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miRNAs in Ancient Tissue Specimens of the Tyrolean Iceman

Overview of attention for article published in Molecular Biology and Evolution, December 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

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20 news outlets
blogs
3 blogs
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10 X users
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1 Facebook page

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45 Mendeley
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Article details
Title
miRNAs in Ancient Tissue Specimens of the Tyrolean Iceman
Published in
Molecular Biology and Evolution, December 2016
DOI 10.1093/molbev/msw291
Pubmed ID
Authors
Abstract

The analysis of nucleic acids in ancient samples is largely limited to DNA. Small non-coding RNAs (microRNAs) are known to be evolutionary conserved and stable. To gain knowledge on miRNAs measured from ancient samples we profiled microRNAs in cryoconserved mummies. First, we established the approach on a World War One warrior, the "Kaiserjäger", which has been preserved for almost one century. Then, we profiled seven ancient tissue specimens including skeletal muscle, stomach mucosa, stomach content and two corpus organ tissues of the 5,300 year-old copper age mummy Iceman and compared these profiles to the presence of organ-specific miRNAs in modern tissues. Our analyses suggest the presence of specific miRNAs in the different Iceman's tissues. Of 1,066 analyzed human miRNAs 31 were discovered across all biopsies and 87 miRNAs were detected only in a single sample. To check for potential microbiological contaminations, all miRNAs detected in Iceman samples and not present in ancient samples were mapped to 14,582 bacterial and viral genomes. We detected few hits (3.9% of miRNAs compared to 3.6% of miRNAs). Interestingly, the miRNAs with higher abundance across all ancient tissues were significantly enriched for Guanine (p-value of 10-13) and Cytosine (p-value of 10-7). The same pattern was observed for modern tissues. Comparing miRNAs measured from ancient organs to modern tissue patterns highlighted significant similarities, e.g. for miRNAs present in the muscle. Our first comprehensive analysis of microRNAs in ancient human tissues indicates that these stable molecules can be detected in tissue specimens after 5,300 years. .

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Italy 1 2%
Finland 1 2%
Canada 1 2%
Unknown 42 93%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 10 22%
Student > Doctoral Student 4 9%
Professor 4 9%
Researcher 4 9%
Other 2 4%
Other 4 9%
Unknown 17 38%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 24%
Agricultural and Biological Sciences 7 16%
Arts and Humanities 3 7%
Computer Science 1 2%
Immunology and Microbiology 1 2%
Other 4 9%
Unknown 18 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 172. 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 04 February 2026.
All research outputs
#292,182
of 34,279,751 outputs
Outputs from Molecular Biology and Evolution
#72
of 6,262 outputs
Outputs of similar age
#4,854
of 461,507 outputs
Outputs of similar age from Molecular Biology and Evolution
#2
of 68 outputs
Altmetric has tracked 34,279,751 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,262 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.9. This one has done particularly well, scoring higher than 98% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 461,507 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 68 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 97% of its contemporaries.