Evidence map›Paper›PMID 14986133›Full record

ArticleDevelopment genes and evolution2004

A description of the Mei2-like protein family; structure, phylogenetic distribution and biological context.

Daniel C Jeffares, Matthew J Phillips, Stanley Moore, Bruce Veit

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Article in Development genes and evolution, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact, top 94% 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

21 citing papers in PubMed, 0 citations in OpenAlex.

  1. Article
  2. Article
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  11. Transcriptomic Analyses ofFrontiers in microbiology · 2017
    Article
  12. Transcriptomic Analysis of Thermally StressedFrontiers in plant science · 2017
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Stem cell signalling networks in plants.Plant molecular biology · 2006
    Review
  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 at 4 institutions in 3 countries.

Daniel C JeffaresDepartment of Evolutionary Biology, University of Copenhagen, Universitetsparken 15, 2100 Copenhagen, Denmark. djeffares@zi.ku.dk
Matthew J Phillips
Stanley Moore
Bruce Veit
AgResearch · NZAllan Wilson Centre · NZMassey University · NZUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Schizosaccharomyces pombe Mei2 gene encodes an RNA recognition motif (RRM) protein that stimulates meiosis upon binding a specific non-coding RNA and subsequent accumulation in a "mei2-dot" in the nucleus. We present here the first systematic characterization of the family of proteins with characteristic Mei2-like amino acid sequences. Mei2-like proteins are an ancient eukaryotic protein family with three identifiable RRMs. The C-terminal RRM (RRM3) is unique to Mei2-like proteins and is the most highly conserved of the three RRMs. RRM3 also contains conserved sequence elements at its C-terminus not found in other RRM domains. Single copy Mei2-like genes are present in some fungi, in alveolates such as Paramecium and in the early branching eukaryote Entamoeba histolytica, while plants contain small families of Mei2-like genes. While the C-terminal RRM is highly conserved between plants and fungi, indicating conservation of molecular mechanisms, plant Mei2-like genes have changed biological context to regulate various aspects of developmental pattern formation.

Indexed as

Amino Acid SequenceMolecular Sequence DataPhylogenyProtein ConformationRNA-Binding ProteinsSchizosaccharomycesSchizosaccharomyces pombe ProteinsSequence Homology, Amino Acidmei2 protein, S pombeRNA-Binding ProteinsSchizosaccharomyces pombe Proteins

Identifiers

PMID14986133
OpenAlexW1607717526

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.