Name: species determination and quantitation in mixtures using mrm mass spectrometry of peptides applied to meat authentication
Uploaded: 2016-09-20T08:00:00.000+00:00
Duration: 9 min 26 s
Description: Watch this Scientific Journal Video about Species Determination and Quantitation in Mixtures Using MRM Mass Spectrometry of Peptides Applied to Meat Authentication at JoVE.com

We acknowledge financial support from Institute of Food research BBSRC Core Strategic Grant funds, BBSRC Project BB/J004545/1.

1.蛋白水解和参考M​​yoglobins分析<ol><li>参考myoglobins蛋白水解<ol><li>制备纯化的参考myoglobins的溶液（范围0.2 -在25mM碳酸氢铵0.5毫克/毫升）3。 </li><li>转移1ml等份各样品至2ml离心管中。 </li><li>通过在95℃下30分钟在热块加热样品热变性提取的蛋白质。冷却样品约15分钟，直到它达到室温。添加30毫克尿素（终浓度0.5 M），以增强消化，然后混匀。 </li></ol></li><li>胰蛋白酶水解<ol><li>制备在25mM碳酸氢铵胰蛋白酶的1毫克/毫升溶液，并根据需要在冰上储存。添加胰蛋白酶的足够体积使得最终的酶的活性是420 BAEE（N-苯甲酰基-L-精氨酸乙酯盐酸盐）单位/萃取mg蛋白质，然后通过温和涡旋混合并允许在3至proteolyze过夜7°C。 </li><li>进行十二烷基硫酸钠聚丙烯酰胺凝胶电泳（SDS-PAGE）17以证明蛋白水解的完整性。 </li></ol></li><li>蛋白水解后的样品脱盐<ol><li>稀释样品1:2体积:体积水。 </li><li>激活的聚合物反相（RP）柱，加入1毫升甲醇填充有30毫克的RP材料，然后通过添加1毫升％甲酸平衡墨盒。 </li><li>加载到样品在重力作用下的墨盒。 </li><li>与在重力作用下1毫升5％甲醇/ 1％甲酸洗涤。 </li><li>在重力作用下与5微升二甲基亚砜（DMSO）中预先填充2ml微量管;:用1毫升乙腈/水（0.1％甲酸酸酯Ⅴ90:10 v）的洗脱肽。 </li><li>使用离心蒸发器120分钟，在50℃真空下除去溶剂，然后再溶解残余物中加入250μl乙腈/水（3:97体积:体积; 0.1％甲酸）。 </li><li>转让该溶液至低体积自动取样管形瓶中。 注:样品可以储存在4℃直到准备液相色谱质谱（LC / MS）分析。 </li></ol></li><li>对于MRM过渡名单产生<ol><li>定位为从的UniProt数据库的不同的肉类的肌红蛋白的序列。 </li><li>输入序列肌红蛋白进入肽和过渡预测软件的"目标"框（ 如地平线）。如果需要，肽以揭示其片段列表悬停。 </li><li>点击"设置"，然后选择"肽设置"。输入为消化的喜好（即胰蛋白酶），并错过了分裂的次数（0）。输入所需的选择附加的参数，特别是，所述肽长度（6 - 25），N-末端排除（0）和假定的氨基酸修饰（无）。 </li><li>点击"设置"，然后选择"转换设置"。选择喜好用于LC / MS分析仪器类型。 </li><li>点击"导出"，然后选择"转换列表"创建包含生成的MRM转变和参数的电子表格。 </li></ol></li><li>分析通过LC / MS <ol><li>设置二元梯度的一个系统（水（A）和乙腈（B）中，每个含有0.1％甲酸V:V）进行高效液相色谱（HPLC）用自动取样器，C18芯壳HPLC柱（10厘米×2.1毫米连接到与MRM检测阳性电喷雾模式操作的三重四极质谱仪2.6微米粒径）。 </li><li>在数据收集软件（ 例如 ，分析师），选择"文件"和"新建"，在弹出框中点击"获取方法"，然后点击"确定"。 注意:这将打开仪器方法编辑器，它包含了连接的设备，使一个新的LC / MS方法的设置的列表。 </li><li>点击"二元泵"和我NPUT的流量值（300微升/分钟）并在22分钟在表中的梯度时间，设置3％B的二进制梯度分布到30％B，在23分钟为一个5分钟增加至100％B洗出之前返回到初始条件和再平衡再6分钟。 </li><li>点击"自动进样器"，然后插入进样量（5微升）。启用"洗针周期"并输入"洗涤时间"（30秒），然后选择"刷新端口"。 </li><li>点击"柱温控制器"和"柱温箱属性"设置&#39;左温度"和"合适的温度"（40°C）。 </li><li>点击"质谱仪"，然后单击"编辑参数"输入气源条件。选择"扫描类型"为"MRM（MRM）"和"极性"为"积极"。转到"期间摘要"，并进入"持续时间"，总时间为LC分析的ð平衡（35分钟）。 </li><li>在表中点击右键，选择"去聚势（DP）&#39;和&#39;碰撞能量（CP）"将这些列添加到表中。输入Q1，Q3，时间（毫秒），身份证，DP和CE值的所有转变，对于单肉种，在过渡列表（见步骤1.4.5）创建。 注:时间（毫秒）指的是停留时间，质谱仪花费扫描每个过渡时，求和其中不应超过3秒。 </li><li>保存采集方法文件（文件扩展.dam）。 注意:步骤1.5.2 - 1.5.8需要重复为每个肉物种。这将在下面的分析准备创建在屏幕模式下每个品种的肉的单一方法文件。 </li><li>在数据采集软件，点击"捕获"并选择"。平衡"。在打开的对话​​框中，选择所需的采集方法开始仪器平衡。 </li><li>放入AR样品瓶ACK在自动采样器。 </li><li>点击"文件"，选择"新建"，然后"批量收购"。在"样品"选项卡中选择"添加设置"，然后"添加样本"。将要分析的样品数量，然后点击"确定"。在"收购"框中选择将用于从下拉菜单中进行分析的方法文件。 </li><li>在表中，选择"板代码"，然后从下拉菜单中选择相应纸盒配置。点击鼠标左键在"板代码"列标题，然后点击右键并选择"向下填充"。在"瓶位置"输入中的行中的自动取样器各样品的位置。 </li><li>在"数据文件"收购中输入文件名，在列标题，然后左击后点击右键并选择"向下填充"。在"样品名称"插入待分析各样品的身份。除收购批处理文件（文件Ëxtension .dab）。 </li><li>点击"提交"选项卡，然后选中需要的LC / MS要分析的样本。点击"提交"。点击"捕获"和"开始采样"开始进行分析。 注意:每个采集方法将扫描跨过色谱的整个长度的MRM离子为单个肉物种。对于MRM购置质谱仪设置，根据设备型号及肽有所不同。 </li><li>查看使用数据查看软件所生成的数据文件。点击西昌（提取离子），并在下拉列表中突出了一个单一的前体（Q1）中的所有片段（Q3值）下降。一个新的面板将打开只显示所选择的过渡。 </li><li>记录并发跃迁基的保留时间（R t）的 ，因为这些对应于单个肽。 </li><li>重复以峰分配给每个各自的肽为每组变换的前两个步骤的肉种。 </li><li>记录标记的肽是适合于提供物种鉴定（ 例如 ，肽HPGDFGADAQGAMTK，前体M / Z = 752，R T = 12.0分钟，对马），其保留时间一起，并注意其形成对应的适合于相对定量成对。 注意:例如，马标记肽（前体M / Z = 752）具有一个相应的牛肉肽，HPSDFGADAQAAMSK（前体M / Z = 767，R T = 13.2分钟）。 </li><li>为了建立一个单一的动态方法包括所有的肉种，在该数据查看软件，依次在每个肉物种，打开XIC过渡数据的每个前体（在1.5.8分配给特定的肽）。 </li><li>放大在通过左击选定的保留时间峰丛并拖动光标集群下方。找出最激烈的转变（由峰标签上单击鼠标右键）。 </li><li>手动记录转换和保留时间在电子表格中。 </li><li>要输入参数的LC / MS软件的新动态方法，点击"质谱仪"，然后单击"编辑参数"输入气源条件。选择"扫描类型"为"MRM（MRM）"和"极性"为"积极"。 </li><li>转到"期间摘要"并输入持续时间（设置为总时间为LC分析和平衡）。在表中点击右键，选择"去聚势（DP）&#39;和&#39;碰撞能量（CP）"将这些列添加到表中。 注:"时间"栏现指每次转换的预期保留时间（min）。 </li><li>在LC / MS数据采集软件的"编辑参数"部分中，选中"计划MRM"框。输入Q1，Q3，时间（min），身份证，在电子表格（1.5.21）创造的转变DP和CE值并保存收购法（FILË扩展.dam）。 注意:此方法通常会降低MRM数转换到4最激烈的每个肽和扫描只在整个每个肽峰的保留时间窗口，从而提高了灵敏度和数据的质量。一个"动态"的方法是"引导滞留时间窗口"的方法，有时也被称为调度。 </li></ol></li></ol> 2.校准样品的制备和分析<ol><li>肉混合物提取<ol><li>使用先前冷冻然后研磨成粉末肉，通过称重肉的各自的量（约300毫克的总质量）为15个毫升的塑料离心管中制备一系列肉混合物。 </li><li>加入4毫升提取缓冲液（0.15氯化1M氢+ 0.15M的磷酸盐缓冲液6.5）的。涡旋30秒。提取物对实验室摇动器在室温下以250次/分钟2小时。 注:周期/分指的是振荡运动。 </li><li>传送2毫升的提取到2ml微量离心管中。离心在4℃下5分钟，在17000×g的。 </li><li>转移上清液200μl的等份（保留少量用于蛋白质测定，见2.2）于2ml离心管并干燥使用离心蒸发器（预先设定的程序:50℃，没有排气和120分钟的持续时间）。 </li></ol></li><li>蛋白检测<ol><li>转移所保留的上清液7微升等份（见2.1.4）中一式三份加入到96孔板的孔中。 </li><li>转移一系列一式三份蛋白质标准的7微升等份，范围0 - 1.0毫克/毫升牛血清白蛋白（BSA），以同样的96孔板中。 </li><li>加入200μl考马斯加蛋白质检测试剂的每个孔中。 </li><li>直观比较样品孔与蛋白质标准的颜色来检查样品中的校准标准的范围内。如有必要，重复用稀释的样品，使其成为在范围内。 </li><li>离开板ST和3分钟。 </li><li>爆裂已经用皮下注射针形成的任何气泡。 </li><li>分析上使用标准的端点协议在595波长下的板读取器的板。 </li><li>确定使用从蛋白质的标准校准数据样品的蛋白质浓度。 注意:这是必需的胰蛋白酶在胰蛋白酶消化所用的量的计算。 </li></ol></li><li>肉混合物的蛋白水解<ol><li>再溶解从步骤2.1.4干燥残留物于1ml的25mM碳酸氢铵溶液。在rotamixer拌匀。 </li><li>按照步骤1.1.3协议1.3.7。 </li></ol></li><li>分析通过LC / MS <ol><li>设置LC / MS如先前（步骤1.5.1）。 </li><li>创建如先前概述了新的采集批次（步骤1.5.9 - 1.5.14），选择在步骤在1.5.24中创建的采集方法，它使用一种动态LC / MS方法结合所有的肉种，并获取用于数据该diges特德肉类样品。 </li><li>显示在数据查看软件的完整图谱。显示西昌的依次设置每个过渡。视觉上确认每个簇包含的钟形峰的必要数量以预期的保留时间，从而确认所选择的肽的存在。 </li><li>执行使用数据查看软件通过双击"建立定量方法"导航栏中集成峰面积为每个感兴趣的过渡定量。 </li><li>在"选择示例"窗格中选择"数据文件"和"样品"进行分析，以产生"分析物"表。 </li><li>点击"一体化"选项卡上显示的第一个过渡（分析物）的进行整合。 </li><li>点击"分析物"框中显示下拉转换的列表。依次选择每个过渡来显示它和视觉确认正确的峰值被选择用于集成。到modify或强制整合，右键单击并拖动光标在目标峰（这将在绿色高亮显示）。点击"选择峰"按钮，然后单击"应用"。 </li><li>保存工作区作为方法文件（.qmf）。 注意:这将创建样品峰面积的后续计量定量方法文件。 </li><li>双击"定量向导"导航栏中。在"选择样品"窗口中选择一个"数据文件"，那么一个或多个"提供样品"创造"定量设置"。选择"下一步"，以显示"选择设置和查询"框中。与保留默认值，选择"下一步"，以显示"选择方法"。从下拉"方法"框中，选择在步骤2.4.8创建的"积分法"文件，然后选择"完成"。 注意:这将创建一个"结果表"，其中包括肉类产生的混合物转变峰地区。 </li> &lt;LI&gt;保存"结果表"（文件扩展名.rdb），导出为文本文件（.txt），并在电子表格中打开它来查看数据。 </li><li>从相应的肽，着眼于其中两个片段含有这些情况下一种肉类的另一个的百分比（由过渡峰面积）对所测量的百分比的曲线图图（W / W）在两个肉为选定的MRM所选过渡相同数量的氨基酸从C-末端计数。 注:具有相同的碎片网站相同的片段给予最佳的效果。 </li><li>检查从上面2.4.11的地块。无论是视觉上或使用绘图包中的趋势线的工具，识别一组地块它们都是线性渐变相似的。使用这些CPCP加上片段组合中的任何一个或多个为真实的肉样品中的校准。 注:显出非同一般的梯度作图可能表明，要么肽或片段抑制与信号STRE随之减少NGTH。非线性曲线可指示峰值检测差或其他问题。 </li></ol></li></ol> 3.肉类样品<ol><li>从靶肉样品中提取蛋白质<ol><li>从哪里用抹刀将样品适用，消费无关的非肉类材料。例如，从冷冻烤宽面条刮掉酱和意大利面食。 </li><li>重20克肉入金属烧杯中。 </li><li>加入100毫升0.15氯化物1M氢/ 0.15M的磷酸钾缓冲液，在pH 6.5。 </li><li>通过在高速均化器混合肉1分钟提取蛋白质。 </li><li> 2.3.2 - 步骤2.1.4按照协议。 </li></ol></li><li>通过LC / MS分析样品<ol><li>重复步骤2.4.2使用动态LC / MS方法来采集数据。 </li><li>确定从每个肉肌红蛋白的肽作为在步骤2.4.3进行。 </li><li>对于定量，使用定量软件对峰面积整合为每个感兴趣的过渡，如在步骤2.4.9概述。 </li><li>对于混合品种的鉴定，记录这些标记肽满足商定的标准过渡的数量和信噪为那些过渡。 </li><li>对于定量，使用来自步骤2.4.12商定集成化转变的峰面积，并利用百分比由过渡峰面积，由两个物种中的混合物计算的肌红蛋白的百分比。 </li><li>从肉可能肌红蛋白水平的文献18使用前的知识来估计相对w / w的量存在于样品以两种肉类。 </li></ol></li></ol>

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U. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Meat+Authentication:+A+New+HPLC-MS/MS+Based+Method+for+the+Fast+and+Sensitive+Detection+of+Horse+and+Pork+in+Highly+Processed+Food.">Meat Authentication: A New HPLC-MS/MS Based Method for the Fast and Sensitive Detection of Horse and Pork in Highly Processed Food.</a> J. Agric. Food Chem. 62, 9428-9435 (2014).</li><li>von Bargen, C., Dojahn, J., Waidelich, D., Humpf, H. U., Brockmeyer, J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=New+Sensitive+High-Performance+Liquid+Chromatography+Tandem+Mass+Spectrometry+Method+for+the+Detection+of+Horse+and+Pork+in+Halal+Beef.">New Sensitive High-Performance Liquid Chromatography Tandem Mass Spectrometry Method for the Detection of Horse and Pork in Halal Beef.</a> J. Agric. Food Chem. 61, 11986-11994 (2013).</li><li>Montowska, M., Alexander, M. R., Tucker, G. A., Barrett, D. A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Authentication+of+processed+meat+products+by+peptidomic+analysis+using+rapid+ambient+mass+spectrometry.">Authentication of processed meat products by peptidomic analysis using rapid ambient mass spectrometry.</a> Food Chem. 187, 297-304 (2015).</li><li>Montowska, M., Alexander, M. R., Tucker, G. A., Barrett, D. A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Rapid+detection+of+Peptide+markers+for+authentication+purposes+in+raw+and+cooked+meat+using+ambient+liquid+extraction+surface+analysis+mass+spectrometry.">Rapid detection of Peptide markers for authentication purposes in raw and cooked meat using ambient liquid extraction surface analysis mass spectrometry.</a> Anal. Chem. 86, 10257-10265 (2014).</li><li>Sentandreu, M. A., Fraser, P. D., Halket, J., Patel, R., Bramley, P. M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+Proteomic-Based+Approach+for+Detection+of+Chicken+in+Meat+Mixes.">A Proteomic-Based Approach for Detection of Chicken in Meat Mixes.</a> J. Proteome Res. 9, 3374-3383 (2010).</li><li>Elliott, M. H., Smith, D. S., Parker, C. E., Borchers, C. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Current+trends+in+quantitative+proteomics.">Current trends in quantitative proteomics.</a> J. Mass Spectrom. 44, 1637-1660 (2009).</li><li>MacLean, B., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Skyline:+an+open+source+document+editor+for+creating+and+analyzing+targeted+proteomics+experiments.">Skyline: an open source document editor for creating and analyzing targeted proteomics experiments.</a> Bioinformatics. 26, 966-968 (2010).</li><li>Keeton, J. T., Ellerbeck, S. M., Nunez de Gonzalez, M. T., Devine, C., Dikeman, M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=.">.</a> Encyclopedia of Meat Sciences. 1, 235-243 (2014).</li><li>Montowska, M., Alexander, M. R., Tucker, G. A., Barrett, D. A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Rapid+Detection+of+Peptide+Markers+for+Authentication+Purposes+in+Raw+and+Cooked+Meat+Using+Ambient+Liquid+Extraction+Surface+Analysis+Mass+Spectrometry.">Rapid Detection of Peptide Markers for Authentication Purposes in Raw and Cooked Meat Using Ambient Liquid Extraction Surface Analysis Mass Spectrometry.</a> Anal. Chem. 86, 10257-10265 (2014).</li></ol>

The authors have nothing to disclose.

合适的靶蛋白的选择是重要的。一个好的目标蛋白质需要在目标物质相应的形式，充分物种依赖性序列变异，种属特异性，与生物体内存在着大量访问。评估已经历处理混合物（例如，热处理），具有相对地不受该处理的序列的蛋白质是理想的。肌红蛋白是红肉，包括熟食红肉一个很好的候选人，但并不是唯一的可能性。一旦目标蛋白质决定，该协议的最关键的部分是蛋白质水解。从不同的肌红蛋白的蛋白质很可能需要一个替代蛋白水解协议。 如所描述的协议包括基于参考纯化的蛋白质的片段。这旨在发现保留时间窗口和合适的前体和碎片离子。这部分是非常有益的，但​​不是必需的。 <p类="jove_content"&gt;尽管来自两个物种的兴趣相应肽对即使不实验中列出，有时，一个序列差异对消化轮廓严重后果的情况。例如，所述肽对VLGFHG（牛肉）和ELGFQG（马）得到异常的定量结果（表现为一个梯度小于一在图2中）。这是因为，后面的肽源于相对抑制KE裂解，引起马的混合物中的水平的低估。因此最好的开始与不同的氨基酸相应的肽被避免。常来自两个对应的肽片段具有相同的氨基酸序列，并表现良好，但是这并非总是如此，需要方法开发期间进行检查。种属鉴定是敏感的这些问题比相对定量少得多。 该协议已被证明四红肉第3条 。附加肉种类可以包括，但过渡峰形的质量可能如果太多标记肽共洗脱恶化，有效地减少了停留时间和最终降解相对定量估计。改进的仪器，已经上市，将改善这一点。一个相关的问题是，并非所有的肉都有不同myoglobins。例如，马，驴和斑马myoglobins是相同的，因此严格来说该方法只能够在牛肉检测马，驴或斑马。在某些情况下，即使myoglobins不相同，一些关键的肽即可。例如，一些羊肉肌红蛋白衍生肽标记也出现在山羊。 面对此以及任何其他基于蛋白质的定量方法的复杂性在于，在蛋白质水平必须假定在所有物种恒定如果蛋白质或肽水平是平凡等同于混合物中的肉类的水平。对于肌红蛋白和四个红M吃这不是普遍如此。在一般的水平是物种依赖性的，猪肉呈现四个的最低水平。此外，肌红蛋白水平分割肉和动物的年龄而异。所以虽然过渡峰面积的比率可靠地映射到肌红蛋白的比率时，映射到实际的肉类的比率是对有关在该混合物的肉类的可能的来源的假设的估计图。 在这项工作中所概述的方法的不同之处的一些其他发表的贡献的方式。更典型的途径是使用蛋白质组学方法来识别各种不同的物种依赖性标记的肽，在这种情况下，对于不同物种的标记物具有彼此8-12,14,19没有特别的关系。相比之下，我们选择共同所有感兴趣的物种的蛋白质多达物种依赖性序列变体3。除了是中央到我们的相对定量的策略，这具有的优点是样品制备策略可以被优化。此外，这种相应的蛋白质可以预料到的行为类似，例如，在提取或样品如烹调或罐头的商业加工。种属鉴定，然后通过检测不同标记肽的正常进行，而通过检测通常拥有一个或两个序列的差异密切相关肽的CPCP办法物种鉴定的收益。最后，蛋白的定量在另一个重量的一种物种的估计的百分比通过分别基于已知标准7,14,15各蛋白质的绝对定量可能常规进行。然而，使用CPCP方法也没有必要进行校准的方法。相反，相对水平通过比较来自两个物种两个相应肽的信号强度，完全绕过绝对测量载台估计。由于最终目标是重量在ANO一个物种的百分比疗法，一个相对定量，则CPCP既更直接和超过比较两个绝对定量测量更简单。这些特点转化为短的实验时间，预计将用精致的协议，大约两小时，使得该技术可用作食品欺诈检测领域快速的监视工具。

The European horse meat scandal of 2013, in which undeclared horse meat was found in a number of supermarket beef products1, highlights the need for testing methods capable of detecting and measuring food fraud in meat. Several technologies have been explored, especially enzyme-linked immunosorbent assay (ELISA) and DNA-based methods2. An alternative route, based on mass spectrometry, targets species-specific peptides which in turn arise from species-specific proteins. Here we outline one such peptide-based approach that offers both identification and relative quantitation of the adulterant species in a meat mixture3. 
The protocol is framed in the context of red meats and the desire to determine the presence of one in another at the level of 1% by weight, the level considered by some to represent fraudulent food adulteration as opposed to contamination4. The method relies in the first instance on identifying a protein which is nominally 'the same' in all target meats. Myoglobin, the protein responsible for the red color of meat, is a good candidate since it is abundant, relatively heat tolerant and water soluble, and has been used for species determination of meat previously5,6. The myoglobins for beef (Bos Taurus), pork (Sus scrofa), horse (Equus caballus) and lamb (Ovis aries)3, for instance, are nominally the same, as required, but their sequences are not identical. Such groups of 'similar but different' proteins, like these four myoglobins, can conveniently be described as 'corresponding proteins'. The sequence differences in these four myoglobins are species-specific: for example, the full myoglobin proteins for beef and horse, P02192 and P68082 respectively, each comprise 154 amino acids with 18 sequence differences between the two. Subject to proteolysis using trypsin these proteins produce two sets of peptides, some of which are identical, and some which show one or more species-specific amino acid differences: corresponding proteins therefore give rise to corresponding peptides. 
The CPCP approach, therefore, seeks first to identify proteins from two or more species where these proteins exhibit limited species-specific sequence variants. These are corresponding proteins. Following proteolysis, corresponding proteins give rise to peptides, some of which likewise display species-specific sequence variants inherited from the parent protein. These are corresponding peptides. The CPCP approach can be used to compare levels of two corresponding proteins in a mixed species sample by monitoring the levels of corresponding peptides.
The natural technology for the detection of known peptides is multiple reaction monitoring mass spectrometry, or MRM-MS7. Species-specific peptides yield precursor ions, which along with their mass spectrometry fragment ions, are easily itemized in advance by software tools. These lists are then used to instruct the mass spectrometer to record only specific precursor plus fragment ion pairs, called transitions. A particular target peptide is therefore identified not only by its retention time in the chromatography preceding the mass spectrometer, but also by a set of transitions sharing a common precursor ion. This is a highly selective means of detecting known peptides that makes efficient use of the mass spectrometer resource.
Other authors have used mass spectrometry to test for meat adulteration via peptide markers but from disparate proteins8-14. Using the corresponding proteins, corresponding peptides (CPCP) scheme, however, means experimental conditions can be optimized, aiding identification of the species in the mixture from known species-specific transitions. In addition, corresponding proteins and peptides will generally behave similarly in the extraction, proteolysis and detection stages. Since transition peak areas are quantitative and reproducible, ratios of peak areas arising from pairs of corresponding peptides from different species provide a direct estimate of the relative quantities of two meats in a mixture. In contrast, more traditional quantitation routes exploit calibrations based on reference materials to establish absolute quantitation14,15.
Though the protocol is outlined in the context of myoglobin and meat, proteins other than myoglobin could be used for identification and relative quantitation via the CPCP strategy in meat mixtures, though potentially with modifications to the protocol. In addition the strategy is also applicable to binary mixtures of other species sharing one or more corresponding proteins.
The starting point for the protocol is purified 'reference' myoglobin, which for some species can be purchased but which for others must be prepared by conventional size-exclusion chromatography. The procedure for preparing reference myoglobin is not included in the protocol, but is described elsewhere3. Software tools16 are used to list candidate peptides and transitions arising from myoglobins of interest. Each reference myoglobin is subjected to proteolysis and the resultant peptides analyzed by liquid chromatography electrospray ionization tandem mass spectrometry (LC-ESI-MS/MS) to discover which of the candidate precursor ions and transitions are most useful, and to determine the matching peptide retention times. The outcome of this stage is a revised list of target peptides with their transitions, suitable for species determination, and a list of CPCP pairs, suitable for relative quantitation. To test real meats, sample extractions are prepared then subjected to proteolysis to generate peptides both from myoglobin and other extraneous proteins. The myoglobin-based peptides are then monitored by LC-ESI-MS/MS based on their listed transitions. The species present in a mixture are identified by the transition peaks associated with marker peptides. Estimates of the relative amounts of two meats in a binary mixture are calculated using ratios of transition peak areas. A set of test mixtures of pairs of meats will allow the ratio of peak areas for a given pair of transitions to be checked and calibrated against actual mixtures.

<table><tbody><tr><td>Uniprot database</td><td>&lt;a href=&quot;http://www.uniprot.org/&quot;&gt;www.uniprot.org&lt;/a&gt;</td><td></td><td>Freely accessible database of protein sequences</td></tr><tr><td>Skyline software</td><td>&lt;a href=&quot;http://www.skyline.gs.washington.edu/&quot;&gt;www.skyline.gs.washington.edu&lt;/a&gt;</td><td></td><td>Free software to download that enables the creation of targeted methods for proteomic studies, peptide and fragment prediction&amp;nbsp;</td></tr><tr><td>Ammonium bicarbonate</td><td>Sigma-Aldrich Co Ltd, Gillingham, UK www.sigmaaldrich.com</td><td>O9830</td><td></td></tr><tr><td>Methanol, HPLC grade</td><td>Fisher Scientific, Loughoborough, UK www. fisher.co.uk</td><td>10674922</td><td></td></tr><tr><td>Acetonitrile, HPLC grade</td><td>Fisher Scientific, Loughoborough, UK www. fisher.co.uk</td><td>10010010</td><td></td></tr><tr><td>Urea</td><td>Sigma-Aldrich Co Ltd, Gillingham, UK www.sigmaaldrich.com</td><td>U5378</td><td></td></tr><tr><td>Trypsin(from bovine pancreas treated with TPCK)</td><td>Sigma-Aldrich Co Ltd, Gillingham, UK www.sigmaaldrich.com</td><td>T1426</td><td></td></tr><tr><td>Formic acid&amp;nbsp;</td><td>Sigma-Aldrich Co Ltd, Gillingham, UK www.sigmaaldrich.com</td><td>F0507</td><td></td></tr><tr><td>Coomassie Plus Protein Assay Reagent</td><td>Thermo Fisher Scientific www.thermofisher.com</td><td>1856210</td><td></td></tr><tr><td>Protein standard</td><td>Sigma-Aldrich Co Ltd, Gillingham, UK www.sigmaaldrich.com</td><td>P0914</td><td></td></tr><tr><td>Ultra Turrax homogeniser T25</td><td>Fisher Scientific, Loughoborough, UK www. fisher.co.uk</td><td>13190693</td><td></td></tr><tr><td>Edmund and Buhler KS10 lab shaker</td><td></td><td></td><td></td></tr><tr><td>Heraeus Fresco 17 Centrifuge</td><td>Thermo Fisher Scientific www.thermoscientific.com</td><td>75002420</td><td></td></tr><tr><td>Vacuum centrifuge RC 1022</td><td>Jouan</td><td></td><td></td></tr><tr><td>Plate Reader</td><td></td><td></td><td></td></tr><tr><td>Strata-X 33u polymeric reversed-phase cartridges 60 mg/3 ml tubes</td><td>Phenomenex, Macclesfield, UK</td><td>8B-S100-UBJ</td><td></td></tr><tr><td>4000 QTrap triple-quadrupole mass spectrometer</td><td>AB Sciex, Warrington, UK www.sciex.com</td><td></td><td></td></tr><tr><td>1200 rapid resolution LC system</td><td>Agilent, Stockport, UK</td><td></td><td></td></tr><tr><td>XB C18 reversed-phase capillary column (100 mm x 2.1 mm, 2.6 &amp;micro;m particle size)</td><td>Phenomenex, Macclesfield, UK www.phenomenex.com</td><td></td><td></td></tr><tr><td>Analyst 1.6.2 software</td><td>AB Sciex, Warrington, UK www.sciex.com</td><td></td><td>QTrap data acquisition and analysis, including peak area integration</td></tr><tr><td>Autosampler vials</td><td></td><td></td><td></td></tr></tbody></table>

species determination and quantitation in mixtures using mrm mass spectrometry of peptides applied to meat authentication

We describe a simple protocol for identifying and quantifying the two components in binary mixtures of species possessing one or more similar proteins. Central to the method is the identification of 'corresponding proteins' in the species of interest, in other words proteins that are nominally the same but possess species-specific sequence differences. When subject to proteolysis, corresponding proteins will give rise to some peptides which are likewise similar but with species-specific variants. These are 'corresponding peptides'. Species-specific peptides can be used as markers for species determination, while pairs of corresponding peptides permit relative quantitation of two species in a mixture. The peptides are detected using multiple reaction monitoring (MRM) mass spectrometry, a highly specific technique that enables peptide-based species determination even in complex systems. In addition, the ratio of MRM peak areas deriving from corresponding peptides supports relative quantitation. Since corresponding proteins and peptides will, in the main, behave similarly in both processing and in experimental extraction and sample preparation, the relative quantitation should remain comparatively robust. In addition, this approach does not need the standards and calibrations required by absolute quantitation methods. The protocol is described in the context of red meats, which have convenient corresponding proteins in the form of their respective myoglobins. This application is relevant to food fraud detection: the method can detect 1% weight for weight of horse meat in beef. The corresponding protein, corresponding peptide (CPCP) relative quantitation using MRM peak area ratios gives good estimates of the weight for weight composition of a horse plus beef mixture.

在一个单一的动态模式的MRM试验每个编程过渡被单独地记录（如每秒检测器计数，厘泊）在特定的保留时间窗口。因此，从在一个实验中收集到的所有数据，峰值强度为每个转变可以单独萃取。那么唯一的有限信号是为该过渡设置的保留时间窗口。窗口的外面，该信号值被定义为零。为任何一种过渡的信号，例如，752→1269从马（肽单一同位素质量1,501.66道尔顿，母体离子M / Z 751.84道尔顿，充电状态= 2，片段离子ÿ13）典型地具有仅与测量噪声和不竞争从其他过渡峰认为也许可以从其他物种。因此，输出是一组清洁的峰，每过渡之一，在一个共同的保留时间为那些过渡共享一个共同的前体离子。 图1示出的1％w / w的混合物输出为组四个跃迁752→（1269，706，248，1366）马牛肉。由于显示四个跳变与马相关联，并且是在纯牛肉，羊肉或猪肉样品不存在，这些峰表示马的存在。取决于鲁棒性的标准，一组两个或多个转换的每个超过一些指定的信号到噪声电平建立鉴定。因此该图中建立的马中的1％的混合物的存在下w / w的在牛肉马。 偶尔，在检测到单个孤立的过渡。这表明前体离子和单个片段的机会的比赛，可能来自外来蛋白，与那些从系统预期和程序性进入质谱仪。峰的奇异性质，其在一个意想不到的保留时间发生，是在Si可以被忽略意外过渡gnature。 每个转变峰下的面积可以单独计算。根据一个合适的片段，马牛肉过渡峰面积的比率，例如，752→1269（马），以767→1299（牛肉），将正比于在混合物中的实际的肉类的比率。 图2示出了由这两个过渡与在牛肉马的混合物的重量百分比为重量的马的峰面积百分率的曲线图。如果百分比过渡峰面积相匹配的重量百分比为重量肉则斜率为1。在该图的斜率为1.03，这表明，这些过渡和CPCP对中，过渡峰面积得到的相对量的可靠测量在混合物中这两个肉类。如果在样品中的马肉是两倍富含肌红蛋白作为牛肉然后，与其他因素不变，的斜率<html>线将是大于一。 <img alt="图1" src="/files/ftp_upload/54420/54420fig1.jpg" /> 图1. 的MRM跃迁强度与保留时间为1％w / w的在牛肉马该转换是752→（1269，706，248，1366），在橙，黑，蓝，绿，分别示出。标记肽是HPGDFGADAQGAMTK。四个过渡片段可以表示分别ý13，Y 7，Y 2和Y 14，其中y n表示从肽C-末端在正氨基酸计数。噪声信号变化从23到53以上的四个转变。另外一个红色线表示的0％马，100％牛肉进行比较的752→1269的过渡。只显示的保留时间非零区域。该图已被从Watson等 3修改。ES / ftp_upload / 54420 / 54420fig1large.jpg"目标="_空白"&gt;点击此处查看该图的放大版本。 <img alt="图2" src="/files/ftp_upload/54420/54420fig2.jpg" /> 图2. 情节牛肉马，至于重量百分比重量，相对于牛肉的百分数转变峰区马。该地块使用对肽牛肉（767）和马（752），并为在y 13碎片离子。如果A表示的峰面积那么纵坐标是100 A H /（A H + A B）。最佳拟合线（R 2 = 0.99）的斜率为1.03。这个数字已经从Watson等 3修改。 <a href="https://jove.unicartagenaproxy.elogim.com/files/ftp_upload/54420/54420fig2large.jpg" target="_blank">请点击此处查看本图的放大版本。</a>

Watch this Scientific Journal Video about Species Determination and Quantitation in Mixtures Using MRM Mass Spectrometry of Peptides Applied to Meat Authentication at JoVE.com

Species Determination and Quantitation in Mixtures Using MRM Mass Spectrometry of Peptides Applied to Meat Authentication

We present a protocol for identifying and quantifying the components in mixtures of species possessing similar proteins. Mass spectrometry detects peptides for identification, and gives relative quantitation by ratios of peak areas. As a tool food for fraud detection, the method can detect 1% horse in beef.

种测定和定量混合物中使用肽应用的MRM质谱肉认证

We describe a simple protocol for identifying and quantifying the two components in binary mixtures of species possessing one or more similar proteins. ...

species-determination-quantitation-mixtures-using-mrm-mass

Universidad de Cartagena UDEC

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JoVE Journal

Biochemistry

11.5K 次观看.  Institute of Food Research. We present a protocol for identifying and quantifying the components in mixtures of species possessing similar proteins. Mass spectrometry detects peptides for identification, and gives relative quantitation by ratios of peak areas. As a tool food for fraud detection, the method can detect 1% horse in beef.

视频: Species Determination and Quantitation in Mixtures Using MRM Mass Spectrometry of Peptides Applied to Meat Authentication

Improved Polymerase Chain Reaction-restriction Fragment Length Polymorphism Genotyping of Toxic Pufferfish by Liquid Chromatography/Mass Spectrometry

An improved version of a polymerase chain reaction (PCR)-restriction fragment length polymorphism (RFLP) method for genotyping toxic pufferfish species by liquid chromatography/electrospray ionization mass spectrometry (LC/ESI-MS) is described. DNA extraction is carried out using a silica membrane-based DNA extraction kit. After the PCR amplification using a detergent-free PCR buffer, restriction enzymes are added to the solution without purifying the reaction solution. A reverse-phase silica monolith column and a Fourier transform high resolution mass spectrometer having a modified Kingdon trap analyzer are employed for separation and detection, respectively. The mobile phase, consisting of 400 mM 1,1,1,3,3,3-hexafluoro-2-propanol, 15 mM triethylamine (pH 7.9) and methanol, is delivered at a flow rate of 0.4 ml/min. The cycle time for LC/ESI-MS analysis is 8 min including equilibration of the column. Deconvolution software having an isotope distribution model of the oligonucleotide is used to calculate the corresponding monoisotopic mass from the mass spectrum. For analysis of oligonucleotides (range 26-79 nucleotides), mass accuracy was 0.62 &#177; 0.74 ppm (n = 280) and excellent accuracy and precision were sustained for 180 hr without use of a lock mass standard.

An improved polymerase chain reaction-restriction fragment length polymorphism method for genotyping pufferfish species by liquid chromatography/mass spectrometry is described. A reverse-phase silica monolith column is employed for separating digested amplicons. This method can elucidate the monoisotopic masses of oligonucleotides, which is useful for identifying base composition.

河豚有毒改进的聚合酶链反应 - 限制性片段长度多态性分型液相色谱/质谱法

An improved version of a polymerase chain reaction (PCR)-restriction fragment length polymorphism (RFLP) method for genotyping toxic pufferfish species by ...

科研

遗传学

An HS-MRM Assay for the Quantification of Host-cell Proteins in Protein Biopharmaceuticals by Liquid Chromatography Ion Mobility QTOF Mass Spectrometry

The analysis of low-level (1-100 ppm) protein impurities (e.g., host-cell proteins (HCPs)) in protein biotherapeutics is a challenging assay requiring high sensitivity and a wide dynamic range. Mass spectrometry-based quantification assays for proteins typically involve protein digestion followed by the selective reaction monitoring/multiple reaction monitoring (SRM/MRM) quantification of peptides using a low-resolution (Rs ~1,000) tandem quadrupole mass spectrometer. One of the limitations of this approach is the interference phenomenon observed when the peptide of interest has the "same" precursor and fragment mass (in terms of m/z values) as other co-eluting peptides present in the sample (within a 1-Da window). To avoid this phenomenon, we propose an alternative mass spectrometric approach, a high selectivity (HS) MRM assay that combines the ion mobility separation of peptide precursors with the high-resolution (Rs ~30,000) MS detection of peptide fragments. We explored the capabilities of this approach to quantify low-abundance peptide standards spiked in a monoclonal antibody (mAb) digest and demonstrated that it has the sensitivity and dynamic range (at least 3 orders of magnitude) typically achieved in HCP analysis. All six peptide standards were detected at concentrations as low as 0.1 nM (1 femtomole loaded on a 2.1-mm ID chromatographic column) in the presence of a high-abundance peptide background (2 &#181;g of a mAb digest loaded on-column). When considering the MW of rabbit phosphorylase (97.2 kDa), from which the spiked peptides were derived, the LOQ of this assay is lower than 50 ppm. Relative standard deviations (RSD) of peak areas (n = 4 replicates) were less than 15% across the entire concentration range investigated (0.1-100 nM or 1-1,000 ppm) in this study.

Here, we describe a chromatographic assay coupled with the ion mobility separation of peptide precursors followed by the high-resolution (~30,000) MS-detection of peptide fragments for the quantification of spiked peptide standards in a monoclonal antibody digest.

液相色谱离子迁移 QTOF 质谱测定蛋白质生物中宿主细胞蛋白的 HS-MRM 法

The analysis of low-level (1-100 ppm) protein impurities (e.g., host-cell proteins (HCPs)) in protein biotherapeutics is a challenging assay requiring ...

化学

Single-throughput Complementary High-resolution Analytical Techniques for Characterizing Complex Natural Organic Matter Mixtures

Natural organic matter (NOM) is composed of a highly complex mixture of thousands of organic compounds which, historically, proved difficult to characterize. However, to understand the thermodynamic and kinetic controls on greenhouse gas (carbon dioxide [CO2] and methane [CH4]) production resulting from the decomposition of NOM, a molecular-level characterization coupled with microbial proteome analyses is necessary. Further, climate and environmental changes are expected to perturb natural ecosystems, potentially upsetting complex interactions that influence both the supply of organic matter substrates and the microorganisms performing the transformations. A detailed molecular characterization of the organic matter, microbial proteomics, and the pathways and transformations by which organic matter is decomposed will be necessary to predict the direction and magnitude of the effects of environmental changes. This article describes a methodological throughput for comprehensive metabolite characterization in a single sample by direct injection Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS), gas chromatography mass spectrometry (GC-MS), nuclear magnetic resonance (NMR) spectroscopy, liquid chromatography mass spectrometry (LC-MS), and proteomics analysis. This approach results in a fully-paired dataset which improves statistical confidence for inferring pathways of organic matter decomposition, the resulting CO2 and CH4 production rates, and their responses to environmental perturbation. Herein we present results of applying this method to NOM samples collected from peatlands; however, the protocol is applicable to any NOM sample (e.g., peat, forested soils, marine sediments, etc.).

This protocol describes a single throughput for complementary analytical and omics techniques culminating in a fully-paired characterization of natural organic matter and microbial proteomics in different ecosystems. This approach permits robust comparisons for identifying metabolic pathways and transformations important for describing greenhouse gas production and predicting responses to environmental change.

用于表征复杂天然有机物混合物的单吞吐量互补高分辨率分析技术

Natural organic matter (NOM) is composed of a highly complex mixture of thousands of organic compounds which, historically, proved difficult to ...

环境科学

Exploring the Arginine Methylome by Nuclear Magnetic Resonance Spectroscopy

Protein-bound arginine is commonly methylated in many proteins and regulates their function by altering the physicochemical properties, their interaction with other molecules, including other proteins or nucleic acids. This work presents an easily implementable protocol for quantifying arginine and its derivatives, including asymmetric and symmetric dimethylarginine (ADMA and SDMA, respectively) and monomethyl arginine (MMA). Following protein isolation from biological body fluids, tissues, or cell lysates, a simple method for homogenization, precipitation of proteins, and protein hydrolysis is described. Since the hydrolysates contain many other components, such as other amino acids, lipids, and nucleic acids, a purification step using solid-phase extraction (SPE) is essential. SPE can either be performed manually using centrifuges or a pipetting robot. The sensitivity for ADMA using the current protocol is about 100 nmol/L. The upper limit of detection for arginine is 3 mmol/L due to SPE saturation. In summary, this protocol describes a robust method, which spans from biological sample preparation to NMR-based detection, providing valuable hints and pitfalls for successful work when studying the arginine methylome.

The present protocol describes the preparation and quantitative measurement of free and protein-bound arginine and methyl-arginines by 1H-NMR spectroscopy.

用核磁共振波谱探索精氨酸甲基组

Protein-bound arginine is commonly methylated in many proteins and regulates their function by altering the physicochemical properties, their interaction ...

癌症研究

A Mass Spectrometry-Based Proteomics Approach for Global and High-Confidence Protein R-Methylation Analysis

Protein Arginine (R)-methylation is a widespread protein post-translational modification (PTM) involved in the regulation of several cellular pathways, including RNA processing, signal transduction, DNA damage response, miRNA biogenesis, and translation.
In recent years, thanks to biochemical and analytical developments, mass spectrometry (MS)-based proteomics has emerged as the most effective strategy to characterize the cellular methyl-proteome with single-site resolution. However, identifying and profiling in vivo protein R-methylation by MS remains challenging and error-prone, mainly due to the substoichiometric nature of this modification and the presence of various amino acid substitutions and chemical methyl-esterification of acidic residues that are isobaric to methylation. Thus, enrichment methods to enhance the identification of R-methyl-peptides and orthogonal validation strategies to reduce False Discovery Rates (FDR) in methyl-proteomics studies are required.
Here, a protocol specifically designed for high-confidence R-methyl-peptides identification and quantitation from cellular samples is described, which couples metabolic labeling of cells with heavy isotope-encoded Methionine (hmSILAC) and dual protease in-solution digestion of whole cell extract, followed by off-line High-pH Reversed Phase (HpH-RP) chromatography fractionation and affinity enrichment of R-methyl-peptides using anti-pan-R-methyl antibodies. Upon high-resolution MS analysis, raw data are first processed with the MaxQuant software package and the results are then analyzed by hmSEEKER, a software designed for the in-depth search of MS peak pairs corresponding to light and heavy methyl-peptide within the MaxQuant output files.

Protein Arginine (R)-methylation is a wide-spread post-translational modification regulating multiple biological pathways. Mass spectrometry is the best technology to globally profile the R-methyl-proteome, when coupled to biochemical approaches for modified peptide enrichment. The workflow designed for the high confidence identification of global R-methylation in human cells is described here.

基于质谱的蛋白质组学方法用于全局和高置信度的蛋白质R-甲基化分析

Protein Arginine (R)-methylation is a widespread protein post-translational modification (PTM) involved in the regulation of several cellular pathways, ...

生物化学

Sample Preparation and Relative Quantitation using Reductive Methylation of Amines for Peptidomics Studies

Peptidomics can be defined as the qualitative and quantitative analysis of peptides in a biological sample. Its main applications include identifying the peptide biomarkers of disease or environmental stress, identifying neuropeptides, hormones, and bioactive intracellular peptides, discovering antimicrobial and nutraceutical peptides from protein hydrolysates, and can be used in studies to understand the proteolytic processes. The recent advance in sample preparation, separation methods, mass spectrometry techniques, and computational tools related to protein sequencing has contributed to the increase of the identified peptides number and peptidomes characterized. Peptidomic studies frequently analyze peptides that are naturally generated in cells. Here, a sample preparation protocol based on heat-inactivation is described, which eliminates protease activity, and extraction with mild conditions, so there is no peptide bonds cleavage. In addition, the relative quantitation of peptides using stable isotope labeling by reductive methylation of amines is also shown. This labeling method has some advantages as the reagents are commercially available, inexpensive compared to others, chemically stable, and allows the analysis of up to five samples in a single LC-MS run.

This article describes a sample preparation method based on heat-inactivation to preserve endogenous peptides avoiding degradation post-mortem, followed by relative quantitation using isotopic labeling plus LC-MS.

使用胺还原甲基化进行样品制备和相对定量，用于肽学研究

Peptidomics can be defined as the qualitative and quantitative analysis of peptides in a biological sample. Its main applications include identifying the ...

Workflow Based on the Combination of Isotopic Tracer Experiments to Investigate Microbial Metabolism of Multiple Nutrient Sources

Studies in the field of microbiology rely on the implementation of a wide range of methodologies. In particular, the development of appropriate methods substantially contributes to providing extensive knowledge of the metabolism of microorganisms growing in chemically defined media containing unique nitrogen and carbon sources. In contrast, the management through metabolism of multiple nutrient sources, despite their broad presence in natural or industrial environments, remains virtually unexplored. This situation is mainly due to the lack of suitable methodologies, which hinders investigations.
We report an experimental strategy to quantitatively and comprehensively explore how metabolism operates when a nutrient is provided as a mixture of different molecules, i.e., a complex resource. Here, we describe its application for assessing the partitioning of multiple nitrogen sources through the yeast metabolic network. The workflow combines information obtained during stable isotope tracer experiments using selected 13C- or 15N-labeled substrates. It first consists of parallel and reproducible fermentations in the same medium, which includes a mixture of N-containing molecules; however,a selected nitrogen source is labeled each time. A combination of analytical procedures (HPLC, GC-MS) is implemented to assess the labeling patterns of targeted compounds and to quantify the consumption and recovery of substrates in other metabolites. An integrated analysis of the complete dataset provides an overview of the fate of consumed substrates within cells. This approach requires an accurate protocol for the collection of samples&#8211;facilitated by a robot-assisted system for online monitoring of fermentations&#8211;and the achievement of numerous time-consuming analyses. Despite these constraints, it allowed understanding, for the first time, the partitioning of multiple nitrogen sources throughout the yeast metabolic network. We elucidated the redistribution of nitrogen from more abundant sources toward other N-compounds and determined the metabolic origins of volatile molecules and proteinogenic amino acids.

This protocol describes an experimental procedure to quantitatively and comprehensively investigate the metabolism of multiple nutrient sources. This workflow, based on a combination of isotopic tracer experiments and an analytical procedure, allows the fate of consumed nutrients and the metabolic origin of molecules synthetized by microorganisms to be determined.

基于同位素示踪实验结合的工作流研究多营养源的微生物代谢

Studies in the field of microbiology rely on the implementation of a wide range of methodologies. In particular, the development of appropriate methods ...

生物工程

用于多元素分析的食品样品均质化和消解

Preparation of Food Samples Using Homogenization and Microwave-Assisted Wet Acid Digestion for Multi-Element Determination with ICP-MS

Sample preparation is crucial for elemental determination, and various techniques are available, one of which involves homogenization followed by acid digestion. Special care is required during sample handling in the preparation stage to eliminate or minimize potential contamination and analyte loss. Homogenization is a process that simultaneously reduces particle size and uniformly distributes sample components. Following homogenization, the sample undergoes acid digestion, wherein it is digested with acids and auxiliary chemicals at elevated temperatures, transforming solid samples into a liquid state. In this process, metals in the original sample react with acids to form water-soluble salts. Samples prepared through acid digestion are suitable for elemental analysis using techniques such as inductively coupled plasma mass spectrometry, inductively coupled plasma optical emission spectroscopy, atomic absorption spectroscopy, electrochemical methods, and other analytical techniques. This work details the preparation of food samples for multi-element determination using inductively coupled plasma mass spectrometry. The step-by-step procedure involves the homogenization process using a laboratory-sized mixer with ceramic blades, followed by acid digestion in closed vessels using microwave-assisted wet acid digestion. A mixture of 5.0 mL of 68 wt% HNO3 and 1.0 mL of 30 wt% H2O2 serves as an auxiliary reagent. This guide provides an explanation of the processes involved in both stages.

作者聚焦：食品样品元素分析的技术和挑战

The presented protocol describes sample homogenization with a laboratory mixer, acid digestion of food samples using a mixture of 68 wt% HNO3 and 30 wt% H2O2&#160;via microwave-assisted wet acid digestion, and multi-element determination performed with inductively coupled plasma mass spectrometry.

使用均质化和微波辅助湿酸消解制备食品样品，用于ICP-MS多元素测定

Sample preparation is crucial for elemental determination, and various techniques are available, one of which involves homogenization followed by acid ...

种测定和定量混合物中使用肽应用的MRM质谱肉认证

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河豚有毒改进的聚合酶链反应 - 限制性片段长度多态性分型液相色谱/质谱法

液相色谱离子迁移 QTOF 质谱测定蛋白质生物中宿主细胞蛋白的 HS-MRM 法

用于表征复杂天然有机物混合物的单吞吐量互补高分辨率分析技术

用核磁共振波谱探索精氨酸甲基组

基于质谱的蛋白质组学方法用于全局和高置信度的蛋白质R-甲基化分析

使用胺还原甲基化进行样品制备和相对定量，用于肽学研究

基于同位素示踪实验结合的工作流研究多营养源的微生物代谢

使用均质化和微波辅助湿酸消解制备食品样品，用于ICP-MS多元素测定

使用均质化和微波辅助湿酸消解制备食品样品，用于ICP-MS多元素测定

使用均质化和微波辅助湿酸消解制备食品样品，用于ICP-MS多元素测定