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Record W2471154678 · doi:10.1385/1-59745-167-3:211

Analysis of the Glycodynamics of Primary Osteoblasts and Bone Cancer Cells

2006· review· en· W2471154678 on OpenAlexafffund
Inka Brockhausen, Xiaojing Yang, Mark Harrison

Bibliographic record

VenueHumana Press eBooks · 2006
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGlycosylation and Glycoproteins Research
Canadian institutionsQueen's University
FundersArthritis Society
KeywordsCancer cellCell biologyTerminal deoxynucleotidyl transferaseCell growthExtracellular matrixApoptosisTUNEL assayChemistryAnnexinCancer researchBiologyMedicineCancerBiochemistryInternal medicine

Abstract

fetched live from OpenAlex

Bone cells produce a variety of glycoproteins that contribute to bone health, and function in cell adhesion, stabilizing the extracellular matrix, promoting growth and differentiation, and the induction of apoptosis. Some of these processes appear to be disturbed in arthritis. In this chapter, in vitro studies aimed at an understanding of the biological effects of inflammatory stimuli in the bone of arthritis patients are described. The glycodynamics of cells can be studied using primary cultures of osteoblasts or bone cancer cell cultures, to examine the relationship between the biosynthesis of cell-surface glycoproteins and inflammatory stimuli affecting cell growth and cell death. Cell-surface carbohydrates are assessed by lectin staining of cells, and the potential of cells to synthesize glycoproteins is determined by glycosyltransferase assays. These parameters are then related to [3H]thymidine incorporation as a measure of cell proliferation, and to flow cytometry of terminal deoxynucleotidyl transferase dUTP-mediated nick end labeling (TUNEL) and annexin V-stained cells as a measure of apoptosis. These in vitro studies are aimed at an understanding of the role of glycosylation in the bone of arthritis patients, but they can also be applied to other diseases.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.991
Threshold uncertainty score0.640

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.047
GPT teacher head0.325
Teacher spread0.278 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations4
Published2006
Admission routes2
Has abstractyes

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