RNA 25. What should we do if there is only Shengxin but no experiment in SCI articles?

Today we will introduce a very convenient online immunohistochemical analysis tool ——PHA (The Human atlas), Immunohistochemistry is one of the most common methods of supplementary experiments in the combination of dry and wet single gene signaling , High cost performance . But if there is no condition for immunohistochemical analysis of your own samples , adopt HPA Database for white whoring , website ：

https://www.proteinatlas.org/

The tutorial of Huanfeng gene not only teaches you how to use , We will also analyze some related articles regularly , Learning tutorials is just the foundation , But if the analysis results are integrated into the article, it is the purpose , I think these tutorials are not bad , And you analyzed the good results according to our tutorial and sent an article. Remember to inform us , And thank us in the article ！

 The English name of the company ：Kyoho Gene Technology (Beijing) Co.,Ltd.

Huanfeng gene official account launched a course of transcriptome analysis and clinical prediction model , Teachers who need students' letters can contact us ！ First, take a look at the transcription analysis tutorial, which is summarized as follows ：

RNA 1. Gene expression things – be based on GEO

RNA 2. SCI The article is based on GEO Of differentially expressed genes limma

RNA 3. SCI The article is based on T CGA Differentially expressed genes DESeq2
RNA 4. SCI The article is based on TCGA Differential expression edgeR
RNA 5. SCI Differential gene expression in the article MA chart
RNA 6. Differential gene expression -- Volcanic map (volcano)
RNA 7. SCI Gene expression in the article —— Principal component analysis (PCA)
RNA 8. SCI Differential gene expression in the article – Thermogram (heatmap)

RNA 9. SCI Gene expression in the article GO notes

RNA 10. SCI Gene expression is enriched in the article –KEGG
RNA 11. SCI Gene expression is enriched in the article GSEA
RNA 12. SCI The calculation method of tumor immune infiltration in this article CIBERSORT
RNA 13. SCI Of differentially expressed genes in the article WGCNA
RNA 14. SCI Of differentially expressed genes in the article Protein protein interaction network (PPI)
RNA 15. SCI One of the fusion genes in the article FusionGDB2
RNA 16. SCI The visualization of fusion genes in this article
RNA 17. SCI Screening in the article Hub gene (Hub genes)
RNA 18. SCI Analysis of gene set variation in the article GSVA
RNA 19. SCI Unsupervised clustering method in the article （ConsensusClusterPlus）
RNA 20. SCI Single sample immune infiltration analysis in the article （ssGSEA）
RNA 21. SCI Single gene enrichment analysis in the article
RNA 22. SCI In this paper, the stromal cells and immune cells of malignant tumor tissues are estimated based on expression （ESTIMATE）
RNA 23. SCI The risk factor association diagram of the expressed gene model in the article （ggrisk）
RNA 24. SCI The article is based on TCGA An online gadget for immune infiltrating cell analysis —TIMER

RNA 25. SCI In the article, there is only Shengxin and no experiment ？

The clinical prediction model is summarized as follows ：

Topic 1. _ clinical _ Conventional thinking of biomarker Shengxin analysis

Topic 2. Survival analysis Kaplan-Meier

Topic 3. SCI The first table of the article – Baseline table

Topic 4. _ clinical _ Prediction model construction Logistic Return to

Topic 5. Sample size determination and segmentation

Topic 6 Counting variable Poisson regression

Topic 7. _ clinical _ prediction model –Cox Return to

Topic 8. _ clinical _ prediction model -Lasso Return to

Topic 9. SCI The second table of the article — Single factor regression analysis table

Topic 10. Single factor Logistic regression analysis — Univariate analysis table

Topic 11. SCI Multivariate screening — single / Multifactor table
Topic 12 _ clinical _ prediction model — Nomograph (Nomogram)

Topic 13. _ clinical _ prediction model — Consistency index (C-index)

Topic 14. _ clinical _ Calibration curve of prediction model (Calibration curve)
Topic 15. _ clinical _ Decision curve of prediction model (DCA)
Topic 16. _ clinical _ Receiver operation characteristic curve of prediction model (ROC)

Topic 17. Missing value recognition and visualization of clinical prediction models

Topic 18. Missing value interpolation method of clinical prediction model

Human Protein Atlas database , abbreviation HPA database , It is committed to providing all 24,000 Tissue and cellular distribution of human proteins , And provide free public inquiry .

Sweden, which created this database Knut & Alice Wallenberg The foundation uses special antibodies , Using immunohistochemical techniques , Check every protein in 48 It's a normal human tissue ,20 It's a tumor tissue ,47 Two cell lines and 12 Distribution and expression in blood cells , The result is at least 576 This is an immunohistochemical stain , And read and indexed by professionals . These organizations are from 144 Two different individuals and 216 A tumor tissue , Ensure that the staining results are fully representative . This is a large-scale protein research project , The main purpose is to map the protein positions encoded by the expressed genes in human tissues and cells .

We use ACE2 For example, genes , Find the results of breast cancer .

1. Enter the gene name

2. The first thing you see is ACE2, Click on the gene name

3. find TISSUE, Get into

4. Enter and find BREAST, Find the graph of normal organization

5. After entering , We see the immunohistochemical map of the samples found

6. Next we look for the results of breast cancer , Click to enter PATHOLOGY

7. Get into PATHOLOGY, Choose the one on the left CANCER, Re selection BREAST CANCER

8. After entering , We found a survival analysis on the right ,P The value is significant , And it can be used as a prediction of breast cancer biomarker.

9. Pull down the line to see the picture

10. Choose one to go in , See the specific information , And clear pictures

11. Place the mouse over the picture , Click on the right , appear “ Save picture as ”, You can save the picture

Isn't it very simple , This online tool has a good picture effect , The color matching is also reasonable , Provide png Version download , It can be integrated into your own articles , Very easy to use ！

Follow the Huanfeng gene tutorial , Cast a successful you , Remember to pay attention to us , If you find it difficult to make a letter , Come and contact Huanfeng gene ！！！