ms data filtration and extraction software Search Results


86
Human Metabolome Technologies America data base hmdb web tool
A Workflow of untargeted metabolomics upon EXT2 knockdown in irradiated DD-T4 and U-251MG cells. B Differential impact of the treatment groups on the metabolome of DD-T4 and U-251MG GBM models determined by Partial Least-Squares Discriminant Analysis (PLSDA) using MetaboAnalyst.ca web tool. C Filtration of LC-MS/MS analytical features for metabolite identification using Human Metabolome Data Base <t>(HMDB)</t> web tool. D Categorization of metabolite content by <t>HMDB</t> and determination of changes in metabolite abundance upon EXT2 depletion and irradiation. Numbers in column graph indicate significantly altered metabolites in the respective color-coded metabolite category. Data are visualized as mean ( n = 4) of the fold change (relative to siC/IR). Significant alterations were determined by t -test with p < 0.05. E Identified deregulated metabolic pathways upon EXT2 knockdown and irradiation obtained from KEGG and Small Molecule Pathway Database (SMPDB) database analyses. The impact is quantified as a percentage of significant up- and down-regulated metabolites. F Overlap of significantly altered metabolites, shown in D in DD-T4 and U-251MG models. G SAM metabolite abundance in unirradiated and irradiated EXT2-depleted cell cultures. H Mapping of metabolites involved in SAM metabolism altered upon EXT2 knockdown identified from untargeted metabolomics. Color code: red, upregulated; blue, down-regulated; green, not changed; black, metabolite not found. Metabolite abundance indicates peak intensity value ( n = 4; one-way ANOVA; ** p < 0.01; *** p < 0.005).
Data Base Hmdb Web Tool, supplied by Human Metabolome Technologies America, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/ms+data+filtration+and+extraction+software/base+data+hmdb+tool+web/pmc12432244-94-12-10
Average 86 stars, based on 1 article reviews
data base hmdb web tool - by Bioz Stars, 2026-10
86/100 stars
  Buy from Supplier

N/A
This locus is frequently mutated in hereditary nonpolyposis colon cancer (HNPCC). When cloned, it was discovered to be a human homolog of the E. coli mismatch repair gene mutS, consistent with the characteristic alterations in
  Buy from Supplier

N/A
The protein encoded by this gene is a key component of the mismatch repair system that functions to correct DNA mismatches and small insertions and deletions that can occur during DNA replication and homologous recombination.
  Buy from Supplier

Image Search Results


A Workflow of untargeted metabolomics upon EXT2 knockdown in irradiated DD-T4 and U-251MG cells. B Differential impact of the treatment groups on the metabolome of DD-T4 and U-251MG GBM models determined by Partial Least-Squares Discriminant Analysis (PLSDA) using MetaboAnalyst.ca web tool. C Filtration of LC-MS/MS analytical features for metabolite identification using Human Metabolome Data Base (HMDB) web tool. D Categorization of metabolite content by HMDB and determination of changes in metabolite abundance upon EXT2 depletion and irradiation. Numbers in column graph indicate significantly altered metabolites in the respective color-coded metabolite category. Data are visualized as mean ( n = 4) of the fold change (relative to siC/IR). Significant alterations were determined by t -test with p < 0.05. E Identified deregulated metabolic pathways upon EXT2 knockdown and irradiation obtained from KEGG and Small Molecule Pathway Database (SMPDB) database analyses. The impact is quantified as a percentage of significant up- and down-regulated metabolites. F Overlap of significantly altered metabolites, shown in D in DD-T4 and U-251MG models. G SAM metabolite abundance in unirradiated and irradiated EXT2-depleted cell cultures. H Mapping of metabolites involved in SAM metabolism altered upon EXT2 knockdown identified from untargeted metabolomics. Color code: red, upregulated; blue, down-regulated; green, not changed; black, metabolite not found. Metabolite abundance indicates peak intensity value ( n = 4; one-way ANOVA; ** p < 0.01; *** p < 0.005).

Journal: Cell Death and Differentiation

Article Title: A novel role of exostosin glycosyltransferase 2 (EXT2) in glioblastoma cell metabolism, radiosensitivity and ferroptosis

doi: 10.1038/s41418-025-01503-w

Figure Lengend Snippet: A Workflow of untargeted metabolomics upon EXT2 knockdown in irradiated DD-T4 and U-251MG cells. B Differential impact of the treatment groups on the metabolome of DD-T4 and U-251MG GBM models determined by Partial Least-Squares Discriminant Analysis (PLSDA) using MetaboAnalyst.ca web tool. C Filtration of LC-MS/MS analytical features for metabolite identification using Human Metabolome Data Base (HMDB) web tool. D Categorization of metabolite content by HMDB and determination of changes in metabolite abundance upon EXT2 depletion and irradiation. Numbers in column graph indicate significantly altered metabolites in the respective color-coded metabolite category. Data are visualized as mean ( n = 4) of the fold change (relative to siC/IR). Significant alterations were determined by t -test with p < 0.05. E Identified deregulated metabolic pathways upon EXT2 knockdown and irradiation obtained from KEGG and Small Molecule Pathway Database (SMPDB) database analyses. The impact is quantified as a percentage of significant up- and down-regulated metabolites. F Overlap of significantly altered metabolites, shown in D in DD-T4 and U-251MG models. G SAM metabolite abundance in unirradiated and irradiated EXT2-depleted cell cultures. H Mapping of metabolites involved in SAM metabolism altered upon EXT2 knockdown identified from untargeted metabolomics. Color code: red, upregulated; blue, down-regulated; green, not changed; black, metabolite not found. Metabolite abundance indicates peak intensity value ( n = 4; one-way ANOVA; ** p < 0.01; *** p < 0.005).

Article Snippet: C Filtration of LC-MS/MS analytical features for metabolite identification using Human Metabolome Data Base (HMDB) web tool.

Techniques: Knockdown, Irradiation, Filtration, Liquid Chromatography with Mass Spectroscopy