| Title |
Paleoproteomic study of the Iceman’s brain tissue
|
|---|---|
| Published in |
Cellular and Molecular Life Sciences, June 2013
|
| DOI | 10.1007/s00018-013-1360-y |
| Pubmed ID | |
| Authors |
Frank Maixner, Thorsten Overath, Dennis Linke, Marek Janko, Gea Guerriero, Bart H. J. van den Berg, Bjoern Stade, Petra Leidinger, Christina Backes, Marta Jaremek, Benny Kneissl, Benjamin Meder, Andre Franke, Eduard Egarter-Vigl, Eckart Meese, Andreas Schwarz, Andreas Tholey, Albert Zink, Andreas Keller |
| Abstract |
The Tyrolean Iceman, a Copper-age ice mummy, is one of the best-studied human individuals. While the genome of the Iceman has largely been decoded, tissue-specific proteomes have not yet been investigated. We studied the proteome of two distinct brain samples using gel-based and liquid chromatography-mass spectrometry-based proteomics technologies together with a multiple-databases and -search algorithms-driven data-analysis approach. Thereby, we identified a total of 502 different proteins. Of these, 41 proteins are known to be highly abundant in brain tissue and 9 are even specifically expressed in the brain. Furthermore, we found 10 proteins related to blood and coagulation. An enrichment analysis revealed a significant accumulation of proteins related to stress response and wound healing. Together with atomic force microscope scans, indicating clustered blood cells, our data reopens former discussions about a possible injury of the Iceman's head near the site where the tissue samples have been extracted. |
X Demographics
The data shown below were collected from the profiles of 16 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 | 25% |
| United Kingdom | 3 | 19% |
| Spain | 1 | 6% |
| Switzerland | 1 | 6% |
| Korea, Democratic People's Republic of | 1 | 6% |
| Côte d'Ivoire | 1 | 6% |
| France | 1 | 6% |
| Mexico | 1 | 6% |
| Unknown | 3 | 19% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 75% |
| Scientists | 3 | 19% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 1% |
| Italy | 1 | 1% |
| Unknown | 67 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 20% |
| Student > Bachelor | 13 | 19% |
| Researcher | 8 | 12% |
| Professor | 5 | 7% |
| Other | 5 | 7% |
| Other | 12 | 17% |
| Unknown | 12 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 22% |
| Biochemistry, Genetics and Molecular Biology | 13 | 19% |
| Medicine and Dentistry | 10 | 14% |
| Arts and Humanities | 7 | 10% |
| Computer Science | 3 | 4% |
| Other | 8 | 12% |
| Unknown | 13 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 145. 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 20 March 2024.
All research outputs
#286,201
of 25,528,120 outputs
Outputs from Cellular and Molecular Life Sciences
#14
of 5,911 outputs
Outputs of similar age
#1,912
of 210,438 outputs
Outputs of similar age from Cellular and Molecular Life Sciences
#1
of 39 outputs
Altmetric has tracked 25,528,120 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,911 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has done particularly well, scoring higher than 99% of its peers.
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We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.