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Profiling in vivo Bone Lesion (IVBL) and Orthotopic tumors by Next Generation Sequencing

ABSTRACT: Profiling in vivo Bone Lesion (IVBL) and Orthotopic tumors by Next Generation Sequencing

PROVIDER: PRJNA433732 | ENA |

REPOSITORIES: ENA

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Profiling in vivo Bone Lesion (IVBL) and Orthotopic tumors by Next Generation Sequencing

Project description:Based on RNA-seq, we performed transcriptomic profiling to examine the differences between Orthotopic and IVBL (in vivo bone lesion). We found Calcium signalling is upregulated in IVBL and correlated to the expression of gap junctions.

2018-10-16 | GSE110451 | GEO

Profiling in vivo Bone Lesion and ex vivo Bone-In-Culture Array Samples by Next-Generation Sequencing

Project description:Based on RNA-seq, we performed transcriptomic profiling to examine the similarities or differences between BICA (bone-in-culture array) and IVBL (in vivo bone lesion). CIBERSORT analysis reveals that the major local cellular components are comparable between BICA and IVBL, but differ dramatically in orthotopic tumors. Principle component analysis of human RNAs indicated that the transcriptomic profiles of cancer cells in BICA are more closely mimicking IVBL, as compared to cancer cells in 2D and in orthotopic tumors. These results provide transcriptome-wide evidence supporting BICA as a platform to mimic bone microenvironment.

2017-01-20 | GSE84114 | GEO

Expression data from the orthotopic tumors of MES-SA

Project description:The spontaneous pulmonary metastasis model of human uterine sarcoma was established using GFP-expressed MES-SA cells. Several sublines with different metastatic potentials were generated by in vivo passaging. We used microarrays to identify the metastatic-related genes using the orthotopic tumors with different metastatic potentials. Orthotopic transplanted uterine sarcoma were observed after 3 weeks post-transplantation and the xenografted tumor reached about 2000 mm3 in additional 3 weeks. After 6 weeks post-transplantation, the animals were sacrificed under isoflurane anesthesia, and the tumors were resected. The GFP-positive regions were collected using Leica MZ10F fluorescent stereomicroscope. This study compared the gene expression profiling between the orthotopic tumors with high (H)- and low (L)-metastatic potentials.

2014-12-08 | E-GEOD-63937 | biostudies-arrayexpress

RNA-seq of Sting overexpressing orthotopic pancreas tumors

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Profiling in vivo Bone Lesion and ex vivo Bone-In-Culture Array Samples by Next-Generation Sequencing

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Gene Expression Analysis of 4T1 orthotopic tumors in PDGFRb-TK mice

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2017-03-09 | GSE55785 | GEO

Glioblastoma Orthotopic Xenograft Transcriptome

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Expression data from the orthotopic tumors of MES-SA

2014-12-08 | GSE63937 | GEO

Expression analysis of murine primary and derived orthotopic SEOC tumors

Project description:We previously generated genetically engineered mouse (GEM) models based on perturbation of Tp53, Rb with or without Brca1 or Brca2 that develop serous epithelial ovarian cancer (SEOC) closely resembling the human disease on histologic and molecular levels. We have adapted these GEM models to orthotopic allografts that uniformly develop tumors with short latency in immunocompetent recipients and are ideally suited for routine preclinical studies. To monitor passaged tumors at the molecular level, we analyzed transcriptional profiles of a set of primary SEOC and matching derived passaged tumors. We have merged this dataset with previously published ( doi: 10.1158/0008-5472.CAN-11-3834; PMID 22617326) dataset of murine primary ovarian tumors from our GEM models (GSE46169) and merged and compared them to expression profiles of human dataset published previously (doi: 10.1038/nature10166). The high mortality rate from ovarian cancers can be attributed to late-stage diagnosis and lack of effective treatment. Despite enormous effort to develop better targeted therapies, platinum-based chemotherapy still remains the standard of care for ovarian cancer patients, and resistance occurs at a high rate. One of the rate limiting factors for translation of new drug discoveries into clinical treatments has been the lack of suitable preclinical cancer models with high predictive value. We previously generated genetically engineered mouse (GEM) models based on perturbation of Tp53, Rb with or without Brca1 or Brca2 that develop serous epithelial ovarian cancer (SEOC) closely resembling the human disease on histologic and molecular levels. Here, we describe an adaptation of these GEM models to orthotopic allografts that uniformly develop tumors with short latency and are ideally suited for routine preclinical studies. RNA was isolated from flash frozen ovarian tumors using Trizol and Qiagen RNeasy columns

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Orthotopic KI tumors treated with vehicle or IRAK4 inhibitor CA-4948 for two weeks

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2022-12-31 | GSE197328 | GEO

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