Evidence map›Paper›PMID 23193296›Full record

ArticleNucleic acids research2013

LUCApedia: a database for the study of ancient life.

Aaron David Goldman, Tess M Bernhard, Egor Dolzhenko, Laura F Landweber

Abstract read
In one paragraph

Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

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

34 citing papers in PubMed.

  1. Article
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  7. Review
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  9. Review
  10. A New View of the Last Universal Common Ancestor.Journal of molecular evolution · 2024
    Article
  11. Article
  12. Peptides En Route from Prebiotic to Biotic Catalysis.Accounts of chemical research · 2024
    Article
  13. Electron transport chains as a window into the earliest stages of evolution.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  14. Article
  15. Review
  16. Article
  17. Scaling laws in enzyme function reveal a new kind of biochemical universality.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  18. Article
  19. Article
  20. Article
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

4 authors.

Aaron David GoldmanDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08542, USA. adg@princeton.edu
Tess M Bernhard
Egor Dolzhenko
Laura F Landweber

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Organisms represented by the root of the universal evolutionary tree were most likely complex cells with a sophisticated protein translation system and a DNA genome encoding hundreds of genes. The growth of bioinformatics data from taxonomically diverse organisms has made it possible to infer the likely properties of early life in greater detail. Here we present LUCApedia, (http://eeb.princeton.edu/lucapedia), a unified framework for simultaneously evaluating multiple data sets related to the Last Universal Common Ancestor (LUCA) and its predecessors. This unification is achieved by mapping eleven such data sets onto UniProt, KEGG and BioCyc IDs. LUCApedia may be used to rapidly acquire evidence that a certain gene or set of genes is ancient, to examine the early evolution of metabolic pathways, or to test specific hypotheses related to ancient life by corroborating them against the rest of the database.

Indexed as

Databases, GeneticEvolution, MolecularInternetMetabolic Networks and PathwaysMultigene FamilyOrigin of LifePhylogenyProteinsSoftwareProteins

Identifiers

PMID23193296
PMCPMC3531223

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.