Skip to content

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#protein folding Dataset Open access Sep 2026

Processed transcriptomic and proteomic datasets supporting the multi-omics analysis in the manuscript

This dataset contains processed transcriptomic and proteomic data generated from inguinal white adipose tissue collected from control mice, obesity-associated PCOS model mice, and PCOS mice treated with high-dose Atractylodis Rhizoma-derived exosome-like nanovesicles (AR-ELNs). These data support the multi-omics analyses presented in the associated manuscript and were used to characterize adipose metabolic-endocrine remodeling, with particular focus on kynurenine pathway activation and AhR/AR-related gene and protein programs in obesity-associated PCOS. The dataset includes processed RNA-seq differential expression tables and quantitative proteomics differential expression tables for the following comparisons: PCOS_vs_CTRL_iWAT_RNAseq_DEG_all_genes.xlsx Gene-level differential expression results comparing inguinal white adipose tissue from obesity-associated PCOS model mice with control mice. PCOS_H-ELNs_vs_PCOS_iWAT_RNAseq_DEG_all_genes.xlsx Gene-level differential expression results comparing inguinal white adipose tissue from PCOS mice treated with high-dose AR-ELNs with untreated PCOS model mice. PCOS_vs_CTRL_iWAT_Proteomics_DEP_all_proteins.xlsx Protein-level differential expression results comparing inguinal white adipose tissue from obesity-associated PCOS model mice with control mice. PCOS_H-ELNs_vs_PCOS_iWAT_Proteomics_DEP_all_proteins.xlsx Protein-level differential expression results comparing inguinal white adipose tissue from PCOS mice treated with high-dose AR-ELNs with untreated PCOS model mice. These processed datasets include gene- or protein-level identifiers, expression or abundance changes, fold-change values, statistical significance values, and annotation fields used for downstream pathway enrichment, integrated transcriptomic-proteomic analysis, and candidate pathway selection. The data are provided to support transparency and reproducibility of the multi-omics analyses reported in the manuscript.

Linxia Li · 0 citations
#protein folding Dataset Open access Sep 2026

Processed transcriptomic and proteomic datasets supporting the multi-omics analysis in the manuscript

This dataset contains processed transcriptomic and proteomic data generated from inguinal white adipose tissue collected from control mice, obesity-associated PCOS model mice, and PCOS mice treated with high-dose Atractylodis Rhizoma-derived exosome-like nanovesicles (AR-ELNs). These data support the multi-omics analyses presented in the associated manuscript and were used to characterize adipose metabolic-endocrine remodeling, with particular focus on kynurenine pathway activation and AhR/AR-related gene and protein programs in obesity-associated PCOS. The dataset includes processed RNA-seq differential expression tables and quantitative proteomics differential expression tables for the following comparisons: PCOS_vs_CTRL_iWAT_RNAseq_DEG_all_genes.xlsx Gene-level differential expression results comparing inguinal white adipose tissue from obesity-associated PCOS model mice with control mice. PCOS_H-ELNs_vs_PCOS_iWAT_RNAseq_DEG_all_genes.xlsx Gene-level differential expression results comparing inguinal white adipose tissue from PCOS mice treated with high-dose AR-ELNs with untreated PCOS model mice. PCOS_vs_CTRL_iWAT_Proteomics_DEP_all_proteins.xlsx Protein-level differential expression results comparing inguinal white adipose tissue from obesity-associated PCOS model mice with control mice. PCOS_H-ELNs_vs_PCOS_iWAT_Proteomics_DEP_all_proteins.xlsx Protein-level differential expression results comparing inguinal white adipose tissue from PCOS mice treated with high-dose AR-ELNs with untreated PCOS model mice. These processed datasets include gene- or protein-level identifiers, expression or abundance changes, fold-change values, statistical significance values, and annotation fields used for downstream pathway enrichment, integrated transcriptomic-proteomic analysis, and candidate pathway selection. The data are provided to support transparency and reproducibility of the multi-omics analyses reported in the manuscript.

Linxia Li · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.