Additional file 1 of Spatial metabolomics on liver cirrhosis to hepatocellular carcinoma progression
Creators: name: He, Michelle Junyi
name: Pu, Wenjun
name: Wang, Xi
name: Zhong, Xiaoni
name: Zhao, Dong
name: Zeng, Zhipeng
name: Cai, Wanxia
name: Liu, Jiayi
name: Huang, Jianrong
name: Tang, Donge
name: Dai, Yong
Publisher: name: figshare
Year: 2022
Subjects: subject: Biochemistry
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics
subject: Physiology
subject: Chemical Sciences not elsewhere classified
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Cancer
subject: Virology
subject: Computational Biology

description: Additional file 1: Figure S1. Total metabolite distributions in the HC, LC and HCC tissue samples. a HE and MSI diagrams of HC, LC and HCC whole samples under the negative ionization mode. b PLS-DA comparison of AFADESI-MSI data under the negative ionization mode. c, d Alterations of metabolites detected by AFADESI-MSI method in the HC, LC and HCC samples based on positive (c) and negative (d) ionization modes. e, f K-means diagrams of the HC, LC and HCC tissue samples based on positive (e) and negative (f) ionization modes. Figure S2. The alterations of metabolites’ spatial distributions in HCC sub-regions under negative ionization mode. a HE and MSI images of different sub-regions of HCC. b PLS-DA analysis of different HCC sub-regions. c Number of metabolites detected from different HCC sub-regions. d Heatmap of significantly differentiated metabolites based on VIP &gt; 1. e KEGG analysis of key altered metabolic pathways in the sub-regions of HCC. Figure S3. Metabolites’ spatial distributions in the non-cancerous regions (CV) in the HC, LC and HCC samples under negative ionization mode. a HE and MSI images of the CV regions in the HC, LC and HCC samples. b PLS-DA analysis for the CV regions. c Heatmap of significantly differentiated metabolites under positive ionization mode in the CV regions based on VIP &gt; 1. d KEGG analysis of key altered metabolic pathways in the CV regions. e Heatmap of significantly differentiated metabolites based on VIP &gt; 1 under negative ionization mode. f Sample time series analysis of the key metabolite expressions in the CV regions. Figure S4. Metabolites’ spatial distributions of the cancer-related regions in the HC, LC and HCC samples under negative ionization mode. a HE and MSI images (negative mode) of the cancer-related regions in the HC, LC and HCC samples. b PLS-DA analysis of the cancer-related regions. c Heatmap of significantly differentiated metabolites in the cancer-related regions based on variable VIP &gt; 1 under positive ionization mode. d Heatmap of significantly differentiated metabolites in the cancer-related regions based on variable VIP &gt; 1 under negative ionization mode. e KEGG analysis of key altered metabolic pathways in cancer-related regions. Figure S5. Metabolic changes in different tissues and its predictability of disease progression. a Sample time series analysis of key metabolite expressions (negative mode) in the cancer-related regions. b Examples of key metabolites’ spatial expressions in cancer-related regions under negative ion mode. c ROC analyses of key metabolites at distinguishing between diseased tissues and between different subregions (anabasine was detected under positive ionization mode, docosahexaenoic acid was detected under negative ionization mode).