Project Details
Description
Brain injuries and neurodegeneration usually cause irreversible loss of neural tissue thatdisrupts critical function of the central nervous system (CNS). As an emerging strategy torepair injured/degenerated brains, activation of endogenous neurogenesis by using engineeredconstructs are increasingly recognized as an appealing alternative. This method typicallyemploys artificial constructs with recreated cellular microenvironment to mimic thebiochemical composition of embryonic development stages. Chemotactic molecules are agroup of factors with such potential to be developed to regulate different aspects ofendogenous neurogenesis for regenerating injured brains. However, even though manydifferent neural chemotactic molecules have been discovered so far; there has been limitedsuccess in engineering these factors for regenerating brain tissues, mostly due to considerablevariety of chemotactic moclecules, and the existence of a wide range of responsive modes fordifferent molecules. Even for the same molecules, different concentrations or differentgradient steepness could lead to distinct response in neuronal cells. These variations posetremendous technical obstacles for dissecting neuronal chemotaxis to acquire sufficientquantitative information to precisely guide the engineering procedures, and thus require noveltools that can perform chemotactic assays in a high-throughput format. In this proposedproject, we aim to develop a “brain on a chip” platform that is capable of generating hundredsof concentration profiles with various gradient steepness for a specific molecule, so thatneuronal chemotactic response to the molecule can be systematically studied to in ex vivo 3Dmodels to answer the following questions: 1) what is the concentration sensitivity of aspecific chemotactic molecule; 2) how the gradient steepness affects neuronal responses; 3)how to differentiate neuronal migration or axonal projection by optimize the concentrationprofiles. Furthermore, by using the results from high-throughput chemotactic assays asinstructive inputs, we will then implement a regenerative strategy for repairing brain injuriesin an animal model. This method will be based on an engineered constructs with optimaldistribution of proper chemotactic molecules, which will be implanted to connect the injurysite and adult neurogenic regions. It is expected that successful completion of this project willnot only provide a high-throughput platform for quantitatively dissecting neuronalchemotaxis, but can also resolve valuable insights into effective mechanisms about specificmolecules, which are potentially beneficial for the treatment of brain trauma andneurodegenerative diseases.
| Project number | 9042381 |
|---|---|
| Grant type | GRF |
| Status | Finished |
| Effective start/end date | 1/09/16 → 31/08/20 |
Keywords
- Biomedical devices and sensors , High-throughput neurotech , Physical cues on cells , biomaterial functionalization , Microfluidic biosensing
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Research output
- 15 RGC 21 - Publication in refereed journal
-
3D Upconversion Barcodes for Combinatory Wireless Neuromodulation in Behaving Animals
Lin, X., Sun, T., Tang, M., Yang, A., Yan-Do, R., Chen, D., Gao, Y., Duan, X., Kai, J.-J., Wang, F. & Shi, P., 6 Jul 2022, In: Advanced Healthcare Materials. 11, 13, 2200304.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
9 Link opens in a new tab Citations (Scopus) -
Sequencing-free Analysis of Multiple Methylations on Gene-Specific mRNAs
Zhao, X., Ji, X., Qu, J., Xie, K., Wang, Z., Fang, P., Wang, Y., Wan, Y., Yang, Y., Zhang, W. & Shi, P., 6 Apr 2022, In: Journal of the American Chemical Society. 144, 13, p. 6010–6018Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
15 Link opens in a new tab Citations (Scopus) -
Profiling MicroRNAs with Associated Spatial Dynamics in Acute Tissue Slices
Xie, K., Wang, Z., Qi, L., Zhao, X., Wang, Y., Qu, J., Xu, P., Huang, L., Zhang, W., Yang, Y., Wang, X. & Shi, P., 23 Mar 2021, In: ACS Nano. 15, 3, p. 4881–4892Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
15 Link opens in a new tab Citations (Scopus)