remain limited, particularly with respect to high-throughput screening. Herein, we demonstrate the use of a microarray chip-based platform to screen, in high-throughput, individual and paired effects of 12 soluble factors on the neuronal differentiation of a human neural progenitor cell line (ReNcell VM) encapsulated in microscale 3D Matrigel cultures. Dose-response analysis of selected combinations from the initial combinatorial screen revealed that the combined treatment of all-trans retinoic acid (RA) with the glycogen synthase kinase 3 inhibitor CHIR-99021 (CHIR) enhances neurogenesis while simultaneously decreases astrocyte differentiation, whereas the combined treatment of brain-derived neurotrophic factor and the small azide neuropathiazol enhances the differentiation into neurons and astrocytes. Subtype specification analysis of RA- and CHIR-differentiated cultures revealed that enhanced neurogenesis was not biased toward a specific neuronal subtype. Together, these results demonstrate a high-throughput screening platform for rapid evaluation of differentiation conditions in a 3D environment, which will aid the development and application of 3D stem cell culture models.

Indexed as

Cell DifferentiationHigh-Throughput Screening AssaysHumansMicroarray AnalysisNerve Growth FactorsNeurogenesisNeuronsOrgan Culture TechniquesStem CellsNerve Growth Factorsdifferentiationhigh-throughput screeninghuman neural progenitor cells (hNPCs)neurogenesisthree-dimensional (3D) cell culture

Identifiers

PMID30229860
PMCPMC6289706
OpenAlexW2891898131

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.