Title |
TGF-β stimulation in human and murine cells reveals commonly affected biological processes and pathways at transcription level
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Published in |
BMC Systems Biology, May 2014
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DOI | 10.1186/1752-0509-8-55 |
Pubmed ID | |
Authors |
Khalid Abnaof, Nikhil Mallela, Gudrun Walenda, Steffen K Meurer, Kristin Seré, Qiong Lin, Bert Smeets, Kurt Hoffmann, Wolfgang Wagner, Martin Zenke, Ralf Weiskirchen, Holger Fröhlich |
Abstract |
The TGF-β signaling pathway is a fundamental pathway in the living cell, which plays a key role in many central cellular processes. The complex and sometimes contradicting mechanisms by which TGF-β yields phenotypic effects are not yet completely understood. In this study we investigated and compared the transcriptional response profile of TGF-β1 stimulation in different cell types. For this purpose, extensive experiments are performed and time-course microarray data are generated in human and mouse parenchymal liver cells, human mesenchymal stromal cells and mouse hematopoietic progenitor cells at different time points. We applied a panel of bioinformatics methods on our data to uncover common patterns in the dynamic gene expression response in respective cells. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Germany | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Scientists | 1 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Germany | 1 | 2% |
Unknown | 57 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 13 | 22% |
Student > Bachelor | 9 | 16% |
Researcher | 6 | 10% |
Student > Doctoral Student | 4 | 7% |
Student > Master | 4 | 7% |
Other | 12 | 21% |
Unknown | 10 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 14 | 24% |
Agricultural and Biological Sciences | 11 | 19% |
Immunology and Microbiology | 5 | 9% |
Medicine and Dentistry | 5 | 9% |
Computer Science | 2 | 3% |
Other | 9 | 16% |
Unknown | 12 | 21% |