Evidence map›Paper›PMID 39852058›Full record

ArticleBiosensors2024

Synergistic Approach of High-Precision 3D Printing and Low Cell Adhesion for Enhanced Self-Assembled Spheroid Formation.

Chunxiang Lu, Aoxiang Jin, Chuang Gao, Hao Qiao, Huazhen Liu, Yi Zhang, Wenbin Sun, Shih-Mo Yang, Yuanyuan Liu

Abstract read
In one paragraph

Article in Biosensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  6. Review
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

9 authors.

Chunxiang LuSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China.ORCID 0009-0009-1101-2051
Aoxiang JinSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China.
Chuang GaoSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China.
Hao QiaoSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China.
Huazhen LiuSchool of Medicine, Shanghai University, Shanghai 200444, China.ORCID 0009-0002-2357-6312
Yi ZhangSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China.
Wenbin SunSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China.
Shih-Mo YangSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China.
Yuanyuan LiuSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China.ORCID 0000-0001-9215-3941

Funding

The National Key R&D Program of China 2023YFC2411303The National Natural Science Foundation of China 61973206
6 · The paper itself

Abstract

Spheroids, as three-dimensional (3D) cell aggregates, can be prepared using various methods, including hanging drops, microwells, microfluidics, magnetic manipulation, and bioreactors. However, current spheroid manufacturing techniques face challenges such as complex workflows, the need for specialized personnel, and poor batch reproducibility. In this study, we designed a support-free, 3D-printed microwell chip and developed a compatible low-cell-adhesion process. Through simulation and experimental validation, we rapidly optimized microwell size and the coating process. We successfully formed three types of spheroids-human immortalized epidermal cells (HaCaTs), umbilical cord mesenchymal stem cells (UC-MSCs), and human osteosarcoma cells (MG63s)-on the chip. Fluorescent viability staining confirmed the biocompatibility and reliability of the chip. Finally, drug response experiments were conducted using the chip. Compared to traditional methods, our proposed strategy enables high-throughput production of size-controlled spheroids with excellent shape retention, while enhanced gas exchange during culture improves differentiation marker expression. This platform provides an efficient and cost-effective solution for biosensing applications, such as drug screening, disease modeling, and personalized therapy monitoring. Furthermore, the chip shows significant potential for real-time in vitro monitoring of cellular viability, reaction kinetics, and drug sensitivity, offering valuable advancements in biosensor technology for life sciences and medical applications.

Indexed as

Biosensing TechniquesPrinting, Three-DimensionalSpheroids, CellularCell AdhesionCell Culture TechniquesCell SurvivalHumansMesenchymal Stem Cells3D printingbiofabricationchipspheroid

Identifiers

PMID39852058
PMCPMC11764235

What OpenQuestion holds

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LicenceCC BY
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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.