今天看到一个3分+非OA期刊出版了一篇相对比较容易操作的纯生信数据挖掘的文章(一般科研小白都会操作),这篇文章下载了相关TCGA数据库的miRNA和mRNA~差异分析~功能分析(GO、KEGG富集分析、PPI分析)~筛选关键的miRNA和mRNA~生存分析~GEO数据进行验证。这个非OA期刊就是:Expert Review of Anticancer Therapy,非OA不需要版面费,影响因子:3.573,中科院最新分区:3区,不在中科院预警名单内,审稿周期:2到3个月。
这篇文章于2021年1月28日在Expert Review of Anticancer Therapy出版,文章题目如下:
miRNA and mRNA expression profiling reveals potential biomarkers for metastatic cutaneous melanoma
文章摘要:
Purpose
This study aims to uncover potential biomarkers associated with cutaneous melanoma (CM) metastasis.
Methods
The mRNA and microRNA (miRNA) expression data from the metastatic CM and non-metastatic CM population were obtained from The Cancer Genome Atlas database. Functional analysis, protein-protein interaction (PPI), and survival analysis were performed for differentially expressed mRNAs (DEmRNAs) and miRNAs (DEmiRNAs). The interaction between DEmRNAs and DEmiRNAs was analysed. The expression of several key DEmRNAs and DEmiRNAs was validated by Gene Expression Omnibus datasets.
Results
Overall, 1172 DEmRNAs and 26 DEmiRNAs were identified from metastatic and non-metastatic CM. Cytokine-cytokine receptor interaction and chemokine signalling pathway were key pathways. CXCR1, CXCR2, CXCR4, CCR1, CCR2, and CCR5 were hub genes in the PPI network. Among these, miR-29c-3p, miR-100-5p, miR-150-5p, and miR-150-3p were not only diagnostic biomarkers, but also related to survival time. miR-203a-3p interacted with CCR5 and LIFR, while miR-224-5p was strongly associated with CXCR4. LIFR, CXCR1, CXCR2, CXCR4, CCR1, CCR2, and CCR5 were enriched in the cytokine-cytokine receptor interaction pathway. The levels of seven DEmRNAs (CXCR1, CXCR2, CXCR4, CCR1, CCR2, CCR5, and LIFR) and two DEmiRNAs (miR-203a-3p and miR-224-5p) were validated using the GSE65568 and GSE109244 datasets, respectively.
Conclusion
Our findings may provide novel biomarkers for CM metastasis.
总结:
相比于那些结合研究热点构建模型的文章,miRNA和mRNA~差异分析~功能分析(GO、KEGG富集分析、PPI分析)~筛选关键的miRNA和mRNA~生存分析~GEO数据进行验证这种分析思路真的是太简单了。简单归简单,关键还要看选择了对的期刊,遇见了对的审稿人。