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| Status |
Public on May 05, 2023 |
| Title |
Levo-tetrahydropalmatine Ameliorates Neuropathic Pain via Suppressing the Activation of the Clec7a-MAPK/NF-κB-NLRP3 Inflammasome Axis |
| Organism |
Rattus norvegicus |
| Experiment type |
Expression profiling by high throughput sequencing
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| Summary |
Due to the complex pathogenesis of neuropathic pain (NP), the therapeutic effect of existing drugs on NP is not satisfactory, which seriously affects the life quality of patients. Accumulating studies have indicated that neuroinflammation in the spinal cord may play a vital role in NP development and progression. Levo-tetrahydropalmatine (l-THP) has been extensively used for the treatment of a variety of chronic pain for decades. However, the analgesic effects and the underlying mechanisms of I-THP against NP have not been fully elucidated. To address this problem, we herein carried out RNA-seq and bioinformatics analyses to identify the effective target profiling of I-THP including 1113 upregulated and 132 downregulated genes in spinal cord obtained from Chronic constrictive injury (CCI) rats with or without I-THP administration.
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| Overall design |
SC tissues (L4-L6) collected from the rats in the Sham, CCI and CCI+THP groups (n=4 per group) on postoperative day 10 were immersed in TRIzol (Invitrogen, CA, USA) and immediately frozen in liquid nitrogen for the detection.Sequencing libraries were generated using NEBNextUltra RNA Library Prep Set for Illumina (NEB, USA.). The clustering of the index-coded samples was performed on a cBot Cluster Generation System using TruSeq SR Cluster Kit v3-cBot-HS (Illumia). After cluster generation, the library preparations were sequenced on an Illumina Hiseq 2500 platform. Gene expression profiling was analyzed using R (http://www.rproject.org/, version 3.1.1) with Bioconductor packages (http://www.bioconductor.org/). Raw intensities were normalized using Robust multi-array average (RMA method).
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| Contributor(s) |
Wu D, Zhao C, Xu H, Zhang Y |
| Citation missing |
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| Submission date |
Nov 14, 2022 |
| Last update date |
May 07, 2023 |
| Contact name |
Wu Dan |
| E-mail(s) |
wudan971111@outlook.com
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| Phone |
19800358761
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| Organization name |
Institute of Chinese Materia Medica，China Academy of Chinese Medical Sciences
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| Street address |
Dongzhimennei south steet 16
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| City |
Beijing |
| ZIP/Postal code |
1111 |
| Country |
China |
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| Platforms (1) |
| GPL18694 |
Illumina HiSeq 2500 (Rattus norvegicus) |
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| Samples (12)
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| Relations |
| BioProject |
PRJNA901423 |
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