| Title |
Prospective Transcriptomic Pathway Analysis of Human Lymphatic Vascular Insufficiency: Identification and Validation of a Circulating Biomarker Panel
|
|---|---|
| Published in |
PLOS ONE, December 2012
|
| DOI | 10.1371/journal.pone.0052021 |
| Pubmed ID | |
| Authors |
Shin Lin, Jeanna Kim, Mi-Joung Lee, Leslie Roche, Nancy L. Yang, Philip S. Tsao, Stanley G. Rockson |
| Abstract |
In our previous transcriptional profiling of a murine model, we have identified a remarkably small number of specific pathways with altered expression in lymphedema. In this investigation, we utilized microarray-based transcriptomics of human skin for an unbiased a priori prospective candidate identification, with subsequent validation of these candidates through direct serum assay. The resulting multi-analyte biomarker panel sensitively should sensitively discriminate human lymphedema subjects from normal individuals. |
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 | 4 | 50% |
| United Kingdom | 1 | 13% |
| New Zealand | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 88% |
| Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 12% |
| Student > Bachelor | 6 | 12% |
| Student > Ph. D. Student | 5 | 10% |
| Student > Doctoral Student | 4 | 8% |
| Student > Master | 4 | 8% |
| Other | 10 | 20% |
| Unknown | 16 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 24% |
| Agricultural and Biological Sciences | 8 | 16% |
| Biochemistry, Genetics and Molecular Biology | 5 | 10% |
| Nursing and Health Professions | 5 | 10% |
| Unspecified | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 17 | 33% |