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Record W2887981276 · doi:10.1089/ten.teb.2018.0181

Emerging Development of Microfluidics-Based Approaches to Improve Studies of Muscle Cell Migration

2018· review· en· W2887981276 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 B Reviews · 2018
Typereview
Languageen
FieldEngineering
Topic3D Printing in Biomedical Research
Canadian institutionsUniversity of Manitoba
FundersNational Institutes of Health
KeywordsMicrofluidicsNanotechnologyComputer scienceData scienceMaterials science

Abstract

fetched live from OpenAlex

Cell migration is an essential process in which cells move from one location to another with different modes, including mesenchymal, amoeboid, or collective movements. Migration occurs during development and in the maintenance of multicellular organisms for purposes of wound healing, tissue regeneration, and immune and pathophysiological responses. Cells in all three types of muscle: cardiac, smooth, and skeletal, are subject to and undergo migration, both general and adapted for tissue-specific needs. Cardiac cell migration is mediated by vascular endothelial growth factor (VEGF) through expression of VEGF receptors; it is not clear how cardiac cells migrate into a region of damage after infarction. In skeletal muscle, satellite cells, with dual roles as muscle precursors and self-renewing multipotent adult stem or stromal cells, are resident on muscle fibers and normally mitotically inactive. Their activation and subsequent migration critically mediate skeletal muscle repair. Nitric oxide and hepatocyte growth factor are important signaling factors and the only two chemical factors that activate satellite cells. Both induce satellite cell motility on fibers in culture and into a region of muscle damage in vivo. By comparison, vascular smooth muscle cells migrate in response to vascular injury, during the normal process of angiogenesis, and in the pathological process of atherogenesis and vascular thickening. Microfluidic devices are advantageous in their capability to control cellular microenvironments and thus offer a valuable approach for the quantitative study of cell migration in vitro: devices can be designed to incorporate conditions that mimic what is known of normal physiology and control of microenvironmental changes can model particular situations. In this direction, there is increasing interest in developing innovative microfluidic devices to enable investigation of the migration behavior of different muscle cells. The mechanisms of muscle cell migration and their physiological roles are discussed in context of the emerging development of microfluidics-based approaches to advance studies of muscle cell migration and highlight their potential applications. The essential interactions between and among cells in the three types of muscle tissue in development, wound healing, and regeneration of tissues, are underpinned by the ability of cardiac, smooth, and skeletal muscle cells to migrate in maintaining functional capacity after pathologies such as myocardial infarction, tissue grafting, and traumatic and postsurgical injury. Microfluidics-based devices now offer significant enhancement over conventional approaches to studying cell chemotaxis and haptotaxis that are inherent in migration. Advances in experimental approaches to muscle cell movement and tissue formation will contribute to innovations in tissue engineering for patching wound repair and muscle tissue replacement.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.948
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.218
GPT teacher head0.363
Teacher spread0.145 · 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