Evidence map›Paper›PMID 30319779›Full record

ArticleJournal of materials chemistry. B2018

Nanoscale 3D printing of hydrogels for cellular tissue engineering.

Shangting You, Jiawen Li, Wei Zhu, Claire Yu, Deqing Mei, Shaochen Chen

Abstract read
In one paragraph

Article in Journal of materials chemistry. B, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

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  15. Article
  16. Emerging Technologies in Multi-Material Bioprinting.Advanced materials (Deerfield Beach, Fla.) · 2021
    Review
  17. Review
  18. Article
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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.

Shangting YouDepartment of NanoEngineering, University of California, San Diego, La Jolla, CA 92093-0448, USA.
Jiawen LiDepartment of NanoEngineering, University of California, San Diego, La Jolla, CA 92093-0448, USA.
Wei ZhuDepartment of NanoEngineering, University of California, San Diego, La Jolla, CA 92093-0448, USA.
Claire YuDepartment of NanoEngineering, University of California, San Diego, La Jolla, CA 92093-0448, USA.
Deqing MeiDepartment of Mechanical Engineering, Zhejiang University, Hangzhou, 310027, China.
Shaochen ChenDepartment of NanoEngineering, University of California, San Diego, La Jolla, CA 92093-0448, USA.

Funding

Rapid 3D bioprinting of biomimetic vascularized tissue constructsR01EB021857 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHEN, SHAOCHEN, DOKMECI, MEHMET REMZI · 2016 to 2019
$2.1M
Rapid 3D-printing of Multi-functional Adaptive Nerve ConduitsR21HD090662 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHEN, SHAOCHEN · 2017 to 2018
$382k
NIBIB NIH HHS R01 EB021857NICHD NIH HHS R21 HD090662
6 · The paper itself

Abstract

Hydrogel scaffolds that mimic the native extracellular matrix (ECM) environment is a crucial part of tissue engineering. It has been demonstrated that cell behaviors can be affected by not only the hydrogel's physical and chemical properties, but also its three dimensional (3D) geometrical structures. In order to study the influence of 3D geometrical cues on cell behaviors as well as the maturation and function of engineered tissues, it is imperative to develop 3D fabrication techniques to create micro and nanoscale hydrogel constructs. Among existing techniques that can effectively pattern hydrogels, two-photon polymerization (2PP)-based femtosecond laser 3D printing technology allows one to produce hydrogel structures with 100 nm resolution. This article reviews the basics of this technique as well as some of its applications in tissue engineering.

Identifiers

PMID30319779
PMCPMC6178227

What OpenQuestion holds

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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.