| Title |
Regulation of embryonic stem cell self-renewal and differentiation by TGF-β family signaling
|
|---|---|
| Published in |
Science China Life Sciences, May 2010
|
| DOI | 10.1007/s11427-010-0096-2 |
| Pubmed ID | |
| Authors |
Teng Fei, Ye-Guang Chen |
| Abstract |
Embryonic stem (ES) cells are characterized by their ability to indefinitely self-renew and potential to differentiate into all the cell lineages of the body. ES cells are considered to have potential applications in regenerative medicine. In particular, the emergence of an ES cell analogue - induced pluripotent stem (iPS) cells via somatic cell reprogramming by co-expressing a limited number of critical stemness-related transcriptional factors has solved the problem of obtaining patient-specific pluripotent cells, encouraging researchers to develop more specific and functional cell lineages from ES or iPS cells for broad therapeutic applications. ES cell fate choice is delicately controlled by a core transcriptional network, epigenetic modification profiles and complex signaling cascades both intrinsically and extrinsically. Of these signals, transforming growth factor beta (TGF-beta) family members, including TGF-beta, bone morphogenetic protein (BMP), Activin and Nodal, have been reported to influence cell self-renewal and a broad spectrum of lineage differentiation in ES cells, in accordance with the key roles of TGF-beta family signaling in early embryo development. In this review, the roles of TGF-beta family signals in coordinating ES cell fate determination are summarized. |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iran, Islamic Republic of | 1 | 3% |
| United Kingdom | 1 | 3% |
| China | 1 | 3% |
| Unknown | 34 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 30% |
| Student > Master | 6 | 16% |
| Researcher | 6 | 16% |
| Other | 3 | 8% |
| Student > Postgraduate | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 10 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 35% |
| Biochemistry, Genetics and Molecular Biology | 7 | 19% |
| Medicine and Dentistry | 4 | 11% |
| Mathematics | 2 | 5% |
| Materials Science | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 9 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 27 February 2013.
All research outputs
#7,454,066
of 22,788,370 outputs
Outputs from Science China Life Sciences
#276
of 1,002 outputs
Outputs of similar age
#34,325
of 95,186 outputs
Outputs of similar age from Science China Life Sciences
#2
of 7 outputs
Altmetric has tracked 22,788,370 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,002 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one has gotten more attention than average, scoring higher than 65% of its peers.
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We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.