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Record W7058388088

Novel genes expressed in the pancreatic islets and regulated by IGF-I

2015· dissertation· en· W7058388088 on OpenAlexafffund

Bibliographic record

VenueeScholarship@McGill (McGill) · 2015
Typedissertation
Languageen
FieldEngineering
TopicMagnetic Field Sensors Techniques
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of ChinaMcGill University
KeywordsIsletPancreatic isletsPancreasGeneMicroarray analysis techniquesEmbryonic stem cellCell growthGene expression
DOInot available

Abstract

fetched live from OpenAlex

Insulin-like growth factor (IGF)-I is mainly produced by hepatocytes and other tissues including pancreas at lower level.Acting through its receptor, IGF-IR, it promotes embryonic development, postnatal growth and maturation of major organ systems.To evaluate the effects of increased IGF-I level on islet growth and glucose homeostasis, our lab previously characterized MT-IGF mice which over express IGF-I gene under the metallothionine I promoter and found that its expression was highly concentrated to -cells.IGF-I overexpression led to a significant hypoglycemia in fasted animals, hypoinsulinemia and improved glucose tolerance.Moreover, MT-IGF-I mice were significantly resistance to streptozotocin-induced diabetes, with diminished hyperglycemia and abolished weight loss and reduce mortality.Although IGF-I is known to stimulate protein synthesis, cell survival and proliferation, the specific target within the islets have not been screened in a systematic manner.In order to explore novel targets of IGF-I action, we performed a whole genome DNA microarray analysis on isolated islets from overexpressing IGF-I mice, and found 82 genes specifically up-or down-regulated.Prominent targets among those are HSD11B1 encoding 11 -hydroxysteroid dehydrogenase-1 (11 -HSD1) and CCN5/Wisp-2, previously not shown to be expressed in the pancreatic islets and regulated by IGF-I.In this study, we further checked 1) the localization of these targets in pancreatic islets both at the mRNA and protein level; 2) the effect of CCN5/Wisp2 in pancreatic islet proliferation and survival; 3) the effect of 11 -HSD1 under IGF-I regulation and assessed its functional relevance to type 2 diabetes.xxi Claim of OriginalityThis doctoral thesis provides important information regarding the role of novel IGF-I targets in pancreatic islets.These targets can be important for islet proliferation and survival 1) To identify the novel target of IGF-I we performed whole genome DNA microarray analysis on RNA extracted from IGF-I over expressing mice and found 82 genes which can be potential candidate for β-cell proliferation and survival.None of these targets were shown to be regulated by IGF-I before in pancreatic islet cells.2) We identified CCN5 for the first time in islet β-cells in higher level compare to WT mice.CCN5 expression in increased level contributes to islet cell growth and/or survival.3) We also found the decreased expression of 11β-HSD1 in α-cell due to overexpression of IGF-1 in pancreatic islet.Decreased expression of 11β-HSD1 may cause increased basal insulin secretion in MT-IGF mice.This may also contribute to islet survival.xxii

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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.013
GPT teacher head0.223
Teacher spread0.210 · 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
Published2015
Admission routes2
Has abstractyes

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