Evidence map›Paper›PMID 26451896›Full record

ArticlePlant signaling & behavior2015

2D-DIGE-based proteome expression changes in leaves of rice seedlings exposed to low-level gamma radiation at Iitate village, Fukushima.

Gohei Hayashi, Carlo F Moro, Jai Singh Rohila, Junko Shibato, Akihiro Kubo, Tetsuji Imanaka, Shinzo Kimura, Shoji Ozawa, Satoshi Fukutani, Satoru Endo and 6 more

Open access · bronzeAbstract read
In one paragraph

Article in Plant signaling & behavior, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.7field-weighted citation impact, top 6% 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

11 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. A Quantitative Proteomics View on the Function ofPathogens (Basel, Switzerland) · 2018
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. 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

16 authors at 11 institutions in 4 countries.

Gohei Hayashia Research Reactor Institute; Kyoto University ; Osaka , Japan.
Carlo F Moroc Department of Anatomy ; School of Medicine; Showa University ; Tokyo , Japan.
Jai Singh Rohilad Department of Biology and Microbiology ; South Dakota State University ; SD USA.
Junko Shibatoc Department of Anatomy ; School of Medicine; Showa University ; Tokyo , Japan.
Akihiro Kubof Environmental Stress Mechanisms Section; Center for Environmental Biology and Ecosystem Studies; National Institute for Environmental Studies ; Tsukuba, Ibaraki , Japan.
Tetsuji Imanakaa Research Reactor Institute; Kyoto University ; Osaka , Japan.
Shinzo Kimurag Laboratory of International Epidemiology; Center for International Cooperation; Dokkyo Medical University ; Tochigi , Japan.
Shoji Ozawah 1372-7 Kusabana ; Tokyo , Japan.
Satoshi Fukutania Research Reactor Institute; Kyoto University ; Osaka , Japan.
Satoru Endoi Department of Quantam Energy Applications ; Graduate School of Engineering; Hiroshima University ; Higashi-Hiroshima , Japan.
Katsuki Ichikawaj Office Brain ; Tokyo , Japan.
Ganesh Kumar Agrawalk Research Laboratory for Biotechnology and Biochemistry (RLABB) ; Kathmandu , Nepal.
Seiji Shiodac Department of Anatomy ; School of Medicine; Showa University ; Tokyo , Japan.
Motohide Horim School of Pharmacy; Showa University ; Tokyo , Japan.
Manabu Fukumotob Institute of Development; Aging and Cancer; Tohoku University ; Sendai , Japan.
Randeep Rakwalc Department of Anatomy ; School of Medicine; Showa University ; Tokyo , Japan.
Showa University · JPKyoto University · JPBrain (Germany) · DEDokkyo Medical University · JPGraduate School USA · USKyoto Tachibana University · JPKyoto University Research Reactor Institute · JPNational Institute for Environmental Studies · JPNepal Academy of Science and Technology · NPSouth Dakota State University · USTohoku University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study continues our previous research on investigating the biological effects of low-level gamma radiation in rice at the heavily contaminated Iitate village in Fukushima, by extending the experiments to unraveling the leaf proteome. 14-days-old plants of Japonica rice (Oryza sativa L. cv. Nipponbare) were subjected to gamma radiation level of upto 4 µSv/h, for 72 h. Following exposure, leaf samples were taken from the around 190 µSv/3 d exposed seedling and total proteins were extracted. The gamma irradiated leaf and control leaf (harvested at the start of the experiment) protein lysates were used in a 2-D differential gel electrophoresis (2D-DIGE) experiment using CyDye labeling in order to asses which spots were differentially represented, a novelty of the study. 2D-DIGE analysis revealed 91 spots with significantly different expression between samples (60 positive, 31 negative). MALDI-TOF and TOF/TOF mass spectrometry analyses revealed those as comprising of 59 different proteins (50 up-accumulated, 9 down-accumulated). The identified proteins were subdivided into 10 categories, according to their biological function, which indicated that the majority of the differentially expressed proteins consisted of the general (non-energy) metabolism and stress response categories. Proteome-wide data point to some effects of low-level gamma radiation exposure on the metabolism of rice leaves.

Indexed as

Gamma RaysDown-RegulationElectrophoresis, Gel, Two-DimensionalFluorescent DyesJapanOryzaPlant LeavesPlant ProteinsProteomeSeedlingsUp-RegulationFluorescent DyesPlant ProteinsProteome2D-DIGEFukushimaproteomicsradioactively contaminated soilrice seedling

Identifiers

PMID26451896
PMCPMC4854340
OpenAlexW2192302120

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.