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Record W2043077333 · doi:10.4161/adip.24589

Bovine dedifferentiated adipose tissue (DFAT) cells

2013· article· en· W2043077333 on OpenAlexaff
Shengjuan Wei, ‬Min Du, Zhihua Jiang, Márcio de Souza Duarte, Melinda Fernyhough-Culver, Elke Albrecht, Katja Will, Linsen Zan, Gary J. Hausman, Elham M Youssef Elabd, Werner G. Bergen, Urmila Basu, Michael V. Dodson

Bibliographic record

VenueAdipocyte · 2013
Typearticle
Languageen
FieldMedicine
TopicAdipose Tissue and Metabolism
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAdipose tissueCell biologyAdipogenesisPopulationCellLaboratory flaskCell cultureBiologyMesenchymal stem cellCell therapyLipid dropletCellular differentiationStem cellChemistryBiochemistryGenetics

Abstract

fetched live from OpenAlex

Dedifferentiated fat cells (DFAT cells) are derived from lipid-containing (mature) adipocytes, which possess the ability to symmetrically or asymmetrically proliferate, replicate, and redifferentiate/transdifferentiate. Robust cell isolation and downstream culture methods are needed to isolate large numbers of DFAT cells from any (one) adipose depot in order to establish population dynamics and regulation of the cells within and across laboratories. In order to establish more consistent/repeatable methodology here we report on two different methods to establish viable DFAT cell cultures: both traditional cell culture flasks and non-traditional (flat) cell culture plates were used for ceiling culture establishment. Adipocytes (maternal cells of the DFAT cells) were easier to remove from flat culture plates than flasks and the flat plates also allowed cloning rings to be utilized for cell/cell population isolation. While additional aspects of usage of flat-bottomed cell culture plates may yet need to be optimized by definition of optimum bio-coating to enhance cell attachment, utilization of flat plate approaches will allow more efficient study of the dedifferentiation process or the DFAT progeny cells. To extend our preliminary observations, dedifferentiation of Wagyu intramuscular fat (IMF)-derived mature adipocytes and redifferentiation ability of DFAT cells utilizing the aforementioned isolation protocols were examined in traditional basal media/differentiation induction media (DMI) containing adipogenic inducement reagents. In the absence of treatment approximately 10% isolated Wagyu IMF-mature adipocytes dedifferentiated spontaneously and 70% DFAT cells displayed protracted adipogenesis 12 d after confluence in vitro. Lipid-free intracellular vesicles in the cytoplasm (vesicles possessing an intact membrane but with no any observable or stainable lipid inside) were observed during redifferentiation. One to 30% DFAT cells redifferentiated into lipid-assimilating adipocytes in the DMI media, with distinct lipid-droplets in the cytoplasm and with no observable lipid-free vesicles inside. Moreover, a high confluence level promoted the redifferentiation efficiency of DFAT cells. Wagyu IMF dedifferentiated DFAT cells exhibited unique adipogenesis modes in vitro, revealing a useful cell model for studying adipogenesis and lipid metabolism.

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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.004

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 head0.014
GPT teacher head0.256
Teacher spread0.243 · 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

Citations27
Published2013
Admission routes1
Has abstractyes

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