| Title |
Human Hepatocytes with Drug Metabolic Function Induced from Fibroblasts by Lineage Reprogramming
|
|---|---|
| Published in |
Cell Stem Cell, February 2014
|
| DOI | 10.1016/j.stem.2014.01.008 |
| Pubmed ID | |
| Authors |
Yuanyuan Du, Jinlin Wang, Jun Jia, Nan Song, Chengang Xiang, Jun Xu, Zhiyuan Hou, Xiaohua Su, Bei Liu, Tao Jiang, Dongxin Zhao, Yingli Sun, Jian Shu, Qingliang Guo, Ming Yin, Da Sun, Shichun Lu, Yan Shi, Hongkui Deng |
| Abstract |
Obtaining fully functional cell types is a major challenge for drug discovery and regenerative medicine. Currently, a fundamental solution to this key problem is still lacking. Here, we show that functional human induced hepatocytes (hiHeps) can be generated from fibroblasts by overexpressing the hepatic fate conversion factors HNF1A, HNF4A, and HNF6 along with the maturation factors ATF5, PROX1, and CEBPA. hiHeps express a spectrum of phase I and II drug-metabolizing enzymes and phase III drug transporters. Importantly, the metabolic activities of CYP3A4, CYP1A2, CYP2B6, CYP2C9, and CYP2C19 are comparable between hiHeps and freshly isolated primary human hepatocytes. Transplanted hiHeps repopulate up to 30% of the livers of Tet-uPA/Rag2(-/-)/γc(-/-) mice and secrete more than 300 μg/ml human ALBUMIN in vivo. Our data demonstrate that human hepatocytes with drug metabolic function can be generated by lineage reprogramming, thus providing a cell resource for pharmaceutical applications. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 25% |
| Peru | 1 | 13% |
| Australia | 1 | 13% |
| United Kingdom | 1 | 13% |
| Canada | 1 | 13% |
| France | 1 | 13% |
| Unknown | 1 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 50% |
| Scientists | 3 | 38% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 330 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 1% |
| China | 2 | <1% |
| Hong Kong | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Iran, Islamic Republic of | 1 | <1% |
| Japan | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 319 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 69 | 21% |
| Student > Ph. D. Student | 68 | 21% |
| Student > Bachelor | 34 | 10% |
| Student > Master | 26 | 8% |
| Student > Postgraduate | 22 | 7% |
| Other | 60 | 18% |
| Unknown | 51 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 93 | 28% |
| Biochemistry, Genetics and Molecular Biology | 90 | 27% |
| Medicine and Dentistry | 41 | 12% |
| Engineering | 14 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 10 | 3% |
| Other | 25 | 8% |
| Unknown | 57 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 38. 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 14 May 2024.
All research outputs
#1,093,958
of 26,017,215 outputs
Outputs from Cell Stem Cell
#745
of 2,851 outputs
Outputs of similar age
#10,547
of 239,806 outputs
Outputs of similar age from Cell Stem Cell
#15
of 41 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,851 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 48.9. This one has gotten more attention than average, scoring higher than 73% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 239,806 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.