LipidSig 2.0: Integrating Lipid Characteristic Insights into Advanced Lipidomics Data Analysis

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  • LipidSigR

Enrichment

Enrichment analysis on our platform provides two main approaches: ‘Over Representation Analysis (ORA)’ and ‘Lipid Set Enrichment Analysis (LSEA)’ . ORA analysis illustrates significant lipid species enriched in the categories of lipid class. LSEA analysis is a computational method determining whether an a priori-defined set of lipids shows statistically significant, concordant differences between two biological states (e.g., phenotypes).

Demo dataset source (two-group): Adipose tissue ATGL modifies the cardiac lipidome in pressure-overload-induced left Ventricular failure (PLoS Genet. 2018)
Demo dataset source (multi-group): Lipidomic and biophysical homeostasis of mammalian membranes counteracts dietary lipid perturbations to maintain cellular fitness (Nat Commun 11, 1339. 2020)

Data Source

Download example


Upload your data table in .csv/.tsv/.xlsx

How to prepare your dataset?
How to use this function?

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Result

  • Over Representation Analysis
  • Lipid set enrichment analysis

Over Representation Analysis

The Over-Representation analysis provides whether significant lipid species are enriched in the categories of lipid class. Results are presented in a summary bar plot, a detailed bar plot categorizing lipid species into 'up-regulated' or 'down-regulated' groups based on log2 fold change, and a table.

  • Configure your conditions by the control panel below, then click the 'Submit' button.
  • For input data preparation, please refer to FAQ. You can download inputs directly from the Differential expression analysis to ensure format accuracy.



The bar plot shows the top 10 significant up-regulated and down-regulated terms for datasets involving two groups and the top 20 for multiple groups.

  • Hover the mouse on a specific bar to view the corresponding detailed information.
  • For figure manipulation, please refer to FAQ.

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The bar plot classifies significant lipid species into 'up-regulated' or 'down-regulated' categories based on their log2 fold change, according to a selected characteristic. Red bars indicate up-regulated, blue bars represent down-regulated, and grey bars signify non-significant.

  • Select a characteristic of interest from the drop-down list above the plot.
  • Hover the mouse on a specific bar to view the corresponding detailed information.
  • For figure manipulation, please refer to FAQ.

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Lipid set enrichment analysis

Lipid Set Enrichment Analysis (LSEA) is a computational method determining whether an a priori-defined set of lipids shows statistically significant, concordant differences between two biological states (e.g., phenotypes). Results are presented in a summary bar plot, a detailed bar plot categorizing lipid species into 'up-regulated' or 'down-regulated' groups based on NES (Normalized Enrichment Score), and a table.

  • Configure your conditions by the control panel below, then click the 'Submit' button.
  • For input data preparation, please refer to FAQ. You can download inputs directly from the Differential expression analysis to ensure format accuracy.





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