Mapping the biomolecular deregulation in colorectal cancer using LC-MS/MS-based N-glycomics and proteomics: a quest for potential biomarkers

Thesis by publication.Bibliography: pags325-345.Colorectal cancer (CRC) is one of the most prevalent cancers worldwide. It follows a gradual progression from small polyps to early and late metastatic stages where it spreads to distant organs. There is an urgent need to develop reliable markers for the early detection of CRC when treatment options are more effective. To meet this need, an increased molecular understanding of the CRC pathology is warranted to gain insight into the underlying molecular and cellular mechanisms of the disease. The work described in this Ph.D. thesis build on a proteogenomic precursor study performed inhouse of three phenotypically and pathologically different CRC-relevant human cell lines (LIM1215, LIM1899 and LIM2405) from where a number of putatively N-glycosylated and cancer associated proteins were identified. This thesis aimed to further expand the knowledge of the biomolecular signatures associated of CRC by mapping, at the highest possible molecular resolution, the system-wide deregulation of the proteome and the protein N-glycome associated with the disease. Importantly, this structural investigation was undertaken both in vitro and in vivo using modern LC-MS/MS technologies and pathologically relevant and well-studied (LIM) cell lines and clinically relevant tissue specimen. Protein N-glycosylation was of particular interest since it a known regulator of malignant processes and an important molecular hallmark of cancer.Mode of access: World wide web1 online resource (xxv, 387 pages) illustrations (some colour

Mass Spectrometry-Based N-Glycomics of Colorectal Cancer

Colorectal cancer (CRC) is one of the most prevalent cancers worldwide. An increased molecular understanding of the CRC pathology is warranted to gain insights into the underlying molecular and cellular mechanisms of the disease. Altered protein glycosylation patterns are associated with most diseases including malignant transformation. Recent advances in mass spectrometry and bioinformatics have accelerated glycomics research and present a new paradigm for cancer biomarker discovery. Mass spectrometry (MS)-based glycoproteomics and glycomics, therefore, hold considerable promise to improve the discovery of novel biomarkers with utility in disease diagnosis and therapy. This review focuses on the emerging field of glycomics to present a comprehensive review of advances in technologies and their application in studies aimed at discovering novel glycan-based biomarkers. We will also discuss some of the challenges associated with using glycans as biomarkers

Using single lectins to enrich glycoproteins in conditioned media

Lectins are sugar-binding proteins that can recognize and bind to carbohydrates conjugated to proteins and lipids. Coupled with mass spectrometry technologies, lectin affinity chromatography is becoming a popular approach for identification and quantification of glycoproteins in complex samples such as blood, tumor tissues, and cell lines. Given the commercial availability of a large number of lectins that recognize diverse sugar structures, it is now possible to isolate and study glycoproteins for biological and medical research. This unit provides a general guide to single-lectin-based enrichment of glycoproteins from serum-free conditioned media. Due to the unique carbohydrate specificity of most lectins and the complexity of the samples, optimization steps may be required to evaluate different elution buffers and methods as well as binding conditions, for each lectin, for optimal recovery of bound glycoproteins.10 page(s

Heparan sulfate: Resilience factor and therapeutic target for cocaine abuse

Abstract Substance abuse is a pressing problem with few therapeutic options. The identification of addiction resilience factors is a potential strategy to identify new mechanisms that can be targeted therapeutically. Heparan sulfate (HS) is a linear sulfated polysaccharide that is a component of the cell surface and extracellular matrix. Heparan sulfate modulates the activity and distribution of a set of negatively charged signaling peptides and proteins — known as the HS interactome — by acting as a co-receptor or alternative receptor for growth factors and other signaling peptides and sequestering and localizing them, among other actions. Here, we show that stimulants like cocaine and methamphetamine greatly increase HS content and sulfation levels in the lateral hypothalamus and that HS contributes to the regulation of cocaine seeking and taking. The ability of the HS-binding neuropeptide glial-cell-line-derived neurotrophic factor (GDNF) to increase cocaine intake was potentiated by a deletion that abolished its HS binding. The delivery of heparanase, the endo-β-D-glucuronidase that degrades HS, accelerated the acquisition of cocaine self-administration and promoted persistent responding during extinction. Altogether, these results indicate that HS is a resilience factor for cocaine abuse and a novel therapeutic target for the treatment of cocaine addiction

In-Depth Matrisome and Glycoproteomic Analysis of Human Brain Glioblastoma Versus Control Tissue.

Glioblastoma (GBM) is the most common and malignant primary brain tumor. The extracellular matrix, also known as the matrisome, helps determine glioma invasion, adhesion, and growth. Little attention, however, has been paid to glycosylation of the extracellular matrix components that constitute the majority of glycosylated protein mass and presumed biological properties. To acquire a comprehensive understanding of the biological functions of the matrisome and its components, including proteoglycans (PGs) and glycosaminoglycans (GAGs), in GBM tumorigenesis, and to identify potential biomarker candidates, we studied the alterations of GAGs, including heparan sulfate (HS) and chondroitin sulfate (CS), the core proteins of PGs, and other glycosylated matrisomal proteins in GBM subtypes versus control human brain tissue samples. We scrutinized the proteomics data to acquire in-depth site-specific glycoproteomic profiles of the GBM subtypes that will assist in identifying specific glycosylation changes in GBM. We observed an increase in CS 6-O sulfation and a decrease in HS 6-O sulfation, accompanied by an increase in unsulfated CS and HS disaccharides in GBM versus control samples. Several core matrisome proteins, including PGs (decorin, biglycan, agrin, prolargin, glypican-1, and chondroitin sulfate proteoglycan 4), tenascin, fibronectin, hyaluronan link protein 1 and 2, laminins, and collagens, were differentially regulated in GBM versus controls. Interestingly, a higher degree of collagen hydroxyprolination was also observed for GBM versus controls. Further, two PGs, chondroitin sulfate proteoglycan 4 and agrin, were significantly lower, about 6-fold for isocitrate dehydrogenase-mutant, compared to the WT GBM samples. Differential regulation of O-glycopeptides for PGs, including brevican, neurocan, and versican, was observed for GBM subtypes versus controls. Moreover, an increase in levels of glycosyltransferase and glycosidase enzymes was observed for GBM when compared to control samples. We also report distinct protein, peptide, and glycopeptide features for GBM subtypes comparisons. Taken together, our study informs understanding of the alterations to key matrisomal molecules that occur during GBM development. (Data are available via ProteomeXchange with identifier PXD028931, and the peaks project file is available at Zenodo with DOI 10.5281/zenodo.5911810)

Comparative N-glycan profiling of colorectal cancer cell lines reveals unique bisecting GlcNAc and α-2,3-linked sialic acid determinants are associated with membrane proteins of the more metastatic/aggressive cell lines

Advances in colorectal cancer (CRC) diagnosis will be enhanced by development of more sensitive and reliable methods for early detection of the disease when treatment is more effective. Because many known disease biomarkers are membrane-bound glycoproteins with important biological functions, we chose to compare N-glycan profiles of membrane proteins from three phenotypically different CRC cell lines, LIM1215, LIM1899, and LIM2405, representing moderately differentiated metastatic, moderately differentiated primary, and poorly differentiated (aggressive) primary CRC cell lines, respectively. The N-glycan structures and their relative abundances were determined as their underivatized reduced forms, using porous graphitized carbon LC-ESI-MS/MS. A key observation was the similar N-glycan landscape in these cells with the dominance of high mannose type glycan structures (70-90%) in all three cell lines, suggesting an incomplete glycan processing. Importantly, unique glycan determinants such as bisecting N-acetylglucosamine were observed at a high level in the metastatic LIM1215 cells, with some expressed in the moderately differentiated LIM1899, while none were detected in the poorly differentiated LIM2405 cells. Conversely, α-2,3-sialylation was completely absent in LIM1215 and LIM1899 and present only in LIM2405. RNA-Seq and lectin immunofluorescence data correlated well with these data, showing the highest upregulation of Mgat3 and binding with PHA-E in LIM1215. Downregulation of Man1α1 and Mgat1 in LIM1215 also coincided with the higher degree of incomplete N-glycan processing and accumulation of high mannose type structures as well as bisecting N-glycans when compared to the other two cell lines. This study provides a comprehensive analysis of the membrane N-glycome in three CRC cell lines and identifies N-glycosylation differences that correlate with the histological and pathological features of the cell lines. The unique glycosylation phenotypes may therefore serve as a molecular feature to differentiate CRC disease stages.12 page(s

Chromosome 7-centric analysis of proteomics data from a panel of human colon carcinoma cell lines

In this manuscript, we describe a shotgun proteomics approach for a comprehensive proteomic analysis of samples including total lysates, membrane, secretome, and exosome fractions from a panel of colorectal cancer cell lines. We will present an analysis of our proteomics data in two alternative formats. First we will discuss a traditional analysis of our data, in which we identify a number of cancer-associated proteins using various proteomic data analysis tools. In a second approach, we use a chromosome format to organize the proteomic data on chromosome 7, allowing the identification of clusters of cancer-associated genes with boundaries defined by physical proximity on different chromosomes.8 page(s

Quantitative proteomic analysis of paired colorectal cancer and non-tumorigenic tissues reveals signature proteins and perturbed pathways involved in CRC progression and metastasis

Modern proteomics has proven instrumental in our understanding of the molecular deregulations associated with the development and progression of cancer. Herein, we profile membrane-enriched proteome of tumor and adjacent normal tissues from eight CRC patients using label-free nanoLC-MS/MS-based quantitative proteomics and advanced pathway analysis. Of the 948 identified proteins, 184 proteins were differentially expressed (P1.5) between the tumor and non-tumor tissue (69 up-regulated and 115 down-regulated in tumor tissues). The CRC tumor and non-tumor tissues clustered tightly in separate groups using hierarchical cluster analysis of the differentially expressed proteins, indicating a strong CRC-association of this proteome subset. Specifically, cancer associated proteins such as FN1, TNC, DEFA1, ITGB2, MLEC, CDH17, EZR and pathways including actin cytoskeleton and RhoGDI signaling were deregulated. Stage-specific proteome signatures were identified including up-regulated ribosomal proteins and down-regulated annexin proteins in early stage CRC. Finally, EGFR⁺ CRC tissues showed an EGFR-dependent down-regulation of cell adhesion molecules, relative to EGFR⁻ tissues. Taken together, this study provides a detailed map of the altered proteome and associated protein pathways in CRC, which enhances our mechanistic understanding of CRC biology and opens avenues for a knowledge-driven search for candidate CRC protein markers.14 page(s