Evidence map›Paper›PMID 22411911›Full record

ArticleNucleic acids research2012

How much can we learn about the function of bacterial rRNA modification by mining large-scale experimental datasets?

Petr V Sergiev, Anna Y Golovina, Olga V Sergeeva, Ilya A Osterman, Mikhail V Nesterchuk, Alexey A Bogdanov, Olga A Dontsova

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Mirror-Image 5S Ribonucleoprotein Complexes.Angewandte Chemie (International ed. in English) · 2020
    Article
  3. Comprehensive Functional Analysis ofFrontiers in genetics · 2020
    Article
  4. Screening of Potential Genes and Transcription Factors of Postoperative Cognitive Dysfunction via Bioinformatics Methods.Medical science monitor : international medical journal of experimental and clinical research · 2018
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
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

7 authors at 1 institution in 2 countries.

Petr V SergievLomonosov Moscow State University, Department of Chemistry and A.N. Belozersky Institute of Physico-Chemical Biology, Moscow 119992, Russia. petya@genebee.msu.su
Anna Y Golovina
Olga V Sergeeva
Ilya A Osterman
Mikhail V Nesterchuk
Alexey A Bogdanov
Olga A Dontsova
Moscow State University · TJ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modification of ribosomal RNA is ubiquitous among living organisms. Its functional role is well established for only a limited number of modified nucleotides. There are examples of rRNA modification involvement in the gene expression regulation in the cell. There is a need for large data set analysis in the search for potential functional partners for rRNA modification. In this study, we extracted phylogenetic profile, genome neighbourhood, co-expression and phenotype profile and co-purification data regarding Escherichia coli rRNA modification enzymes from public databases. Results were visualized as graphs using Cytoscape and analysed. Majority linked genes/proteins belong to translation apparatus. Among co-purification partners of rRNA modification enzymes are several candidates for experimental validation. Phylogenetic profiling revealed links of pseudouridine synthetases with RF2, RsmH with translation factors IF2, RF1 and LepA and RlmM with RdgC. Genome neighbourhood connections revealed several putative functionally linked genes, e.g. rlmH with genes coding for cell wall biosynthetic proteins and others. Comparative analysis of expression profiles (Gene Expression Omnibus) revealed two main associations, a group of genes expressed during fast growth and association of rrmJ with heat shock genes. This study might be used as a roadmap for further experimental verification of predicted functional interactions.

Indexed as

Data MiningEnzymesEscherichia coliEscherichia coli ProteinsGene ExpressionGene Knockout TechniquesGenes, BacterialGenome, BacterialPhenotypeRNA, BacterialRNA, RibosomalEnzymesEscherichia coli ProteinsRNA, BacterialRNA, Ribosomal

Identifiers

PMID22411911
PMCPMC3384335
OpenAlexW2123379349

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.