Identification of microRNA-mRNA regulatory networks and pathways related to retinoblastoma across human and mouse
AIM: To explore the mRNA and pathways related to retinoblastoma (RB) genesis and development. METHODS: Microarray datasets GSE29683 (human) and GSE29685 (mouse) were downloaded from NCBI GEO database. Homologous genes between the two species were identified using WGCNA, followed by protein-protein...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Press of International Journal of Ophthalmology (IJO PRESS)
2020-04-01
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| Series: | International Journal of Ophthalmology |
| Subjects: | |
| Online Access: | http://www.ijo.cn/en_publish/2020/4/20200402.pdf |
| _version_ | 1817985114055901184 |
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| author | Rui Tian He Zou Lu-Fei Wang Mei-Jiao Song Lu Liu Hui Zhang |
| author_facet | Rui Tian He Zou Lu-Fei Wang Mei-Jiao Song Lu Liu Hui Zhang |
| author_sort | Rui Tian |
| collection | DOAJ |
| description | AIM: To explore the mRNA and pathways related to retinoblastoma (RB) genesis and development.
METHODS: Microarray datasets GSE29683 (human) and GSE29685 (mouse) were downloaded from NCBI GEO database. Homologous genes between the two species were identified using WGCNA, followed by protein-protein interaction (PPI) network construction and gene enrichment analysis. Disease-related miRNAs and pathways were retrieved from miR2Disease database and Comparative Toxicogenomics Database (CTD), respectively.
RESULTS: A total of 352 homologous genes were identified. Two pathways including “cell cycle” and “pathway in cancer” in CTD and enrichment analysis were identified and seven miRNAs (including hsa-miR-373, hsa-miR-34a, hsa-miR-129, hsa-miR-494, hsa-miR-503, hsa-let-7 and hsa-miR-518c) were associated with RB. miRNAs modulate “cell cycle” and “pathway in cancer” pathways via regulating 13 genes (including CCND1, CDC25C, E2F2, CDKN2D and TGFB2).
CONCLUSION: These results suggest that these miRNAs play crucial roles in RB genesis through “cell cycle” and “pathway in cancer” pathways by regulating their targets including CCND1, CDC25C, E2F2 and CDKN2D. |
| first_indexed | 2024-04-13T23:53:02Z |
| format | Article |
| id | doaj.art-d2d0cef5af8841038a044bde132a9566 |
| institution | Directory Open Access Journal |
| issn | 2222-3959 2227-4898 |
| language | English |
| last_indexed | 2024-04-13T23:53:02Z |
| publishDate | 2020-04-01 |
| publisher | Press of International Journal of Ophthalmology (IJO PRESS) |
| record_format | Article |
| series | International Journal of Ophthalmology |
| spelling | doaj.art-d2d0cef5af8841038a044bde132a95662022-12-22T02:24:00ZengPress of International Journal of Ophthalmology (IJO PRESS)International Journal of Ophthalmology2222-39592227-48982020-04-0113453554410.18240/ijo.2020.04.02Identification of microRNA-mRNA regulatory networks and pathways related to retinoblastoma across human and mouseRui Tian0He Zou1Lu-Fei Wang2Mei-Jiao Song3Lu Liu4Hui Zhang5Department of Ophthalmology, the Second Hospital of Jilin University, Changchun 130000, Jilin Province, ChinaDepartment of Ophthalmology, the Second Hospital of Jilin University, Changchun 130000, Jilin Province, ChinaDepartment of Ophthalmology, the Second Hospital of Jilin University, Changchun 130000, Jilin Province, ChinaDepartment of Ophthalmology, the Second Hospital of Jilin University, Changchun 130000, Jilin Province, ChinaDepartment of Ophthalmology, the Second Hospital of Jilin University, Changchun 130000, Jilin Province, ChinaDepartment of Ophthalmology, the Second Hospital of Jilin University, Changchun 130000, Jilin Province, ChinaAIM: To explore the mRNA and pathways related to retinoblastoma (RB) genesis and development. METHODS: Microarray datasets GSE29683 (human) and GSE29685 (mouse) were downloaded from NCBI GEO database. Homologous genes between the two species were identified using WGCNA, followed by protein-protein interaction (PPI) network construction and gene enrichment analysis. Disease-related miRNAs and pathways were retrieved from miR2Disease database and Comparative Toxicogenomics Database (CTD), respectively. RESULTS: A total of 352 homologous genes were identified. Two pathways including “cell cycle” and “pathway in cancer” in CTD and enrichment analysis were identified and seven miRNAs (including hsa-miR-373, hsa-miR-34a, hsa-miR-129, hsa-miR-494, hsa-miR-503, hsa-let-7 and hsa-miR-518c) were associated with RB. miRNAs modulate “cell cycle” and “pathway in cancer” pathways via regulating 13 genes (including CCND1, CDC25C, E2F2, CDKN2D and TGFB2). CONCLUSION: These results suggest that these miRNAs play crucial roles in RB genesis through “cell cycle” and “pathway in cancer” pathways by regulating their targets including CCND1, CDC25C, E2F2 and CDKN2D.http://www.ijo.cn/en_publish/2020/4/20200402.pdfkyoto encyclopedia of genes and genomes pathwaymicrornaretinoblastomaweighted gene co-expression network analysis |
| spellingShingle | Rui Tian He Zou Lu-Fei Wang Mei-Jiao Song Lu Liu Hui Zhang Identification of microRNA-mRNA regulatory networks and pathways related to retinoblastoma across human and mouse International Journal of Ophthalmology kyoto encyclopedia of genes and genomes pathway microrna retinoblastoma weighted gene co-expression network analysis |
| title | Identification of microRNA-mRNA regulatory networks and pathways related to retinoblastoma across human and mouse |
| title_full | Identification of microRNA-mRNA regulatory networks and pathways related to retinoblastoma across human and mouse |
| title_fullStr | Identification of microRNA-mRNA regulatory networks and pathways related to retinoblastoma across human and mouse |
| title_full_unstemmed | Identification of microRNA-mRNA regulatory networks and pathways related to retinoblastoma across human and mouse |
| title_short | Identification of microRNA-mRNA regulatory networks and pathways related to retinoblastoma across human and mouse |
| title_sort | identification of microrna mrna regulatory networks and pathways related to retinoblastoma across human and mouse |
| topic | kyoto encyclopedia of genes and genomes pathway microrna retinoblastoma weighted gene co-expression network analysis |
| url | http://www.ijo.cn/en_publish/2020/4/20200402.pdf |
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