Functional analysis

 

Gene Set Enrichment Analysis results in Obesity.

 

DB

Obesity

IO

IOM

IOF

SDIO

GO: Biological Processes

2.962

2.719

1.808

31

GO: Cellular Components

309

313

159

7

GO: Molecular Functions

380

376

221

2

KEGG Pathways

202

193

136

0

Reactome Pathways

665

739

416

0

 

Focusing on the GO Biological Processes, we obtain the following results:

 

Functional analysis in Obesity (Dotplot).

 

Figure 1: Gene Set Enrichment Analysis Results for Biological Processes Gene Ontology in Obesity. Graphical summary of the critical functions obtained in the (A) IOM, (B) IOF. The color indicates the effect’s magnitude and direction, while transparency corresponds to the FDR (lower significance results in less opacity). The circle bar size represents the number of genes associated with each enriched term.

 

 

Functional analysis in Obesity (Dotplot).

 

Figure 2: Graphical summary of the critical functions obtained in the GSEA in Obesity in (A) IOM and (B) IOF comparison. BP GO terms were grouped based on distance using the REVIGO methodology. The top twenty groups with the highest number of associated significant BP GO terms are represented, along with the number of processes associated and the name assigned to each after analysis.The circle bar size represents the number of genes associated with each enriched term. IOM: impact of obesity in males; IOF: impact of obesity in females.

 

 

 

 

This table presents the results of the Gene Set Enrichment Analysis (GSEA) for GO ontologies, Reactome, and KEGG databases. You can filter by database using the “DataBase” column for specific categories:

  • BP: GO Biological Processes
  • CC: GO Cellular Components
  • MF: GO Molecular Functions
  • Reactome: Reactome pathways
  • KEGG: KEGG pathways

In the “core_enrichment” column, the ENTREZ IDs for all genes associated with each ontology are listed. To view all related genes, hover over the specific cell.

For more information, visit the specific website linked in the “DBLink” column.

 

 

Contrast: Ob - C

 

 

 

 

Contrast: Ob.M - C.M

 

 

 

 

Contrast: Ob.F - C.F

 

 

 

 

Contrast: (Ob.M - C.M) - (Ob.F - C.F)

 

 

 

Gene Set Enrichment Analysis results in T2D.

 

 

DB

T2D

ID

IDM

IDF

SDID

GO: Biological Processes

756

792

536

48

GO: Cellular Components

85

97

50

10

GO: Molecular Functions

92

105

68

0

KEGG Pathways

73

89

41

4

Reactome Pathways

136

91

73

4

 

Focusing on the GO Biological Processes, we obtain the following results:

 

Functional analysis in Obesity (Dotplot).

 

Figure 3: Gene Set Enrichment Analysis Results for Biological Processes Gene Ontology in T2D The processes identified in GSEA for Obesity have been ordered based on logOR; dot plots represent the top five over- and under-expressed terms per comparison. IDM: impact of T2D in males; IDF: impact of T2D in females.

 

 

Functional analysis in Obesity (Dotplot).

 

Figure 4: Graphical summary of the critical functions obtained in the GSEA in T2D in (A) IDM and (B) IDF comparison. BP GO terms were grouped based on distance using the REVIGO methodology. The top twenty groups with the highest number of associated significant BP GO terms are represented, along with the number of processes associated and the name assigned to each after analysis.The circle bar size represents the number of genes associated with each enriched term. IDM: impact of T2D in males; IDF: impact of T2D in females.

 

 

 

This table presents the results of the Gene Set Enrichment Analysis (GSEA) for GO ontologies, Reactome, and KEGG databases. You can filter by database using the “DataBase” column for specific categories:

  • BP: GO Biological Processes
  • CC: GO Cellular Components
  • MF: GO Molecular Functions
  • Reactome: Reactome pathways
  • KEGG: KEGG pathways

In the “core_enrichment” column, the ENTREZ IDs for all genes associated with each ontology are listed. To view all related genes, hover over the specific cell.

For more information, visit the specific website linked in the “DBLink” column.

 

 

Contrast: T2D - Ob

 

 

 

 

Contrast: T2D.M - Ob.M

 

 

 

 

Contrast: T2D.F - Ob.F

 

 

 

 

Contrast: (T2D.M - Ob.M) - (T2D.F - Ob.F)