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Human Long-Term Culture Initiating Cell Assay

2012· article· en· W86828126 on OpenAlexaff
Min Liu, Cindy Miller, Connie J. Eaves

Bibliographic record

VenueMethods in molecular biology · 2012
Typearticle
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsStemcell TechnologiesBC Cancer AgencyTerry Fox Research Institute
Fundersnot available
KeywordsHaematopoiesisCord bloodBone marrowProgenitor cellCell cultureStem cellStromal cellBlood cellBiologyLimitingHematopoietic stem cellPeripheral bloodCellAndrologyImmunologyCell biologyMedicineCancer researchBiochemistryGenetics

Abstract

fetched live from OpenAlex

The long-term culture initiating cell (LTC-IC) assay, founded on the bone marrow long-term culture (LTC) system, measures primitive hematopoietic stem cells (termed LTC-IC) based on their capacity to produce myeloid progeny for at least 5 weeks. Adaptations of the LTC system including the use of stromal cell lines, application of limiting dilution analysis, and estimation of average hematopoietic progenitor output per LTC-IC under defined conditions have made it possible to accurately determine LTC-IC content in minimally separated and highly purified cell populations from human hematopoietic tissue sources such as bone marrow, peripheral blood, cord blood, fetal liver as well as cord blood and mobilized peripheral blood. Methodologies for measuring human LTC-IC using bulk cultures, limiting dilution analysis, and single cell cultures are described.

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)0.002
metaresearch head score (Gemma)0.001
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: Methods · Consensus signal: Methods
Teacher disagreement score0.018
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0180.011

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 head0.045
GPT teacher head0.435
Teacher spread0.390 · 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
GenreMethods

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

Citations36
Published2012
Admission routes1
Has abstractyes

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