Evidence map›Paper›PMID 27462335›Full record

ArticleFrontiers in plant science2016

Circadian Profiling of the Arabidopsis Proteome Using 2D-DIGE.

Mani K Choudhary, Yuko Nomura, Hua Shi, Hirofumi Nakagami, David E Somers

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. DIGE Analysis Software and Protein Identification Approaches.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. What makes ribosomes tick?RNA biology · 2018
    Review
  15. Article
  16. Parallel analysis ofOpen biology · 2017
    Article
  17. 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

5 authors at 3 institutions in 3 countries.

Mani K ChoudharyDivision of Integrative Biosciences and Biotechnology, Pohang University of Science and Technology Pohang, South Korea.
Yuko NomuraPlant Proteomics Research Unit, RIKEN Center for Sustainable Resource Science Yokohama, Japan.
Hua ShiDepartment of Molecular Genetics, Ohio State University Columbus, OH, USA.
Hirofumi NakagamiPlant Proteomics Research Unit, RIKEN Center for Sustainable Resource Science Yokohama, Japan.
David E SomersDivision of Integrative Biosciences and Biotechnology, Pohang University of Science and TechnologyPohang, South Korea; Department of Molecular Genetics, Ohio State UniversityColumbus, OH, USA.
RIKEN Center for Sustainable Resource Science · JPThe Ohio State University · USPohang University of Science and Technology · KR

Funding

Post-translational control mechanisms of the circadian clockR01GM093285 · NIGMS · OHIO STATE UNIVERSITY · PI SOMERS, DAVID E · 2010 to 2018
$2.7M
NIGMS NIH HHS R01 GM093285
6 · The paper itself

Abstract

Clock-generated biological rhythms provide an adaptive advantage to an organism, resulting in increased fitness and survival. To better elucidate the plant response to the circadian system, we surveyed protein oscillations in Arabidopsis seedlings under constant light. Using large-scale two-dimensional difference in gel electrophoresis (2D-DIGE) the abundance of more than 1000 proteins spots was reproducibly resolved quantified and profiled across a circadian time series. A comparison between phenol-extracted samples and RuBisCO-depleted extracts identified 71 and 40 rhythmically-expressed proteins, respectively, and between 30 and 40% of these derive from non-rhythmic transcripts. These included proteins influencing transcriptional regulation, translation, metabolism, photosynthesis, protein chaperones, and stress-mediated responses. The phasing of maximum expression for the cyclic proteins was similar for both datasets, with a nearly even distribution of peak phases across the time series. STRING clustering analysis identified two interaction networks with a notable number of oscillating proteins: plastid-based and cytosolic chaperones and 10 proteins involved in photosynthesis. The oscillation of the ABA receptor, PYR1/RCAR11, with peak expression near dusk adds to a growing body of evidence that intimately ties ABA signaling to the circadian system. Taken together, this study provides new insights into the importance of post-transcriptional circadian control of plant physiology and metabolism.

Indexed as

2D-DIGEabscisic acid (ABA) signalingchaperonescircadian clockproteomics

Identifiers

PMID27462335
PMCPMC4940426
OpenAlexW2467040186

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.