Abstract 2488: Analysis of the salivary proteome of the prolactin-inducible-protein knockout mouse
Bibliographic record
Abstract
Abstract The human Prolactin-Inducible-Protein (PIP)/Gross Cystic Disease Fluid Protein 15 (GCDFP-15) gene is abnormally expressed in human invasive breast cancer and gross cystic disease of the breast. In healthy individuals PIP is highly expressed in salivary, sweat and lacrimal glands, and the secreted protein abundantly found in saliva as well as other bodily fluids which bathe various ports of entry. PIP has been shown to bind numerous bacterial strains as well as a number of immunoregulatory molecules including the CD4-T cell receptor and IgG and is therefore implicated to play an immune role in host defense. In the present study we interrogated the salivary proteome of the PIP knockout (Pip KO) mouse by mass spectrometry to determine protein changes that occur in saliva in the absence of PIP. Proteomic analysis identified 165 proteins in the mouse saliva which had a minimum of 2 unique peptides at the 99% confidence level. Nineteen proteins, including 2 proposed markers of disease, S100A9 and adenosine deaminase, were significantly differentially expressed in the saliva of the Pip KO mouse, compared to the saliva of the wild type counterparts. Functional and biological determinations revealed that the differentially expressed proteins were associated with processes that include inflammatory responses, immunity and cell death. This study provides evidence that a number of proteins associated with host defense are affected by the loss of PIP, and lends support for an immunomodulatory role for PIP. Citation Format: Anne Blanchard, Peyman Ezzati, Xiuli Ma, John Wilkins, Yvonne Myal. Analysis of the salivary proteome of the prolactin-inducible-protein knockout mouse. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 2488. doi:10.1158/1538-7445.AM2014-2488
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".