Long-Term Metabolomics Reference Material.
Long-Term Metabolomics Reference Material.
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DOI：
10.1021/acs.analchem.1c01294
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发表时间：
2021-07-06
影响因子：
7.4
通讯作者：
McIntyre LM
中科院分区：
文献类型：
--
作者：
Gouveia GJ;Shaver AO;Garcia BM;Morse AM;Andersen EC;Edison AS;McIntyre LM
在代谢组学中使用质量控制样品可确保研究、分析平台和实验室之间的数据质量、重现性和可比性。长期、稳定和可持续的参考物质（RM）是质量保证/质量控制（QA/QC）系统的关键组成部分;然而，目前可用的基质匹配RM的选择有限，降低了其广泛使用的适用性。为了在任何情况下产生RM，对于任何对随时间推移的变化具有鲁棒性的矩阵，我们开发了迭代批量平均方法（IBAT）。为了说明这种方法，我们产生了11个独立生长的大肠杆菌批次，并在10次IBAT迭代过程中进行了RM。我们通过核磁共振（NMR）测量了这些材料的方差，并表明IBAT随着时间的推移产生了稳定和可持续的RM。这个E。然后将大肠杆菌RM用作食物源以产生用于代谢组学实验的秀丽隐杆线虫RM。这种材料的代谢产物提取，以及41个独立生长的个体C。相同基因型的线虫样本，使我们能够估计分析前步骤中样本变异的比例。根据NMR数据，我们发现40%的代谢物差异是由于代谢物提取过程和分析，60%是由于样品间差异。非靶向代谢组学中RM的可用性是代谢组学界的主要需求之一，超出了质量控制实践。IBAT通过促进生物相关RM的生产并增加其广泛使用来满足这一需求。
The use of quality control samples in metabolomics ensures data quality, reproducibility, and comparability between studies, analytical platforms, and laboratories. Long-term, stable, and sustainable reference materials (RMs) are a critical component of the quality assurance/quality control (QA/QC) system; however, the limited selection of currently available matrix-matched RMs reduces their applicability for widespread use. To produce an RM in any context, for any matrix that is robust to changes over the course of time, we developed iterative batch averaging method (IBAT). To illustrate this method, we generated 11 independently grown Escherichia coli batches and made an RM over the course of 10 IBAT iterations. We measured the variance of these materials by nuclear magnetic resonance (NMR) and showed that IBAT produces a stable and sustainable RM over time. This E. coli RM was then used as a food source to produce a Caenorhabditis elegans RM for a metabolomics experiment. The metabolite extraction of this material, alongside 41 independently grown individual C. elegans samples of the same genotype, allowed us to estimate the proportion of sample variation in preanalytical steps. From the NMR data, we found that 40% of the metabolite variance is due to the metabolite extraction process and analysis and 60% is due to sample-to-sample variance. The availability of RMs in untargeted metabolomics is one of the predominant needs of the metabolomics community that reach beyond quality control practices. IBAT addresses this need by facilitating the production of biologically relevant RMs and increasing their widespread use.
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影响因子：
7.4
作者：
Phinney KW;Ballihaut G;Bedner M;Benford BS;Camara JE;Christopher SJ;Davis WC;Dodder NG;Eppe G;Lang BE;Long SE;Lowenthal MS;McGaw EA;Murphy KE;Nelson BC;Prendergast JL;Reiner JL;Rimmer CA;Sander LC;Schantz MM;Sharpless KE;Sniegoski LT;Tai SS;Thomas JB;Vetter TW;Welch MJ;Wise SA;Wood LJ;Guthrie WF;Hagwood CR;Leigh SD;Yen JH;Zhang NF;Chaudhary-Webb M;Chen H;Fazili Z;LaVoie DJ;McCoy LF;Momin SS;Paladugula N;Pendergrast EC;Pfeiffer CM;Powers CD;Rabinowitz D;Rybak ME;Schleicher RL;Toombs BM;Xu M;Zhang M;Castle AL
通讯作者：
Castle AL
影响因子：
7.4
作者：
Simon-Manso, Yamil;Lowenthal, Mark S.;Stein, Stephen E.
通讯作者：
Stein, Stephen E.
影响因子：
3.4
作者：
Bunk, David M.
通讯作者：
Bunk, David M.
影响因子：
3
作者：
Kirpich AS;Ibarra M;Moskalenko O;Fear JM;Gerken J;Mi X;Ashrafi A;Morse AM;McIntyre LM
通讯作者：
McIntyre LM
影响因子：
2.5
作者：
CONOVER, WJ;JOHNSON, ME;JOHNSON, MM
通讯作者：
JOHNSON, MM