Long non‑coding RNA B3GALT5‑AS1 contributes to the progression of gastric cancer via interacting with CSNK2A1

Wang, Ping; Sun, Guangbin; Dou, Guang-Xian; Wang, Baiqing

doi:10.3892/etm.2021.10359

Cited by 4 publications

(3 citation statements)

References 32 publications

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“…We next focused on the interaction of the hsa_circ_0062682 with proteins previously implicated in the pathology of HCC, namely YBX1 (Y-box-binding protein 1) [ 48 ], IGF2BP1 (Insulin-like growth factor 2 mRNA-binding protein 1) [ 49 ], hnRNP C1/C2 (Heterogeneous nuclear ribonucleoproteins C1/C2) [ 50 ], hnRNP K (Heterogeneous nuclear ribonucleoprotein K) [ 51 ], CSNK2A1 (Casein kinase II subunit alpha) [ 52 ], and ENO1 (Alpha-enolase) [ 53 ]. While YBX1, IGF2BP1, hnRNP C1/C2, and hnRNP K are known to bind RNAs and have roles in RNA metabolism, it has also been shown for CSNK2A1 and ENO1 to be able to bind RNA molecules [ 54 , 55 , 56 ]. The binding of proteins was further evaluated by biotinylated oligonucleotide pulldown followed by Western blotting ( Figure 6 E).…”

Section: Resultsmentioning

confidence: 99%

Circular RNA hsa_circ_0062682 Binds to YBX1 and Promotes Oncogenesis in Hepatocellular Carcinoma

Razpotnik

Vidmar

Fonović

et al. 2022

Cancers

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Circular RNAs (circRNAs) have been shown to play an important role in the pathogenesis of hepatocellular carcinoma (HCC). By implementing available transcriptomic analyses of HCC patients, we identified an upregulated circRNA hsa_circ_0062682. Stable perturbations of hsa_circ_0062682 in Huh-7 and SNU-449 cell lines influenced colony formation, migration, cell proliferation, sorafenib sensitivity, and additionally induced morphological changes in cell lines, indicating an important role of hsa_circ_0062682 in oncogenesis. Pathway enrichment analysis and gene set enrichment analysis of the transcriptome data from hsa_circ_0062682 knockdown explained the observed phenotypes and exposed transcription factors E2F1, Sp1, HIF-1α, and NFκB1 as potential downstream targets. Biotinylated oligonucleotide pulldown combined with proteomic analyses identified protein interaction partners of which YBX1, a known oncogene, was confirmed by RNA immunoprecipitation. Furthermore, we discovered a complex cell-type-specific phenotype in response to the oncogenic potential of hsa_circ_0062682. This finding is in line with different classes of HCC tumours, and more studies are needed to shed a light on the molecular complexity of liver cancer.

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Section: Resultsmentioning

confidence: 99%

Circular RNA hsa_circ_0062682 Binds to YBX1 and Promotes Oncogenesis in Hepatocellular Carcinoma

Razpotnik

Vidmar

Fonović

et al. 2022

Cancers

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“…In an experiment with B3GALT5-AS1 knockdown cancer cell viability, both invasion and migration were reduced and cell death was promoted. Once CSNK2A1 was overexpressed, all the above were partially reversed, showing that CSNK2A1 is another probable drug target in cancer [ 39 ].…”

Section: Discussionmentioning

confidence: 99%

Signatures of Co-Deregulated Genes and Their Transcriptional Regulators in Kidney Cancers

Ioannou

Chatziantoniou

Drenios

et al. 2023

IJMS

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There are several studies on the deregulated gene expression profiles in kidney cancer, with varying results depending on the tumor histology and other parameters. None of these, however, have identified the networks that the co-deregulated genes (co-DEGs), across different studies, create. Here, we reanalyzed 10 Gene Expression Omnibus (GEO) studies to detect and annotate co-deregulated signatures across different subtypes of kidney cancer or in single-gene perturbation experiments in kidney cancer cells and/or tissue. Using a systems biology approach, we aimed to decipher the networks they form along with their upstream regulators. Differential expression and upstream regulators, including transcription factors [MYC proto-oncogene (MYC), CCAAT enhancer binding protein delta (CEBPD), RELA proto-oncogene, NF-kB subunit (RELA), zinc finger MIZ-type containing 1 (ZMIZ1), negative elongation factor complex member E (NELFE) and Kruppel-like factor 4 (KLF4)] and protein kinases [Casein kinase 2 alpha 1 (CSNK2A1), mitogen-activated protein kinases 1 (MAPK1) and 14 (MAPK14), Sirtuin 1 (SIRT1), Cyclin dependent kinases 1 (CDK1) and 4 (CDK4), Homeodomain interacting protein kinase 2 (HIPK2) and Extracellular signal-regulated kinases 1 and 2 (ERK1/2)], were computed using the Characteristic Direction, as well as GEO2Enrichr and X2K, respectively, and further subjected to GO and KEGG pathways enrichment analyses. Furthermore, using CMap, DrugMatrix and the LINCS L1000 chemical perturbation databases, we highlight putative repurposing drugs, including Etoposide, Haloperidol, BW-B70C, Triamterene, Chlorphenesin, BRD-K79459005 and β-Estradiol 3-benzoate, among others, that may reverse the expression of the identified co-DEGs in kidney cancers. Of these, the cytotoxic effects of Etoposide, Catecholamine, Cyclosporin A, BW-B70C and Lasalocid sodium were validated in vitro. Overall, we identified critical co-DEGs across different subtypes in kidney cancer, and our results provide an innovative framework for their potential use in the future.

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“…Several antisense glycosyltransferase lncRNAs affect cancer cell malignancy. B3GALT5-AS1 contributes to the progression of gastric cancer by up-regulating the expression of the α1 subunit of casein kinase Ii (product of the CSNK2A1 gene), which is involved in a variety of signaling pathways [140]. ST8SIA6-AS1 lncRNA (also known as APAL) is overexpressed and associated with poor prognosis in a variety of cancers [141].…”

Section: Non-coding Rnas Derived From Glycosyltransferase Genes But N...mentioning

confidence: 99%

The Mutual Relationship between Glycosylation and Non-Coding RNAs in Cancer and Other Physio-Pathological Conditions

Duca

Malagolini

Dall’Olio

2022

IJMS

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Glycosylation, which consists of the enzymatic addition of sugars to proteins and lipids, is one of the most important post-co-synthetic modifications of these molecules, profoundly affecting their activity. Although the presence of carbohydrate chains is crucial for fine-tuning the interactions between cells and molecules, glycosylation is an intrinsically stochastic process regulated by the relative abundance of biosynthetic (glycosyltransferases) and catabolic (glycosidases) enzymes, as well as sugar carriers and other molecules. Non-coding RNAs, which include microRNAs, long non-coding RNAs and circRNAs, establish a complex network of reciprocally interacting molecules whose final goal is the regulation of mRNA expression. Likewise, these interactions are stochastically regulated by ncRNA abundance. Thus, while protein sequence is deterministically dictated by the DNA/RNA/protein axis, protein abundance and activity are regulated by two stochastic processes acting, respectively, before and after the biosynthesis of the protein axis. Consequently, the worlds of glycosylation and ncRNA are closely interconnected and mutually interacting. In this paper, we will extensively review the many faces of the ncRNA–glycosylation interplay in cancer and other physio-pathological conditions.

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Long non‑coding RNA B3GALT5‑AS1 contributes to the progression of gastric cancer via interacting with CSNK2A1

Cited by 4 publications

References 32 publications

Circular RNA hsa_circ_0062682 Binds to YBX1 and Promotes Oncogenesis in Hepatocellular Carcinoma

Circular RNA hsa_circ_0062682 Binds to YBX1 and Promotes Oncogenesis in Hepatocellular Carcinoma

Signatures of Co-Deregulated Genes and Their Transcriptional Regulators in Kidney Cancers

The Mutual Relationship between Glycosylation and Non-Coding RNAs in Cancer and Other Physio-Pathological Conditions

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