ArticlePloS one2025
Measuring alignment of structural proteins in engineered tissue constructs using polarized Raman spectroscopy.
Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Measures of structural protein alignment within biological and engineered tissues are needed for improved understanding of their mechanical behavior and functionality. We advance our method of measuring protein alignment using polarized Raman spectroscopy (PRS). It provides a promising alternative to conventional microscopy-based methods as it is non-destructive and allows analysis of extracellular components without additional protein labeling. Previously, we used a machine learning-based alignment metric to compare the extent of alignment between various soft tissues. This study demonstrates that PRS can be successfully used to provide a sensitive measure of alignment in engineered tissues despite the challenges of water-dominated spectra, which have limited prior efforts. A framework for capturing spatial variation of the amplitude and angle of bulk protein alignment was developed. Engineered tissue constructs were generated using collagen type-I solutions seeded with mouse myoblast (C2C12) cells. Tissue alignment was introduced as samples contracted over 12 days of culture. PRS measures of alignment within three selected regions captured a 32% change in extent of alignment and a 30° change in angle between center and corner regions. A computational model was used to bridge between discrete fiber measures of alignment determined with standard immunofluorescence microscopy and our PRS technique. The model applied contraction strains within a hyperelastic continuum to model cell contraction, and model-derived alignment measures showed good agreement between microscopy and PRS measures. Overall, our study provides additional analysis tools for quantifying alignment with PRS and showed the high potential of this PRS technique to non-invasively measure spatial variation within engineered tissues. Such measurement tools are needed to engineer regional alignments aimed at capturing specific mechanical and functional capabilities.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.