| Title |
In vitro detection of adrenocorticotropic hormone levels by fluorescence correlation spectroscopy immunoassay for mathematical modeling of glucocorticoid-mediated feedback mechanisms
|
|---|---|
| Published in |
EURASIP Journal on Bioinformatics & Systems Biology, October 2012
|
| DOI | 10.1186/1687-4153-2012-17 |
| Pubmed ID | |
| Authors |
Martin Gerald Puchinger, Clemens Alexander Zarzer, Philipp Kügler, Erwin Gaubitzer, Gottfried Köhler |
| Abstract |
Performing quantitative, highly sensitive measurements at a single molecule level is often necessary to address specific issues related to complex molecular and biochemical systems. For that purpose, we present a technique exploiting both the flexibility of immunoassays as well as the low operating costs and high throughput rates of the fluorescence correlation spectroscopy (FCS) method. That way we have established a quantitative measurement technique providing accurate and flexibly time resolved data of single molecules. Nanomolar changes in adrenocorticotropic hormone (ACTH) levels have been detected in a short time-frame that are caused by fast feedback actions in AtT-20 anterior pituitary glands in vitro. Especially with respect to clinical diagnostic or mathematical modeling this improved FCS setup may be of high relevance in order to accurately quantify the amounts of peptide hormones-such as ACTH-as well as signaling molecules, transcription factors, etc., being involved in intra- and extracellular reaction networks. |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 30% |
| Student > Bachelor | 2 | 20% |
| Student > Ph. D. Student | 2 | 20% |
| Student > Master | 2 | 20% |
| Lecturer | 1 | 10% |
| Other | 0 | 0% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 30% |
| Biochemistry, Genetics and Molecular Biology | 1 | 10% |
| Business, Management and Accounting | 1 | 10% |
| Mathematics | 1 | 10% |
| Immunology and Microbiology | 1 | 10% |
| Other | 1 | 10% |
| Unknown | 2 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 October 2012.
All research outputs
#22,834,739
of 25,460,914 outputs
Outputs from EURASIP Journal on Bioinformatics & Systems Biology
#42
of 53 outputs
Outputs of similar age
#181,558
of 202,181 outputs
Outputs of similar age from EURASIP Journal on Bioinformatics & Systems Biology
#1
of 2 outputs
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So far Altmetric has tracked 53 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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