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Human Protein Atlas casp8
Biological functions associated with the recurrent scores. (A-B) The recurrent score related biological process revealed by Gene ontology analysis in the CGGA 693 and CGGA 325 database . (C-D) The heatmap showed the recurrent score and the enrichment scores of apoptosis-related functions of each patient in the CGGA 693 and CGGA 325 database. The samples were arranged in ascending order of the recurrent score. The column graph and line graph on the right showed the R -value and P -value of the correlation analysis. (E) Flow chart for recurrent score correlation analysis. (F-G) Using Pearson correlation analysis, the top 18 apoptosis-related genes mostly correlated with recurrent score were selected in CGGA 693 and CGGA 325 database. (H-I) The relationship between recurrent score and 6 apoptosis-related genes in glioma. The correlation coefficients were demonstrated as the proportion of the pie charts. The bottom right showed the correlation coefficient. The red parts represented a positive correlation. The correlation was tested by Pearson correlation analysis. (J) Correlation between the expression of the 6 genes in CGGA 693 and CGGA 325 database. ( K ) Expression levels of the 6 genes in primary glioma and recurrent glioma in CGGA 325 database and CGGA 693 database. (L) Survival analyses of the 6 genes by Kaplan-Meier curves and log-rank tests based on CCGA 693 database and CGGA 325 database. ( M ) Protein levels of SH3GLB1, NEK6, <t>CASP8</t> and ITGB1 in normal tissues and GBM from The Human Protein Atlas database
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1) Product Images from "Establishment and validation of a recurrent prediction model for glioma: extrinsic apoptotic molecules FADD and CASP8 are closely associated with glioma recurrence"

Article Title: Establishment and validation of a recurrent prediction model for glioma: extrinsic apoptotic molecules FADD and CASP8 are closely associated with glioma recurrence

Journal: BMC Immunology

doi: 10.1186/s12865-025-00746-z

Biological functions associated with the recurrent scores. (A-B) The recurrent score related biological process revealed by Gene ontology analysis in the CGGA 693 and CGGA 325 database . (C-D) The heatmap showed the recurrent score and the enrichment scores of apoptosis-related functions of each patient in the CGGA 693 and CGGA 325 database. The samples were arranged in ascending order of the recurrent score. The column graph and line graph on the right showed the R -value and P -value of the correlation analysis. (E) Flow chart for recurrent score correlation analysis. (F-G) Using Pearson correlation analysis, the top 18 apoptosis-related genes mostly correlated with recurrent score were selected in CGGA 693 and CGGA 325 database. (H-I) The relationship between recurrent score and 6 apoptosis-related genes in glioma. The correlation coefficients were demonstrated as the proportion of the pie charts. The bottom right showed the correlation coefficient. The red parts represented a positive correlation. The correlation was tested by Pearson correlation analysis. (J) Correlation between the expression of the 6 genes in CGGA 693 and CGGA 325 database. ( K ) Expression levels of the 6 genes in primary glioma and recurrent glioma in CGGA 325 database and CGGA 693 database. (L) Survival analyses of the 6 genes by Kaplan-Meier curves and log-rank tests based on CCGA 693 database and CGGA 325 database. ( M ) Protein levels of SH3GLB1, NEK6, CASP8 and ITGB1 in normal tissues and GBM from The Human Protein Atlas database
Figure Legend Snippet: Biological functions associated with the recurrent scores. (A-B) The recurrent score related biological process revealed by Gene ontology analysis in the CGGA 693 and CGGA 325 database . (C-D) The heatmap showed the recurrent score and the enrichment scores of apoptosis-related functions of each patient in the CGGA 693 and CGGA 325 database. The samples were arranged in ascending order of the recurrent score. The column graph and line graph on the right showed the R -value and P -value of the correlation analysis. (E) Flow chart for recurrent score correlation analysis. (F-G) Using Pearson correlation analysis, the top 18 apoptosis-related genes mostly correlated with recurrent score were selected in CGGA 693 and CGGA 325 database. (H-I) The relationship between recurrent score and 6 apoptosis-related genes in glioma. The correlation coefficients were demonstrated as the proportion of the pie charts. The bottom right showed the correlation coefficient. The red parts represented a positive correlation. The correlation was tested by Pearson correlation analysis. (J) Correlation between the expression of the 6 genes in CGGA 693 and CGGA 325 database. ( K ) Expression levels of the 6 genes in primary glioma and recurrent glioma in CGGA 325 database and CGGA 693 database. (L) Survival analyses of the 6 genes by Kaplan-Meier curves and log-rank tests based on CCGA 693 database and CGGA 325 database. ( M ) Protein levels of SH3GLB1, NEK6, CASP8 and ITGB1 in normal tissues and GBM from The Human Protein Atlas database

Techniques Used: Expressing

The association between recurrent score and classical apoptotic genes. (A) The relationship between the 6 genes and recurrent score in CGGA and TCGA database . (B) PPI network of CASP3, CASP9, FADD, CASP7, CASP8, BCL2,and the 9-gene signature from the STRING. (C-D) The expression levels of the 6 apoptotic genes in low- and high-risk levels . (E-J) Correlation between recurrent score and expression levels of apoptotic genes. *P<0.05; ***P<0.001; ns, not significant
Figure Legend Snippet: The association between recurrent score and classical apoptotic genes. (A) The relationship between the 6 genes and recurrent score in CGGA and TCGA database . (B) PPI network of CASP3, CASP9, FADD, CASP7, CASP8, BCL2,and the 9-gene signature from the STRING. (C-D) The expression levels of the 6 apoptotic genes in low- and high-risk levels . (E-J) Correlation between recurrent score and expression levels of apoptotic genes. *P<0.05; ***P<0.001; ns, not significant

Techniques Used: Expressing

RNA and protein levels of CASP8 and FADD in normal tissues and tumors. (A-B) RNA expression of CASP8 and FADD in normal tissues from the NCBI database (https://www.ncbi.nlm.nih.gov/). (C-D) RNA expression of CASP8 and FADD in normal tissues from the Human Protein Atlas database (https://www.proteinatlas.org/). (E) Protein levels of CASP8 and FADD in normal brain tissues from The Human Protein Atlas database. (F) Protein levels of CASP8 and FADD in normal tissues from The Human Protein Atlas database. (G) Protein levels of CASP8 and FADD in tumors from The Human Protein Atlas database
Figure Legend Snippet: RNA and protein levels of CASP8 and FADD in normal tissues and tumors. (A-B) RNA expression of CASP8 and FADD in normal tissues from the NCBI database (https://www.ncbi.nlm.nih.gov/). (C-D) RNA expression of CASP8 and FADD in normal tissues from the Human Protein Atlas database (https://www.proteinatlas.org/). (E) Protein levels of CASP8 and FADD in normal brain tissues from The Human Protein Atlas database. (F) Protein levels of CASP8 and FADD in normal tissues from The Human Protein Atlas database. (G) Protein levels of CASP8 and FADD in tumors from The Human Protein Atlas database

Techniques Used: RNA Expression

Related Articles

Quantitative Proteomics:

Article Title: Establishment and validation of a recurrent prediction model for glioma: extrinsic apoptotic molecules FADD and CASP8 are closely associated with glioma recurrence
Article Snippet: .. Characterizing the differential expression patterns of CASP8 and FADD in gliomas and normal tissues will play a crucial role in the further development of targeted therapeutic strategies for gliomas Fig. 9 RNA and protein levels of CASP8 and FADD in normal tissues and tumors. (A-B) RNA expression of CASP8 and FADD in normal tissues from the NCBI database (https://www.ncbi.nlm.nih.gov/). (C-D) RNA expression of CASP8 and FADD in normal tissues from the Human Protein Atlas database (https://www.proteinatlas.org/). (E) Protein levels of CASP8 and FADD in normal brain tissues from The Human Protein Atlas database. (F) Protein levels of CASP8 and FADD in normal tissues from The Human Protein Atlas database. (G) Protein levels of CASP8 and FADD in tumors from The Human Protein Atlas database ..

RNA Expression:

Article Title: Establishment and validation of a recurrent prediction model for glioma: extrinsic apoptotic molecules FADD and CASP8 are closely associated with glioma recurrence
Article Snippet: .. Characterizing the differential expression patterns of CASP8 and FADD in gliomas and normal tissues will play a crucial role in the further development of targeted therapeutic strategies for gliomas Fig. 9 RNA and protein levels of CASP8 and FADD in normal tissues and tumors. (A-B) RNA expression of CASP8 and FADD in normal tissues from the NCBI database (https://www.ncbi.nlm.nih.gov/). (C-D) RNA expression of CASP8 and FADD in normal tissues from the Human Protein Atlas database (https://www.proteinatlas.org/). (E) Protein levels of CASP8 and FADD in normal brain tissues from The Human Protein Atlas database. (F) Protein levels of CASP8 and FADD in normal tissues from The Human Protein Atlas database. (G) Protein levels of CASP8 and FADD in tumors from The Human Protein Atlas database ..

Clinical Proteomics:

Article Title: Sex-aware causal inference assessment of the immune system in complex neurodegenerative diseases.
Article Snippet: .. OMG is uniquely and highly 22 expressed in brain tissues (Human Protein Atlas version 24.0), 68 but neither previous cis-MR 23 studies in CSF nor our exploratory analyses using CSF protein levels have highlighted it as 24 potentially causal.56,69 Through our literature search, we did not find direct links between 25 OMG and PD, but OMG is a novel risk locus in the largest PD European ancestry GWAS to 26 date.70 There is experimental evidence showing protein-protein interactions specific to AD 27 brain samples, between OMG and Tau, a protein encoded by MAPT, which in turn is a genetic 28 risk locus for PD and AD.71 These combined results encourage further consideration of OMG 29 as a potential target for neurodegenerative diseases. ..

GWAS:

Article Title: Sex-aware causal inference assessment of the immune system in complex neurodegenerative diseases.
Article Snippet: .. OMG is uniquely and highly 22 expressed in brain tissues (Human Protein Atlas version 24.0), 68 but neither previous cis-MR 23 studies in CSF nor our exploratory analyses using CSF protein levels have highlighted it as 24 potentially causal.56,69 Through our literature search, we did not find direct links between 25 OMG and PD, but OMG is a novel risk locus in the largest PD European ancestry GWAS to 26 date.70 There is experimental evidence showing protein-protein interactions specific to AD 27 brain samples, between OMG and Tau, a protein encoded by MAPT, which in turn is a genetic 28 risk locus for PD and AD.71 These combined results encourage further consideration of OMG 29 as a potential target for neurodegenerative diseases. ..

Protein-Protein interactions:

Article Title: Sex-aware causal inference assessment of the immune system in complex neurodegenerative diseases.
Article Snippet: .. OMG is uniquely and highly 22 expressed in brain tissues (Human Protein Atlas version 24.0), 68 but neither previous cis-MR 23 studies in CSF nor our exploratory analyses using CSF protein levels have highlighted it as 24 potentially causal.56,69 Through our literature search, we did not find direct links between 25 OMG and PD, but OMG is a novel risk locus in the largest PD European ancestry GWAS to 26 date.70 There is experimental evidence showing protein-protein interactions specific to AD 27 brain samples, between OMG and Tau, a protein encoded by MAPT, which in turn is a genetic 28 risk locus for PD and AD.71 These combined results encourage further consideration of OMG 29 as a potential target for neurodegenerative diseases. ..



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