Unveiling the molecular blueprint of SKP-SCs-mediated tissue engineering-enhanced neuroregeneration

Abstract Peripheral nerve injury poses a significant challenge to the nervous system’s regenerative capacity. We previously described a novel approach to construct a chitosan/silk fibroin nerve graft with skin-derived precursor-induced Schwann cells (SKP-SCs). This graft has been shown to promote sc...

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Main Authors: Hui Zhu, Ying Wang, Siyuan Xu, Yunjian Song, Yifan Li, Yiting Wang, Qiuwen Sun, Muyuan Tong, Tianyi Huang, Yulin Pan, Hongkui Wang, Xi Xu, Chengbin Xue
Format: Article
Language:English
Published: BMC 2024-12-01
Series:Journal of Nanobiotechnology
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Online Access:https://doi.org/10.1186/s12951-024-03076-1
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author Hui Zhu
Ying Wang
Siyuan Xu
Yunjian Song
Yifan Li
Yiting Wang
Qiuwen Sun
Muyuan Tong
Tianyi Huang
Yulin Pan
Hongkui Wang
Xi Xu
Chengbin Xue
author_facet Hui Zhu
Ying Wang
Siyuan Xu
Yunjian Song
Yifan Li
Yiting Wang
Qiuwen Sun
Muyuan Tong
Tianyi Huang
Yulin Pan
Hongkui Wang
Xi Xu
Chengbin Xue
author_sort Hui Zhu
collection DOAJ
description Abstract Peripheral nerve injury poses a significant challenge to the nervous system’s regenerative capacity. We previously described a novel approach to construct a chitosan/silk fibroin nerve graft with skin-derived precursor-induced Schwann cells (SKP-SCs). This graft has been shown to promote sciatic nerve regeneration and functional restoration to a level comparable to that achieved by autologous nerve grafts, as evidenced by behavioral, histological, and electrophysiological assessments. However, the underlying molecular mechanisms based on SKP-SCs mediated tissue engineering-aid regeneration remain elusive. In the present work, we systematically identified gene modules associated with the differentiation of SKPs into SCs by employing weighted gene co-expression network analysis (WGCNA). By integrating transcriptomic data from the regenerated nerve segment, we constructed a network that delineated the molecular signatures of TENG aid neuroregeneration. Subsequent quantitative PCR (qPCR) validation was performed to substantiate the WGCNA findings. Our WGCNA approach revealed a robust molecular landscape, highlighting hub genes pivotal for tissue engineering-aid regeneration. Notably, the upregulation of specific genes was observed to coincide with the acquisition of SC characteristics. The qPCR validation confirmed the expression patterns of these genes, underscoring their role in promoting neuroregeneration. The current study harnesses the power of WGCNA to elucidate the molecular blueprint governing tissue engineering-aid regeneration. The identified gene modules and validated targets offer novel insights into the cellular and molecular underpinnings of tissue engineering-augmented neuroregeneration. These findings pave the way for developing targeted therapeutics and advanced tissue engineering grafts to enhance peripheral nerve repair.
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spelling doaj-art-cb6bb83ad0714873a7acfbcd3c7cd0462025-08-20T02:39:40ZengBMCJournal of Nanobiotechnology1477-31552024-12-0122111810.1186/s12951-024-03076-1Unveiling the molecular blueprint of SKP-SCs-mediated tissue engineering-enhanced neuroregenerationHui Zhu0Ying Wang1Siyuan Xu2Yunjian Song3Yifan Li4Yiting Wang5Qiuwen Sun6Muyuan Tong7Tianyi Huang8Yulin Pan9Hongkui Wang10Xi Xu11Chengbin Xue12Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong UniversityMedical School of Nantong UniversityMedical School of Nantong UniversityMedical School of Nantong UniversityMedical School of Nantong UniversityMedical School of Nantong UniversityMedical School of Nantong UniversityMedical School of Nantong UniversityMedical School of Nantong UniversityMedical School of Nantong UniversityResearch Center of Clinical Medicine, Affiliated Hospital of Nantong University, Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong UniversityResearch Center of Clinical Medicine, Affiliated Hospital of Nantong University, Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong UniversityResearch Center of Clinical Medicine, Affiliated Hospital of Nantong University, Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong UniversityAbstract Peripheral nerve injury poses a significant challenge to the nervous system’s regenerative capacity. We previously described a novel approach to construct a chitosan/silk fibroin nerve graft with skin-derived precursor-induced Schwann cells (SKP-SCs). This graft has been shown to promote sciatic nerve regeneration and functional restoration to a level comparable to that achieved by autologous nerve grafts, as evidenced by behavioral, histological, and electrophysiological assessments. However, the underlying molecular mechanisms based on SKP-SCs mediated tissue engineering-aid regeneration remain elusive. In the present work, we systematically identified gene modules associated with the differentiation of SKPs into SCs by employing weighted gene co-expression network analysis (WGCNA). By integrating transcriptomic data from the regenerated nerve segment, we constructed a network that delineated the molecular signatures of TENG aid neuroregeneration. Subsequent quantitative PCR (qPCR) validation was performed to substantiate the WGCNA findings. Our WGCNA approach revealed a robust molecular landscape, highlighting hub genes pivotal for tissue engineering-aid regeneration. Notably, the upregulation of specific genes was observed to coincide with the acquisition of SC characteristics. The qPCR validation confirmed the expression patterns of these genes, underscoring their role in promoting neuroregeneration. The current study harnesses the power of WGCNA to elucidate the molecular blueprint governing tissue engineering-aid regeneration. The identified gene modules and validated targets offer novel insights into the cellular and molecular underpinnings of tissue engineering-augmented neuroregeneration. These findings pave the way for developing targeted therapeutics and advanced tissue engineering grafts to enhance peripheral nerve repair.https://doi.org/10.1186/s12951-024-03076-1Tissue engineeringPeripheral nerve regenerationSciatic nerve injurySchwann cellsSkin-derived precursorsWeighted gene co-expression network analysis (WGCNA)
spellingShingle Hui Zhu
Ying Wang
Siyuan Xu
Yunjian Song
Yifan Li
Yiting Wang
Qiuwen Sun
Muyuan Tong
Tianyi Huang
Yulin Pan
Hongkui Wang
Xi Xu
Chengbin Xue
Unveiling the molecular blueprint of SKP-SCs-mediated tissue engineering-enhanced neuroregeneration
Journal of Nanobiotechnology
Tissue engineering
Peripheral nerve regeneration
Sciatic nerve injury
Schwann cells
Skin-derived precursors
Weighted gene co-expression network analysis (WGCNA)
title Unveiling the molecular blueprint of SKP-SCs-mediated tissue engineering-enhanced neuroregeneration
title_full Unveiling the molecular blueprint of SKP-SCs-mediated tissue engineering-enhanced neuroregeneration
title_fullStr Unveiling the molecular blueprint of SKP-SCs-mediated tissue engineering-enhanced neuroregeneration
title_full_unstemmed Unveiling the molecular blueprint of SKP-SCs-mediated tissue engineering-enhanced neuroregeneration
title_short Unveiling the molecular blueprint of SKP-SCs-mediated tissue engineering-enhanced neuroregeneration
title_sort unveiling the molecular blueprint of skp scs mediated tissue engineering enhanced neuroregeneration
topic Tissue engineering
Peripheral nerve regeneration
Sciatic nerve injury
Schwann cells
Skin-derived precursors
Weighted gene co-expression network analysis (WGCNA)
url https://doi.org/10.1186/s12951-024-03076-1
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