Analysis of Transcriptomic Similarity between Osteosarcoma Cell Lines and Primary Tumors

Oncology ◽  
2020 ◽  
Vol 98 (11) ◽  
pp. 814-816
Author(s):  
Sai Batchu ◽  
Justin Lee Gold
Keyword(s):  
Gene Expression ◽  
Gene Ontology ◽  
Cell Lines ◽  
Disease Process ◽  
Published Data ◽  
Data Sets ◽  
Osteosarcoma Cell ◽  
Gene Ontology Analysis ◽  
Primary Tumors

<b><i>Background:</i></b> Osteosarcoma (OS) cell lines are commonly used to mimic tumors for in vitro experiments. The present study explores the resemblance of OS cell lines to OS primary tumors in regard to gene expression. <b><i>Methods:</i></b> Transcriptomic data were retrieved from published data sets for 18 primary tumor samples and 13 commonly used OS cell lines. Tumor purity was accounted for when correlating tumor and cell line gene expression. Differentially expressed genes between tumors and cell lines were discovered and gene ontology analysis was performed. <b><i>Results:</i></b> Certain commonly used cell lines, including NY, NOS1, and U2OS, display less resemblance to OS tumors than do other cell lines. For genes overexpressed in tumors, and consequently underexpressed in cell lines, gene ontology analysis enriched pathways related to cell-cell adhesion and stimulus detection. <b><i>Conclusion:</i></b> The pathways dysregulated between cell lines and tumors have been implicated in OS pathogenesis. Therefore, the findings suggest that the transcriptome of OS cell lines may not be completely representative of OS primary tumors’ gene expression and the disease process.

scholarly journals The Proteasome Inhibitor Ixazomib Inhibits the Formation and Growth of Pulmonary and Abdominal Osteosarcoma Metastases in Mice

Cancers ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1207 ◽  
Author(s):  
Michael A. Harris ◽  
Mark A. Miles ◽  
Tanmay M. Shekhar ◽  
Carmelo Cerra ◽  
Smitha R. Georgy ◽  
...  
Keyword(s):  
Solid Tumors ◽  
Cell Lines ◽  
Proteasome Inhibitor ◽  
Pulmonary Metastases ◽  
Single Agent ◽  
Osteosarcoma Cell ◽  
Primary Tumors ◽  
Tumor Penetration ◽  
Canine Osteosarcoma

Osteosarcoma is the most common form of primary bone cancer. Over 20% of osteosarcoma patients present with pulmonary metastases at diagnosis, and nearly 70% of these patients fail to respond to treatment. Previous work revealed that human and canine osteosarcoma cell lines are extremely sensitive to the therapeutic proteasome inhibitor bortezomib in vitro. However, bortezomib has proven disappointingly ineffective against solid tumors including sarcomas in animal experiments and clinical trials. Poor tumor penetration has been speculated to account for the inconsistency between in vitro and in vivo responses of solid tumors to bortezomib. Here we show that the second-generation proteasome inhibitor ixazomib, which reportedly has enhanced solid tumor penetration compared to bortezomib, is toxic to human and canine osteosarcoma cells in vitro. We used experimental osteosarcoma metastasis models to compare the efficacies of ixazomib and bortezomib against primary tumors and metastases derived from luciferase-expressing KRIB or 143B human osteosarcoma cell lines in athymic mice. Neither proteasome inhibitor reduced the growth of primary intramuscular KRIB tumors, however both drugs inhibited the growth of established pulmonary metastases created via intravenous inoculation with KRIB cells, which were significantly better vascularized than the primary tumors. Only ixazomib slowed metastases from KRIB primary tumors and inhibited the growth of 143B pulmonary and abdominal metastases, significantly enhancing the survival of mice intravenously injected with 143B cells. Taken together, these results suggest ixazomib exerts better single agent activity against osteosarcoma metastases than bortezomib. These data provide hope that incorporation of ixazomib, or other proteasome inhibitors that penetrate efficiently into solid tumors, into current regimens may improve outcomes for patients diagnosed with metastatic osteosarcoma.

scholarly journals Anti-Metastatic and Anti-Angiogenic Effects of Curcumin Analog DK1 on Human Osteosarcoma Cells In Vitro

2021 ◽  
Vol 14 (6) ◽  
pp. 532
Author(s):  
Muhammad Nazirul Mubin Aziz ◽  
Nurul Fattin Che Rahim ◽  
Yazmin Hussin ◽  
Swee Keong Yeap ◽  
Mas Jaffri Masarudin ◽  
...  
Keyword(s):  
Cell Lines ◽  
Safety Profile ◽  
Quantitative Polymerase Chain Reaction ◽  
Tube Formation ◽  
Osteosarcoma Cell ◽  
Curcumin Analog ◽  
Human Osteosarcoma ◽  
Human Osteosarcoma Cells ◽  
Human Osteosarcoma Cell

Osteosarcoma (OS) is a life-threatening malignant bone tumor associated with poor prognosis among children. The survival rate of the patient is still arguably low even with intensive treatment provided, plus with the inherent side effects from the chemotherapy, which gives more unfavorable outcomes. Hence, the search for potent anti-osteosarcoma agent with promising safety profile is still on going. Natural occurring substance like curcumin has gained a lot of attention due to its splendid safety profile as well as it pharmacological advantages such as anti-metastasis and anti-angiogenesis. However, natural curcumin was widely known for its poor cellular uptake, which undermines all potential that it possesses. This prompted the development of synthetically synthesized curcuminoid analog, known as (Z)-3-hydroxy-1-(2-hydroxyphenyl)-3-phenylprop-2- en-1-one (DK1). In this present study, in vitro scratch assay, transwell migration/invasion assay, HUVEC tube formation assay, and ex vivo rat aortic ring assays were performed in order to investigate the anti-metastatic and anti-angiogenic potential of DK1. For further comprehension of DK1 mechanism on human osteosarcoma cell lines, microarray gene expression analysis, quantitative polymerase chain reaction (qPCR), and proteome profiler were adopted, providing valuable forecast from the expression of important genes and proteins related to metastasis and angiogenesis. Based on the data gathered from the bioassays, DK1 was able to inhibit the metastasis and angiogenesis of human osteosarcoma cell lines by significantly reducing the cell motility, number of migrated and invaded cells as well as the tube formation and micro-vessels sprouting. Additionally, DK1 also has significantly regulated several cancer pathways involved in OS proliferation, metastasis, and angiogenesis such as PI3K/Akt and NF-κB in both U-2 OS and MG-63. Regulation of PI3K/Akt caused up-regulation of genes related to metastasis inhibition, namely, PTEN, FOXO, PLK3, and GADD45A. Meanwhile, NF-κB pathway was regulated by mitigating the expression of NF-κB activator such as IKBKB and IKBKE in MG-63, whilst up-regulating the expression of NF-κB inhibitors such as NFKBIA and NFKBIE in U-2 OS. Finally, DK1 also has successfully hindered the metastatic and angiogenic capability of OS cell lines by down-regulating the expression of pro-metastatic genes and proteins like MMP3, COL11A1, FGF1, Endoglin, uPA, and IGFBP2 in U-2 OS. Whilst for MG-63, the significantly down-regulated oncogenes were Serpin E1, AKT2, VEGF, uPA, PD-ECGF, and Endoglin. These results suggest that curcumin analog DK1 may serve as a potential new anti-osteosarcoma agent due to its anti-metastatic and anti-angiogenic attributes.

scholarly journals LncRNA SNHG15 contributes to doxorubicin resistance of osteosarcoma cells through targeting the miR-381-3p/GFRA1 axis

2020 ◽  
Vol 15 (1) ◽  
pp. 871-883
Author(s):  
Jinshan Zhang ◽  
Dan Rao ◽  
Haibo Ma ◽  
Defeng Kong ◽  
Xiaoming Xu ◽  
...  
Keyword(s):  
Cell Lines ◽  
Noncoding Rna ◽  
Xenograft Model ◽  
Inhibitory Effect ◽  
Cell Counting ◽  
Luciferase Reporter ◽  
Osteosarcoma Cell ◽  
Osteosarcoma Cells

AbstractBackgroundOsteosarcoma is a common primary malignant bone cancer. Long noncoding RNA small nucleolar RNA host gene 15 (SNHG15) has been reported to play an oncogenic role in many cancers. Nevertheless, the role of SNHG15 in the doxorubicin (DXR) resistance of osteosarcoma cells has not been fully addressed.MethodsCell Counting Kit-8 assay was conducted to measure the half-maximal inhibitory concentration value of DXR in osteosarcoma cells. Western blotting was carried out to examine the levels of autophagy-related proteins and GDNF family receptor alpha-1 (GFRA1). Quantitative reverse transcription-polymerase chain reaction was performed to determine the levels of SNHG15, miR-381-3p, and GFRA1. The proliferation of osteosarcoma cells was measured by MTT assay. The binding sites between miR-381-3p and SNHG15 or GFRA1 were predicted by Starbase bioinformatics software, and the interaction was confirmed by dual-luciferase reporter assay. Murine xenograft model was established to validate the function of SNHG15 in vivo.ResultsAutophagy inhibitor 3-methyladenine sensitized DXR-resistant osteosarcoma cell lines to DXR. SNHG15 was upregulated in DXR-resistant osteosarcoma tissues and cell lines. SNHG15 knockdown inhibited the proliferation, DXR resistance, and autophagy of osteosarcoma cells. MiR-381-3p was a direct target of SNHG15, and GFRA1 bound to miR-381-3p in osteosarcoma cells. SNHG15 contributed to DXR resistance through the miR-381-3p/GFRA1 axis in vitro. SNHG15 depletion contributed to the inhibitory effect of DXR on osteosarcoma tumor growth through the miR-381-3p/GFRA1 axis in vivo.ConclusionsSNHG15 enhanced the DXR resistance of osteosarcoma cells through elevating the autophagy via targeting the miR-381-3p/GFRA1 axis. Restoration of miR-381-3p expression might be an underlying therapeutic strategy to overcome the DXR resistance of osteosarcoma.

scholarly journals Gene Ontology Analysis of GWA Study Data Sets Provides Insights into the Biology of Bipolar Disorder

2009 ◽  
Vol 85 (1) ◽  
pp. 13-24 ◽  
Author(s):  
Peter Holmans ◽  
Elaine K. Green ◽  
Jaspreet Singh Pahwa ◽  
Manuel A.R. Ferreira ◽  
Shaun M. Purcell ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Gene Ontology ◽  
Study Data ◽  
Data Sets ◽  
Gene Ontology Analysis

scholarly journals Enhancing droplet-based single-nucleus RNA-seq resolution using the semi-supervised machine learning classifier DIEM

2019 ◽  
Author(s):  
Marcus Alvarez ◽  
Elior Rahmani ◽  
Brandon Jew ◽  
Kristina M. Garske ◽  
Zong Miao ◽  
...  
Keyword(s):  
Gene Expression ◽  
Single Cell ◽  
Cell Types ◽  
Supervised Machine Learning ◽  
Data Sets ◽  
Rna Seq ◽  
Novel Approach ◽  
Single Nucleus ◽  
Downstream Analysis

AbstractSingle-nucleus RNA sequencing (snRNA-seq) measures gene expression in individual nuclei instead of cells, allowing for unbiased cell type characterization in solid tissues. Contrary to single-cell RNA seq (scRNA-seq), we observe that snRNA-seq is commonly subject to contamination by high amounts of extranuclear background RNA, which can lead to identification of spurious cell types in downstream clustering analyses if overlooked. We present a novel approach to remove debris-contaminated droplets in snRNA-seq experiments, called Debris Identification using Expectation Maximization (DIEM). Our likelihood-based approach models the gene expression distribution of debris and cell types, which are estimated using EM. We evaluated DIEM using three snRNA-seq data sets: 1) human differentiating preadipocytes in vitro, 2) fresh mouse brain tissue, and 3) human frozen adipose tissue (AT) from six individuals. All three data sets showed various degrees of extranuclear RNA contamination. We observed that existing methods fail to account for contaminated droplets and led to spurious cell types. When compared to filtering using these state of the art methods, DIEM better removed droplets containing high levels of extranuclear RNA and led to higher quality clusters. Although DIEM was designed for snRNA-seq data, we also successfully applied DIEM to single-cell data. To conclude, our novel method DIEM removes debris-contaminated droplets from single-cell-based data fast and effectively, leading to cleaner downstream analysis. Our code is freely available for use at https://github.com/marcalva/diem.

scholarly journals hnRNP A1 Regulates Alternative Splicing of Tau Exon 10 by Targeting 3′ Splice Sites

Cells ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 936 ◽  
Author(s):  
Yongchao Liu ◽  
Donggun Kim ◽  
Namjeong Choi ◽  
Jagyeong Oh ◽  
Jiyeon Ha ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Ontology ◽  
Alternative Splicing ◽  
Splice Site ◽  
Hnrnp A1 ◽  
Gene Ontology Analysis ◽  
Splice Sites ◽  
Neuronal Function ◽  
Brain Functions ◽  
Exon 10

The ratio control of 4R-Tau/3R-Tau by alternative splicing of Tau exon 10 is important for maintaining brain functions. In this study, we show that hnRNP A1 knockdown induces inclusion of endogenous Tau exon 10, conversely, overexpression of hnRNP A1 promotes exon 10 skipping of Tau. In addition, hnRNP A1 inhibits splicing of intron 9, but not intron 10. Furthermore, hnRNP A1 directly interacts with the 3′ splice site of exon 10 to regulate its functions in alternative splicing. Finally, gene ontology analysis demonstrates that hnRNP A1-induced splicing and gene expression targets a subset of genes with neuronal function.

scholarly journals In vitro and in vivo effects of toceranib phosphate on canine osteosarcoma cell lines and xenograft orthotopic models

2019 ◽  
Vol 18 (1) ◽  
pp. 117-127
Author(s):  
Raquel Sánchez‐Céspedes ◽  
Paolo Accornero ◽  
Silvia Miretti ◽  
Eugenio Martignani ◽  
Francesca Gattino ◽  
...  
Keyword(s):  
Cell Lines ◽  
Osteosarcoma Cell ◽  
Canine Osteosarcoma ◽  
In Vivo Effects

scholarly journals Gene expression analysis of human prostate cell lines with and without tumor metastasis suppressor CD82

BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Pushpaja Dodla ◽  
Vanitha Bhoopalan ◽  
Sok Kean Khoo ◽  
Cindy Miranti ◽  
Suganthi Sridhar
Keyword(s):  
Gene Expression ◽  
Cell Line ◽  
Cell Lines ◽  
Differentially Expressed Genes ◽  
Tumor Metastasis ◽  
Human Prostate ◽  
Metastasis Suppressor ◽  
Data Sets ◽  
Prostate Cell ◽  
Prostate Cell Lines

Abstract Background Tetraspanin CD82 is a tumor metastasis suppressor that is known to down regulate in various metastatic cancers. However, the exact mechanism by which CD82 prevents cancer metastasis is unclear. This study aims to identify genes that are regulated by CD82 in human prostate cell lines. Methods We used whole human genome microarray to obtain gene expression profiles in a normal prostate epithelial cell line that expressed CD82 (PrEC-31) and a metastatic prostate cell line that does not express CD82 (PC3). Then, siRNA silencing was used to knock down CD82 expression in PrEC-31 while CD82 was re-expressed in PC3 to acquire differentially-expressed genes in the respective cell line. Results Differentially-expressed genes with a P < 0.05 were identified in 3 data sets: PrEC-31 (+CD82) vs PrEC-31(−CD82), PC3–57 (+CD82) vs. PC3-5 V (−CD82), and PC3–29 (+CD82) vs. PC3-5 V (−CD82). Top 25 gene lists did not show overlap within the data sets, except (CALB1) the calcium binding protein calbindin 1 which was significantly up-regulated (2.8 log fold change) in PrEC-31 and PC3–29 cells that expressed CD82. Other most significantly up-regulated genes included serine peptidase inhibitor kazal type 1 (SPINK1) and polypeptide N-acetyl galactosaminyl transferase 14 (GALNT14) and most down-regulated genes included C-X-C motif chemokine ligand 14 (CXCL14), urotensin 2 (UTS2D), and fibroblast growth factor 13 (FGF13). Pathways related with cell proliferation and angiogenesis, migration and invasion, cell death, cell cycle, signal transduction, and metabolism were highly enriched in cells that lack CD82 expression. Expression of two mutually inclusive genes in top 100 gene lists of all data sets, runt-related transcription factor (RUNX3) and trefoil factor 3 (TFF3), could be validated with qRT-PCR. Conclusion Identification of genes and pathways regulated by CD82 in this study may provide additional insights into the role that CD82 plays in prostate tumor progression and metastasis, as well as identify potential targets for therapeutic intervention.

Proteomic Analysis of Cell Lines and Primary Tumors in Pancreatic Cancer Identifies Proteins Expressed Only In Vitro and Only In Vivo

Pancreas ◽  
2020 ◽  
Vol 49 (8) ◽  
pp. 1109-1116
Author(s):  
Orla Coleman ◽  
Michael Henry ◽  
Fiona O'Neill ◽  
Sandra Roche ◽  
Niall Swan ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Cell Lines ◽  
Proteomic Analysis ◽  
Primary Tumors

scholarly journals Gene Transfer into the Lung by Nanoparticle Dextran-Spermine/Plasmid DNA Complexes

2010 ◽  
Vol 2010 ◽  
pp. 1-10 ◽  
Author(s):  
Syahril Abdullah ◽  
Wai Yeng Wendy-Yeo ◽  
Hossein Hosseinkhani ◽  
Mohsen Hosseinkhani ◽  
Ehab Masrawa ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Transfer ◽  
Cell Lines ◽  
Plasmid Dna ◽  
Mixing Ratio ◽  
Systemic Delivery ◽  
Clear Trend ◽  
Assay Time

A novel cationic polymer, dextran-spermine (D-SPM), has been found to mediate gene expression in a wide variety of cell lines andin vivothrough systemic delivery. Here, we extended the observations by determining the optimal conditions for gene expression of D-SPM/plasmid DNA (D-SPM/pDNA) in cell lines and in the lungs of BALB/c mice via instillation delivery.In vitrostudies showed that D-SPM could partially protect pDNA from degradation by nuclease and exhibited optimal gene transfer efficiency at D-SPM to pDNA weight-mixing ratio of 12. In the lungs of mice, the levels of gene expression generated by D-SPM/pDNA are highly dependent on the weight-mixing ratio of D-SPM to pDNA, amount of pDNA in the complex, and the assay time postdelivery. Readministration of the complex at day 1 following the first dosing showed no significant effect on the retention and duration of gene expression. The study also showed that there was a clear trend of increasing size of the complexes as the amount of pDNA was increased, where the sizes of the D-SPM/pDNA complexes were within the nanometer range.

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