brain Search Results


86
10X Genomics mouse brain palla
Mouse Brain Palla, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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86
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
Casp8, supplied by Human Protein Atlas, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Novus Biologicals human brain
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
Human Brain, supplied by Novus Biologicals, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Rockland Immunochemicals guinea pig c
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
Guinea Pig C, supplied by Rockland Immunochemicals, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Rockland Immunochemicals rat
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
Rat, supplied by Rockland Immunochemicals, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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93
Scientific Systems Design Inc incubation chamber
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
Incubation Chamber, supplied by Scientific Systems Design Inc, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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93
Elabscience Biotechnology human nt probnp elisa kit
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
Human Nt Probnp Elisa Kit, supplied by Elabscience Biotechnology, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Elabscience Biotechnology rat bdnf elisa kit
Persistent hyperalgesia in the RPP model (A and B) Paw withdrawal latency (A) and 50% paw withdrawal threshold (B) of each rat ( n = 3–6). (C) Representative histological images of DRG from T10-S4 by H&E staining. Arrow, Schwann cell; ∗, nuclei; #, cytoplasm. Scale bars, 50 μm and 25 μm. (D and E) Representative IHC images (D) and quantification (E) of <t>BDNF</t> in the DRG from T10-S4. Brown DAB staining indicates BDNF immunopositivity. The staining intensity was semi-quantitatively scored as follows: (1) weak, (2) moderate, and (3) intense. Scale bars, 50 μm. ( n = 3 biological replicates per group). (F) Serum BDNF level on days 12 and 24 of RPP modeling ( n = 3). Data are presented as the mean ± SD; ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, two-way ANOVA (A and B) or one-way ANOVA (E and F).
Rat Bdnf Elisa Kit, supplied by Elabscience Biotechnology, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Santa Cruz Biotechnology rat brain extract
Western blot analysis of the expression of PKC isoforms in human peripheral blood eosinophils from a single patient, representative of six others. <t>Rat</t> <t>brain</t> <t>extract</t> was run as positive control and blotted with nonspecific PKC <t>antibody.</t> Exposure times for the ELC reaction were ⩽1 min for PKCs δ and ζ and 60 min for all other isoforms.
Rat Brain Extract, supplied by Santa Cruz Biotechnology, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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94
Santa Cruz Biotechnology lysate
Western blot analysis of the expression of PKC isoforms in human peripheral blood eosinophils from a single patient, representative of six others. <t>Rat</t> <t>brain</t> <t>extract</t> was run as positive control and blotted with nonspecific PKC <t>antibody.</t> Exposure times for the ELC reaction were ⩽1 min for PKCs δ and ζ and 60 min for all other isoforms.
Lysate, supplied by Santa Cruz Biotechnology, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Proteintech acot7 proteintech 15972 1 approteintech human
Western blot analysis of the expression of PKC isoforms in human peripheral blood eosinophils from a single patient, representative of six others. <t>Rat</t> <t>brain</t> <t>extract</t> was run as positive control and blotted with nonspecific PKC <t>antibody.</t> Exposure times for the ELC reaction were ⩽1 min for PKCs δ and ζ and 60 min for all other isoforms.
Acot7 Proteintech 15972 1 Approteintech Human, supplied by Proteintech, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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94
Proteintech hexokinase 2 hk ii
Western blot analysis of the expression of PKC isoforms in human peripheral blood eosinophils from a single patient, representative of six others. <t>Rat</t> <t>brain</t> <t>extract</t> was run as positive control and blotted with nonspecific PKC <t>antibody.</t> Exposure times for the ELC reaction were ⩽1 min for PKCs δ and ζ and 60 min for all other isoforms.
Hexokinase 2 Hk Ii, supplied by Proteintech, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


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

Journal: BMC Immunology

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

doi: 10.1186/s12865-025-00746-z

Figure Lengend 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

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

Techniques: 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

Journal: BMC Immunology

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

doi: 10.1186/s12865-025-00746-z

Figure Lengend 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

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

Techniques: 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

Journal: BMC Immunology

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

doi: 10.1186/s12865-025-00746-z

Figure Lengend 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

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

Techniques: RNA Expression

Persistent hyperalgesia in the RPP model (A and B) Paw withdrawal latency (A) and 50% paw withdrawal threshold (B) of each rat ( n = 3–6). (C) Representative histological images of DRG from T10-S4 by H&E staining. Arrow, Schwann cell; ∗, nuclei; #, cytoplasm. Scale bars, 50 μm and 25 μm. (D and E) Representative IHC images (D) and quantification (E) of BDNF in the DRG from T10-S4. Brown DAB staining indicates BDNF immunopositivity. The staining intensity was semi-quantitatively scored as follows: (1) weak, (2) moderate, and (3) intense. Scale bars, 50 μm. ( n = 3 biological replicates per group). (F) Serum BDNF level on days 12 and 24 of RPP modeling ( n = 3). Data are presented as the mean ± SD; ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, two-way ANOVA (A and B) or one-way ANOVA (E and F).

Journal: iScience

Article Title: A pharmacological rat model of recurrent pelvic pain exhibiting hyperalgesia and depression-like behaviors

doi: 10.1016/j.isci.2026.115059

Figure Lengend Snippet: Persistent hyperalgesia in the RPP model (A and B) Paw withdrawal latency (A) and 50% paw withdrawal threshold (B) of each rat ( n = 3–6). (C) Representative histological images of DRG from T10-S4 by H&E staining. Arrow, Schwann cell; ∗, nuclei; #, cytoplasm. Scale bars, 50 μm and 25 μm. (D and E) Representative IHC images (D) and quantification (E) of BDNF in the DRG from T10-S4. Brown DAB staining indicates BDNF immunopositivity. The staining intensity was semi-quantitatively scored as follows: (1) weak, (2) moderate, and (3) intense. Scale bars, 50 μm. ( n = 3 biological replicates per group). (F) Serum BDNF level on days 12 and 24 of RPP modeling ( n = 3). Data are presented as the mean ± SD; ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, two-way ANOVA (A and B) or one-way ANOVA (E and F).

Article Snippet: Rat BDNF ELISA Kit , Elabscience , Cat# E-EL-R1235.

Techniques: Staining

Comorbid depression-like behavior in the RPP model (A and B) Serum BDNF (A) and 5-HT (B) levels in the RPP model ( n = 6). (C and D) Sucrose preference ratio (C) and immobility time (D) in the RPP model ( n = 8). Data are presented as the mean ± SD; ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, paired t test (A and B) or two-way ANOVA (C and D).

Journal: iScience

Article Title: A pharmacological rat model of recurrent pelvic pain exhibiting hyperalgesia and depression-like behaviors

doi: 10.1016/j.isci.2026.115059

Figure Lengend Snippet: Comorbid depression-like behavior in the RPP model (A and B) Serum BDNF (A) and 5-HT (B) levels in the RPP model ( n = 6). (C and D) Sucrose preference ratio (C) and immobility time (D) in the RPP model ( n = 8). Data are presented as the mean ± SD; ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, paired t test (A and B) or two-way ANOVA (C and D).

Article Snippet: Rat BDNF ELISA Kit , Elabscience , Cat# E-EL-R1235.

Techniques:

Western blot analysis of the expression of PKC isoforms in human peripheral blood eosinophils from a single patient, representative of six others. Rat brain extract was run as positive control and blotted with nonspecific PKC antibody. Exposure times for the ELC reaction were ⩽1 min for PKCs δ and ζ and 60 min for all other isoforms.

Journal:

Article Title: Protein kinase C activation inhibits eosinophil degranulation through stimulation of intracellular cAMP production

doi: 10.1038/sj.bjp.0706028

Figure Lengend Snippet: Western blot analysis of the expression of PKC isoforms in human peripheral blood eosinophils from a single patient, representative of six others. Rat brain extract was run as positive control and blotted with nonspecific PKC antibody. Exposure times for the ELC reaction were ⩽1 min for PKCs δ and ζ and 60 min for all other isoforms.

Article Snippet: The cAMP assay kit (direct method) was obtained from Assay Designs Inc, Ann Arbor, Michigan, U.S.A. All the anti-PKC antibodies, the HRP-labelled secondary antibodies and rat brain extract were obtained from Santa Cruz Biotechnology, Santa Cruz, CA, U.S.A.

Techniques: Western Blot, Expressing, Positive Control