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Record W4321002464 · doi:10.1089/ten.tec.2022.0186

Differentiation of Human Induced Pluripotent Stem Cells into Mature and Myelinating Schwann Cells

2023· article· en· W4321002464 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTissue Engineering Part C Methods · 2023
Typearticle
Languageen
FieldNeuroscience
TopicNerve injury and regeneration
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsInduced pluripotent stem cellCell biologyHuman Induced Pluripotent Stem CellsStem cellBiologySchwann cellNeuroscienceEmbryonic stem cellGeneticsGene

Abstract

fetched live from OpenAlex

In the peripheral nervous system, Schwann cells (SCs) play a crucial role in axonal growth, metabolic support of neurons, and the production of myelin sheaths. Expansion of SCs after extraction from human or animal nerves is a long and often low-yielding process. We established a rapid cell culture method using a defined serum-free medium to differentiate human induced pluripotent stem cells (iPSCs) into SCs in only 21 days. The SC identity was characterized by expression of SRY-Box Transcription factor 10 (SOX10), S100b, glial fibrillary acidic protein (GFAP), P75, growth-associated protein 43 (GAP43), and early growth response 2 (EGR2) markers. The SC purity reached 87% as assessed by flow cytometry using the specific SOX10 marker, and 69% based on S100b expression. When SCs were cocultured with iPSC-derived motor neurons two-dimensionally or three-dimensionally (3D), they also expressed the markers of myelin MBP, MPZ, and gliomedin. Likewise, when they were seeded on the opposite side of a porous collagen sponge from motor neurons in the 3D model, they were able to migrate through it and colocalize with motor axons after 8 weeks of maturation. Moreover, they were shown by transmission electron microscopy to form myelin sheaths around motor axons. These results suggest that the use of autologous iPSC-derived SCs for clinical applications such as the repair of peripheral nerve damage, the treatment of spinal cord injuries, or for demyelinating diseases could be a valuable option. Impact Statement Peripheral nerve injuries can cause the complete paralysis of the upper or lower limbs, which considerably reduces the quality of life of patients. To repair this injury, many approaches have been developed by tissue engineering. Combining biomaterials with Schwann cells (SCs) has been shown to be an effective solution for stimulating nerve regeneration. However, the challenge faced concerns the strategy for obtaining autologous SCs to treat patients. A promising approach is to differentiate them from the patient's own cells, previously induced into pluripotent stem cells. We propose a fast culture method to generate functional SCs differentiated from induced pluripotent stem cells.

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.

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 score0.017
Threshold uncertainty score0.599

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.054
GPT teacher head0.346
Teacher spread0.291 · 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