| Title |
Using Phage and Yeast Display to Select Hundreds of Monoclonal Antibodies: Application to Antigen 85, a Tuberculosis Biomarker
|
|---|---|
| Published in |
PLOS ONE, November 2012
|
| DOI | 10.1371/journal.pone.0049535 |
| Pubmed ID | |
| Authors |
Fortunato Ferrara, Leslie A. Naranjo, Sandeep Kumar, Tiziano Gaiotto, Harshini Mukundan, Basil Swanson, Andrew R. M. Bradbury |
| Abstract |
Current diagnostic methods for tuberculosis (TB), a major global health challenge that kills nearly two million people annually, are time-consuming and inadequate. During infection a number of bacterial molecules that play a role in the infective process are released and have been proposed as biomarkers for early TB diagnosis. Antigen 85 (Ag85) is the most abundant secreted TB protein, and a potential target for this diagnostic approach. One of the bottlenecks in the direct detection of such bacterial targets is the availability of robust, sensitive, specific antibodies. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Peru | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 1% |
| Sweden | 1 | <1% |
| India | 1 | <1% |
| Russia | 1 | <1% |
| Japan | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 134 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 36 | 26% |
| Student > Ph. D. Student | 34 | 24% |
| Student > Master | 15 | 11% |
| Student > Bachelor | 12 | 9% |
| Student > Doctoral Student | 6 | 4% |
| Other | 16 | 11% |
| Unknown | 22 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 48 | 34% |
| Biochemistry, Genetics and Molecular Biology | 30 | 21% |
| Medicine and Dentistry | 9 | 6% |
| Immunology and Microbiology | 8 | 6% |
| Engineering | 7 | 5% |
| Other | 18 | 13% |
| Unknown | 21 | 15% |