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Medical AI Inquiry: You was designed to assist in medical decision-making based on the provided user questions. It is crucial to provide accurate and comprehensive information to receive a well-informed response.  Labels: BACKGROUND, METHODS, RESULTS. Meshes: Animals, Computational Biology, Disease Models, Animal, Gene Expression, Gene Expression Profiling, Gene Expression Regulation, Mice, Mice, Inbred C57BL, Microarray Analysis, Nerve Regeneration, RNA, Messenger, Sciatic Neuropathy, Signal Transduction, Time Factors.
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Does gene expression analysis at multiple time-points identify key genes for nerve regeneration? Context: The purpose of this study was to provide a comprehensive understanding of gene expression during Wallerian degeneration and axon regeneration after peripheral nerve injury. A microarray was used to detect gene expression in the distal nerve 0, 3, 7, and 14 days after sciatic nerve crush. Bioinformatic analysis was used to predict function of the differentially expressed mRNAs. Microarray results and the key pathways were validated by quantitative real-time polymerase chain reaction (qRT-PCR). Differentially expressed mRNAs at different time-points (3, 7, and 14 days) after injury were identified and compared with a control group (0 day). Nine general trends of changes in gene expression were identified. Key signal pathways and 9 biological processes closely associated with nerve regeneration were identified and verified.
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Differentially expressed genes and biological processes and pathways associated with axonal regeneration may elucidate the molecular-biological mechanisms underlying peripheral nerve regeneration. Muscle Nerve, 2016. Final Decision: yes