You Le, Page Lawrence, Feng Xueyang, Berla Bert, Pakrasi Himadri B, Tang Yinjie J
Department of Energy, Environmental and Chemical Engineering, Washington University, USA.
J Vis Exp. 2012 Jan 26(59):e3583. doi: 10.3791/3583.
Microbes have complex metabolic pathways that can be investigated using biochemistry and functional genomics methods. One important technique to examine cell central metabolism and discover new enzymes is (13)C-assisted metabolism analysis 1. This technique is based on isotopic labeling, whereby microbes are fed with a (13)C labeled substrates. By tracing the atom transition paths between metabolites in the biochemical network, we can determine functional pathways and discover new enzymes. As a complementary method to transcriptomics and proteomics, approaches for isotopomer-assisted analysis of metabolic pathways contain three major steps (2). First, we grow cells with (13)C labeled substrates. In this step, the composition of the medium and the selection of labeled substrates are two key factors. To avoid measurement noises from non-labeled carbon in nutrient supplements, a minimal medium with a sole carbon source is required. Further, the choice of a labeled substrate is based on how effectively it will elucidate the pathway being analyzed. Because novel enzymes often involve different reaction stereochemistry or intermediate products, in general, singly labeled carbon substrates are more informative for detection of novel pathways than uniformly labeled ones for detection of novel pathways(3, 4). Second, we analyze amino acid labeling patterns using GC-MS. Amino acids are abundant in protein and thus can be obtained from biomass hydrolysis. Amino acids can be derivatized by N-(tert-butyldimethylsilyl)-N-methyltrifluoroacetamide (TBDMS) before GC separation. TBDMS derivatized amino acids can be fragmented by MS and result in different arrays of fragments. Based on the mass to charge (m/z) ratio of fragmented and unfragmented amino acids, we can deduce the possible labeled patterns of the central metabolites that are precursors of the amino acids. Third, we trace 13C carbon transitions in the proposed pathways and, based on the isotopomer data, confirm whether these pathways are active (2). Measurement of amino acids provides isotopic labeling information about eight crucial precursor metabolites in the central metabolism. These metabolic key nodes can reflect the functions of associated central pathways. (13)C-assisted metabolism analysis via proteinogenic amino acids can be widely used for functional characterization of poorly-characterized microbial metabolism(1). In this protocol, we will use Cyanothece 51142 as the model strain to demonstrate the use of labeled carbon substrates for discovering new enzymatic functions.
微生物具有复杂的代谢途径,可通过生物化学和功能基因组学方法进行研究。一种用于研究细胞中心代谢和发现新酶的重要技术是¹³C辅助代谢分析1。该技术基于同位素标记,即给微生物投喂¹³C标记的底物。通过追踪生化网络中代谢物之间的原子转移路径,我们可以确定功能途径并发现新酶。作为转录组学和蛋白质组学的补充方法,代谢途径的同位素异构体辅助分析方法包含三个主要步骤(2)。首先,我们用¹³C标记的底物培养细胞。在这一步中,培养基的组成和标记底物的选择是两个关键因素。为避免营养补充剂中未标记碳产生的测量噪声,需要使用仅含单一碳源的基本培养基。此外,标记底物的选择基于其对所分析途径的阐明效果。由于新酶通常涉及不同的反应立体化学或中间产物,一般来说,单标记碳底物比均匀标记的底物在检测新途径方面更具信息价值(3,4)。其次,我们使用气相色谱 - 质谱联用仪(GC - MS)分析氨基酸标记模式。氨基酸在蛋白质中含量丰富,因此可从生物质水解中获得。氨基酸在GC分离前可通过N - (叔丁基二甲基甲硅烷基) - N - 甲基三氟乙酰胺(TBDMS)进行衍生化。TBDMS衍生化的氨基酸可通过质谱(MS)裂解,产生不同的碎片阵列。基于裂解和未裂解氨基酸的质荷比(m/z),我们可以推断出作为氨基酸前体的中心代谢物可能的标记模式。第三,我们在所提出的途径中追踪¹³C碳的转移,并根据同位素异构体数据确认这些途径是否活跃(2)。氨基酸的测量提供了关于中心代谢中八种关键前体代谢物的同位素标记信息。这些代谢关键节点可以反映相关中心途径的功能。通过蛋白质ogenic氨基酸进行的¹³C辅助代谢分析可广泛用于表征 poorly - characterized微生物代谢的功能(1)。在本方案中,我们将使用蓝细菌51142作为模型菌株,展示使用标记碳底物发现新酶功能的方法。