Title |
A Reliable Way to Detect Endogenous Murine β-Amyloid
|
---|---|
Published in |
PLOS ONE, February 2013
|
DOI | 10.1371/journal.pone.0055647 |
Pubmed ID | |
Authors |
Andrew F. Teich, Mitesh Patel, Ottavio Arancio |
Abstract |
Unraveling the normal physiologic role of β-amyloid is likely crucial to understanding the pathogenesis of Alzheimer's disease. However, progress on this question is currently limited by the high background of many ELISAs for murine β-amyloid. Here, we examine the background signal of several murine β-amyloid ELISAs, and conclude that the majority of the background is from non-APP derived proteins. Most importantly, we identify ELISAs that eliminate this background signal. |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 3 | 3% |
Korea, Republic of | 1 | 1% |
Spain | 1 | 1% |
Belgium | 1 | 1% |
Unknown | 88 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 25 | 27% |
Student > Master | 16 | 17% |
Researcher | 14 | 15% |
Student > Bachelor | 9 | 10% |
Professor > Associate Professor | 7 | 7% |
Other | 16 | 17% |
Unknown | 7 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 31 | 33% |
Neuroscience | 23 | 24% |
Biochemistry, Genetics and Molecular Biology | 15 | 16% |
Medicine and Dentistry | 6 | 6% |
Chemistry | 3 | 3% |
Other | 7 | 7% |
Unknown | 9 | 10% |