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Updated: Jun 27, 2025

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Microengineering 3D Collagen Hydrogels with Long-Range Fiber Alignment
Published on: September 7, 2022
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Microengineering 3D Collagen Matrices with Tumor-Mimetic Gradients in Fiber Alignment.
Indranil M Joshi1, Mehran Mansouri1, Adeel Ahmed1
1Department of Biomedical Engineering, Rochester Institute of Technology, Rochester, NY.
Summary
Scientists created tunable collagen fiber alignment gradients to study cell migration in the tumor microenvironment (TME). Cells showed enhanced directional movement and speed on these gradients, revealing new insights into biophysical cues.
Area of Science:
- Biomaterials Science
- Cell Biology
- Biophysics
Background:
- Collagen fiber alignment in the tumor microenvironment (TME) directs cell migration via contact guidance.
- Previous studies focused on uniform fiber alignments, neglecting physiological alignment gradients found in the TME.
- Cellular responses to these natural alignment gradients remain largely unexplored.
Purpose of the Study:
- To characterize and recreate physiological collagen fiber alignment gradients.
- To investigate cell migration responses to engineered continuous alignment gradients in biomaterials.
- To explore the role of alignment gradients as a biophysical taxis cue.
Main Methods:
- Characterization of fiber alignment gradients in biopsy samples.
- Development of a microfluidic biofabrication technique for tunable alignment gradients.
- In vitro migration assays using human umbilical vein endothelial cells (HUVECs) and MDA-MB-231 cancer cell aggregates.
Main Results:
- Successful engineering of continuous collagen alignment gradients in soft biomaterials.
- HUVECs demonstrated increased migration directionality, persistence, and speed on graded alignments compared to uniform or unaligned fibers.
- MDA-MB-231 aggregates exhibited biased migration towards regions of increasing fiber alignment.
Conclusions:
- Engineered alignment gradients mimic physiological conditions and serve as a taxis cue for cell migration.
- This approach provides new insights into how cells interpret biophysical cues within the extracellular matrix.
- The user-friendly technique has broad applicability for studying cell behavior in various tissue environments.

