Gene expression data from the syngeneic mouse endometriosis model
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ABSTRACT:
PROVIDER: PRJNA786343 | ENA |
REPOSITORIES: ENA
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Project description:Retrograde menstruation is considered a major reason for the development of endometriosis. The syngeneic transplantation mouse model is an endometriosis animal model that is considered to mimic retrograde menstruation. However, it remains poorly understood which genetic signatures of endometriosis are reflected in this model. Here, we employed an in vivo syngeneic mouse endometriosis model and identified differentially expressed genes (DEGs) between the ectopic and eutopic tissues using microarray analysis.
2022-02-28 | GSE190209 | GEO
Project description:Nude mouse model of endometriosis
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Project description:The cell line-derived xenografts and patient derived xenografts have limited use in cancer immunotherapy evaluation because an immune compromised host is required for xenotransplantation. Syngeneic mouse models are derived by transplanting established mouse cell lines or tumor tissues to strain matched mouse hosts, which are better suited to study the interplay between immune and tumor cells. We investigated the differences as well as similarities of a panel of ten mouse syngeneic models to features of human tumors by proteomics, which will provide valuable information to assist experimental biologists in model selection.
2019-12-03 | PXD011885 | Pride
Project description:The biologic basis for NSCLC metastasis is not well understood. Here we addressed this deficiency by transcriptionally profiling tumors from a genetic mouse model of human lung adenocarcinoma that develops metastatic disease owing to the expression of K-rasG12D and p53R172H. As a tool to investigate the biologic basis for metastasis in this model and to query the roles of specific genes in this signature, we isolated adenocarcinoma cell lines from these mice and used them to develop a syngeneic tumor model in wild-type littermates. Transcriptional profiling of the highly metastatic subcutaneous tumors revealed genes that regulate, among other processes, epithelial-to-mesenchymal transition and intra-tumoral inflammation and angiogenesis, whereas the non-metastatic tumors did not. Experiment Overall Design: Cell lines from p53R172Hâg/+ K-rasLA1/+ mice were derived from tumor tissues removed at autopsy from two different mice (#344 and #393). The tissues were minced, placed in culture, and passed serially in RPMI 1640 supplemented with 10% fetal bovine serum (FBS), which yielded mass populations of tumor cells derived from primary lung tumors (344P and 393P), mediastinal lymph nodes (344LN and 393LN), and a subcutaneous site (344SQ). Syngeneic tumors were isolated, carefully dissected to remove the adjacent tissue, snap-frozen in liquid nitrogen and stored at -80° until use. Part of each dissected tumor was histologically evaluated by a board-certified pathologist. Snap-frozen samples were processed and analyzed on Affymetrix Mouse Expression Array 430A 2.0 chips. Experiment Overall Design: Expression profiling performed on 344SQ, 393P, and 393LN
2009-11-28 | E-GEOD-14458 | biostudies-arrayexpress
Project description:The biologic basis for NSCLC metastasis is not well understood. Here we addressed this deficiency by transcriptionally profiling tumors from a genetic mouse model of human lung adenocarcinoma that develops metastatic disease owing to the expression of K-rasG12D and p53R172H. As a tool to investigate the biologic basis for metastasis in this model and to query the roles of specific genes in this signature, we isolated adenocarcinoma cell lines from these mice and used them to develop a syngeneic tumor model in wild-type littermates. Transcriptional profiling of the highly metastatic subcutaneous tumors revealed genes that regulate, among other processes, epithelial-to-mesenchymal transition and intra-tumoral inflammation and angiogenesis, whereas the non-metastatic tumors did not. Keywords: two group comparison
2009-11-10 | GSE14458 | GEO
Project description:This SuperSeries is composed of the following subset Series:; GSE14449: Gene expression profiles of spontaneous metastasis in a K-ras/p53 mutant mouse model; GSE14458: Gene expression profiles of 344SQ lung adenocarcinoma cells with high metastatic potential (syngeneic mouse model) Experiment Overall Design: Refer to individual Series
2009-11-23 | E-GEOD-14459 | biostudies-arrayexpress
Project description:We performed gene expression analysis human peritoneal endometriosis lesions, eutopic endometrium from endometriosis patients and peritoneum form endometriosis patients.The goal of the study was to analyse gene expression differences between peritoneal endometriosis lesion and eutopic endometrium and peritoneal endometriosis lesion and peritoneum.
2012-12-06 | E-MTAB-694 | biostudies-arrayexpress
Project description:T cell infiltration is essential for immune checkpoint inhibitors to be effective in treating solid cancers. Through a bioinformatic pipeline, we identified a target gene SUN1 that might relate to modulating immune cell infiltration and immune response. Thus, we generated one Sun1_knockout CT26 cell line (Sun1_KO) using CRISPR-Cas9. By performing multiome single nuclei sequencing using tumors grown in syngeneic model, we set out to understand how mouse Sun1 can affect the regulatory network in tumor cells in vivo.
2024-03-29 | GSE262237 | GEO
Project description:Mechanisms of immune dysregulation against established tumors are relatively well understood. Much less is known about the role of immune effectors against cancer precursor lesions. Endometrioid and clear cell ovarian tumors may partly derive from endometriosis, a commonly diagnosed chronic inflammatory disease. We performed here the most comprehensive immune gene expression analysis of pelvic inflammation in endometriosis and endometriosis-associated ovarian cancer (EAOC). RNA was extracted from 120 paraffin tissue blocks comprising of normal endometrium (n=32), benign endometriosis (n=30), atypical endometriosis (n=15) and EAOC (n=43). Serous tumors (n=15) were included as non-endometriosis associated controls. The immune microenvironment was profiled using Nanostring and the nCounter® GX Human Immunology Kit, comprising probes for a total of 511 immune genes. Please note that 3 normal endometrium samples did not pass the array quality filtering and therefore excluded in the data analyses.
2015-01-07 | E-GEOD-57545 | biostudies-arrayexpress
Project description:The pathophysiology of endometriotic lesion development remains unclear but involves a complex interaction between ectopic endometrium and host peritoneal tissues. We hypothesised that disruption of this interaction was likely to suppress endometriotic lesion formation. We hoped to delineate the molecular and cellular dialogue between ectopic human endometrium and peritoneal tissues in nude mice, as a first step towards testing this hypothesis. Human endometrium was xenografted into nude mice and the resulting lesions were analysed using microarrays. A novel technique was developed that unambiguously determined whether RNA transcripts identified by the microarray analyses originated from human cells (endometrium) or mouse cells (stroma). Four key pathways (ubiquitin/proteosome, inflammation, tissue remodelling/repair and ras-mediated oncogenesis) were revealed, that demonstrated communication between host stromal cells and ectopic endometrium. Morphometric analysis of nude mouse lesions confirmed that necrosis, inflammation, healing and repair and cell proliferation occurred during xenograft development. These processes were entirely consistent with the molecular networks revealed by the microarray data. The transcripts detected in the xenografts overlapped with transcripts differentially expressed in a comparison between paired eutopic and ectopic endometrium from human endometriotic patients. For the first time components of the interaction between ectopic endometrium and peritoneal stromal tissues have been revealed in ectopic endometrial lesions. Targeted disruption of this dialogue is likely to disrupt endometriotic tissue formation and may prove to be an effective therapeutic strategy for endometriosis. Keywords: time course, disease state analysis.
2008-12-22 | GSE11768 | GEO