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Broad Institute Inc gsea java desktop application
Gsea Java Desktop Application, supplied by Broad Institute Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/gsea+java+desktop+application/gsea+software/pm38308117-362-27-37
Average 90 stars, based on 1 article reviews
gsea java desktop application - by Bioz Stars, 2026-09
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Software:

Article Title:
Article Snippet: Microsoft Excel for Mac, Version 16.54 QIAGEN Ingenuity Pathway Analysis (QIAGEN IPA), version 01-20-04 Palantir Foundry platform (Palantir Technologies), version 5.341.0 For Whole blood transcriptome - Trimmomatic (version 0.36) - STAR aligner (version 2.5.3a) - HTSeq (version 0.9.1) - R package edgeR (version 3.30.3) - R package LIMMA (version 3.44.3) - Molecular Signatures Database gene sets (version 6.1). .. The GSEA Java desktop program was downloaded from the Broad Institute (http:// www.broadinstitute.org/gsea/index.jsp) For microRNA - bcl2fastq software (version 0.10.1; Illumina, Inc.). ..

Article Title: Colocalized inhibition of TGF-β and PD-L1
Article Snippet: DEGs identified between treatment groups were evaluated using the “investigate gene sets” function at the Molecular Signature Database (MSigDB v7.3; Broad Institute, MIT; UC San Diego; https://www.gsea-msigdb.org/gsea/msigdb/index.jsp) to compute overlaps between the list of genes and gene sets in MSigDB, which is a collection of curated gene signatures for the evaluation of biological functions. .. GSEA software (v4.1.0; Broad Institute, MIT; UCSD) was used to identify enriched signaling pathways and biological functions associated with a specific treatment. ..

Article Title: Machine learning-based integration develops a hypoxia-derived signature for improving outcomes in glioma
Article Snippet: .. Exploring the fundamental signaling pathways of the two subtypes was carried out utilizing GSEA software (version 3.0) acquired from the Broad Institute ( http://www.broadinstitute.org/gsea ). .. The gene expression profile of the two subtypes in the TCGA cohort, along with the hallmark gene sets from the MSigDB datasets provided by the Broad Institute, were imported into the GSEA software (version 3.0).

Article Title: Machine learning-based integration develops a hypoxia-derived signature for improving outcomes in glioma
Article Snippet: Exploring the fundamental signaling pathways of the two subtypes was carried out utilizing GSEA software (version 3.0) acquired from the Broad Institute ( http://www.broadinstitute.org/gsea ). .. The gene expression profile of the two subtypes in the TCGA cohort, along with the hallmark gene sets from the MSigDB datasets provided by the Broad Institute, were imported into the GSEA software (version 3.0). ..

other:

Article Title: Supporting Information
Article Snippet: Gene set enrichment analysis (GSEA) was performed using GSEA version 4.1.0 software (Broad Institute) as previously described[13].

Article Title: Targeting mitochondria mitigates chemotherapy-induced bone marrow dysfunction
Article Snippet: Gene-set enrichment analysis (GSEA) was conducted using the Broad-Institute GSEA tool (V4.4.0) ( , ), employing the classic enrichment score calculation, 1.000 gene-set based permutations, and the signal2noise metric for gene ranking.

Article Title: Engineered regulatory T cells
Article Snippet: We then carried out Gene Set Enrichment Analysis (GSEA) pathway analysis using GSEA v3.0 from the Broad Institute and the Kyoto Encyclopedia of Genes and Genomes (KEGG) database.

Article Title: Engineered regulatory T cells
Article Snippet: We made these filtered lists for each donor and comparison and used the CPMs to carry out gene set enrichment analysis (GSEA) with the GSEA v3.0 software from the Broad Institute.

Protein-Protein interactions:

Article Title: Colocalized inhibition of TGF-β and PD-L1
Article Snippet: DEGs identified between treatment groups were evaluated using the “investigate gene sets” function at the Molecular Signature Database (MSigDB v7.3; Broad Institute, MIT; UC San Diego; https://www.gsea-msigdb.org/gsea/msigdb/index.jsp) to compute overlaps between the list of genes and gene sets in MSigDB, which is a collection of curated gene signatures for the evaluation of biological functions. .. GSEA software (v4.1.0; Broad Institute, MIT; UCSD) was used to identify enriched signaling pathways and biological functions associated with a specific treatment. ..

Article Title: Machine learning-based integration develops a hypoxia-derived signature for improving outcomes in glioma
Article Snippet: .. Exploring the fundamental signaling pathways of the two subtypes was carried out utilizing GSEA software (version 3.0) acquired from the Broad Institute ( http://www.broadinstitute.org/gsea ). .. The gene expression profile of the two subtypes in the TCGA cohort, along with the hallmark gene sets from the MSigDB datasets provided by the Broad Institute, were imported into the GSEA software (version 3.0).

Gene Expression:

Article Title: Machine learning-based integration develops a hypoxia-derived signature for improving outcomes in glioma
Article Snippet: Exploring the fundamental signaling pathways of the two subtypes was carried out utilizing GSEA software (version 3.0) acquired from the Broad Institute ( http://www.broadinstitute.org/gsea ). .. The gene expression profile of the two subtypes in the TCGA cohort, along with the hallmark gene sets from the MSigDB datasets provided by the Broad Institute, were imported into the GSEA software (version 3.0). ..



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Significantly enriched gene sets (FDR < 0.05) in ICM and TE transcriptomes of in vitro-developed blastocysts with HI compared to CNTRL. Significantly enriched gene sets were identified by <t>GSEA</t> with the Molecular Signature Database (MSigDB) gene set collections: Hallmarks, KEGG, Reactome, and GO BP. GSEA was followed by SUMER analysis for gene set condensation. ( A ). Pie charts showing the enriched gene sets in HI ICM versus CNTRL ICM. ( B ). Pie charts showing the enriched gene sets in HI TE versus CNTRL TE. ICM, inner cell mass. TE, trophectoderm.
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Significantly enriched gene sets (FDR < 0.05) in ICM and TE transcriptomes of in vitro-developed blastocysts with HI compared to CNTRL. Significantly enriched gene sets were identified by <t>GSEA</t> with the Molecular Signature Database (MSigDB) gene set collections: Hallmarks, KEGG, Reactome, and GO BP. GSEA was followed by SUMER analysis for gene set condensation. ( A ). Pie charts showing the enriched gene sets in HI ICM versus CNTRL ICM. ( B ). Pie charts showing the enriched gene sets in HI TE versus CNTRL TE. ICM, inner cell mass. TE, trophectoderm.
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Searching for the potential biological processes associated with low expression of MAT1A and GNMT . ( A ) MAT1A and GNMT expressions in paired tumor and adjacent normal tissues in the HCC cases ( n = 42). ( B ) Pearson’s correlation for MAT1A and GNMT expression in the 42 HCC cases. ( C ) Flow chart for searching the candidate biological processes that could be driven by low expression of MAT1A and GNMT ; <t>GSEA</t> was used to process the 42 HCC RNA-seq data. REACTOME_TRANSLATION gene set was found to be significantly enriched in HCC with low MAT1A. The median of mRNA expression level was used as the cutoff point for the dichotomization of MAT1A and GNMT. A score greater than median was defined as “high” expression, whereas a score of less than or equal to median was defined as “low” expression, and the categories further were mapped into GSEA databases. ( D ) and in HCC with low GNMT ( E ). ( F ) Heatmaps of the REACTOME_ TRANSLATION enrichment genes in HCC with high and low MAT1A and GNMT categories ( G ) A total of 71 overlapped genes of the REACTOME_ TRANSLATION gene set that are enriched in both low MAT1A and low GNMT HCC samples.
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Delivery of cGAMP from radioresistant cells to immune cells induces tonic IFN and NF-κB signaling in Trex1 deficiency (A) Global gene expression analysis by 3′-mRNA seq. Gene and sample-wise hierarchical clustering based on differentially expressed genes (non-adjusted p value <0.05, n = 660) within the dataset of spleen tissue from Cgas −/− BM and dKO BM mice. Gene expression values are Z score standardized. For visualization purposes Z scores were limited to numbers between −2 and 2. (B) PCA plot of spleen tissue data from Cgas −/− BM and dKO BM mice. PCA is based on differentially expressed genes (non-adjusted p value <0.05, n = 684). (C) Volcano plot indicating transcriptomic changes between Cgas −/− BM and dKO BM mice. Genes with a non-adjusted p value <0.05 and a signed fold change >2 are colored in red (upregulated in Cgas −/− KO BM mice) and blue (upregulated in dKO BM mice). Differentially expressed genes with an adjusted p value < 0.05 are labeled. (D) Normalized Enrichment Scores (NES) of Hallmark gene sets significantly upregulated (FDR q value <0.01) in spleen tissue from Cgas −/− BM mice compared with that from dKO BM mice in a pre-ranked Gene Set Enrichment Analysis <t>(GSEA)</t> based on a metric score calculated by log 2 (fold change) x (-log 10 (p value)). n = 5 mice per group. (E) Percentage of splenic classical monocytes and red pulp macrophages with high expression of IκBα (n = 7 for Cgas −/− BM mice, n = 6 for dKO BM mice). (F) Fold change of p-RelA mean fluorescence intensity (MFI) of classical monocytes and red pulp macrophages in instantly fixed spleens from Cgas −/− BM (n = 7) and dKO BM (n = 6) mice. Individual fold change values were calculated as ΔMFI i = (MFI i , untreated – MFI i , λPP ) divided by the average of ΔMFI i values obtained from dKO BM mice. (G) Histograms display representative results for IκBα staining of gated classical monocytes and red pulp macrophages. Data in bar graphs are represented as mean + SEM. Data in (E-G) are pooled from two independent experiments. Statistically significant differences were determined by two-tailed unpaired Mann-Whitney U test ( ∗ p < 0.05, ∗∗ p < 0.01). See also <xref ref-type=Figure S2 . " width="250" height="auto" />
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Delivery of cGAMP from radioresistant cells to immune cells induces tonic IFN and NF-κB signaling in Trex1 deficiency (A) Global gene expression analysis by 3′-mRNA seq. Gene and sample-wise hierarchical clustering based on differentially expressed genes (non-adjusted p value <0.05, n = 660) within the dataset of spleen tissue from Cgas −/− BM and dKO BM mice. Gene expression values are Z score standardized. For visualization purposes Z scores were limited to numbers between −2 and 2. (B) PCA plot of spleen tissue data from Cgas −/− BM and dKO BM mice. PCA is based on differentially expressed genes (non-adjusted p value <0.05, n = 684). (C) Volcano plot indicating transcriptomic changes between Cgas −/− BM and dKO BM mice. Genes with a non-adjusted p value <0.05 and a signed fold change >2 are colored in red (upregulated in Cgas −/− KO BM mice) and blue (upregulated in dKO BM mice). Differentially expressed genes with an adjusted p value < 0.05 are labeled. (D) Normalized Enrichment Scores (NES) of Hallmark gene sets significantly upregulated (FDR q value <0.01) in spleen tissue from Cgas −/− BM mice compared with that from dKO BM mice in a pre-ranked Gene Set Enrichment Analysis <t>(GSEA)</t> based on a metric score calculated by log 2 (fold change) x (-log 10 (p value)). n = 5 mice per group. (E) Percentage of splenic classical monocytes and red pulp macrophages with high expression of IκBα (n = 7 for Cgas −/− BM mice, n = 6 for dKO BM mice). (F) Fold change of p-RelA mean fluorescence intensity (MFI) of classical monocytes and red pulp macrophages in instantly fixed spleens from Cgas −/− BM (n = 7) and dKO BM (n = 6) mice. Individual fold change values were calculated as ΔMFI i = (MFI i , untreated – MFI i , λPP ) divided by the average of ΔMFI i values obtained from dKO BM mice. (G) Histograms display representative results for IκBα staining of gated classical monocytes and red pulp macrophages. Data in bar graphs are represented as mean + SEM. Data in (E-G) are pooled from two independent experiments. Statistically significant differences were determined by two-tailed unpaired Mann-Whitney U test ( ∗ p < 0.05, ∗∗ p < 0.01). See also <xref ref-type=Figure S2 . " width="250" height="auto" />
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Broad Institute Inc gene set enrichment analysis (gsea) java gsea desktop application version 4.1.0
The <t>GSEA</t> results show enriched gene subsets in KEGG pathway with senescence related gene subsets. The data demonstrate FDR value (<0.25) in KEGG pathway at least significance in one experiment group. Side bar in left shows categories of gene subsets.
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Significantly enriched gene sets (FDR < 0.05) in ICM and TE transcriptomes of in vitro-developed blastocysts with HI compared to CNTRL. Significantly enriched gene sets were identified by GSEA with the Molecular Signature Database (MSigDB) gene set collections: Hallmarks, KEGG, Reactome, and GO BP. GSEA was followed by SUMER analysis for gene set condensation. ( A ). Pie charts showing the enriched gene sets in HI ICM versus CNTRL ICM. ( B ). Pie charts showing the enriched gene sets in HI TE versus CNTRL TE. ICM, inner cell mass. TE, trophectoderm.

Journal: Cells

Article Title: Identification of the Inner Cell Mass and the Trophectoderm Responses after an In Vitro Exposure to Glucose and Insulin during the Preimplantation Period in the Rabbit Embryo

doi: 10.3390/cells11233766

Figure Lengend Snippet: Significantly enriched gene sets (FDR < 0.05) in ICM and TE transcriptomes of in vitro-developed blastocysts with HI compared to CNTRL. Significantly enriched gene sets were identified by GSEA with the Molecular Signature Database (MSigDB) gene set collections: Hallmarks, KEGG, Reactome, and GO BP. GSEA was followed by SUMER analysis for gene set condensation. ( A ). Pie charts showing the enriched gene sets in HI ICM versus CNTRL ICM. ( B ). Pie charts showing the enriched gene sets in HI TE versus CNTRL TE. ICM, inner cell mass. TE, trophectoderm.

Article Snippet: Gene Set Enrichment Analysis (GSEA) [ ] was performed using the GSEA Java Desktop application (v4.0.3) from the Broad Institute.

Techniques: In Vitro

Significantly enriched gene sets (FDR < 0.05) in ICM and TE transcriptomes of in vitro-developed blastocysts with HG compared to CNTRL. Significantly enriched gene sets were identified by GSEA with the Molecular Signature Database (MSigDB) gene set collections: Hallmarks, KEGG, Reactome, and GO BP. GSEA was followed by SUMER analysis for gene set condensation. ( A ). Pie charts showing the enriched gene sets in HG ICM versus CNTRL ICM. ( B ). Pie charts showing the enriched gene sets in HG TE versus CNTRL TE. ICM, inner cell mass. TE, trophectoderm.

Journal: Cells

Article Title: Identification of the Inner Cell Mass and the Trophectoderm Responses after an In Vitro Exposure to Glucose and Insulin during the Preimplantation Period in the Rabbit Embryo

doi: 10.3390/cells11233766

Figure Lengend Snippet: Significantly enriched gene sets (FDR < 0.05) in ICM and TE transcriptomes of in vitro-developed blastocysts with HG compared to CNTRL. Significantly enriched gene sets were identified by GSEA with the Molecular Signature Database (MSigDB) gene set collections: Hallmarks, KEGG, Reactome, and GO BP. GSEA was followed by SUMER analysis for gene set condensation. ( A ). Pie charts showing the enriched gene sets in HG ICM versus CNTRL ICM. ( B ). Pie charts showing the enriched gene sets in HG TE versus CNTRL TE. ICM, inner cell mass. TE, trophectoderm.

Article Snippet: Gene Set Enrichment Analysis (GSEA) [ ] was performed using the GSEA Java Desktop application (v4.0.3) from the Broad Institute.

Techniques: In Vitro

Significantly enriched gene sets (FDR < 0.05) in the ICM and TE transcriptomes of in vitro-developed blastocysts with HGI compared to CNTRL. Significantly enriched gene sets were identified by GSEA with the Molecular Signature Database (MSigDB) gene set collections: Hallmarks, KEGG, Reactome, and GO BP. GSEA was followed by SUMER analysis for gene set condensation. ( A ). Pie charts showing the enriched gene sets in HGI ICM versus CNTRL ICM. ( B ). Pie charts showing the enriched gene sets in HGI TE versus CNTRL TE. ICM, inner cell mass. TE, trophectoderm.

Journal: Cells

Article Title: Identification of the Inner Cell Mass and the Trophectoderm Responses after an In Vitro Exposure to Glucose and Insulin during the Preimplantation Period in the Rabbit Embryo

doi: 10.3390/cells11233766

Figure Lengend Snippet: Significantly enriched gene sets (FDR < 0.05) in the ICM and TE transcriptomes of in vitro-developed blastocysts with HGI compared to CNTRL. Significantly enriched gene sets were identified by GSEA with the Molecular Signature Database (MSigDB) gene set collections: Hallmarks, KEGG, Reactome, and GO BP. GSEA was followed by SUMER analysis for gene set condensation. ( A ). Pie charts showing the enriched gene sets in HGI ICM versus CNTRL ICM. ( B ). Pie charts showing the enriched gene sets in HGI TE versus CNTRL TE. ICM, inner cell mass. TE, trophectoderm.

Article Snippet: Gene Set Enrichment Analysis (GSEA) [ ] was performed using the GSEA Java Desktop application (v4.0.3) from the Broad Institute.

Techniques: In Vitro

Searching for the potential biological processes associated with low expression of MAT1A and GNMT . ( A ) MAT1A and GNMT expressions in paired tumor and adjacent normal tissues in the HCC cases ( n = 42). ( B ) Pearson’s correlation for MAT1A and GNMT expression in the 42 HCC cases. ( C ) Flow chart for searching the candidate biological processes that could be driven by low expression of MAT1A and GNMT ; GSEA was used to process the 42 HCC RNA-seq data. REACTOME_TRANSLATION gene set was found to be significantly enriched in HCC with low MAT1A. The median of mRNA expression level was used as the cutoff point for the dichotomization of MAT1A and GNMT. A score greater than median was defined as “high” expression, whereas a score of less than or equal to median was defined as “low” expression, and the categories further were mapped into GSEA databases. ( D ) and in HCC with low GNMT ( E ). ( F ) Heatmaps of the REACTOME_ TRANSLATION enrichment genes in HCC with high and low MAT1A and GNMT categories ( G ) A total of 71 overlapped genes of the REACTOME_ TRANSLATION gene set that are enriched in both low MAT1A and low GNMT HCC samples.

Journal: International Journal of Molecular Sciences

Article Title: Downregulation of Methionine Cycle Genes MAT1A and GNMT Enriches Protein-Associated Translation Process and Worsens Hepatocellular Carcinoma Prognosis

doi: 10.3390/ijms23010481

Figure Lengend Snippet: Searching for the potential biological processes associated with low expression of MAT1A and GNMT . ( A ) MAT1A and GNMT expressions in paired tumor and adjacent normal tissues in the HCC cases ( n = 42). ( B ) Pearson’s correlation for MAT1A and GNMT expression in the 42 HCC cases. ( C ) Flow chart for searching the candidate biological processes that could be driven by low expression of MAT1A and GNMT ; GSEA was used to process the 42 HCC RNA-seq data. REACTOME_TRANSLATION gene set was found to be significantly enriched in HCC with low MAT1A. The median of mRNA expression level was used as the cutoff point for the dichotomization of MAT1A and GNMT. A score greater than median was defined as “high” expression, whereas a score of less than or equal to median was defined as “low” expression, and the categories further were mapped into GSEA databases. ( D ) and in HCC with low GNMT ( E ). ( F ) Heatmaps of the REACTOME_ TRANSLATION enrichment genes in HCC with high and low MAT1A and GNMT categories ( G ) A total of 71 overlapped genes of the REACTOME_ TRANSLATION gene set that are enriched in both low MAT1A and low GNMT HCC samples.

Article Snippet: This was performed using java GSEA Desktop Application from the Broad Institute at MIT.

Techniques: Expressing, RNA Sequencing

Delivery of cGAMP from radioresistant cells to immune cells induces tonic IFN and NF-κB signaling in Trex1 deficiency (A) Global gene expression analysis by 3′-mRNA seq. Gene and sample-wise hierarchical clustering based on differentially expressed genes (non-adjusted p value <0.05, n = 660) within the dataset of spleen tissue from Cgas −/− BM and dKO BM mice. Gene expression values are Z score standardized. For visualization purposes Z scores were limited to numbers between −2 and 2. (B) PCA plot of spleen tissue data from Cgas −/− BM and dKO BM mice. PCA is based on differentially expressed genes (non-adjusted p value <0.05, n = 684). (C) Volcano plot indicating transcriptomic changes between Cgas −/− BM and dKO BM mice. Genes with a non-adjusted p value <0.05 and a signed fold change >2 are colored in red (upregulated in Cgas −/− KO BM mice) and blue (upregulated in dKO BM mice). Differentially expressed genes with an adjusted p value < 0.05 are labeled. (D) Normalized Enrichment Scores (NES) of Hallmark gene sets significantly upregulated (FDR q value <0.01) in spleen tissue from Cgas −/− BM mice compared with that from dKO BM mice in a pre-ranked Gene Set Enrichment Analysis (GSEA) based on a metric score calculated by log 2 (fold change) x (-log 10 (p value)). n = 5 mice per group. (E) Percentage of splenic classical monocytes and red pulp macrophages with high expression of IκBα (n = 7 for Cgas −/− BM mice, n = 6 for dKO BM mice). (F) Fold change of p-RelA mean fluorescence intensity (MFI) of classical monocytes and red pulp macrophages in instantly fixed spleens from Cgas −/− BM (n = 7) and dKO BM (n = 6) mice. Individual fold change values were calculated as ΔMFI i = (MFI i , untreated – MFI i , λPP ) divided by the average of ΔMFI i values obtained from dKO BM mice. (G) Histograms display representative results for IκBα staining of gated classical monocytes and red pulp macrophages. Data in bar graphs are represented as mean + SEM. Data in (E-G) are pooled from two independent experiments. Statistically significant differences were determined by two-tailed unpaired Mann-Whitney U test ( ∗ p < 0.05, ∗∗ p < 0.01). See also <xref ref-type=Figure S2 . " width="100%" height="100%">

Journal: iScience

Article Title: Intercellular cGAMP transmission induces innate immune activation and tissue inflammation in Trex1 deficiency

doi: 10.1016/j.isci.2021.102833

Figure Lengend Snippet: Delivery of cGAMP from radioresistant cells to immune cells induces tonic IFN and NF-κB signaling in Trex1 deficiency (A) Global gene expression analysis by 3′-mRNA seq. Gene and sample-wise hierarchical clustering based on differentially expressed genes (non-adjusted p value <0.05, n = 660) within the dataset of spleen tissue from Cgas −/− BM and dKO BM mice. Gene expression values are Z score standardized. For visualization purposes Z scores were limited to numbers between −2 and 2. (B) PCA plot of spleen tissue data from Cgas −/− BM and dKO BM mice. PCA is based on differentially expressed genes (non-adjusted p value <0.05, n = 684). (C) Volcano plot indicating transcriptomic changes between Cgas −/− BM and dKO BM mice. Genes with a non-adjusted p value <0.05 and a signed fold change >2 are colored in red (upregulated in Cgas −/− KO BM mice) and blue (upregulated in dKO BM mice). Differentially expressed genes with an adjusted p value < 0.05 are labeled. (D) Normalized Enrichment Scores (NES) of Hallmark gene sets significantly upregulated (FDR q value <0.01) in spleen tissue from Cgas −/− BM mice compared with that from dKO BM mice in a pre-ranked Gene Set Enrichment Analysis (GSEA) based on a metric score calculated by log 2 (fold change) x (-log 10 (p value)). n = 5 mice per group. (E) Percentage of splenic classical monocytes and red pulp macrophages with high expression of IκBα (n = 7 for Cgas −/− BM mice, n = 6 for dKO BM mice). (F) Fold change of p-RelA mean fluorescence intensity (MFI) of classical monocytes and red pulp macrophages in instantly fixed spleens from Cgas −/− BM (n = 7) and dKO BM (n = 6) mice. Individual fold change values were calculated as ΔMFI i = (MFI i , untreated – MFI i , λPP ) divided by the average of ΔMFI i values obtained from dKO BM mice. (G) Histograms display representative results for IκBα staining of gated classical monocytes and red pulp macrophages. Data in bar graphs are represented as mean + SEM. Data in (E-G) are pooled from two independent experiments. Statistically significant differences were determined by two-tailed unpaired Mann-Whitney U test ( ∗ p < 0.05, ∗∗ p < 0.01). See also Figure S2 .

Article Snippet: For gene set enrichment analysis (GSEA) a pre-ranked list was generated based on a metric score calculated by: l o g 2 ( f o l d c h a n g e ) x ( − l o g 10 ( p v a l u e ) ) and applied to the GSEA java desktop application (version 4.0.3) provided by the Broad Institute ( ).

Techniques: Gene Expression, Labeling, Expressing, Fluorescence, Staining, Two Tailed Test, MANN-WHITNEY

The GSEA results show enriched gene subsets in KEGG pathway with senescence related gene subsets. The data demonstrate FDR value (<0.25) in KEGG pathway at least significance in one experiment group. Side bar in left shows categories of gene subsets.

Journal: Vaccines

Article Title: A Senescence-Like Cellular Response Inhibits Bovine Ephemeral Fever Virus Proliferation

doi: 10.3390/vaccines9060601

Figure Lengend Snippet: The GSEA results show enriched gene subsets in KEGG pathway with senescence related gene subsets. The data demonstrate FDR value (<0.25) in KEGG pathway at least significance in one experiment group. Side bar in left shows categories of gene subsets.

Article Snippet: To evaluate the biological pathways altered between BEFV-infected BHK-21 cell and mock-infected BHK-21, the Gene Set Enrichment Analysis (GSEA) (Broad Institute, Cambridge, MA, USA, java GSEA Desktop Application version 4.1.0) [ , ] tool was employed.

Techniques: