Summary of Study ST002121

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001346. The data can be accessed directly via it's Project DOI: 10.21228/M8QX47 This work is supported by NIH grant, U2C- DK119886.

See: https://www.metabolomicsworkbench.org/about/howtocite.php

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Study IDST002121
Study TitleFunctional metabolic molecule were identified as novel therapeutic targets to facilitate gemcitabine treatment against pancreatic cancer (Tumor tissues metabolomics)
Study SummaryWith the development of frontier technologies in system biology, traditional omics-drove phenotypic studies are insufficient to decipher the diseases. Therefore, for a thorough understanding of the molecular mechanisms of diseases to investigate novel drug targets, traditional phenotypic studies must be broken through to the functional exploration of molecules. Meanwhile, the intuitive role of small molecule compounds (metabolites) in pathogenesis, precision diagnosis and therapy are gradually recognized compared to macromolecules such as DNA, RNA and proteins. Therefore, we pioneeringly proposed Spatial Temporal Operative Real Metabolomics (STORM) strategy that established a relationship between metabolic phenotypes and functions to accurately character abnormal metabolisms and further identify operative functional molecules as novel therapeutic targets. Here, given the difficulty of pancreatic cancer (PC) treatment and the high resistance of clinical drugs, we were committed to explore new targets and drugs of pancreatic cancer from a small molecular functional perspective via STORM strategy. Fortunately, based on targeted metabolomics, we found that gemcitabine, one of the most effective clinical anti-PC drugs, served as a dual modulator that promote the accumulation of functional metabolic molecules in purine metabolism to activate down-streamed kinases. And the quantitative consequences of related enzymes annotated the unique molecular mechanisms of purine metabolism regulations by gemcitabine. Collectively, we broadened the cognitions of gemcitabine in tumor inhibition, providing potential strategies for treating PC with small molecules modification. Even more importantly, with the integration of multiple frontier technologies, the STORM strategy has proven to be well adapted to the phenotypic era of functional molecules devoted to innovate molecule mechanism annotation and therapeutic discovery.
Institute
Shanghai Center for Systems Biomedicine, Shanghai Jiaotong University
Last NameLu
First NameHaitao
Address800 Dongchuan RD. Minhang District, Shanghai,
Emailhaitao_lu@sjtu.edu.cn
Phone15221478139
Submit Date2022-03-25
Raw Data AvailableYes
Raw Data File Type(s)d
Analysis Type DetailLC-MS
Release Date2022-04-20
Release Version1
Haitao Lu Haitao Lu
https://dx.doi.org/10.21228/M8QX47
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Combined analysis:

Analysis ID AN003472 AN003473
Analysis type MS MS
Chromatography type Reversed phase Reversed phase
Chromatography system Agilent 1290 Infinity Agilent 1290 Infinity
Column Waters Acquity HSS T3 column (100 mm×2.1, 1.8 μm) Waters Acquity HSS T3 column (100 mm×2.1, 1.8 μm)
MS Type ESI ESI
MS instrument type Triple quadrupole Triple quadrupole
MS instrument name Agilent 6495 QQQ Agilent 6495 QQQ
Ion Mode POSITIVE NEGATIVE
Units counts counts
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