Suppr超能文献

利用质谱成像技术在微流控装置中对神经元释放的肽进行无标记定量。

Label-free quantitation of peptide release from neurons in a microfluidic device with mass spectrometry imaging.

机构信息

Department of Chemistry and Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.

出版信息

Lab Chip. 2012 May 8;12(11):2037-45. doi: 10.1039/c2lc21085a. Epub 2012 Apr 16.

Abstract

Microfluidic technology allows the manipulation of mass-limited samples and when used with cultured cells, enables control of the extracellular microenvironment, making it well suited for studying neurons and their response to environmental perturbations. While matrix-assisted laser desorption/ionization (MALDI) mass spectrometry (MS) provides for off-line coupling to microfluidic devices for characterizing small-volume extracellular releasates, performing quantitative studies with MALDI is challenging. Here we describe a label-free absolute quantitation approach for microfluidic devices. We optimize device fabrication to prevent analyte losses before measurement and then incorporate a substrate that collects the analytes as they flow through a collection channel. Following collection, the channel is interrogated using MS imaging. Rather than quantifying the sample present via MS peak height, the length of the channel containing appreciable analyte signal is used as a measure of analyte amount. A linear relationship between peptide amount and band length is suggested by modeling the adsorption process and this relationship is validated using two neuropeptides, acidic peptide (AP) and α-bag cell peptide [1-9] (αBCP). The variance of length measurement, defined as the ratio of standard error to mean value, is as low as 3% between devices. The limit of detection (LOD) of our system is 600 fmol for AP and 400 fmol for αBCP. Using appropriate calibrations, we determined that an individual Aplysia bag cell neuron secretes 0.15 ± 0.03 pmol of AP and 0.13 ± 0.06 pmol of αBCP after being stimulated with elevated KCl. This quantitation approach is robust, does not require labeling, and is well suited for miniaturized off-line characterization from microfluidic devices.

摘要

微流控技术允许对质量有限的样品进行操作,并且当与培养细胞一起使用时,可以控制细胞外微环境,非常适合研究神经元及其对环境干扰的反应。虽然基质辅助激光解吸/电离(MALDI)质谱(MS)可用于与微流控设备进行离线耦合,以对小体积细胞外释放物进行特征分析,但 MALDI 进行定量研究具有挑战性。在这里,我们描述了一种用于微流控设备的无标记绝对定量方法。我们优化了设备制造工艺,以防止在测量前分析物损失,然后将一种基底整合到设备中,使分析物在流经收集通道时被收集。收集后,使用 MS 成像对通道进行检测。与通过 MS 峰高定量样品不同,作为分析物量的度量,使用包含可观分析物信号的通道长度。通过模拟吸附过程,提出了肽量与带长度之间的线性关系,并且使用两种神经肽,酸性肽(AP)和α-袋细胞肽[1-9](αBCP)验证了这种关系。长度测量的方差,定义为标准误差与平均值的比值,在设备之间低至 3%。我们系统的检测限(LOD)对于 AP 为 600 fmol,对于 αBCP 为 400 fmol。使用适当的校准,我们确定在被高 KCl 刺激后,单个海兔袋细胞神经元分泌 0.15±0.03 pmol 的 AP 和 0.13±0.06 pmol 的 αBCP。这种定量方法具有稳健性,不需要标记,非常适合从小型化的微流控设备中进行离线特征分析。

相似文献

引用本文的文献

3
Recent advances in mass spectrometry analysis of neuropeptides.近年来神经肽的质谱分析进展。
Mass Spectrom Rev. 2023 Mar;42(2):706-750. doi: 10.1002/mas.21734. Epub 2021 Sep 24.
6
Cell Analysis on Microfluidics Combined with Mass Spectrometry.微流控芯片与质谱联用的细胞分析
Anal Sci. 2021 Feb 10;37(2):249-260. doi: 10.2116/analsci.20R006. Epub 2020 Nov 6.

本文引用的文献

1
2
Microchannel-nanopore device for bacterial chemotaxis assays.用于细菌趋化性分析的微流控-纳米孔装置。
Anal Chem. 2010 Nov 15;82(22):9357-64. doi: 10.1021/ac101977f. Epub 2010 Oct 20.
3
Peptides in the brain: mass spectrometry-based measurement approaches and challenges.脑内肽:基于质谱的测量方法及挑战。
Annu Rev Anal Chem (Palo Alto Calif). 2008;1:451-83. doi: 10.1146/annurev.anchem.1.031207.113053.
6
Neuropeptidomics of the mosquito Aedes aegypti.蚊虫神经肽组学研究
J Proteome Res. 2010 Apr 5;9(4):2006-15. doi: 10.1021/pr901187p.
10
Quantitative peptidomics reveal brain peptide signatures of behavior.定量肽组学揭示行为的脑肽特征。
Proc Natl Acad Sci U S A. 2009 Feb 17;106(7):2383-8. doi: 10.1073/pnas.0813021106. Epub 2009 Jan 28.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验