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An open-source software analysis package for Microspheres with Ratiometric Barcode Lanthanide Encoding (MRBLEs)

机译:带有比例条形码镧系元素编码(MRBLE)的微球的开源软件分析包

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摘要

Multiplexed bioassays, in which multiple analytes of interest are probed in parallel within a single small volume, have greatly accelerated the pace of biological discovery. Bead-based multiplexed bioassays have many technical advantages, including near solution-phase kinetics, small sample volume requirements, many within-assay replicates to reduce measurement error, and, for some bead materials, the ability to synthesize analytes directly on beads via solid-phase synthesis. To allow bead-based multiplexing, analytes can be synthesized on spectrally encoded beads with a 1:1 linkage between analyte identity and embedded codes. Bead-bound analyte libraries can then be pooled and incubated with a fluorescently-labeled macromolecule of interest, allowing downstream quantification of interactions between the macromolecule and all analytes simultaneously via imaging alone. Extracting quantitative binding data from these images poses several computational image processing challenges, requiring the ability to identify all beads in each image, quantify bound fluorescent material associated with each bead, and determine their embedded spectral code to reveal analyte identities. Here, we present a novel open-source Python software package (the mrbles analysis package) that provides the necessary tools to: (1) find encoded beads in a bright-field microscopy image; (2) quantify bound fluorescent material associated with bead perimeters; (3) identify embedded ratiometric spectral codes within beads; and (4) return data aggregated by embedded code and for each individual bead. We demonstrate the utility of this package by applying it towards analyzing data generated via multiplexed measurement of calcineurin protein binding to MRBLEs (Microspheres with Ratiometric Barcode Lanthanide Encoding) containing known and mutant binding peptide motifs. We anticipate that this flexible package should be applicable to a wide variety of assays, including simple bead or droplet finding analysis, quantification of binding to non-encoded beads, and analysis of multiplexed assays that use ratiometric, spectrally encoded beads.
机译:在单个小体积内并行探测多种目标分析物的多重生物测定法大大加快了生物学发现的步伐。基于珠子的多重生物测定法具有许多技术优势,包括接近溶液相动力学,小样品量要求,许多测定法内重复以减少测量误差,并且对于某些珠子材料而言,能够通过固相直接在珠子上合成分析物相合成。为了允许基于珠的多路复用,可以在光谱编码的珠上合成分析物,在分析物标识和嵌入代码之间具有1:1的联系。然后可以合并与珠子结合的分析物库,并与感兴趣的荧光标记大分子一起孵育,从而可以通过单独成像同时对大分子和所有分析物之间的相互作用进行下游定量。从这些图像中提取定量结合数据带来了一些计算图像处理方面的挑战,需要能够识别每个图像中的所有珠子,量化与每个珠子相关的结合的荧光材料并确定其嵌入的光谱代码以揭示分析物的身份。在这里,我们介绍了一个新颖的开源Python软件包(mrbles分析软件包),该软件包提供了必要的工具:(1)在明场显微镜图像中找到编码的珠子; (2)量化与珠子周长相关的结合荧光物质; (3)识别小珠内嵌入的比率光谱代码; (4)返回由嵌入式代码针对每个单个磁珠聚合的数据。我们通过将其应用于分析通过钙调神经磷酸酶蛋白与含有已知和突变结合肽基序的MRBLE(具有比例条形码镧系元素编码的微球)的结合测量而生成的数据来证明此程序包的实用性。我们预计,这种灵活的包装应适用于多种测定,包括简单的珠或液滴发现分析,与未编码珠结合的定量分析,以及使用比例,光谱编码珠的多重测定的分析。

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