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Hyperspectral Imaging as a Tool to Study Optical Anisotropy in Lanthanide-Based Molecular Single Crystals
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No lanthanides-based catalysis in eukaryotes.

Giovanna De Simone1, Fabio Polticelli1,2, Silvio Aime3

  • 1Department of Sciences, Roma Tre University, Roma, Italy.

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|December 15, 2018
PubMed
Summary
This summary is machine-generated.

The initial hypothesis of Ce3+-dependent methanol dehydrogenases in eukaryotes is retracted due to database errors. Further research revealed bacterial contamination and annotation mistakes, invalidating the original findings.

Keywords:
archaeabacterialanthanidesmethanol dehydrogenases

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Genomics

Background:

  • The study initially proposed the presence of lanthanide-dependent methanol dehydrogenases (MDHs) in eukaryotes, based on sequence analysis.
  • Putative MDH sequences with Ce3+-dependent active sites were identified in several eukaryotic proteomes, including Homo sapiens.

Purpose of the Study:

  • To investigate the presence and phylogenetic distribution of lanthanide-dependent MDHs in eukaryotic organisms.
  • To analyze protein sequences for Ce3+-based active site signatures and their evolutionary implications.

Main Methods:

  • Phylogenetic analysis of protein families.
  • Examination of protein sequence annotations in public databases (GenBank).
  • Bioinformatic analysis of genome-derived proteomes.

Main Results:

  • Subsequent analyses revealed that the identified eukaryotic MDH sequences were likely due to incorrect GenBank annotations.
  • Evidence indicated pervasive bacterial contamination within the analyzed eukaryotic genomes.
  • The original hypothesis is no longer supported by current data.

Conclusions:

  • The initial hypothesis regarding lanthanide-dependent MDHs in eukaryotes is retracted.
  • This case highlights critical issues with data integrity in sequence databases, including annotation errors and contamination.
  • Increased vigilance regarding the accuracy of deposited genomic and proteomic data is essential.