Transcriptomic analysis of differentially alternative splicing patterns in mice with inflammatory and neuropathic pain

Author:

Zhai Mingzhu12ORCID,Huang Jiabin3,Yang Shaomin3,Li Na1,Zeng Jun4,Zheng Yi4,Sun Wuping3ORCID,Wu Benqing2

Affiliation:

1. Southern University of Science and Technology Yantian Hospital, Shenzhen, China

2. Benqing Laboratory, Shenzhen Guangming District People’s Hospital, Shenzhen, China

3. Department of Pain Medicine and Shenzhen Municipal Key Laboratory for Pain Medicine, Shenzhen Nanshan People’s Hospital and the 6th Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, China

4. Center for Medical Experiments (CME), Shenzhen Guangming District People’s Hospital, Shenzhen, China

Abstract

Although the molecular mechanisms of chronic pain have been extensively studied, a global picture of alternatively spliced genes and events in the peripheral and central nervous systems of chronic pain is poorly understood. The current study analyzed the changing pattern of alternative splicing (AS) in mouse brain, dorsal root ganglion, and spinal cord tissue under inflammatory and neuropathic pain. In total, we identified 6495 differentially alternatively spliced (DAS) genes. The molecular functions of shared DAS genes between these two models are mainly enriched in calcium signaling pathways, synapse organization, axon regeneration, and neurodegeneration disease. Additionally, we identified 509 DAS in differentially expressed genes (DEGs) shared by these two models, accounting for a small proportion of total DEGs. Our findings supported the hypothesis that the AS has an independent regulation pattern different from transcriptional regulation. Taken together, these findings indicate that AS is one of the important molecular mechanisms of chronic pain in mammals. This study presents a global description of AS profile changes in the full path of neuropathic and inflammatory pain models, providing new insights into the underlying mechanisms of chronic pain and guiding genomic clinical diagnosis methods and rational medication.

Funder

The Medical and Health Science and Technology Plan Project of Shenzhen Yantian District Science and Technology Innovation Bureau

The Guangming District Special Fund for Economic Development

The Shenzhen Municipal Science, Technology, and Innovation Commission

Publisher

SAGE Publications

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