Evidence map›Paper›PMID 38671208›Full record

ArticleNature protocols2024

Deep-time phylogenetic inference by paleoproteomic analysis of dental enamel.

Alberto J Taurozzi, Patrick L Rüther, Ioannis Patramanis, Claire Koenig, Ryan Sinclair Paterson, Palesa P Madupe, Florian Simon Harking, Frido Welker, Meaghan Mackie, Jazmín Ramos-Madrigal and 2 more

Open access · greenAbstract read
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In one paragraph

Article in Nature protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
11.3field-weighted citation impact, top 1% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

12 citing papers in PubMed, 24 citations in OpenAlex.

  1. Palaeoproteomic Deconvolution of Physical and Genetic Collagen Mixtures.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  7. The Japanese Archipelago sheltered cave lions, not tigers, during the Late Pleistocene.Proceedings of the National Academy of Sciences of the United States of America · 2026
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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

12 authors at 1 institution in 1 country.

Alberto J TaurozziGlobe Institute, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0003-0378-1626
Patrick L RütherNovo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.
Ioannis PatramanisGlobe Institute, University of Copenhagen, Copenhagen, Denmark.
Claire KoenigNovo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-7327-2723
Ryan Sinclair PatersonGlobe Institute, University of Copenhagen, Copenhagen, Denmark.
Palesa P MadupeGlobe Institute, University of Copenhagen, Copenhagen, Denmark.
Florian Simon HarkingNovo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0001-5553-1421
Frido WelkerGlobe Institute, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-4846-6104
Meaghan MackieGlobe Institute, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0003-0763-7592
Jazmín Ramos-MadrigalGlobe Institute, University of Copenhagen, Copenhagen, Denmark. jazmin.madrigal@sund.ku.dk.ORCID 0000-0002-1661-7991
Jesper V OlsenNovo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-4747-4938
Enrico CappelliniGlobe Institute, University of Copenhagen, Copenhagen, Denmark. ecappellini@sund.ku.dk.ORCID 0000-0001-7885-7811
University of Copenhagen · DK

Funding

Danmarks Grundforskningsfond (Danish National Research Foundation) PROTEIOS (DNRF128)EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 101021361EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 722606EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 861389EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 948365Novo Nordisk Fonden (Novo Nordisk Foundation) NNF14CC0001Villum Fonden (Villum Foundation) 17649
6 · The paper itself

Abstract

In temperate and subtropical regions, ancient proteins are reported to survive up to about 2 million years, far beyond the known limits of ancient DNA preservation in the same areas. Accordingly, their amino acid sequences currently represent the only source of genetic information available to pursue phylogenetic inference involving species that went extinct too long ago to be amenable for ancient DNA analysis. Here we present a complete workflow, including sample preparation, mass spectrometric data acquisition and computational analysis, to recover and interpret million-year-old dental enamel protein sequences. During sample preparation, the proteolytic digestion step, usually an integral part of conventional bottom-up proteomics, is omitted to increase the recovery of the randomly degraded peptides spontaneously generated by extensive diagenetic hydrolysis of ancient proteins over geological time. Similarly, we describe other solutions we have adopted to (1) authenticate the endogenous origin of the protein traces we identify, (2) detect and validate amino acid variation in the ancient protein sequences and (3) attempt phylogenetic inference. Sample preparation and data acquisition can be completed in 3-4 working days, while subsequent data analysis usually takes 2-5 days. The workflow described requires basic expertise in ancient biomolecules analysis, mass spectrometry-based proteomics and molecular phylogeny. Finally, we describe the limits of this approach and its potential for the reconstruction of evolutionary relationships in paleontology and paleoanthropology.

Indexed as

Dental EnamelPhylogenyProteomicsAnimalsFossilsHumansMass SpectrometryPaleontology

Identifiers

PMID38671208
OpenAlexW4395665007

What OpenQuestion holds

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Registered trials

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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.