Automated Author Profile

Sicheritz-Pontén, Thomas

Current S-Index

2.8

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.9

Average Dataset Index per dataset

Total Datasets

3

Total datasets for this author

Average FAIR Score

71.2%

Average FAIR Score per dataset

Total Citations

3

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Supplementary Tables 1-8 from Multi-omic detection of <i>Mycobacterium leprae</i> in archaeological human dental calculus

Mineralized dental plaque (calculus) has proven to be an excellent source of ancient biomolecules. Here, we present a Mycobacterium leprae genome (6.6-fold), the causative agent of leprosy, recovered via shotgun sequencing of sixteenth-century human dental calculus from an individual from Trondheim, Norway. When phylogenetically placed, this genome falls in branch 3I among the diversity of other contemporary ancient strains from Northern Europe. Moreover, ancient mycobacterial peptides were retrieved via mass spectrometry-based proteomics, further validating the presence of the pathogen. Mycobacterium leprae can readily be detected in the oral cavity and associated mucosal membranes, which likely contributed to it being incorporated into this individual's dental calculus. This individual showed some possible, but not definitive, evidence of skeletal lesions associated with early-stage leprosy. This study is the first known example of successful multi-omics retrieval of M. leprae from archaeological dental calculus. Furthermore, we offer new insights into dental calculus as an alternative sample source to bones or teeth for detecting and molecularly characterizing M. leprae in individuals from the archaeological record.This article is part of the theme issue ‘Insights into health and disease from ancient biomolecules’.

Authors

  • Fotakis, Anna K. ;
  • Denham, Sean D. ;
  • Mackie, Meaghan ;
  • Orbegozo, Miren Iraeta ;
  • Mylopotamitaki, Dorothea ;
  • Gopalakrishnan, Shyam ;
  • Sicheritz-Pontén, Thomas ;
  • Olsen, Jesper V. ;
  • Cappellini, Enrico ;
  • Zhang, Guojie ;
  • Christophersen, Axel ;
  • Gilbert, M. Thomas P. ;
  • Vågene, Åshild J.
1 Citation0 Mentions44% FAIR1.4 Dataset Index
10.6084/m9.figshare.128274532020

Supplementary Tables 1-8 from Multi-omic detection of <i>Mycobacterium leprae</i> in archaeological human dental calculus

Mineralized dental plaque (calculus) has proven to be an excellent source of ancient biomolecules. Here, we present a Mycobacterium leprae genome (6.6-fold), the causative agent of leprosy, recovered via shotgun sequencing of sixteenth-century human dental calculus from an individual from Trondheim, Norway. When phylogenetically placed, this genome falls in branch 3I among the diversity of other contemporary ancient strains from Northern Europe. Moreover, ancient mycobacterial peptides were retrieved via mass spectrometry-based proteomics, further validating the presence of the pathogen. Mycobacterium leprae can readily be detected in the oral cavity and associated mucosal membranes, which likely contributed to it being incorporated into this individual's dental calculus. This individual showed some possible, but not definitive, evidence of skeletal lesions associated with early-stage leprosy. This study is the first known example of successful multi-omics retrieval of M. leprae from archaeological dental calculus. Furthermore, we offer new insights into dental calculus as an alternative sample source to bones or teeth for detecting and molecularly characterizing M. leprae in individuals from the archaeological record.This article is part of the theme issue ‘Insights into health and disease from ancient biomolecules’.

Authors

  • Fotakis, Anna K. ;
  • Denham, Sean D. ;
  • Mackie, Meaghan ;
  • Orbegozo, Miren Iraeta ;
  • Mylopotamitaki, Dorothea ;
  • Gopalakrishnan, Shyam ;
  • Sicheritz-Pontén, Thomas ;
  • Olsen, Jesper V. ;
  • Cappellini, Enrico ;
  • Zhang, Guojie ;
  • Christophersen, Axel ;
  • Gilbert, M. Thomas P. ;
  • Vågene, Åshild J.
1 Citation0 Mentions85% FAIR0.7 Dataset Index
10.6084/m9.figshare.12827453.v12020

Supplementary Tables 1-8 from Multi-omic detection of <i>Mycobacterium leprae</i> in archaeological human dental calculus

Mineralized dental plaque (calculus) has proven to be an excellent source of ancient biomolecules. Here, we present a Mycobacterium leprae genome (6.6-fold), the causative agent of leprosy, recovered via shotgun sequencing of sixteenth-century human dental calculus from an individual from Trondheim, Norway. When phylogenetically placed, this genome falls in branch 3I among the diversity of other contemporary ancient strains from Northern Europe. Moreover, ancient mycobacterial peptides were retrieved via mass spectrometry-based proteomics, further validating the presence of the pathogen. Mycobacterium leprae can readily be detected in the oral cavity and associated mucosal membranes, which likely contributed to it being incorporated into this individual's dental calculus. This individual showed some possible, but not definitive, evidence of skeletal lesions associated with early-stage leprosy. This study is the first known example of successful multi-omics retrieval of M. leprae from archaeological dental calculus. Furthermore, we offer new insights into dental calculus as an alternative sample source to bones or teeth for detecting and molecularly characterizing M. leprae in individuals from the archaeological record.This article is part of the theme issue ‘Insights into health and disease from ancient biomolecules’.

Authors

  • Fotakis, Anna K. ;
  • Denham, Sean D. ;
  • Mackie, Meaghan ;
  • Orbegozo, Miren Iraeta ;
  • Mylopotamitaki, Dorothea ;
  • Gopalakrishnan, Shyam ;
  • Sicheritz-Pontén, Thomas ;
  • Olsen, Jesper V. ;
  • Cappellini, Enrico ;
  • Zhang, Guojie ;
  • Christophersen, Axel ;
  • Gilbert, M. Thomas P. ;
  • Vågene, Åshild J.
1 Citation0 Mentions85% FAIR0.7 Dataset Index
10.6084/m9.figshare.12827453.v22020