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Isolation and Characterization of Cancer Stem Cells In Vitro

2012· article· en· W75432311 on OpenAlexaff
Craig Gedye, Laurie Ailles

Bibliographic record

VenueMethods in molecular biology · 2012
Typearticle
Languageen
FieldMedicine
TopicCancer Cells and Metastasis
Canadian institutionsUniversity of TorontoOntario Institute for Cancer Research
Fundersnot available
KeywordsCancer stem cellCancerCancer cellBiologyIn vitroMetastasisComputational biologyCancer cell linesStem cellIn vivoCell cultureCancer researchNeuroscienceCell biologyBiotechnologyGenetics

Abstract

fetched live from OpenAlex

The cancer stem cell hypothesis is an appealing concept to account for intratumoral heterogeneity and the observation that systemic metastasis and treatment failure are often associated with the survival of a small number of cancer cells. Whilst in vivo evidence forms the foundation of this concept, in vitro methods and reagents are attractive as they offer opportunities to perform experiments that are not possible in an animal model. While there is abundant evidence that existing cancer cell lines are not reliable models of tumor heterogeneity, recent advances based on well validated novel cancer cell lines established de novo in defined serum-free media are encouraging, particularly in the study of glioblastoma multiforme. In this chapter we wish to broadly outline the process of establishing, characterizing, and managing novel cancer cell lines in defined serum-free media, and discuss the limitations and potential opportunities that may arise from these model systems.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.139
Threshold uncertainty score0.224

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.029
GPT teacher head0.391
Teacher spread0.362 · 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 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

Citations15
Published2012
Admission routes1
Has abstractyes

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