Summary of project PR001405
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 PR001405. The data can be accessed directly via it's Project DOI: 10.21228/M83T37 This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
Project ID: | PR001405 |
Project DOI: | doi: 10.21228/M83T37 |
Project Title: | Metabolic profiling of induced acute pancreatitis and pancreatic cancer progression in a mutant Kras mouse model |
Project Type: | NMR-based metabolomics |
Project Summary: | Untargeted Nuclear Magnetic Resonance (NMR) metabolomics of polar extracts from the pancreata of a caerulin-induced mouse model of pancreatitis (Pt) and of a transgenic mouse model of pancreatic cancer (PCa) were used to find metabolic markers of Pt and to characterize the metabolic changes accompanying PCa progression. Using multivariate analysis a 10-metabolite metabolic signature specific to Pt tissue was found to distinguish the benign condition from both normal tissue and precancerous tissue (low grade pancreatic intraepithelial neoplasia, PanIN, lesions). |
Institute: | University of Aveiro |
Department: | Department of Chemistry and CICECO-Aveiro Institute of Materials |
Laboratory: | Metabolomics from Ana M. Gil |
Last Name: | Carneiro |
First Name: | Tatiana J. |
Address: | Campus Universitário de Santiago, Aveiro, Aveiro, 3810-193, Portugal |
Email: | tatiana.joao@ua.pt |
Phone: | +351 234 370 200 |
Summary of all studies in project PR001405
Study ID | Study Title | Species | Institute | Analysis(* : Contains Untargted data) | Release Date | Version | Samples | Download(* : Contains raw data) |
---|---|---|---|---|---|---|---|---|
ST002202 | Metabolic profiling of induced acute pancreatitis and pancreatic cancer progression in a mutant Kras mouse model | Mus musculus | University of Aveiro | NMR* | 2022-09-14 | 1 | 40 | Uploaded data (37M)* |