ArticlePlant cell reports2015
Correlation analysis of proteins responsive to Zn, Mn, or Fe deficiency in Arabidopsis roots based on iTRAQ analysis.
Article in Plant cell reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed, 26 citations in OpenAlex.
- Transcriptome Analysis Revealed the Molecular Response Mechanism of Non-heading Chinese Cabbage to Iron Deficiency Stress.Frontiers in plant science · 2022Article
- Article
- The Understanding of the Plant Iron Deficiency Responses in Strategy I Plants and the Role of Ethylene in This Process by Omic Approaches.Frontiers in plant science · 2017Review
- The transcriptomics of an experimentally evolved plant-virus interaction.Scientific reports · 2016Article
- Discordance between protein and transcript levels detected by selected reaction monitoring.Plant signaling & behavior · 2015Article
- Deciphering Mineral Homeostasis in Barley Seed Transfer Cells at Transcriptional Level.PloS one · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
key messageFor discovering the functional correlation between the identified and quantified proteins by iTRAQ analysis, here we propose a correlation analysis method with cosine correlation coefficients as a powerful tool. iTRAQ analysis is a quantitative proteomics approach that enables identification and quantification of a large number of proteins. In order to obtain proteins responsive to Zn, Mn, or Fe mineral deficiency, we conducted iTRAQ analysis using a microsomal fraction of protein extractions from Arabidopsis root tissues. We identified and quantified 730 common proteins in three biological replicates with less than 1 % false discovery rate. To determine the role of these proteins in tolerating mineral deficiencies and their relation to each other, we calculated cosine correlation coefficients and represented the outcomes on a correlation map for visual understanding of functional relations among the identified proteins. Functionally similar proteins were gathered into the same clusters. Interestingly, a cluster of proteins (FRO2, IRT1, AHA2, PDR9/ABCG37, and GLP5) highly responsive to Fe deficiency was identified, which included both known and unknown novel proteins involved in tolerating Fe deficiency. We propose that the correlation analysis with the cosine correlation coefficients is a powerful method for finding important proteins of interest to several biological processes through comprehensive data sets.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.