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Record W2168665601 · doi:10.1002/anie.201101042

Pan‐Src Family Kinase Inhibitors Replace Sox2 during the Direct Reprogramming of Somatic Cells

2011· article· en· W2168665601 on OpenAlexfundno aff
Judith Staerk, Costas A. Lyssiotis, Lea A. Medeiro, Michael J. Bollong, Ruth K. Foreman, Shoutian Zhu, Michael Garcia, Qing Gao, Laure C. Bouchez, Luke L. Lairson, Bradley D. Charette, Ľubica Supeková, Jeffrey Janes, Achim Brinker, Charles Y. Cho, Rudolf Jaenisch, Peter G. Schultz

Bibliographic record

VenueAngewandte Chemie International Edition · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPluripotent Stem Cells Research
Canadian institutionsnot available
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Cancer InstituteCanadian Institutes of Health ResearchNational Institute of General Medical SciencesU.S. Public Health Service
KeywordsReprogrammingSOX2KLF4Somatic cellKinaseCell biologyEctopic expressionBiologyCellCell cultureGeneticsEmbryonic stem cellGene

Abstract

fetched live from OpenAlex

Small molecules do the job: Somatic cells are reprogrammed into iPS cells upon ectopic expression of Oct4, Sox2, Klf4 and c-Myc. Application of a cell-based, high-throughput chemical screen led to the identification of Src family kinase (SFK) inhibitors as chemical replacements for retroviral Sox2 delivery. These compounds are used to study the mechanisms underlying direct reprogramming and may ultimately help to bring iPS cell technology one step closer to clinical application.

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)0.000
metaresearch head score (Gemma)0.000
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.001

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 head0.017
GPT teacher head0.248
Teacher spread0.231 · 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
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

Citations54
Published2011
Admission routes1
Has abstractyes

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