Dataset Information

High-Throughput Automated Micro-permethylation for Glycan Structure Analysis.

ABSTRACT: Permethylation is an essential technique for the detailed structural characterization of glycans by mass spectrometry. However, it requires specialized skills and equipment and is labor-intensive. While this limits glycan analysis to a handful of experts, the increasing awareness of the tremendous importance of glycans in physiological processes of health and disease has drastically raised the demand for detailed structural characterization of glycans. We have developed a simple microplate permethylation method that relies upon solid phase extraction using C18 tips to purify the permethylated glycans. The procedure is easy to perform, making it accessible to nonexperts, and fast, promising to accelerate glycan research. A 96-well plate of released glycan samples can be permethylated in less than an hour. The procedure can be carried out without discontinuous steps in an automatic pipet and integrated seamlessly with glycan release and mass spectrometry.

SUBMITTER: Shajahan A

PROVIDER: S-EPMC6980378 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature

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High-Throughput Automated Micro-permethylation for Glycan Structure Analysis.

Shajahan Asif A Supekar Nitin N Heiss Christian C Azadi Parastoo P

Analytical chemistry 20181221 2

Permethylation is an essential technique for the detailed structural characterization of glycans by mass spectrometry. However, it requires specialized skills and equipment and is labor-intensive. While this limits glycan analysis to a handful of experts, the increasing awareness of the tremendous importance of glycans in physiological processes of health and disease has drastically raised the demand for detailed structural characterization of glycans. We have developed a simple microplate perme ...[more]

PMID: 30572707

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Project description:IntroductionMicro-computed tomography (μCT) is a valuable imaging modality for longitudinal quantification of bone volumes to identify disease or treatment effects for a broad range of conditions that affect bone health. Complex structures, such as the hindpaw with up to 31 distinct bones in mice, have considerable analytic potential, but quantification is often limited to a single bone volume metric due to the intensive effort of manual segmentation. Herein, we introduce a high-throughput, user-friendly, and semi-automated method for segmentation of murine hindpaw μCT datasets.MethodsIn vivo μCT was performed on male (n = 4; 2-8-months) and female (n = 4; 2-5-months) C57BL/6 mice longitudinally each month. Additional 9.5-month-old male C57BL/6 hindpaws (n = 6 hindpaws) were imaged by ex vivo μCT to investigate the effects of resolution and integration time on analysis outcomes. The DICOMs were exported to Amira software for the watershed-based segmentation, and watershed markers were generated automatically at approximately 80% accuracy before user correction. The semi-automated segmentation method utilizes the original data, binary mask, and bone-specific markers that expand to the full volume of the bone using watershed algorithms.ResultsCompared to the conventional manual segmentation using Scanco software, the semi-automated approach produced similar raw bone volumes. The semi-automated segmentation also demonstrated a significant reduction in segmentation time for both experienced and novice users compared to standard manual segmentation. ICCs between experienced and novice users were >0.9 (excellent reliability) for all but 4 bones.DiscussionThe described semi-automated segmentation approach provides remarkable reliability and throughput advantages. Adoption of the semi-automated segmentation approach will provide standardization and reliability of bone volume measures across experienced and novice users and between institutions. The application of this model provides a considerable strategic advantage to accelerate various research opportunities in pre-clinical bone and joint analysis towards clinical translation.

Project description:Glycan permethylation was introduced as a tool to facilitate the study of glycans in 1903. Since that time, permethylation procedures have been continually modified to improve permethylation efficiency and qualitative applicability. Typically, however, either laborious preparation steps or cumbersome and uneconomical spin columns have been needed to obtain decent permethylation yields on small glycan samples. Here we describe a spin column-free (SCF) glycan permethylation procedure that is applicable to both O- and N-linked glycans and can be employed upstream to intact glycan analysis by MALDI-MS, ESI-MS, or glycan linkage analysis by GC-MS. The SCF procedure involves neutralization of NaOH beads by acidified phosphate buffer, which eliminates the risk of glycan oxidative degradation and avoids the use of spin columns. Optimization of the new permethylation procedure provided high permethylation efficiency for both hexose (>98%) and HexNAc (>99%) residues-yields which were comparable to (or better than) those of some widely-used spin column-based procedures. A light vs. heavy labelling approach was employed to compare intact glycan yields from a popular spin-column based approach to the SCF approach. Recovery of intact N-glycans was significantly better with the SCF procedure (p < 0.05), but overall yield of O-glycans was similar or slightly diminished (p < 0.05 for tetrasaccharides or smaller). When the SCF procedure was employed upstream to hydrolysis, reduction and acetylation for glycan linkage analysis of pooled glycans from unfractionated blood plasma, analytical reproducibility was on par with that from previous spin column-based "glycan node" analysis results. When applied to blood plasma samples from stage III-IV breast cancer patients (n = 20) and age-matched controls (n = 20), the SCF procedure facilitated identification of three glycan nodes with significantly different distributions between the cases and controls (ROC c-statistics > 0.75; p < 0.01). In summary, the SCF permethylation procedure expedites and economizes both intact glycan analysis and linkage analysis of glycans from whole biospecimens.

Dataset Information

High-Throughput Automated Micro-permethylation for Glycan Structure Analysis.

Publications

High-Throughput Automated Micro-permethylation for Glycan Structure Analysis.

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