Venndiagram

Manufactured by Posit

VennDiagram is a versatile lab equipment product designed to create visual representations of set relationships. It allows users to construct and manipulate Venn diagrams, a widely used tool in various fields of study. The core function of VennDiagram is to facilitate the analysis and comparison of data sets, enabling researchers and analysts to identify commonalities, differences, and relationships between multiple elements.

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Lab products found in correlation

Ggplot2, by Posit (1 mentions) Pheatmap, by Posit (1 mentions) Prism 7, by GraphPad (1 mentions)

2 protocols using venndiagram

Differential Gene Expression Analysis

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Differentially expressed genes of four tissues were filtered by the same criteria, which were 1.5-fold expression difference and p-value < 0.05. Volcano plot and heatmap were constructed by ggplot2 (v3.3.5, RStudio) and pheatmap (v1.0.12, RStudio), separately. Venn diagram was plotted by VennDiagram (v1.7.0, RStudio). Differentially expressed genes were further analyzed by Gene Ontology (GO) in terms of molecular function, cellular component, and biological process.

Wang M., Tan G., Jiang H., Liu A., Wu R., Li J., Sun Z., Lv Z., Sun W, & Shi D. (2022). Molecular crosstalk between articular cartilage, meniscus, synovium, and subchondral bone in osteoarthritis. Bone & Joint Research, 11(12), 862-872.

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Transcriptional Regulation in Adipose Tissue

Cited 1 time

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Values are presented as means ± SEM and expressed relative to the respective control group. Group differences were assessed by Student’s t test, one-way analysis of variance (ANOVA), or two-way ANOVA where appropriate followed by Tukey’s post hoc test. Data were tested for normality before the use of a parametric test. Venn diagrams were created using the VennDiagram package (version 1.6.20) in R Studio. Gene overlaps presented in Fig. 1KESR1/Esr1 by gene correlations were calculated in adipose tissue from METSIM, MyoGlu, and HMDP studies using the midweight bicorrelation function in the weighted gene correlation network analysis package (version 1.67) in R Studio; significant correlations were set a priori as P < 0.001. Statistical significance of overlap for Venn diagrams was determined for each pairwise overlap using the hypergeometric probability formula. The represent ation factor (RF) indicates the fold change in observed versus expected overlap (R package version 1.24.0) (72 (link)). Statistical significance was established a priori at P < 0.05 for all other comparisons (GraphPad Prism 7.0).

Zhou Z., Moore T.M., Drew B.G., Ribas V., Wanagat J., Civelek M., Segawa M., Wolf D.M., Norheim F., Seldin M.M., Strumwasser A.R., Whitney K.A., Lester E., Reddish B.R., Vergnes L., Reue K., Rajbhandari P., Tontonoz P., Lee J., Mahata S.K., Hewitt S.C., Shirihai O., Gastonbury C., Small K.S., Laakso M., Jensen J., Lee S., Drevon C.A., Korach K.S., Lusis A.J, & Hevener A.L. (2020). Estrogen receptor α controls metabolism in white and brown adipocytes by regulating Polg1 and mitochondrial remodeling. Science translational medicine, 12(555), eaax8096.

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