| Title |
A Transcription Factor Map as Revealed by a Genome-Wide Gene Expression Analysis of Whole-Blood mRNA Transcriptome in Multiple Sclerosis
|
|---|---|
| Published in |
PLOS ONE, December 2010
|
| DOI | 10.1371/journal.pone.0014176 |
| Pubmed ID | |
| Authors |
Carlos Riveros, Drew Mellor, Kaushal S. Gandhi, Fiona C. McKay, Mathew B. Cox, Regina Berretta, S. Yahya Vaezpour, Mario Inostroza-Ponta, Simon A. Broadley, Robert N. Heard, Stephen Vucic, Graeme J. Stewart, David W. Williams, Rodney J. Scott, Jeanette Lechner-Scott, David R. Booth, Pablo Moscato |
| Abstract |
Several lines of evidence suggest that transcription factors are involved in the pathogenesis of Multiple Sclerosis (MS) but complete mapping of the whole network has been elusive. One of the reasons is that there are several clinical subtypes of MS and transcription factors that may be involved in one subtype may not be in others. We investigate the possibility that this network could be mapped using microarray technologies and contemporary bioinformatics methods on a dataset derived from whole blood in 99 untreated MS patients (36 Relapse Remitting MS, 43 Primary Progressive MS, and 20 Secondary Progressive MS) and 45 age-matched healthy controls. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| Spain | 1 | 1% |
| Germany | 1 | 1% |
| Australia | 1 | 1% |
| Unknown | 95 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 25% |
| Student > Ph. D. Student | 19 | 19% |
| Student > Master | 12 | 12% |
| Other | 8 | 8% |
| Professor > Associate Professor | 7 | 7% |
| Other | 15 | 15% |
| Unknown | 14 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 27% |
| Medicine and Dentistry | 21 | 21% |
| Biochemistry, Genetics and Molecular Biology | 16 | 16% |
| Neuroscience | 8 | 8% |
| Immunology and Microbiology | 5 | 5% |
| Other | 10 | 10% |
| Unknown | 13 | 13% |