Elevated Expression of β1,4-Galactosyltransferase-I in Cartilage and Synovial Tissue of Patients with Osteoarthritis

Liu, Wei; Cui, Zhiming; Wang, Youhua; Zhu, Xiao Feng; Fan, Jiyang; Bao, Guofeng; De-sheng, XU

doi:10.1007/s10753-011-9357-x

Cited by 8 publications

(8 citation statements)

References 40 publications

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“…Numerous studies have confirmed that B4GALT1 has a key role in inflammatory processes associated with numerous diseases, including OA and rheumatic arthritis (RA). A previous study indicated that the expression of B4GALT1 was induced in the cartilage and synovial tissue of OA patients when compared with healthy controls and may be an important a key inflammatory mediator in OA (36). By contrast, the expression of B4GALT1 was identified to be downregulated in OA samples in the present study.…”

Section: Discussioncontrasting

confidence: 65%

Identification of key genes in osteoarthritis using bioinformatics, principal component analysis and meta‑analysis

et al. 2020

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The present study aimed to identify key genes involved in osteoarthritis (OA). Based on a bioinformatics analysis of five gene expression profiling datasets (GSE55457, GSE55235, GSE82107, GSE12021 a nd GSE1919), differentially expressed genes (DEGs) in OA were identified. Subsequently, a protein-protein interaction (PPI) network was constructed and its topological structure was analyzed. In addition, key genes in OA were identified following a principal component analysis (PCA) based on the DEGs in the PPI network. Finally, the functions and pathways enriched by these key genes were also analyzed. The PPI network consisted of 241 nodes and 576 interactives, including a total of 171 upregulated DEGs [e.g., aspartylglucosaminidase (AGA), CD58 and CD86] and a total of 70 downregulated DEGs (e.g., acetyl-CoA carboxylase β and dihydropyrimidine dehydrogenase). The PPI network complied with an attribute of scale-free small-world network. After PCA, 47 key genes were identified, including β-1,4-galactosyltransferase-1 (B4GALT1), AGA, CD58, CD86, ezrin, and eukaryotic translation initiation factor 4 γ 1 (EIF4G1). Subsequently, the 47 key genes were identified to be enriched in 13 Gene Ontology (GO) terms and 2 Kyoto Encyclopedia of Genes and Genomes pathways, with the GO terms involving B4GALT1 including positive regulation of developmental processes, protein amino acid terminal glycosylation and protein amino acid terminal N-glycosylation. In addition, B4GALT1 and EIF4G1 were confirmed to be downregulated in OA samples compared with healthy controls, but only EIF4G1 was determined to be significantly downregulated in OA samples, as determined via a meta-analysis of the 5 abovementioned datasets. In conclusion, B4GALT1 and EIF4G1 were indicated to have significant roles in OA, and B4GALT1 may be involved in positive regulation of developmental processes, protein amino acid terminal glycosylation and protein amino acid terminal N-glycosylation. The present study may enhance the current understanding of the molecular mechanisms of OA and provide novel therapeutic targets.

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Section: Discussioncontrasting

confidence: 65%

Identification of key genes in osteoarthritis using bioinformatics, principal component analysis and meta‑analysis

et al. 2020

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“…The two isoforms are type II membrane-bound glycoproteins and reside in Golgi apparatus and a portion of the longer protein functions on the cell surface as a recognition molecule by binding with appropriate glycoside substrates (5). Consequently, the B4GALT1 plays important roles in numerous physiological and pathological processes such as inflammation, sperm-egg interaction, embryogenesis, and morphogenesis, development of the central nervous system, cell migration, cancer progression and metastasis (6)(7)(8).…”

Section: Introductionmentioning

confidence: 99%

“…Although considered mainly as a housekeeping gene, a large number of studies have shown a differential expression of B4GALT1 in mammary gland, brain and other normal tissues such as the cartilage (7,9,10). On the other hand, this gene has been highly implicated in oncogenesis and tumor progression (6,(11)(12)(13).…”

Section: Introductionmentioning

confidence: 99%

Multifaceted roles of 5′-regulatory region of the cancer associated gene B4GALT1 and its comparison with the gene family

Al‐Obaide

Alobydi²,

Abdel‐Salam

et al. 2015

International Journal of Oncology

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Abstract. β1,4-Galactosylransferases are a family of enzymes encoded by seven B4GALT genes and are involved in the development of anticancer drug resistance and metastasis. Among these genes, the B4GALT1 shows significant variations in the transcript origination sites in different cell types/tissues and encodes an interesting dually partitioning β-1, 4-galactosyltransferase protein. We identified at 5'-end of B4GALT1 a 1.454 kb sequence forming a transcription regulatory region, referred to by us as the TR1-PE1, had all characteristics of a bidirectional promoter directing the transcription of B4GALT1 in a divergent manner along with its long non-coding RNA (lncRNA) antisense counterpart B4GALT1-AS1. The TR1-PE1 showed unique dinucleotide base-stacking energy values specific to transcription factor binding sites (TFBSs), INR and BRE, and harbored CpG Island (CGI) that showed GC skew with potential for R-loop formation at the transcription starting sites (TSSs). The 5'-regulatory axis of B4GALT1 also included five more novel TFBSs for CTCF, GLI1, TCF7L2, GATA3 and SOX5, in addition to unique (TG) 18 repeats in conjunction with 22 nucleotide TG-associated sequence (TGAS). The five lncRNA B4GALT1-AS1 transcripts showed significant complementarity with B4GALT1 mRNA. In contrast, the rest of B4GALT genes showed fewer lncRNAs, and all lacked the (TG) 18 and TGAS. Our results are strongly supported by the FANTOM5 study which showed tissue-specific variations in transcript origination sites for this gene. We suggest that the unique expression patterns for the B4GALT1 in normal and malignant tissues are controlled by a differential usage of 5'-B4GALT1 regulatory units along with a post-transcriptional regulation by the antisense RNA, which in turn govern the cell-matrix interactions, neoplastic progression, anticancer drug sensitivity, and could be utilized in personalized therapy.

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“…One of them, β1,4-GalT I, catalyzes attachment of β1,4-galactose to GlcNAc residue, which is absent in plants and fungi3066. In humans, this enzyme is encoded by ENSG000000860626768. The peptide sequence of this enzyme contains 2 Pfam domains (Domain IDs: PF13733 and PF02709).…”

Section: Resultsmentioning

confidence: 99%

Evolution of protein N-glycosylation process in Golgi apparatus which shapes diversity of protein N-glycan structures in plants, animals and fungi

Wang

Gai

et al. 2017

Sci Rep

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Protein N-glycosylation (PNG) is crucial for protein folding and enzymatic activities, and has remarkable diversity among eukaryotic species. Little is known of how unique PNG mechanisms arose and evolved in eukaryotes. Here we demonstrate a picture of onset and evolution of PNG components in Golgi apparatus that shaped diversity of eukaryotic protein N-glycan structures, with an emphasis on roles that domain emergence and combination played on PNG evolution. 23 domains were identified from 24 known PNG genes, most of which could be classified into a single clan, indicating a single evolutionary source for the majority of the genes. From 153 species, 4491 sequences containing the domains were retrieved, based on which we analyzed distribution of domains among eukaryotic species. Two domains in GnTV are restricted to specific eukaryotic domains, while 10 domains distribute not only in species where certain unique PNG reactions occur and thus genes harboring these domains are supoosed to be present, but in other ehkaryotic lineages. Notably, two domains harbored by β-1,3 galactosyltransferase, an essential enzyme in forming plant-specific Lea structure, were present in separated genes in fungi and animals, suggesting its emergence as a result of domain shuffling.

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Elevated Expression of β1,4-Galactosyltransferase-I in Cartilage and Synovial Tissue of Patients with Osteoarthritis

Cited by 8 publications

References 40 publications

Identification of key genes in osteoarthritis using bioinformatics, principal component analysis and meta‑analysis

Identification of key genes in osteoarthritis using bioinformatics, principal component analysis and meta‑analysis

Multifaceted roles of 5′-regulatory region of the cancer associated gene B4GALT1 and its comparison with the gene family

Evolution of protein N-glycosylation process in Golgi apparatus which shapes diversity of protein N-glycan structures in plants, animals and fungi

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