Evidence map›Paper›PMID 34326450›Full record

ArticleScientific reports2021

DNA methylation profiling in mummified human remains from the eighteenth-century.

Marco Schmidt, Frank Maixner, Gerhard Hotz, Ildikó Pap, Ildikó Szikossy, György Pálfi, Albert Zink, Wolfgang Wagner

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Marco SchmidtHelmholtz-Institute for Biomedical Engineering, Stem Cell Biology and Cellular Engineering, RWTH Aachen University Medical School, Pauwelsstrasse 20, 52074, Aachen, Germany.
Frank MaixnerInstitute for Mummy Studies, Eurac Research, Viale Druso, 1, 39100, Bolzano, Italy.
Gerhard HotzAnthropological Collection, Natural History Museum of Basel, 4051, Basel, Switzerland.
Ildikó PapDepartment of Biological Anthropology, Faculty of Science and Informatics, University of Szeged, 6726, Szeged, Hungary.
Ildikó SzikossyDepartment of Biological Anthropology, Faculty of Science and Informatics, University of Szeged, 6726, Szeged, Hungary.
György PálfiDepartment of Biological Anthropology, Faculty of Science and Informatics, University of Szeged, 6726, Szeged, Hungary.
Albert ZinkInstitute for Mummy Studies, Eurac Research, Viale Druso, 1, 39100, Bolzano, Italy.
Wolfgang WagnerHelmholtz-Institute for Biomedical Engineering, Stem Cell Biology and Cellular Engineering, RWTH Aachen University Medical School, Pauwelsstrasse 20, 52074, Aachen, Germany. wwagner@ukaachen.de.ORCID 0000-0002-1971-3217

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reconstruction of ancient epigenomes by DNA methylation (DNAm) can shed light into the composition of cell types, disease states, and age at death. However, such analysis is hampered by impaired DNA quality and little is known how decomposition affects DNAm. In this study, we determined if EPIC Illumina BeadChip technology is applicable for specimens from mummies of the eighteenth century CE. Overall, the signal intensity on the microarray was extremely low, but for one of two samples we were able to detect characteristic DNAm signals in a subset of CG dinucleotides (CpGs), which were selected with a stringent processing pipeline. Using only these CpGs we could train epigenetic signatures with reference DNAm profiles of multiple tissues and our predictions matched the fact that the specimen was lung tissue from a 28-year-old woman. Thus, we provide proof of principle that Illumina BeadChips are applicable for DNAm profiling in ancient samples.

Indexed as

DNA MethylationEpigenomeMummiesAdultBody RemainsComputational BiologyCpG IslandsDNAEcologyEpigenesis, GeneticEpigenomicsFemaleGenetic TechniquesHumansHungaryLungDNA

Identifiers

PMID34326450
PMCPMC8322318

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.