ENCAPSULATION OF FACTOR IX-ENGINEERED MESENCHYMAL STEM CELLS IN ALGINATE-BASED MICROCAPSULES FOR ENHANCED VIABILITY AND FUNCTIONALITY
Bibliographic record
Abstract
The work presented in this thesis was focused on design and construction of novel cell-loaded microcapsules by incorporation of bioactive molecules (proteins or peptides) for potential application in hemophilia B treatment. The objective of this study was to improve the viability and functionality of the encapsulated cells by creating biomimetic microenvironments for cells that more closely mimic their physiological extracellular matrix (ECM) environment. Three cell-adhesive molecules were used in this work: fibrinogen and fibronectin, two abundant proteins present in ECM, and arginine-glycine-aspartic acid (RGD) tri-peptide, the minimal essential cell adhesion peptide sequence and the most widely studied peptide for cell adhesion. Alginate, the most commonly used biomaterial used for cell encapsulation, was combined with either of these molecules to create biomimetic microcapsules. Non-modified alginate (control) and modified alginate matrices were used to encapsulate the factor IX (FIX) secreting cells for protein delivery. In this work, FIX-engineered cord blood-derived human mesenchymal stem cells CB MSCs were used as a cell source for FIX delivery. Our data suggested that fibrinogen-alginate, fibronectin-alginate and RGD-alginate microcapsules improved the viability of encapsulated MSC and are applicable in cell therapy technologies. However, fibrinogen-alginate and fibronectin-alginate microcapsules more significantly enhanced the proliferation and protein secretion from the encapsulated cells and may have potential for FIX delivery for hemophilia B and other inherited or acquired protein deficiencies. RGD-alginate microcapsules can v potentially be used for other tissue engineering applications with the aim of enhanced viability and attachment of the enclosed cells. Differentiation studies showed the osteogenic (but not chondrogenic or adipogenic) differentiation capability of FIX-engineered CB MSCs and their efficient FIX secretion while encapsulated in fibrinogen-alginate and fibronectin-alginate microcapsules.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".