Dataset Information

High Performance IT-MS Sequencing of Glycans (Spatial Resolution of Ovalbumin Isomers).

ABSTRACT: This report outlines and applies a high performance sequencing technology to evaluate the glycome of a common model glycoprotein, ovalbumin. The targets were the N-linked glycans enzymatically released from the protein, the N-glycoproteome. These product glycans were reduced, methylated and directly infused into the MS using a chip-based nanoelectrospray with the ions structurally characterized by sequential disassembly. Ten major ions were selected for detailed analysis. Isomer topologies (glycan connectivity) were determined from ion pathways of disassembly. Linkage information was revealed by specific cross-ring cleavage fragments within smaller oligomers. Both connectivity and linkage features were assisted with described bioinformatic tools and details confirmed with a standards library of fragments. The number of isomeric structures found within these 10 parent ions were 37, more than double earlier reports, and setting a new goal for developing technology. In this non-chromatographic, high performance spatial approach, the focus has been patterned to be comprehensive, and stay within the bounds of a plausible high throughput strategy consistent with automation. Selective structures are described in the text to appraise readers of the general approach; a more comprehensive coverage has been included in supplemental material.

SUBMITTER: Jiao J

PROVIDER: S-EPMC3115573 | biostudies-literature | 2011 Jun

REPOSITORIES: biostudies-literature

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High Performance IT-MS Sequencing of Glycans (Spatial Resolution of Ovalbumin Isomers).

Jiao Jenny J Zhang Hailong H Reinhold Vernon N VN

International journal of mass spectrometry 20110601 2-3

This report outlines and applies a high performance sequencing technology to evaluate the glycome of a common model glycoprotein, ovalbumin. The targets were the N-linked glycans enzymatically released from the protein, the N-glycoproteome. These product glycans were reduced, methylated and directly infused into the MS using a chip-based nanoelectrospray with the ions structurally characterized by sequential disassembly. Ten major ions were selected for detailed analysis. Isomer topologies (glyc ...[more]

PMID: 21686090

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Project description:Highly specialized cells are fundamental for proper functioning of complex organs. Variations in cell-type specific gene expression and protein composition have been linked to a variety of diseases. Although single cell technologies have emerged as valuable tools to address this cellular heterogeneity, a majority of these workflows lack sufficient in situ resolution for functional classification of cells and are associated with extremely long analysis time, especially when it comes to in situ proteomics. In addition, lack of understanding of single cell dynamics within their native environment limits our ability to explore the altered physiology in disease development. This limitation is particularly relevant in the mammalian brain, where different cell types perform unique functions and exhibit varying sensitivities to insults. The hippocampus, a brain region crucial for learning and memory, is of particular interest due to its obvious involvement in various neurological disorders. Here, we present a combination of experimental and data integration approaches for investigation of cellular heterogeneity and functional disposition within the mouse brain hippocampus using MALDI Imaging mass spectrometry (MALDI-IMS) and shotgun proteomics (LC-MS/MS) coupled with laser-capture microdissection (LCM) along with spatial transcriptomics. Within the dentate gyrus granule cells we identified two proteomically distinct cellular subpopulations that are characterized by a substantial number of discriminative proteins. These cellular clusters contribute to the overall functionality of the dentate gyrus by regulating redox homeostasis, mitochondrial organization, RNA processing, and microtubule organization. Importantly, most of the identified proteins matched their transcripts, verifying the in situ protein identification and supporting their functional analyses. By combining high-throughput spatial proteomics with transcriptomics, our approach enables reliable near-single-cell scale identification of proteins and profiling of inter-cellular heterogeneity within similar cell-types in tissues. This methodology has the potential to be applied to different biological conditions and tissues, providing a deeper understanding of cellular subpopulations in situ.

Dataset Information

High Performance IT-MS Sequencing of Glycans (Spatial Resolution of Ovalbumin Isomers).

Publications

High Performance IT-MS Sequencing of Glycans (Spatial Resolution of Ovalbumin Isomers).

Similar Datasets

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