購買VIP會員可以免費學習所有課程,一次性付費,永久有效~購買VIP會員可以免費學習所有課程
不做實驗不做meta分析,一個星期一篇SCI
這樣也能發6分SCI,這位研究生是在太厲害了
一次性付費學習所有課程
快速搶發3-5分純生信SCI
看這些可以快速發幾篇SCI?
單細胞數據挖掘課程重磅上線
本文來源於微信公眾號慶直登科研,可以掃碼關注慶直登科研
今天看到一個3分+非OA期刊出版了一篇相對比較容易操作的純生信數據挖掘的文章(一般科研小白都會操作),這篇文章下載了相關TCGA資料庫的miRNA和mRNA~差異分析~功能分析(GO、KEGG富集分析、PPI分析)~篩選關鍵的miRNA和mRNA~生存分析~GEO數據進行驗證。這個非OA期刊就是:Expert Review of Anticancer Therapy,非OA不需要版面費,影響因子:3.573,中科院最新分區:3區,不在中科院預警名單內,審稿周期:2到3個月。
這篇文章於2021年1月28日在Expert Review of Anticancer Therapy出版,文章題目如下:
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.
總結:
相比於那些結合研究熱點構建模型的文章,miRNA和mRNA~差異分析~功能分析(GO、KEGG富集分析、PPI分析)~篩選關鍵的miRNA和mRNA~生存分析~GEO數據進行驗證這種分析思路真的是太簡單了。簡單歸簡單,關鍵還要看選擇了對的期刊,遇見了對的審稿人。
往期內容:
這個5分期刊接收率48%,你心動了嗎
這種單細胞數據挖掘方法才是臨床醫生想要的
這樣也能發6分SCI,這位研究生是在太厲害了
這8篇SCI論文涉嫌代寫代發,都被撤稿了
發SCI不要輕易掛上別人的名字,不然後果很嚴重
這種m6A的TCGA數據挖掘發文思路不難
找到一個基因家族,基本上可以坐等發SCI
非腫瘤純生信3分SCI思路分享
SCI論文共同第一作者排在第二位,作用大嗎?