Temposeq of human colon cancer tissue
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PROVIDER: PRJEB63261 | ENA |
REPOSITORIES: ENA
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Project description:Uhlén2015 - Human tissue-based proteome metabolic network - colon
Human colon specific proteome metabolic network
This model is described in the article:
Tissue-based map of the human proteome
Uhlén M, Fagerberg L, Hallström BM, Lindskog C, Oksvold P, Mardinoglu A, Sivertsson Å, Kampf C, Sjöstedt E, Asplund A, Olsson I, Edllund K, Lundberg E, Navani S, Szigyarto AC, Odeberg J, Djureinovic D, Takanen JO, Hober S, Alm T, Edqvist P, Berlin H, Tegel H, Mulder J, Rockberg J, Nilsson P, Schwenk JM, Hamsten M, von Feilitzen K, Forsberg M, Persson L, Johansson F, Zwahlen M, von Heijne G, Nielsen J, Pontén F.
Science 2015 January; 347(6220)
Abstract:
Resolving the molecular details of proteome variation in the different tissues and organs of the human body will greatly increase our knowledge of human biology and disease. Here, we present a map of the human tissue proteome based on an integrated omics approach that involves quantitative transcriptomics at the tissue and organ level, combined with tissue microarray–based immunohistochemistry, to achieve spatial localization of proteins down to the single-cell level. Our tissue-based analysis detected more than 90% of the putative protein-coding genes. We used this approach to explore the human secretome, the membrane proteome, the druggable proteome, the cancer proteome, and the metabolic functions in 32 different tissues and organs. All the data are integrated in an interactive Web-based database that allows exploration of individual proteins, as well as navigation of global expression patterns, in all major tissues and organs in the human body.
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2015-01-28 | MODEL1411240015 | BioModels
Project description:HCT116 human colon cancer cells and METTL14
| PRJNA776018 | ENA
Project description:We obtained snap-frozen tissue samples from 20 colorectal cancer (CRC) patients with stage III disease who had undergone curative resection. The expression profiles were determined using Affymetrix Human Genome U133Plus 2.0 arrays. We used microarrays to identify potential gene deregulation correlated with the outcomes of colon cancer patients.
2014-08-26 | GSE60697 | GEO
Project description:Goal of the experiment: To identify transcriptional patterns across tumors from colorectal cancer murine models and normal mouse colon samples at different developmental stages. Experiment description: Colorectal cancer (CRC) results from multiple genetic and epigenetic events that produce variable histologies and clinical outcomes. To identify gene regulatory programs that underlie colon tumorigenesis, we profiled gene expression in 39 mouse colon tumors from four independent mouse models and compared this to mouse colon embryonic development, as well as with 100 human colon carcinomas. Here, we report a striking recapitulation of embryonic patterns of gene expression in both mouse and human colon tumors. All four of the mouse colon tumor models exhibited large-scale activation of embryonic gene expression signatures. The two nuclear beta-catenin-positive mouse tumors (azoxymethane-treated [AOM] and ApcMin/+), exhibited strong activation of genes characteristic of those expressed in the earliest embryonic stages, while tumors from two other models (Smad3-/- and Tgfb1-/- x Rag2-/-) exhibited lower activation of early stage-specific genes but substantial expression of general embryonic colon genes. Human colon cancer cases over-expressed genes characteristic of both early and late embryonic stages. Examining tumor gene expression through the lens of development has revealed an extensive network of therapeutic targets for cancer control. Keywords: Tumors from four murine models of colorectal cancer and normal mouse colon samples at different developmental stages
2006-07-08 | GSE5204 | GEO
Project description:Using the highly sensitive miRCURY LNA™ microRNA array, we screened 3100 microRNAs abundant in the human colon cancer and Adjacent normal gastric mucosa tissues, and the function of differentially expressed microRNAs were analyzed by bioinformatics. The enrichment results indicated that these microRNAs perhaps participated in the occurrence and development process of colon cancer. In this study, three cases of colon cancer were used to acquire the microRNA expression profiling, and qPCR was employed to confirm the results of microRNA chip. The function of the differentially expressed microRNA were analyzed by bioinformatic methods.Finally,compared with the adjacent normal mucosa tissues，the expression of 2 microRNAs were up regulated in colon cancer. qPCR results showed an expression pattern consistent with that of the chip analysis.
2017-07-18 | GSE101502 | GEO
Project description:Colon Cancer Family Registry (Colon CFR)
| PRJNA789033 | ENA