Summary of Study ST002454
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 PR001582. The data can be accessed directly via it's Project DOI: 10.21228/M86Q7N This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.
| Study ID | ST002454 |
| Study Title | Bloody Mary (BM21)- Serial mixtures of vegetable juice /water and human plasma. |
| Study Summary | Metabolomics holds the promise to measure and quantify small molecules comprehensively in biological systems, and LC-MS (liquid chromatography coupled mass spectrometry) has become the leading technology in the field. Significant challenges still exist in the computational processing of data from LC-MS metabolomic experiments into metabolite features, including provenance and reproducibility of the current software tools. We present here, an experiment designed as serial mixtures of vegetable juice/Water and human plasma at varying ratios, nicknamed “Bloody Mary 21(BM21) to test semi-quantification at –omics scale. A subset of features are expected to have their peak areas correlated with the mixing ratio. This dataset provides an opportunity to be used as benchmark to assess the performance in quantification of processing softwares. Overall, the BM21 experiment included a serial mixture of human plasma (Qstd) and vegetable juice (or water), at the ratio of 1024:1, 256:1, 64:1, 16:1, 4:1, 1:1, 1:4, 1:16, 1:64, 1:256 and 1:1024. Along with the 11 serial mixture samples, 100% vegetable juice and 100% plasma were also included. All samples were analyzed in triplicates. |
| Institute | The Jackson Laboratory for Genomic Medicine |
| Laboratory | Shuzhao Li Lab |
| Last Name | Siddiqa |
| First Name | Amnah |
| Address | 10 Discovery Dr, Farmington, CT 06032 |
| amnah.siddiqa@jax.org | |
| Phone | 404-9187223 |
| Submit Date | 2022-06-27 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | raw(Thermo) |
| Analysis Type Detail | LC-MS |
| Release Date | 2023-02-01 |
| Release Version | 1 |
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Treatment:
| Treatment ID: | TR002555 |
| Treatment Summary: | None |
