On the cytotoxicity of HCR-NTPase in the neuroblastoma cell line SH-SY5Y

Pasdziernik, Markus; Kaltschmidt, Barbara; Kaltschmidt, Christian; Kaufmann, Michael

doi:10.1186/1756-0500-2-102

Cited by 4 publications

(4 citation statements)

References 15 publications

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“…3 ). Interestingly, researchers have shown that NTPCR is overexpressed in neuroblastomas, 16 but no study has associated NTPCR with GBM. Additionally, one of the probe sets that had a non-zero coefficient estimate was designed to interrogate the gene PDZ and LIM domain 4 (PDLIM4), which has previously been studied in association with gliomas.…”

Section: Resultsmentioning

confidence: 99%

Modeling Discrete Survival Time Using Genomic Feature Data

Ferber

Archer

2015

Cancer Inform

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Researchers have recently shown that penalized models perform well when applied to high-throughput genomic data. Previous researchers introduced the generalized monotone incremental forward stagewise (GMIFS) method for fitting overparameterized logistic regression models. The GMIFS method was subsequently extended by others for fitting several different logit link ordinal response models to high-throughput genomic data. In this study, we further extended the GMIFS method for ordinal response modeling using a complementary log-log link, which allows one to model discrete survival data. We applied our extension to a publicly available microarray gene expression dataset (GSE53733) with a discrete survival outcome. The dataset included 70 primary glioblastoma samples from patients of the German Glioma Network with long-, intermediate-, and short-term overall survival. We tested the performance of our method by examining the prediction accuracy of the fitted model. The method has been implemented as an addition to the ordinalgmifs package in the R programming environment.

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Section: Resultsmentioning

confidence: 99%

Modeling Discrete Survival Time Using Genomic Feature Data

Ferber

Archer

2015

Cancer Inform

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“…NTPCR (THEP 1, C1orf57, or HCR-NTPase) is a non-specific nucleoside triphosphatase exhibiting a slow hydrolyzed activity in vitro . It is overexpressed in several tumor tissues including neuroblastoma and liver cholangiocarcinoma ( Placzek et al, 2007 ; Pasdziernik et al, 2009 ). A previous study reported there was no effect observed in NTPCR-silencing neuroblastoma cells, while overexpression of NTPCR led to the cytotoxicity of this protein ( Pasdziernik et al, 2009 ).…”

Section: Discussionmentioning

confidence: 99%

“…It is overexpressed in several tumor tissues including neuroblastoma and liver cholangiocarcinoma ( Placzek et al, 2007 ; Pasdziernik et al, 2009 ). A previous study reported there was no effect observed in NTPCR-silencing neuroblastoma cells, while overexpression of NTPCR led to the cytotoxicity of this protein ( Pasdziernik et al, 2009 ). However, the expressed status and physiological role of NTPCR is still unknown in other cancer types, especially in ovarian cancer.…”

Section: Discussionmentioning

confidence: 99%

Characterization of the Potential Role of NTPCR in Epithelial Ovarian Cancer by Integrating Transcriptomic and Metabolomic Analysis

et al. 2021

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BackgroundEpithelial ovarian carcinoma (EOC) is a malignant tumor with high motility in women. Our previous study found that dysregulated nucleoside-triphosphatase cancer-related (NTPCR) was associated with the prognosis of EOC patients, and thus, this present study attempted to explore the potential roles of NTPCR in disease progression.MethodsExpressed level of NTPCR was investigated in EOC tissues by RT-qPCR and Western blot analysis. NTPCR shRNA and overexpression vector were generated and transfected into OVCAR-3 or SKOV3 cells to detect the effect of NTPCR on cell proliferation, cell cycle, cell migration, and invasion. Transcriptomic sequencing and metabolite profiling analysis were performed in shNTPCR groups to identify transcriptome or metabolite alteration that might contribute to EOC. Finally, we searched the overlapped signaling pathways correlated with differential metabolites and differentially expressed genes (DEGs) by integrating analysis.ResultsComparing para-cancerous tissues, we found that NTPCR is highly expressed in cancer tissues (p < 0.05). Overexpression of NTPCR inhibited cell proliferation, migration, and invasion and reduced the proportion of S- and G2/M-phase cells, while downregulation of NTPCR showed the opposite results. RNA sequencing analysis demonstrated cohorts of DEGs were identified in shNTPCR samples. Protein–protein interaction networks were constructed for DEGs. STAT1 (degree = 43) and OAS2 (degree = 36) were identified as hub genes in the network. Several miRNAs together with target genes were predicted to be crucial genes related to disease progression, including hsa-miR-124-3p, hsa-miR-30a-5p, hsa-miR-146a-5, EP300, GATA2, and STAT3. We also screened the differential metabolites from shNTPCR samples, including 22 upregulated and 22 downregulated metabolites. By integrating transcriptomics and metabolomics analysis, eight overlapped pathways were correlated with these DEGs and differential metabolites, such as primary bile acid biosynthesis, protein digestion, and absorption, pentose, and glucuronate interconversions.ConclusionNTPCR might serve as a tumor suppressor in EOC progression. Our results demonstrated that DEGs and differential metabolites were mainly related to several signaling pathways, which might be a crucial role in the progression of NTPCR regulation of EOC.

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“…The other member of the Musashi gene family, Msi1, is not highly expressed in the SCN ( Table 2). Two of the FSS genes that are MSI2 targets (Table 2) are not well understood (Blcap and Ntpcr), but are expressed abnormally in cancer cells (Pasdziernik et al, 2009;Gromova et al, 2017), which tend to be poorly differentiated.…”

Section: Bioinformatics Indicate Significant Msi2 and Rna-binding Promentioning

confidence: 99%

Musashi‐2 and related stem cell proteins in the mouse suprachiasmatic nucleus and their potential role in circadian rhythms

Beligala

Malik

et al. 2019

Intl J of Devlp Neuroscience

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Background The suprachiasmatic nucleus (SCN) of the mammalian hypothalamus contains the master circadian clock of the body and an unusually large number of cells expressing stem cell‐related proteins. These seemingly undifferentiated cells may serve in entrainment of the SCN circadian clock to light cycles or allow it to undergo neural plasticity important for modifying its rhythmic output signals. These cells may also proliferate and differentiate into neurons or glia in response to episodic stimuli or developmental events requiring alterations in the SCN's control of physiology and behavior. Problem To characterize expression of stem cell related proteins in the SCN and the effects of stem‐like cells on circadian rhythms. Methods Explant cultures of mouse SCN were maintained in medium designed to promote survival and growth of stem cells but not neuronal cells. Several stem cell marker proteins including SRY‐box containing gene 2 (SOX2), nestin, vimentin, octamer‐binding protein 4 (OCT4), and Musashi RNA‐binding protein 2 (MSI2) were identified by immunocytochemistry in histological sections from adult mouse SCN and in cultures of microdissected SCN. A bioinformatics analysis located potential SCN targets of MSI2 and related RNA‐binding proteins. Results Cells expressing stem cell markers proliferated in culture. Immunostained brain sections and bioinformatics supported the view that MSI2 regulates immature properties of SCN neurons, potentially providing flexibility in SCN neural circuits. Explant cultures had ongoing mitotic activity, indicated by proliferating‐cell nuclear antigen, and extensive cell loss shown by propidium iodide staining. Cells positive for vasoactive intestinal polypeptide (VIP) that are highly enriched in the SCN were diminished in explant cultures. Despite neuronal cell loss, tissue remained viable for over 7 weeks in culture, as shown by bioluminescence imaging of explants prepared from SCN of Per1::luc transgenic mice. The circadian rhythm in SCN gene expression persisted in brain slice cultures in stem cell medium. Prominent, widespread expression of RNA‐binding protein MSI2 supported the importance of posttranscriptional regulation in SCN functions and provided further evidence of stem‐like cells. Conclusion The results show that the SCN retains properties of immature neurons and these properties persist in culture conditions suitable for stem cells, where the SCN stem‐like cells also proliferate. These properties may allow adaptive circadian rhythm adjustments. Further exploration should examine stem‐like cells of the SCN in vivo, how they may affect circadian rhythms, and whether MSI2 serves as a master regulator of SCN stem‐like properties.

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On the cytotoxicity of HCR-NTPase in the neuroblastoma cell line SH-SY5Y

Cited by 4 publications

References 15 publications

Modeling Discrete Survival Time Using Genomic Feature Data

Modeling Discrete Survival Time Using Genomic Feature Data

Characterization of the Potential Role of NTPCR in Epithelial Ovarian Cancer by Integrating Transcriptomic and Metabolomic Analysis

Musashi‐2 and related stem cell proteins in the mouse suprachiasmatic nucleus and their potential role in circadian rhythms

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