Evidence map›Paper›PMID 26244019›Full record

ArticleGenomics insights2009

Gene Expression Analysis of Four Radiation-resistant Bacteria.

Na Gao, Bin-Guang Ma, Yu-Sheng Zhang, Qin Song, Ling-Ling Chen, Hong-Yu Zhang

Open access · hybridAbstract read
In one paragraph

Article in Genomics insights, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 48% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 1 institution in 1 country.

Na GaoShandong Provincial Research Center for Bioinformatic Engineering and Technique, Center for Advanced Study, School of Life Sciences, Shandong University of Technology, Zibo 255049, P.R. China.
Bin-Guang MaShandong Provincial Research Center for Bioinformatic Engineering and Technique, Center for Advanced Study, School of Life Sciences, Shandong University of Technology, Zibo 255049, P.R. China. ; Computational Biology Unit, Bergen Center for Computational Science, University of Bergen, Bergen 5008, Norway.
Yu-Sheng ZhangShandong Provincial Research Center for Bioinformatic Engineering and Technique, Center for Advanced Study, School of Life Sciences, Shandong University of Technology, Zibo 255049, P.R. China.
Qin SongShandong Provincial Research Center for Bioinformatic Engineering and Technique, Center for Advanced Study, School of Life Sciences, Shandong University of Technology, Zibo 255049, P.R. China.
Ling-Ling ChenShandong Provincial Research Center for Bioinformatic Engineering and Technique, Center for Advanced Study, School of Life Sciences, Shandong University of Technology, Zibo 255049, P.R. China.
Hong-Yu ZhangShandong Provincial Research Center for Bioinformatic Engineering and Technique, Center for Advanced Study, School of Life Sciences, Shandong University of Technology, Zibo 255049, P.R. China.
University of Bergen · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the general radiation-resistant mechanisms of bacteria, bioinformatic method was employed to predict highly expressed genes for four radiation-resistant bacteria, i.e. Deinococcus geothermalis (D. geo), Deinococcus radiodurans (D. rad), Kineococcus radiotolerans (K. rad) and Rubrobacter xylanophilus (R. xyl). It is revealed that most of the three reference gene sets, i.e. ribosomal proteins, transcription factors and major chaperones, are generally highly expressed in the four bacteria. Recombinase A (recA), a key enzyme in recombinational repair, is predicted to be highly or marginally highly expressed in the four bacteria. However, most proteins associated with other repair systems show low expression levels. Some genes participating in 'information storage and processing,' 'cellular processes and signaling' and 'metabolism' are among the top twenty predicted highly expressed (PHX) genes in the four genomes. Many antioxidant enzymes and proteases are commonly highly expressed in the four bacteria, indicating that these enzymes play important roles in resisting irradiation. Finally, a number of 'hypothetical genes' are among the top twenty PHX genes in each genome, some of them might contribute vitally to resist irradiation. Some of the prediction results are supported by experimental evidence. All the above information not only helps to understand the radiation-resistant mechanisms but also provides clues for identifying new radiation-resistant genes from these bacteria.

Indexed as

antioxidant enzymesE valuepredicted highly expressed (PHX) genesradiation-resistant bacteriarecombinase A

Identifiers

PMID26244019
PMCPMC4510606
OpenAlexW1499351373

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.