Homo sapiens
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ABSTRACT:
PROVIDER: PRJNA938265 | ENA |
REPOSITORIES: ENA
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Project description:Morus alba L. Raw protein sequence reads and sequence
2024-02-08 | PXD049451 |
Project description:Osteosarcoma (OS) is the most prevalent primary malignant bone tumor.We have recently succeeded in generating CSC-like cells (MG-OKS) from the OS cell line MG-63 by transducing defined factors. A significant increase was observed in small proline-rich protein 1A (SPRR1A) expression, a cross-linked envelope protein in keratinocytes, in MG-OKS cells. This study aimed to evaluate the role of SPRR1A in OS using novel MG-OKS cells. MG-OKS cells were transfected with SPRR1A siRNA (siMG-OKS) to suppress SPRR1A expression selectively; MG-OKS and scrambled siRNA-transfected MG-OKS (scMG-OKS) cells served as controls. Our date that genes involved in cell adhesion were suppressed in the siMG-OKS group, suggesting that suppression of cell adhesion may cause phenotypic changes.
2024-11-01 | GSE268670 | GEO
Project description:Three osteosarcoma (OS) cell lines (MG-63, Saos-2 and U-2 OS) and 1 osteoblastic cell line (hFOB1.19) were collected for this work. MG-63 was kindly provided by Dr. Agi Grigoriadis from University College London. Saos-2, U-2 OS and hFOB1.19 were purchased from ATCC. All cells used were kept in exponential phase of growth. Total RNA was extracted using the RNeasy Total RNA Isolation kit (QIAGEN). The quality and purity of the products were controlled by Agilent 2100. The final synthesized biotinylated cDNAs were hybridized to Affymetrix GeneChip® U133A 2.0 arrays following the protocol strictly. Arrays were scanned with the Affymetrix scanner 3000. Data analysis was performed by Microarray Suite 5.0 after pre-standard procedure.
2011-09-16 | GSE14789 | GEO
Project description:Due to the lack of a precise in vitro model that can mimic the nature microenvironment in osteosarcoma, the understanding of its resistance to chemical drugs remains limited. Here, we report a novel three-dimensional model of osteosarcoma constructed by seeding tumor cells (MG-63 and MNNG/HOS Cl #5) within in demineralized bone matrix scaffolds. Demineralized bone matrix scaffolds retain the original components of the natural bone matrix (hydroxyapatite and collagen type I), and possess good biocompatibility allowing osteosarcoma cells to proliferate and aggregate into clusters within the pores. Growing within the scaffold conferred elevated resistance to doxorubicin on MG-63 and MNNG/HOS Cl #5 cell lines as compared with two-dimensional cultures. Transcriptomic analysis showed an increased enrichment for drug resistance genes along with enhanced glutamine metabolism in osteosarcoma cells in demineralized bone matrix scaffolds. Inhibition of glutamine metabolism resulted a decrease in drug resistance of osteosarcoma, which could be restored by α-ketoglutarate supplementation. Overall, our study suggests that microenvironmental cues in demineralized bone matrix scaffolds can enhance osteosarcoma drug responses and that targeting glutamine metabolism may be a strategy for treating osteosarcoma drug resistance.
2023-12-20 | GSE234632 | GEO
Project description:Three osteosarcoma (OS) cell lines (MG-63, Saos-2 and U-2 OS) and 1 osteoblastic cell line (hFOB1.19) were collected for this work. MG-63 was kindly provided by Dr. Agi Grigoriadis from University College London. Saos-2, U-2 OS and hFOB1.19 were purchased from ATCC. All cells used were kept in exponential phase of growth. Total RNA was extracted using the RNeasy Total RNA Isolation kit (QIAGEN). The quality and purity of the products were controlled by Agilent 2100. The final synthesized biotinylated cDNAs were hybridized to Affymetrix GeneChip® U133A 2.0 arrays following the protocol strictly. Arrays were scanned with the Affymetrix scanner 3000. Data analysis was performed by Microarray Suite 5.0 after pre-standard procedure. Link-test on datasets from both SELDI-TOF-MS and microarray high-throughput analysis platforms can accelerate the identification of tumor biomarkers. The results confirmed that CYC-1 with important biomedical function was an effective candidate biomarker for osteosarcoma early diagnosis.
2011-09-15 | E-GEOD-14789 | biostudies-arrayexpress
Project description:Purpose: To monitor the different of ISCs and cell fate alteration upon Mettl3 deletion, we use single cell sequencing to examine the sequence information from individual cells with optimized next-generation sequencing (NGS) technologies, providing a single-cell resolution of cellular differences. Methods:Alive intestinal epithelial cells were sorted from WT and Mettl3-KO mice at 4 dpt. ScRNA-seq libraries were generated using the Chromium Single Cell 3’ Reagent Ki V3 (10X Genomics). The libraries were sequenced as paired-end with Illumina Novaseq 6000. Raw reads were aligned to the GRCm38/mm10 mouse genome, and Cell Ranger (v3.1.0) was used to estimate unique molecular identifiers (UMIs). Raw aligned features were loaded and processed using the Seurat package (v4.0.2). Low-quality cells were filtered if they expressed no more than 200 genes or with more than 20% of mitochondrial genes. Results: After cells with low information content and a high fraction of mitochondrial RNAs were excluded, 7865 cells (4467 WT and 3398 KO) were analyzed. Conclusions: Mettl3 deletion reduced the expression of stem cell signature genes but unchanged proliferation profile in ISCs. Thus, we conclude that Mettl3 deletion leads to loss of stemness but not proliferation, and enhanced regeneration and apoptosis.
2023-04-13 | GSE186913 | GEO
Project description:In order to identify the targets of miR-193a-5p in osteosarcoma U2OS cell line, we used a lentivirus-mediated expression system to overexpressing miR-193a precusor, miR-193a-5p target sequence and non-target sequence, respectively, in osteosarcoma cell line U2OS. A tandem mass tag (TMT)-based quantitative proteomic strategy was employed to identify the global profile of miR-193a-5p-regulated proteins. order to identify the targets of miR-193a-5p, we used a lentivirus-mediated expression system to overexpressing miR-193a precusor, miR-193a-5p target sequence and non-target sequence, respectively, in osteosarcoma cell line U2OS. A tandem mass tag (TMT)-based quantitative proteomic strategy was employed to identify the global profile of miR-193a-5p-regulated proteins.
2021-09-08 | PXD013987 | Pride
Project description:The goals of this study are to use Next-generation sequencing (NGS)to detect bacterial mRNA profiles of Acinetobacter baylyi ADP1 in response to 0, 1 mg/L AgNPs or Ag ions, 1 mg/L CuO NPs or Cu ions, 10 mg/L ZnO NPs or Zn ions for 2 h, in triplicate, using Illumina HiSeq 2500.The NGS QC toolkit (version 2.3.3) was used to treat the raw sequence reads to trim the 3’-end residual adaptors and primers, and the ambiguous characters in the reads were removed. Then, the sequence reads consisting of at least 85% bases were progressively trimmed at the 3’-ends until a quality value ≥ 20 were kept. Downstream analyses were performed using the generated clean reads of no shorter than 75 bp. The clean reads of each sample were aligned to the E. coli reference genome (NC_000913) using SeqAlto (version 0.5). Cufflinks (version 2.2.1) was used to calculate the strand-specific coverage for each gene, and to analyze the differential expression in triplicate bacterial cell cultures. The statistical analyses and visualization were conducted using CummeRbund package in R (http://compbio.mit.edu/cummeRbund/). Gene expression was calculated as fragments per kilobase of a gene per million mapped reads (FPKM, a normalized value generated from the frequency of detection and the length of a given gene.
2020-10-23 | GSE139295 | GEO
Project description:Our transcriptomic data shows that iron impact on human osteoblastic MG-63 cells by decreasing HHIPL-2 gene expression (2 fold ratio). This impact is corrected in presence of deferoxamine. Additional biological experiments in the manuscript suggest that the iron related modulation of HHIPL-2 gene expression could take place in the decrease of osteoblastic markers in the MG-63 cell line. Such mechanisms could participate to the development of osteoporosis in iron overloaded patients.
2012-09-01 | GSE30774 | GEO