High-performance targeted mass spectrometry with precision data-independent acquisition reveals site-specific glycosylation macroheterogeneity

Protein glycosylation is a critical post-translational modification that regulates the structure, stability, and function of many proteins. Mass spectrometry is currently the preferred method for qualitative and quantitative characterization of glycosylation. However, the inherent heterogeneity of glycosylation makes its analysis difficult. Quantification of glycosylation occupancy, or macroheterogeneity, has proven to be especially challenging. Here, we used a variation of high-resolution multiple reaction monitoring (MRM^HR) or pseudo-MRM for targeted data-independent acquisition that we term SWAT (sequential window acquisition of targeted fragment ions). We compared the analytical performance of SWATH (sequential window acquisition of all theoretical fragment ions), SWAT, and SRM (selected reaction monitoring) using a suite of synthetic peptides spiked at various concentrations into a complex yeast tryptic digest sample. SWAT provided superior analytical performance to SWATH in a targeted approach. We then used SWAT to measure site-specific N-glycosylation occupancy in cell wall glycoproteins from yeast with defects in the glycosylation biosynthetic machinery. SWAT provided robust measurement of occupancy at more N-glycosylation sites and with higher precision than SWATH, allowing identification of novel glycosylation sites dependent on the Ost3p and Ost6p regulatory subunits of oligosaccharyltransferase.     

Machine learning approaches in MALDI-MSI: clinical applications

Introduction: Despite the unquestionable advantages of Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging in visualizing the spatial distribution and the relative abundance of biomolecules directly on-tissue, the yielded data is complex and high dimensional. Therefore, analysis and interpretation of this huge amount of information is mathematically, statistically and computationally challenging.

Areas covered: This article reviews some of the challenges in data elaboration with particular emphasis on machine learning techniques employed in clinical applications, and can be useful in general as an entry point for those who want to study the computational aspects. Several characteristics of data processing are described, enlightening advantages and disadvantages. Different approaches for data elaboration focused on clinical applications are also provided. Practical tutorial based upon Orange Canvas and Weka software is included, helping familiarization with the data processing.

Expert commentary: Recently, MALDI-MSI has gained considerable attention and has been employed for research and diagnostic purposes, with successful results. Data dimensionality constitutes an important issue and statistical methods for information-preserving data reduction represent one of the most challenging aspects. The most common data reduction methods are characterized by collecting independent observations into a single table. However, the incorporation of relational information can improve the discriminatory capability of the data.     

基于质谱的蛋白质N末端乙酰化程度定量方法的研究

随着质谱技术及各种定量方法的不断完善和发展,定量蛋白质组学的方法不断地被应用到各类生物学研究中。蛋白质组学定性定量数据的处理主要通过一些多功能的商业化或者开源软件来进行,如常用的数据分析软件Proteome Discoverer和Maxquant。但是在通过化学标记对蛋白质N末端乙酰化程度进行定量这一方面,Proteome Discoverer和Maxquant在一定程度上存在准确性不高和完整度不够的问题。于是本研究针对自己的实验特点,通过Java算法编写了相应的定量程序Acequant来完成N末端乙酰化程度的相对定量。本研究将该程序在已有相关报道的He La cell上进行了验证,Acequant共定量到1 587个蛋白质N末端,而Proteome Discoverer和Maxquant分别只定量到42个和306个N末端。同时,手动验证原始图谱也证实了Acequant定量的准确性更好。于是,本研究将此方法进一步应用到秀丽隐杆线虫N末端乙酰化的研究中,并初步发现了线虫整体的N末端乙酰化状态,为进一步的N末端研究提供了支持。     

Bayesian Confidence Intervals for Multiplexed Proteomics Integrate Ion-statistics with Peptide Quantification Concordance,

1. Download : Download high-res image (74KB)
2. Download : Download full-size image

Highlights

• •Bayesian Beta-Binomial model integrates ion statistics with peptide ratio agreement.
• •Model appropriately interprets information from low signal peptides.
• •Confidence can be assigned even without replicates.
• •Model adds sensitivity to detection of small changes.

     

Quantitative Microproteomics Based Characterization of the Central and Peripheral Nervous System of a Mouse Model of Krabbe Disease

1. Download : Download high-res image (139KB)
2. Download : Download full-size image

Highlights

• •Quantitative microproteomics to study the CNS and PNS of the Twitcher mouse.
• •10plex TMT experiments on corpus callosum, motor cortex and sciatic nerves extracts.
• •More than 400 proteins groups deregulated between Twitcher and wildtype mice.
• •New insights into the molecular mechanisms of Krabbe disease.

     

Spatial Distribution of Endogenous Tissue Protease Activity in Gastric Carcinoma Mapped by MALDI Mass Spectrometry Imaging

1. Download : Download high-res image (100KB)
2. Download : Download full-size image

Highlights

• •New MALDI MS imaging sample preparation workflow reveals tissue protease activity.
• •Differential time- and inhibitor concentration-dependence confirm active proteases.
• •Mouse gastric tumor displays high protease activity compared to surrounding tissue.
• •Proteomic data and biochemical protease activity assay support MALDI MSI results.

     

Redundancy and Complementarity between ERAP1 and ERAP2 Revealed by their Effects on the Behcet's Disease-associated HLA-B*51 Peptidome,

1. Download : Download high-res image (120KB)
2. Download : Download full-size image

Highlights

• •HLA-B*51 and ERAP1, but not ERAP2, are risk factors for Behçet's disease.
• •The HLA-B*51 peptidome and the effects of ERAP1 and ERAP2 on it are analyzed.
• •ERAP1 and ERAP2 alter multiple features of the HLA-B*51 peptidome in distinct ways.
• •Both enzymes act independently with complementary and partially redundant functions.

     

microRNA-222 Attenuates Mitochondrial Dysfunction During Transmissible Gastroenteritis Virus Infection

1. Download : Download high-res image (93KB)
2. Download : Download full-size image

Highlights

• •microRNA-222 attenuates TGEV-induced mitochondrial dysfunction.
• •microRNA-222 downregulates THBS1 and CD47.
• •THBS1 is the target of microRNA-222 during TGEV infection.
• •THBS1 and CD47 increase mitochondrial Ca²⁺ level and reduced mitochondrial membrane potential (MMP).