Title |
Systematic Search for Recipes to Generate Induced Pluripotent Stem Cells
|
---|---|
Published in |
PLoS Computational Biology, December 2011
|
DOI | 10.1371/journal.pcbi.1002300 |
Pubmed ID | |
Authors |
Rui Chang, Robert Shoemaker, Wei Wang |
Abstract |
Generation of induced pluripotent stem cells (iPSCs) opens a new avenue in regenerative medicine. One of the major hurdles for therapeutic applications is to improve the efficiency of generating iPSCs and also to avoid the tumorigenicity, which requires searching for new reprogramming recipes. We present a systems biology approach to efficiently evaluate a large number of possible recipes and find those that are most effective at generating iPSCs. We not only recovered several experimentally confirmed recipes but we also suggested new ones that may improve reprogramming efficiency and quality. In addition, our approach allows one to estimate the cell-state landscape, monitor the progress of reprogramming, identify important regulatory transition states, and ultimately understand the mechanisms of iPSC generation. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 44% |
Canada | 1 | 11% |
United Kingdom | 1 | 11% |
Australia | 1 | 11% |
Unknown | 2 | 22% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 56% |
Scientists | 3 | 33% |
Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 9 | 7% |
Portugal | 1 | <1% |
France | 1 | <1% |
Germany | 1 | <1% |
Korea, Republic of | 1 | <1% |
Ireland | 1 | <1% |
Unknown | 123 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 39 | 28% |
Researcher | 27 | 20% |
Student > Master | 12 | 9% |
Student > Bachelor | 12 | 9% |
Professor > Associate Professor | 11 | 8% |
Other | 21 | 15% |
Unknown | 15 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 68 | 50% |
Biochemistry, Genetics and Molecular Biology | 18 | 13% |
Computer Science | 7 | 5% |
Physics and Astronomy | 5 | 4% |
Engineering | 5 | 4% |
Other | 18 | 13% |
Unknown | 16 | 12% |