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Tracking of Replicative Senescence in Mesenchymal Stem Cells by Colony-Forming Unit Frequency

2013· article· en· W54156420 on OpenAlexfundno aff
Anne Schellenberg, Hatim Hemeda, Wolfgang Wagner

Bibliographic record

VenueMethods in molecular biology · 2013
Typearticle
Languageen
FieldMedicine
TopicTelomeres, Telomerase, and Senescence
Canadian institutionsnot available
FundersStem Cell Network
KeywordsMesenchymal stem cellSenescenceTracking (education)Cell biologyBiologyUnit (ring theory)Psychology

Abstract

fetched live from OpenAlex

Long-term culture of mesenchymal stem cells (MSC) has major impact on cellular characteristics and differentiation potential. Numerous clinical trials raise high hopes in regenerative medicine and this necessitates reliable quality control of the cellular products-also with regard to replicative senescence. The maximum number of population doublings before entering the senescent state depends on the cell type, tissue of origin, culture medium as well as cell culture methods. Therefore, it would be valuable to predict the remaining proliferative potential in the course of culture expansion. Here, we describe a refined fibroblastic colony forming unit (CFU-f) assay which can be performed at any passage during culture expansion with simple cell culture techniques. This method is based on limiting dilutions in the 96-well format to determine the proportion of highly proliferative and clonogenic cells. The number of CFU-f declines rapidly during culture expansion. Especially at higher passages the CFU-f frequency correlates very well with the remaining cumulative population doublings. This approach can be used as quality measure to estimate the remaining proliferative potential of MSC in culture.

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 score0.182
Threshold uncertainty score0.853

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.036
GPT teacher head0.386
Teacher spread0.349 · 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

Citations22
Published2013
Admission routes1
Has abstractyes

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