| Title |
Emerging liver organoid platforms and technologies
|
|---|---|
| Published in |
Cell Regeneration, August 2021
|
| DOI | 10.1186/s13619-021-00089-1 |
| Pubmed ID | |
| Authors |
Do Thuy Uyen Ha Lam, Yock Young Dan, Yun-Shen Chan, Huck-Hui Ng |
| Abstract |
Building human organs in a dish has been a long term goal of researchers in pursue of physiologically relevant models of human disease and for replacement of worn out and diseased organs. The liver has been an organ of interest for its central role in regulating body homeostasis as well as drug metabolism. An accurate liver replica should contain the multiple cell types found in the organ and these cells should be spatially organized to resemble tissue structures. More importantly, the in vitro model should recapitulate cellular and tissue level functions. Progress in cell culture techniques and bioengineering approaches have greatly accelerated the development of advance 3-dimensional (3D) cellular models commonly referred to as liver organoids. These 3D models described range from single to multiple cell type containing cultures with diverse applications from establishing patient-specific liver cells to modeling of chronic liver diseases and regenerative therapy. Each organoid platform is advantageous for specific applications and presents its own limitations. This review aims to provide a comprehensive summary of major liver organoid platforms and technologies developed for diverse applications. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 20% |
| Researcher | 6 | 14% |
| Student > Ph. D. Student | 6 | 14% |
| Student > Bachelor | 3 | 7% |
| Student > Doctoral Student | 2 | 5% |
| Other | 5 | 11% |
| Unknown | 13 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 18% |
| Engineering | 8 | 18% |
| Biochemistry, Genetics and Molecular Biology | 6 | 14% |
| Medicine and Dentistry | 4 | 9% |
| Unspecified | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 14 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 July 2022.
All research outputs
#18,860,161
of 23,371,053 outputs
Outputs from Cell Regeneration
#116
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Outputs of similar age
#313,096
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Outputs of similar age from Cell Regeneration
#6
of 9 outputs
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