Evidence map›Paper›PMID 28812179›Full record

ArticleJournal of materials science. Materials in medicine2017

A hybrid co-culture model with endothelial cells designed for the hepatic tissue engineering.

Xiaoning Yang, Xin Wang, Xiaobo Huang, Ruiqiang Hang, Xiangyu Zhang, Bin Tang

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of materials science. Materials in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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 1 institution in 1 country.

Xiaoning YangResearch Institute of Surface Engineering, Taiyuan University of Technology, Taiyuan, 030024, China.
Xin WangResearch Institute of Surface Engineering, Taiyuan University of Technology, Taiyuan, 030024, China.
Xiaobo HuangResearch Institute of Surface Engineering, Taiyuan University of Technology, Taiyuan, 030024, China. huangtyut@163.com.
Ruiqiang HangResearch Institute of Surface Engineering, Taiyuan University of Technology, Taiyuan, 030024, China.
Xiangyu ZhangResearch Institute of Surface Engineering, Taiyuan University of Technology, Taiyuan, 030024, China.
Bin TangResearch Institute of Surface Engineering, Taiyuan University of Technology, Taiyuan, 030024, China. tangbin@tyut.edu.cn.
Taiyuan University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cultured hepatic cells in vitro are prone to losing their characteristic morphologies and biological functions. To avoid this problem, a hybrid co-culture system was proposed to elucidate the effect of cellular communication on the phenotype of hepatic cells. A monolayer of endothelial cells (ECs) was co-cultured on the surface of a three-dimensional (3D) scaffold embedded with HepG2 cells. In this hybrid co-culture system, the growth of encapsulated hepatic cells is barely influenced by the co-cultured ECs. However, the liver-special functions of hepatic cells, including the albumin secretion and the expression levels of hepatocyte-specific genes, are significantly improved. It is deduced that the improved liver-special functions is likely related to the paracrine mechanisms. Hence, this hybrid co-culture model may open a window for the co-cultivation of the multi-type of cells as well as the study of cell-cell signaling interaction.

Indexed as

Tissue EngineeringAnimalsCoculture TechniquesHepatocytesHep G2 CellsHumansHuman Umbilical Vein Endothelial CellsLiverTissue Scaffolds

Identifiers

PMID28812179
OpenAlexW2745181628

What OpenQuestion holds

Textmetadata
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.