Mapping an atlas of tissue-specific Drosophila melanogaster metabolomes by high resolution mass spectrometry.
Mapping an atlas of tissue-specific Drosophila melanogaster metabolomes by high resolution mass spectrometry.
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DOI：
10.1371/journal.pone.0078066
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发表时间：
2013
期刊：
影响因子：
3.7
通讯作者：
Dow JA
中科院分区：
文献类型：
--
作者：
Chintapalli VR;Al Bratty M;Korzekwa D;Watson DG;Dow JA
代谢组学可以为生物体功能提供令人兴奋的见解，但大多数简单模型的工作都集中在整个生物体代谢组上，因此错过了单个组织的贡献。综合代谢产物的10个组织从成年黑腹果蝇在这里获得了两种色谱方法，亲水相互作用（HILIC）的方法极性代谢物和脂质分析方法也基于HILIC，结合Orbitrap Exactive仪器。在各种组织中鉴定出242种极性代谢物，在正离子模式下观察到251种脂质，在负离子模式下观察到61种脂质。尽管在所有组织中检测到许多代谢物，但每个组织均显示出特征性丰富的代谢物，这些代谢物可针对特定组织功能进行合理化。例如，角质层含有高水平的谷胱甘肽，反映了氧化防御的作用;消化道（如脊椎动物的肠道）有高水平的酰基肉毒碱用于脂肪酸代谢，头部含有高水平的醚脂。雄性附腺唯一含有脱羧S-腺苷甲硫氨酸。因此，这些数据提供了对组织功能的有价值的见解，以及与FlyAtlas.org转录组学资源兼容的参考基线，用于该重要模式生物的进一步代谢组学分析，例如在对人类先天性代谢缺陷、衰老或代谢失衡（如糖尿病）进行建模中。
Metabolomics can provide exciting insights into organismal function, but most work on simple models has focussed on the whole organism metabolome, so missing the contributions of individual tissues. Comprehensive metabolite profiles for ten tissues from adult Drosophila melanogaster were obtained here by two chromatographic methods, a hydrophilic interaction (HILIC) method for polar metabolites and a lipid profiling method also based on HILIC, in combination with an Orbitrap Exactive instrument. Two hundred and forty two polar metabolites were putatively identified in the various tissues, and 251 lipids were observed in positive ion mode and 61 in negative ion mode. Although many metabolites were detected in all tissues, every tissue showed characteristically abundant metabolites which could be rationalised against specific tissue functions. For example, the cuticle contained high levels of glutathione, reflecting a role in oxidative defence; the alimentary canal (like vertebrate gut) had high levels of acylcarnitines for fatty acid metabolism, and the head contained high levels of ether lipids. The male accessory gland uniquely contained decarboxylated S-adenosylmethionine. These data thus both provide valuable insights into tissue function, and a reference baseline, compatible with the FlyAtlas.org transcriptomic resource, for further metabolomic analysis of this important model organism, for example in the modelling of human inborn errors of metabolism, aging or metabolic imbalances such as diabetes.
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影响因子：
3.7
作者：
Koštál V;Korbelová J;Rozsypal J;Zahradníčková H;Cimlová J;Tomčala A;Šimek P
通讯作者：
Šimek P
影响因子：
3.6
作者：
Al Bratty, Mohammed;Hobani, Yahya;Watson, David G.
通讯作者：
Watson, David G.
影响因子：
2.2
作者：
BLOMQUIST, GJ;NELSON, DR;DERENOBALES, M
通讯作者：
DERENOBALES, M
影响因子：
3.7
作者：
Chintapalli VR;Terhzaz S;Wang J;Al Bratty M;Watson DG;Herzyk P;Davies SA;Dow JA
通讯作者：
Dow JA
DOI：
10.1136/fn.76.3.f152
发表时间：
1997-05-01
影响因子：
4.4
作者：
Jackson, AA;Persaud, C;Rutter, N
通讯作者：
Rutter, N