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A few days ago, I shared a 13-point pure life letter article for everyone.
I don't know if you feel that you are still not enough after reading it
.
Today, the editor once again shared a 10+ pure life letter article for everyone's reference and study
.
The article was published in BRIEFS IN BIOINFORMATICS (IF: 11.
622) in September
.
Pan-cancer analyses reveal regulation and clinical outcome association of the shelterin complex in cancer This project is scheduled to participate in the Double Eleven event.
It is scheduled to be 15% off.
1.
Abstract: Telomere protein complex (Shelterin) is a complex that protects telomeres and plays a vital role in cancer
.
In addition to maintaining telomere integrity, it also plays an important role in various survival pathways
.
However, the regulatory mechanism of shelterin in tumors is still unknown
.
Therefore, the author used multiple omics data to comprehensively analyze shelterin in 33 cancers, and found that the amplification of TRF1 and POT1, and the co-amplification/deletion of TRF2-RAP1-TPP1 were the main mutation events; based on the expression cluster analysis found Tumor subtypes with different genome stability; integrated pathway analysis found that shelterin is positively correlated with E2F target and negatively regulated by p53 pathway; revealed a p53-mediated non-coding RNA regulatory network; survival analysis found that shelterin can predict patient prognosis; finally, based on cMAP, which identifies compounds that potentially target shelterin, provides a broad molecular signature for further research on the function and treatment of shelterin
.
2.
Material method: TCGA multi-omics data, TCPA, CCLE, CGGA, Genomic instability scores, cMAP, pathway score, network, survival analysis, database construction 3.
Results: 1.
Shelterin somatic cell changes landscape Figure 1.
Shelterin in tumor Complex changes 2.
Shelterin gene expression analysis reveals three patient subtypes and different expression levels Figure 2.
Shelterin expression landscape and genomic instability relationship 3.
Shelterin is related to biological pathways and immune signature to construct shelterin score to infer shelterin Activity Figure 3.
Shelterin is related to pathways and immune regulators in tumors 4.
DNA methylation, miRNA and lncRNA regulate the expression of shelterin Figure 4.
DNA methylation of shelterin and miRNA regulation 5.
Shelterin predicts patient survival Figure 5.
Shelterin is in As a prognostic factor in 24 cancers 6.
cMAP analysis identifies potential targeted shelterin compounds Figure 6.
Shelterin and drug correlation 7.
Shelteriin regulatory network Figure 7.
Shelteriin connection network summary: Compared with the article shared a few days ago, it is consistent There are also differences
.
Although they are mainly based on the systematic analysis of 33 TCGA cancer types, today's article uses the method of constructing a score to quantify the activity of shelterin
.
For the analysis of shelterin regulation mode, there are different entry points, which are also worth learning
.
Scan code to lock 5+ hot spots, small pan cancer analysis, only 5 seats in one direction
I don't know if you feel that you are still not enough after reading it
.
Today, the editor once again shared a 10+ pure life letter article for everyone's reference and study
.
The article was published in BRIEFS IN BIOINFORMATICS (IF: 11.
622) in September
.
Pan-cancer analyses reveal regulation and clinical outcome association of the shelterin complex in cancer This project is scheduled to participate in the Double Eleven event.
It is scheduled to be 15% off.
1.
Abstract: Telomere protein complex (Shelterin) is a complex that protects telomeres and plays a vital role in cancer
.
In addition to maintaining telomere integrity, it also plays an important role in various survival pathways
.
However, the regulatory mechanism of shelterin in tumors is still unknown
.
Therefore, the author used multiple omics data to comprehensively analyze shelterin in 33 cancers, and found that the amplification of TRF1 and POT1, and the co-amplification/deletion of TRF2-RAP1-TPP1 were the main mutation events; based on the expression cluster analysis found Tumor subtypes with different genome stability; integrated pathway analysis found that shelterin is positively correlated with E2F target and negatively regulated by p53 pathway; revealed a p53-mediated non-coding RNA regulatory network; survival analysis found that shelterin can predict patient prognosis; finally, based on cMAP, which identifies compounds that potentially target shelterin, provides a broad molecular signature for further research on the function and treatment of shelterin
.
2.
Material method: TCGA multi-omics data, TCPA, CCLE, CGGA, Genomic instability scores, cMAP, pathway score, network, survival analysis, database construction 3.
Results: 1.
Shelterin somatic cell changes landscape Figure 1.
Shelterin in tumor Complex changes 2.
Shelterin gene expression analysis reveals three patient subtypes and different expression levels Figure 2.
Shelterin expression landscape and genomic instability relationship 3.
Shelterin is related to biological pathways and immune signature to construct shelterin score to infer shelterin Activity Figure 3.
Shelterin is related to pathways and immune regulators in tumors 4.
DNA methylation, miRNA and lncRNA regulate the expression of shelterin Figure 4.
DNA methylation of shelterin and miRNA regulation 5.
Shelterin predicts patient survival Figure 5.
Shelterin is in As a prognostic factor in 24 cancers 6.
cMAP analysis identifies potential targeted shelterin compounds Figure 6.
Shelterin and drug correlation 7.
Shelteriin regulatory network Figure 7.
Shelteriin connection network summary: Compared with the article shared a few days ago, it is consistent There are also differences
.
Although they are mainly based on the systematic analysis of 33 TCGA cancer types, today's article uses the method of constructing a score to quantify the activity of shelterin
.
For the analysis of shelterin regulation mode, there are different entry points, which are also worth learning
.
Scan code to lock 5+ hot spots, small pan cancer analysis, only 5 seats in one direction