| Title |
Toponomics and neurotoponomics: a new way to medical systems biology
|
|---|---|
| Published in |
Expert Review of Proteomics, January 2014
|
| DOI | 10.1586/14789450.5.2.361 |
| Pubmed ID | |
| Authors |
Walter Schubert, Marcus Bode, Reyk Hillert, Andreas Krusche, Manuela Friedenberger |
| Abstract |
The fluorescence robot imaging technology multi-epitope-ligand-cartography/toponome imaging system has revolutionized the field of proteomics/functional genomics, because it enables the investigator to locate and decipher functional protein networks, the toponome, consisting of hundreds of different proteins in a single cell or tissue section. The technology has been proven to solve key problems in biology and therapy research. It has uncovered a new cellular transdifferentiation mechanism of vascular cells giving rise to myogenic cells in situ and in vivo; a finding that has led to efficient cell therapy models of muscle disorders, and discovered a new target protein in sporadic amyotrophic lateral sclerosis by hierarchical protein network analysis, a finding that has been confirmed by a mouse knockout model. A lead target protein in tumor cells that controls cell polarization as a mechanism that is fundamental for migration and metastasis formation has also been uncovered, and new functional territories in the CNS defined by high-dimensional synaptic protein clusters have been unveiled. The technology can be effectively interlocked with genomics and proteomics to optimize time-to-market and the overall attrition rate of new drugs. This review outlines major proofs of principle with an emphasis on neurotoponomics. |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 5% |
| France | 1 | 5% |
| Unknown | 18 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 45% |
| Student > Master | 2 | 10% |
| Student > Doctoral Student | 1 | 5% |
| Student > Bachelor | 1 | 5% |
| Other | 1 | 5% |
| Other | 4 | 20% |
| Unknown | 2 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 45% |
| Medicine and Dentistry | 3 | 15% |
| Biochemistry, Genetics and Molecular Biology | 2 | 10% |
| Computer Science | 2 | 10% |
| Psychology | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 2 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 03 December 2018.
All research outputs
#7,454,951
of 22,790,780 outputs
Outputs from Expert Review of Proteomics
#191
of 685 outputs
Outputs of similar age
#91,773
of 304,974 outputs
Outputs of similar age from Expert Review of Proteomics
#64
of 182 outputs
Altmetric has tracked 22,790,780 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 685 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 59% of its peers.
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