Optimizing Proximity Proteomics on the EvoSep-timsTOF LC-MS System.

IF 3.9 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Proteomics Pub Date : 2025-07-11 DOI:10.1002/pmic.70010
Julia Kitaygorodsky, Brendon Seale, Vesal Kasmaeifar, Reuben Samson, Zhen-Yuan Lin, Martina Tersigni, Saya Sedighi, Cassandra J Wong, Anne-Claude Gingras
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引用次数: 0

Abstract

Proximity-dependent biotinylation (BioID) is a powerful means of exploring the cellular environments in which proteins reside. Expressing a protein of interest (bait) fused to a biotin ligase and adding biotin induces the covalent biotinylation of proximal partners (preys), which are recovered on streptavidin beads and identified by MS. However, a major technical limitation of BioID is peptide carryover into subsequent MS runs. This is typically mitigated via lengthy intersample wash cycles, which lowers throughput considerably. The aim of this study was to optimize BioID sample acquisition using an EvoSep LC system coupled to a timsTOF mass spectrometer, which has higher throughput and sensitivity than our current system, with less carryover. Our efforts resulted in an ∼15-fold increase in throughput using the 60 samples-per-day gradient with better sensitivity, and identifying nearly double the proteins found by our previously standardized workflow. Significance scoring also revealed more sensitive detection of high-confidence proximal interactions (∼1.5-fold) for five well-characterized baits, validating the new experimental workflow. Importantly, carryover was extremely limited, even without intersample washing, and limited to abundant proteins that are easily filtered during data analyses. Without washing, the newly optimized method can process 60 samples per day, using half of the sample amount previously required. SUMMARY: Proximity-dependent biotinylation (PDB) coupled with MS is a powerful approach to characterize subcellular protein localization. However, the carry-over of peptides from the abundant proteins into subsequent MS runs is problematic. While this was previously mitigated by lengthy wash cycles of the chromatography column, this ultimately lowered throughput. The introduction of the EvoSep chromatography system and more sensitive MS instrumentation has enabled robust and fast analysis with lower sample amounts and minimal carry-over. To date, there has been no systematic evaluation of this EvoSep-timsTOF instrumentation for PDB, nor a direct comparison to a previously standardized workflow. This study compares the identifications between these acquisition setups, recommends sample loading and gradient settings for the EvoSep-timsTOF, and investigates the high-confidence proximal interactors identified. The results highlight the necessity of optimization of scoring approaches for PDB alongside faster MS methods to maximize recovery of known high-confidence proximal interactors. Importantly, the EvoSep-timsTOF system substantially increases the effective throughput of MS acquisition, as washing between samples could be eliminated without compromising the recovery of bona fide proximal interactors, likely due to both carry-over reduction from both the EvoSep chromatography system and the decreased sample load.

基于EvoSep-timsTOF LC-MS系统的接近蛋白质组学优化
邻近依赖的生物素化(BioID)是探索蛋白质所在细胞环境的有力手段。将感兴趣的蛋白质(诱饵)融合到生物素连接酶中,并添加生物素,诱导近端伙伴(猎物)的共价生物素化,这些伙伴在链亲和素珠上被回收并通过质谱识别。然而,BioID的主要技术限制是肽携带到后续的质谱运行中。这通常通过长时间的样品清洗周期来缓解,这大大降低了吞吐量。本研究的目的是利用EvoSep LC系统与timsTOF质谱仪耦合来优化生物id样品采集,该系统比我们现有的系统具有更高的通量和灵敏度,并且结转更少。我们的努力使每天60个样品的通量增加了15倍,灵敏度更高,并且鉴定出的蛋白质几乎是我们以前标准化工作流程中发现的蛋白质的两倍。显著性评分还显示,对于五种特征良好的诱饵,高置信度近端相互作用的检测更敏感(~ 1.5倍),验证了新的实验工作流程。重要的是,即使没有样品间洗涤,携带也非常有限,并且仅限于在数据分析过程中容易过滤的丰富蛋白质。无需洗涤,新优化的方法每天可以处理60个样品,使用以前所需样品量的一半。摘要:邻近依赖的生物素化(PDB)与质谱结合是表征亚细胞蛋白定位的有力方法。然而,从丰富的蛋白质中携带多肽进入随后的MS运行是有问题的。虽然以前通过色谱柱的长洗涤周期可以减轻这种情况,但这最终降低了吞吐量。EvoSep色谱系统和更灵敏的质谱仪器的引入,使分析具有更低的样本量和最小的携带量。到目前为止,还没有对这种用于PDB的EvoSep-timsTOF仪器进行系统评估,也没有与以前标准化的工作流程进行直接比较。本研究比较了这些采集设置之间的鉴定,推荐了EvoSep-timsTOF的样品加载和梯度设置,并调查了鉴定的高置信度近端相互作用。结果强调了优化PDB评分方法的必要性,以及更快的MS方法,以最大限度地恢复已知的高置信度近端相互作用。重要的是,EvoSep- timstof系统大大提高了MS采集的有效吞吐量,因为可以消除样品之间的洗涤,而不会影响真正近端相互作用物的恢复,这可能是由于EvoSep色谱系统的结带减少和样品负载的减少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Proteomics
Proteomics 生物-生化研究方法
CiteScore
6.30
自引率
5.90%
发文量
193
审稿时长
3 months
期刊介绍: PROTEOMICS is the premier international source for information on all aspects of applications and technologies, including software, in proteomics and other "omics". The journal includes but is not limited to proteomics, genomics, transcriptomics, metabolomics and lipidomics, and systems biology approaches. Papers describing novel applications of proteomics and integration of multi-omics data and approaches are especially welcome.
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