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Record W2332983285 · doi:10.1158/1538-7445.am10-3817

Abstract 3817: Initial characterization of the prolactin-inducible protein (PIP) null mouse suggests an immunomodulatory role for mPIP

2010· article· en· W2332983285 on OpenAlexaffabout
Behzad Yeganeh, Anne Blanchard, Andreea Nistor, Yvonne Myal

Bibliographic record

VenueCancer Research · 2010
Typearticle
Languageen
FieldMedicine
TopicGrowth Hormone and Insulin-like Growth Factors
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsBiologyGerminal centerImmune systemSubmandibular glandKnockout mouseLymphatic systemMicroarray analysis techniquesImmunologyEndocrinologyInternal medicineReceptorB cellAntibodyGene expressionGeneMedicineGenetics

Abstract

fetched live from OpenAlex

Abstract Mouse prolactin-inducible protein (mPIP) is the homologue of the human PIP which is a known marker of both malignant and benign human breast cancer. PIP is shown to be highly expressed and secreted by submandibular, lacrimal and salivary glands. Secreted PIP in saliva has been shown to bind to bacteria suggesting that PIP may play a role in innate host defence. Furthermore, human PIP was shown to be a ligand of the CD4 molecule of T lymphocytes, acting as a potential inhibitor of T cell apoptosis suggesting a role in immune host defence. To address the role of mPIP in innate and adaptive host defence, we generated a PIP knockout mouse (PIP−/−) by targeted gene disruption. Histological as well as physiological and behavioural analyses were used to study the phenotype of these mice. Microarray was also conducted to assess the global effect of mPIP abrogation on gene expression in submandibular glands. PIP−/− mice develop normally with no obvious phenotypic differences that distinguish them from wild-type siblings. However, some adult mutant mice exhibit increased proliferative activity in lymphoid tissues, evident with enlarged submandibular lymph nodes. Light microscopy of these submandibular lymph nodes revealed activated germinal centres with an increased number of immune cells displaying high mitotic and apoptotic rates. Additional analyses showed enlarged medullary regions in the thymus of some PIP−/− mice populated with mature lymphocytes and lymphocytic aggregations within the prostate lobes. As well, analysis of blood cell profiles revealed significant increased in the number of monocytes (p<0.005, n=6) in PIP−/− mice compared to their corresponding littermates. Microarray analysis of gene expression of the submandibular gland of PIP−/− mice also showed differential expression of multiple genes such as Xiap, Dmtf1, Runx1t1, Ccnb2, Notch4, Zeb2 genes which have been shown to be associated with immune disease, cancer and cell survival. In summary our data suggests a role for mPIP in modulation of adaptive and innate immune response in mice. Furthermore, our microarray analysis has revealed novel potential genes and pathways involved in mPIP signalling. (Supported by: Natural Sciences and Engineering Research Council of Canada) Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 3817.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.003

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.

Opus teacher head0.059
GPT teacher head0.379
Teacher spread0.320 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2010
Admission routes2
Has abstractyes

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