Comparative proteomic analysis of NaCl stress-responsive proteins in Arabidopsis roots
Bibliographic record
Abstract
NaCl stress is a major abiotic stress limiting the productivity and the geographical distribution of many plant species. Roots are the primary site of salinity perception. To understand better NaCl stress responses in Arabidopsis roots, a comparative proteomic analysis of roots that had been exposed to 150 mM NaCl for either 6 h or 48 h was conducted. Changes in the abundance of protein species within roots were examined using two-dimensional electrophoresis. Among the >1000 protein spots reproducibly detected on each gel, the abundance of 112 protein spots decreased and 103 increased, at one or both time points, in response to NaCl treatment. Through liquid-chromatography-tandem mass spectrometry, identity was assigned to 86 of the differentially abundant spots. The proteins identified included many previously characterized stress-responsive proteins and others related to processes including scavenging for reactive oxygen species; signal transduction; translation, cell wall biosynthesis, protein translation, processing and degradation; and metabolism of energy, amino acids, and hormones. At the resolution of individual genes and proteins, poor statistical correlation (6 h, r= -0.13; 48 h, r=0.11) of these protein expression data with previous microarray results was detected, supporting the concept that post-transcriptional regulation plays an important role in stress-responsive gene expression, and highlighting the need for combined transcriptomic and proteomic analyses.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".