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MaxDIA支持基于文库和无文库的数据非依赖型采集蛋白质组学。

MaxDIA enables library-based and library-free data-independent acquisition proteomics.

作者信息

Sinitcyn Pavel, Hamzeiy Hamid, Salinas Soto Favio, Itzhak Daniel, McCarthy Frank, Wichmann Christoph, Steger Martin, Ohmayer Uli, Distler Ute, Kaspar-Schoenefeld Stephanie, Prianichnikov Nikita, Yılmaz Şule, Rudolph Jan Daniel, Tenzer Stefan, Perez-Riverol Yasset, Nagaraj Nagarjuna, Humphrey Sean J, Cox Jürgen

机构信息

Computational Systems Biochemistry Research Group, Max-Planck Institute of Biochemistry, Martinsried, Germany.

Chan Zuckerberg Biohub, San Francisco, CA, USA.

出版信息

Nat Biotechnol. 2021 Dec;39(12):1563-1573. doi: 10.1038/s41587-021-00968-7. Epub 2021 Jul 8.

Abstract

MaxDIA is a software platform for analyzing data-independent acquisition (DIA) proteomics data within the MaxQuant software environment. Using spectral libraries, MaxDIA achieves deep proteome coverage with substantially better coefficients of variation in protein quantification than other software. MaxDIA is equipped with accurate false discovery rate (FDR) estimates on both library-to-DIA match and protein levels, including when using whole-proteome predicted spectral libraries. This is the foundation of discovery DIA-hypothesis-free analysis of DIA samples without library and with reliable FDR control. MaxDIA performs three- or four-dimensional feature detection of fragment data, and scoring of matches is augmented by machine learning on the features of an identification. MaxDIA's bootstrap DIA workflow performs multiple rounds of matching with increasing quality of recalibration and stringency of matching to the library. Combining MaxDIA with two new technologies-BoxCar acquisition and trapped ion mobility spectrometry-both lead to deep and accurate proteome quantification.

摘要

MaxDIA是一个用于在MaxQuant软件环境中分析数据非依赖型采集(DIA)蛋白质组学数据的软件平台。通过使用光谱库,MaxDIA实现了深度蛋白质组覆盖,在蛋白质定量方面的变异系数比其他软件要好得多。MaxDIA在库与DIA匹配以及蛋白质水平上都具备准确的错误发现率(FDR)估计,包括使用全蛋白质组预测光谱库时。这是对无库DIA样本进行发现性DIA无假设分析且具有可靠FDR控制的基础。MaxDIA对片段数据进行三维或四维特征检测,并且通过对鉴定特征进行机器学习来增强匹配评分。MaxDIA的自展DIA工作流程会进行多轮匹配,随着重新校准质量的提高和与库匹配的严格性增加。将MaxDIA与两种新技术——BoxCar采集和阱式离子淌度光谱法——相结合,都能实现深度且准确的蛋白质组定量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/489f/8668435/8aa0b7a41769/41587_2021_968_Fig1_HTML.jpg

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