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Flow cytometric measurement of telomere length

2000· review· en· W2074227858 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCytometry · 2000
Typereview
Languageen
FieldMedicine
TopicTelomeres, Telomerase, and Senescence
Canadian institutionsOttawa HospitalUniversity of Ottawa
FundersOntario HIV Treatment Network
KeywordsTelomereCentromereMetaphaseSouthern blotBiologyFlow cytometryChromosomeBlotFluorescence in situ hybridizationSenescenceMolecular biologyCell biologyGeneticsDNAGene

Abstract

fetched live from OpenAlex

The regulation of telomere length may be involved in the cellular physiology of senescence, reproduction, cancer, immune response to infection, and possibly immune deficiency. The measurement of telomere length, critical to research in this area, has traditionally been performed by Southern blot analysis, which is cumbersome and time consuming. Several alternative methods have been described in recent years. Some, such as pulsed-field electrophoresis, slot blots, and centromere-to-telomere ratio measurements are essentially improvements to the Southern blot technique. However, other methods such as fluorescent in situ hybridization on metaphase chromosome spreads and flow cytometry-based fluorescent in situ hybridization represent a completely new technical approach to the problem. In this review, we compare methods, with particular emphasis placed on flow cytometric techniques for measuring telomere length in situ and identifying potential areas where improvements may still be made.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.973
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0050.009
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.098
GPT teacher head0.350
Teacher spread0.252 · 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