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Record W4409189262 · doi:10.1016/j.ymeth.2025.03.019

Optimized toolkit for the manipulation of immortalized axolotl fibroblasts

2025· article· en· W4409189262 on OpenAlexaff
Benjamin Tajer, Glory Kalu, S. Loeffler Jay, Eric Wynn, Antoine Decaux, Paul Gilbert, Hani D. Singer, M. Kidd, Noora Harake, Noah J. Lopez, Nathan R. Souchet, Anna G. Luong, Aaron M. Savage, Sangwon Min, Alparslan Karabacak, Sebastian Böhm, Ryan T. Kim, Tim Froitzheim, Konstantinos Sousounis, Katherine Courtemanche, Jihee Han, Duygu Payzin‐Dogru, Steven J. Blair, Stéphane Roy, Ji‐Feng Fei, Elly M. Tanaka, Jessica L. Whited

Bibliographic record

VenueMethods · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Interference and Gene Delivery
Canadian institutionsUniversité de Montréal
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Eye InstituteNational Institute of General Medical SciencesHarvard Stem Cell InstituteStudienstiftung des Deutschen VolkesNational Natural Science Foundation of ChinaFaculty of Arts and SciencesHuman Frontier Science ProgramNational Institutes of HealthNational Science Foundation
KeywordsAxolotlImmortalised cell lineComputational biologyCell biologyBiologyChemistryComputer scienceCell cultureGeneticsRegeneration (biology)

Abstract

fetched live from OpenAlex

The axolotl salamander model has broad utility for regeneration studies, but this model is limited by a lack of efficient cell-culture-based tools. The Axolotl Limb-1 (AL-1) fibroblast line, the only available immortalized axolotl cell line, was first published over 20 years ago, but many established molecular biology techniques, such as lipofectamine transfection, CRISPR-Cas9 mutagenesis, and antibiotic selection, work poorly or remain untested in AL-1 cells. Innovating technologies to manipulate AL-1 cells in culture and study their behavior following transplantation into the axolotl will complement in-vivo studies, decrease the number of animals used, and enable the faster, more streamlined investigation of regenerative biology questions. Here, we establish transfection, mutagenesis, antibiotic selection, and in-vivo transplantation techniques in axolotl AL-1 cells. These techniques will enable efficient culture with AL-1 cells and guide future tool development for the culture and manipulation of other salamander cell lines.

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)0.000
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: Methods · Consensus signal: none
Teacher disagreement score0.414
Threshold uncertainty score0.213

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.030
GPT teacher head0.395
Teacher spread0.365 · 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
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

Citations0
Published2025
Admission routes1
Has abstractyes

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