Evidence map›Paper›PMID 35216320›Full record

ArticleInternational journal of molecular sciences2022

Modified Industrial Three-Dimensional Polylactic Acid Scaffold Cell Chip Promotes the Proliferation and Differentiation of Human Neural Stem Cells.

Gyeong-Ji Kim, Kwon-Jai Lee, Jeong-Woo Choi, Jeung Hee An

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

4 authors.

Gyeong-Ji KimDepartment of Biomedical Engineering, Sogang University, Seoul 04107, Korea.
Kwon-Jai LeeCollege of H-LAC, Daejeon University, Daejeon 34520, Korea.
Jeong-Woo ChoiDepartment of Biomedical Engineering, Sogang University, Seoul 04107, Korea.
Jeung Hee AnDepartment of Food and Nutrition, KC University, Seoul 07661, Korea.ORCID 0000-0002-2431-144X

Funding

the Basic Science Research Program through the National Research Foundation of Korea NRF-2016R1D1A1B04935060the Basic Science Research Program through the National Research Foundation of Korea NRF-2018R1D1A1B07048282
6 · The paper itself

Abstract

In this study, we fabricated a three-dimensional (3D) scaffold using industrial polylactic acid (PLA), which promoted the proliferation and differentiation of human neural stem cells. An industrial PLA 3D scaffold (IPTS) cell chip with a square-shaped pattern was fabricated via computer-aided design and printed using a fused deposition modeling technique. To improve cell adhesion and cell differentiation, we coated the IPTS cell chip with gold nanoparticles (Au-NPs), nerve growth factor (NGF) protein, an NGF peptide fragment, and sonic hedgehog (SHH) protein. The proliferation of F3.Olig2 neural stem cells was increased in the IPTS cell chips coated with Au-NPs and NGF peptide fragments when compared with that of the cells cultured on non-coated IPTS cell chips. Cells cultured on the IPTS-SHH cell chip also showed high expression of motor neuron cell-specific markers, such as HB9 and TUJ-1. Therefore, we suggest that the newly engineered industrial PLA scaffold is an innovative tool for cell proliferation and motor neuron differentiation.

Indexed as

Cell AdhesionCell DifferentiationCell LineCell ProliferationHedgehog ProteinsHumansMetal NanoparticlesMotor NeuronsNanofibersNeural Stem CellsOligodendrocyte Transcription Factor 2PolyestersPrinting, Three-DimensionalTissue ScaffoldsHedgehog ProteinsOligodendrocyte Transcription Factor 2Polyesterspoly(lactide)3D culturecell chipgold nanoparticlesindustrial polylactic acidneural stem cell

Identifiers

PMID35216320
PMCPMC8879874

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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.