O-linked mucin-type glycosylation regulates the transcriptional programme downstream of EGFR in breast cancer.
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE107629 | GEO | 2020/12/04
REPOSITORIES: GEO
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Project description:Our lab has previously used the Glyco v3 gene-chip to analyze RNA from human macrophages and T-cells, as part of a project examining the effect of cellular origin on the viral infectivity of HIV/SIV. Our experiments have led us to hypothesize that the different glycosylation pathways present in macrophages and T-cells result in the production of virions with differently glycosylated viral proteins and different glycans present on the virion surface. Furthermore, studies with glycosidases using the Glyco v3 gene-chip have indicated that these differences in the glycosylation profiles of virions derived from different cell types may influence viral infectivity.
2011-06-14 | GSE29924 | GEO
Project description:Our lab has previously used the Glyco v3 gene-chip to analyze RNA from human macrophages and T-cells, as part of a project examining the effect of cellular origin on the viral infectivity of HIV/SIV. Our experiments have led us to hypothesize that the different glycosylation pathways present in macrophages and T-cells result in the production of virions with differently glycosylated viral proteins and different glycans present on the virion surface. Furthermore, studies with glycosidases using the Glyco v3 gene-chip have indicated that these differences in the glycosylation profiles of virions derived from different cell types may influence viral infectivity. Here we used glyco v3 chips for identifying the enzymes active in the glycosylation pathways of 174xCEM and 293 cells, which are cell types commonly used in HIV and SIV research. These analyses will allow us a better understanding of the role of glycans and glycosylation in cell-type specific effects on viral infectivity because there is a much larger amount of data on virus derived from these cell types and we will be able to relate our studies more directly to previous work in our lab and other labs. RNA from 174xCEM and HEK293 cells, cell types commonly used in HIV and SIV research, was isolated and sent to Microarray Core (E). RNA was prepared in duplicate, totaling 4 samples. Samples were labeled and hybridized to the GLYCOv3 array and gene expression patterns were used to identify enzymes active in glycosylation pathways.
2011-06-14 | E-GEOD-29924 | biostudies-arrayexpress
Project description:Dysregulation of glyco-gene expression in cancer can lead to aberrant glycans and glycoconjugates, which in turn can promote tumorigenesis. Cervical cancer display augmentation of aberrant sialylated glycans and increase of glyco-genes, which encoded enzymes participate in the sialylation pathways. Besides sialiltranferases, other glyco-genes, analyzed individually are reported as altered in cervical cancer. Here we show a comprehensive analysis of glyco-gene expression in cervical cancer to obtain a wide scenery of global changes in glycosylation pathways. First, we compared glyco-gene expression between normal tissue and cervical cancer. Second, we analyzed the glycogene expression in subtypes of cc to obtain hallmarks of glyco-gene expression in each case. Our results indicate that in cervical cancer the GPI-anchored biosynthesis is increased in cc while the synthesis of chondroitin and dermatan sulfate are decreased. Moreover, data show that adenocarcinoma displayed a homogenous glyco-gene expression pattern, where chondroitin /dermatan sulfate and heparan sulfate glycogenes are decreased, while keratan sulfate genes are increased. Dysregulation of glyco-gene expression in cancer can lead to aberrant glycans and glycoconjugates, which in turn can promote tumorigenesis. Cervical cancer display augmentation of aberrant sialylated glycans and increase of glyco-genes, which encoded enzymes participate in the sialylation pathways. Besides sialiltranferases, other glyco-genes, analyzed individually are reported as altered in cervical cancer. Here we show a comprehensive analysis of glyco-gene expression in cervical cancer to obtain a wide scenery of global changes in glycosylation pathways. First, we compared glyco-gene expression between normal tissue and cervical cancer. Second, we analyzed the glycogene expression in subtypes of cc to obtain hallmarks of glyco-gene expression in each case. Our results indicate that in cervical cancer the GPI-anchored biosynthesis is increased in cc while the synthesis of chondroitin and dermatan sulfate are decreased. Moreover, data show that adenocarcinoma displayed a homogenous glyco-gene expression pattern, where chondroitin /dermatan sulfate and heparan sulfate glycogenes are decreased, while keratan sulfate genes are increased.
2020-10-24 | GSE159976 | GEO
Project description:Colorectal cancer, one of the most frequent types of malignancy in the Western world, develops through a multi-step process. The main pathways establishing transformation of normal mucosa to invasive carcinoma include chromosomal instability (CIN), microsatellite instability (MSI) or epigenetic silencing through the CpG Island Methylator Phenotype (CIMP). These pathways have distinct clinical, pathological and genetic characteristics. In general, altered cell surface glycosylation has been linked to colorectal cancer progression, however the impact of MSI-specific pathways on the glycosylation machinery of MSI colon cancer cells has not been investigated yet. In a recent study (Patsos et al., 2009) we have shown that MSI-specific mutations induce marked alterations in cell surface glycosylation, indicating specific changes in the expression of glyco-genes. Therefore the purpose of our experiment is to define these changes by glyco-gene chip analysis.
2011-09-06 | GSE31927 | GEO
Project description:Activation of murine CD4+ and CD8+ T lymphocytes leads to dramatic remodeling of N-linked glycans. Naïve and activated CD4 T cells, CD8 T cells and B cells were compared for their N-linked glycan structures by MALDI-TOF MS profiling and for expression of glycan transferase genes to assess the biosynthetic basis for any change observed. The major change observed in activated CD4 and CD8 T cells was dramatic reduction of sialylated bi-antennary N-glycans carrying the terminal NeuGc?2-6Gal sequence, and corresponding increase in glycans carrying the Gal?1-3Gal sequence. This change was accounted for by a decrease in the expression of the sialyltransferase ST6Gal, and increase in the expression of the galactosyltransferase ?1-3GalT. Conversely, in B cells no change in terminal sialylation of N-linked glycans was evident, and the expression of the same two glycosyltransferases were increased and decreased, respectively. Keywords = N-linked glycosylation, T cell, B cell, activation, glycosyltransferase, carbohydrate, glycomics, glycan, galactosyltransferase, sialyltransferase Keywords: other
2005-05-03 | GSE2554 | GEO
Project description:Colorectal cancer, one of the most frequent types of malignancy in the Western world, develops through a multi-step process. The main pathways establishing transformation of normal mucosa to invasive carcinoma include chromosomal instability (CIN), microsatellite instability (MSI) or epigenetic silencing through the CpG Island Methylator Phenotype (CIMP). These pathways have distinct clinical, pathological and genetic characteristics. In general, altered cell surface glycosylation has been linked to colorectal cancer progression, however the impact of MSI-specific pathways on the glycosylation machinery of MSI colon cancer cells has not been investigated yet. In a recent study (Patsos et al., 2009) we have shown that MSI-specific mutations induce marked alterations in cell surface glycosylation, indicating specific changes in the expression of glyco-genes. Therefore the purpose of our experiment is to define these changes by glyco-gene chip analysis. Biallelic mutational inactivation of MSI target genes is believed to drive MSI tumorigenesis. TGFBR2, ACVR2 and AIM2 are among the most frequently mutated genes in MSI colorectal adenomas and carcinomas and functional studies indicate their contribution to MSI-carcinogenesis. A first general screening approach by lectin FACS analysis indicated a correlation between functional inactivation of these genes and cell surface glycosylation of the MSI colon cell line HCT116 (Patsos et al., 2009). For detailed analysis of the altered glycosylation pattern and the underlying molecular mechanisms we have established HCT116 double stable transfectants that allow doxycycline-inducible expression of the three MSI target genes TGFBR2, ACVR2 and AIM2 in a reversible manner. Thus we can experimentally control the expression of the MSI-genes and analyze short and long-term effects on different cell functions, including glycosylation. From the application of the glyco-gene chip for analysis of the transfectants we expect to gain seminal information on the influence of MSI-target genes on glycan expression and function in MSI tumor cells. Correlating loss-of-function of MSI target genes not yet linked with glycosylation to the regulation of the glycophenotype is a novel approach to investigate the glycobiology of tumor cells. In addition it is also suitable to detect new MSI-(glyco)markers for clinical applications, including diagnostic tumor markers and specific targets for immunotherapies.
2011-09-05 | E-GEOD-31927 | biostudies-arrayexpress
Project description:In 2005, we determined the glyco-gene expression profile of three normal subjects ( www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE27593). This led to information on the biosynthesis of mucin O-glycans and glycoproteins that may be involved in the protection of the ocular surface. The interaction of the most highly expressed glycoprotein identified by the glyco-gene chip, galectin-3, with other ligands at the ocular surface (i.e., mucin O-glycans), is now under intense study in our laboratory, and has lead to a collaboration with another group in the glycobiology field.
2011-04-29 | GSE28941 | GEO
Project description:Various cancers such as colorectal cancer (CRC) are associated with alterations in protein glycosylation. CRC cell lines are frequently used to study these (glyco)biological changes and their mechanisms. However, differences between CRC cell lines with regard to their glycosylation have hitherto been largely neglected. Here, we comprehensively characterized the N-glycan profiles of 25 different CRC cell lines, derived from primary tumors and metastatic sites, in order to investigate their potential as glycobiological tumor model systems and to reveal glycans associated with cell line phenotypes. We applied an optimized, high-throughput membrane-based enzymatic glycan release for small sample amounts. Released glycans were derivatized to stabilize and differentiate between a2,3- and a2,6-linked N-acetylneuraminic acids, followed by N-glycosylation analysis by MALDI-TOF(/TOF)-MS. Our results showed pronounced differences between the N-glycosylation patterns of CRC cell lines. CRC cell line profiles differed from tissue-derived N-glycan profiles with regard to their high-mannose N-glycan content but showed a large overlap for complex type N-glycans, supporting their use as a glycobiological cancer model system. Importantly, we could show that the high-mannose N-glycans did not only occur as intracellular precursors but were also present at the cell surface. The obtained CRC cell line N-glycan features were not clearly correlated with mRNA expression levels of glycosyltransferases, demonstrating the usefulness of performing the structural analysis of glycans. Finally, correlation of CRC cell line glycosylation features with cancer cell markers and phenotypes revealed an association between highly fucosylated glycans and CDX1 and/or villin mRNA expression that both correlate with cell differentiation. Together, our findings provide new insights into CRC-associated glycan changes and setting the basis for more in-depth experiments on glycan function and regulation.
2017-02-03 | MTBLS227 | MetaboLights
Project description:Identification results of peptide-spectrum matches supporting Glyco-Decipher manuscript (Glyco-Decipher: Glycan database-independent peptide matching enables discovery of new glycans and in-depth characterization of site-specific N-glycosylation). Recently, several elegant bioinformatics tools have been developed to identify glycopeptides from tandem mass spectra for site-specific glycoproteomics studies. These glycan database-dependent tools have substantially improved glycoproteomics analysis but fail to identify glycopeptides with unexpected glycans. We present a platform called Glyco-Decipher to interpret the glycoproteomics data of N-linked glycopeptides. It adopts a glycan database-independent peptide matching scheme that allows the unbiased profiling of glycans and the discovery of new glycans linked with modifications. Reanalysis of several large-scale datasets showed that Glyco-Decipher outperformed the open search method in glycan blind searching and the popular glycan database-dependent software tools in glycopeptide identification. Our glycan database-independent search also revealed that modified glycans are responsible for a large fraction of unassigned glycopeptide spectra in shotgun glycoproteomics.
2022-03-04 | PXD031025 | Pride
Project description:Reanalysis of submissions PXD005411, PXD005413, PXD005412, PXD005553, PXD005555, PXD005565 and PXD019937 using Glyco-Decipher. Identification results of peptide-spectrum matches supporting Glyco-Decipher manuscript (Glyco-Decipher: glycan database-independent peptide matching enables discovery of new glycans and in-depth characterization of site-specific N-glycosylation). Recently, several elegant bioinformatics tools have been developed to identify glycopeptides from tandem mass spectra for site-specific glycoproteomics studies. These glycan database-dependent tools have substantially improved glycoproteomics analysis but fail to identify glycopeptides with unexpected glycans. We present a platform called Glyco-Decipher to interpret the glycoproteomics data of N-linked glycopeptides. It adopts a glycan database-independent peptide matching scheme that allows the unbiased profiling of glycans and the discovery of new glycans linked with modifications. Reanalysis of several large-scale datasets showed that Glyco-Decipher outperformed the open search method in glycan blind searching and the popular glycan database-dependent software tools in glycopeptide identification. Our glycan database-independent search also revealed that modified glycans are responsible for a large fraction of unassigned glycopeptide spectra in shotgun glycoproteomics.
2022-03-04 | PXD031032 | Pride