Design and Characterization of Tissue-Specific Extracellular Matrix-Derived Microcarriers
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.
Bibliographic record
Abstract
The three-dimensional (3D) extracellular matrix (ECM) environment plays a critical role in mediating normal cellular behavior and tissue organization. While commercially available microcarriers have shown promise, limited research has been conducted on the design of tissue-specific, custom-fabricated microcarriers, engineered to mimic the composition of the native ECM of cells or tissues of interest. Moving toward this goal, methods were developed to fabricate microcarriers from decellularized adipose tissue (DAT) via minimally-cytotoxic protocols. Characterization by microscopy confirmed the production of stable spherical microcarriers, with a microporous surface topography and porous interior. The mean diameter of the DAT microcarriers was 934±51 μm, while the porosity was estimated as 29%±4% using liquid displacement. Stability and swelling behavior over 4 weeks indicated that the DAT microcarriers were effectively stabilized with the photochemical crosslinking agent rose bengal, with total protein release in a simulated physiological environment remaining below 10 μg/mL at all time points. Preliminary cell culture studies with human adipose-derived stem cells (ASCs) in a spinner flask system indicated enhanced cell attachment and proliferation of ASCs on DAT microcarriers over 14 days, as compared with gelatin control microcarriers fabricated using similar methods. Testing confirmed injectability of the DAT microcarriers, further supporting the clinical potential of the approach for localized cell delivery and small volume augmentation in plastic and reconstructive surgery. Overall, tissue-specific microcarriers prepared from solubilized DAT were found to be highly supportive of human ASCs cultured in a 3D dynamic environment.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 it