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MOESM11 of PD-L1 and PD-L2 expression correlated genes in non-small-cell lung cancer

Autor: Larsen, Trine, Hussmann, Dianna, Nielsen, Anders

Additional file 11: Fig. S3. Heat map analyses of PD-L1 and PD-L2 expression correlation gene signatures in TCGA datasets (LUAD and LUSC). A, B. Heat map analyses of mRNA expression Z-values in TCGA dataset LUSC A and LUAD B of gene signatures repres

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b39ccf94846897de723d512cf2f52e45

Methylation-Sensitive High Resolution Melting (MS-HRM)

Autor: Hussmann, Dianna, Hansen, Lise Lotte

Publikováno v: Hussmann, D & Hansen, L L 2018, ' Methylation-Sensitive High Resolution Melting (MS-HRM) ', Methods in molecular biology (Clifton, N.J.), vol. 1708, pp. 551-571 . https://doi.org/10.1007/978-1-4939-7481-8_28

Methylation-Sensitive High Resolution Melting (MS-HRM) is an in-tube, PCR-based method to detect methylation levels at specific loci of interest. A unique primer design facilitates a high sensitivity of the assays enabling detection of down to 0.1-1%

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pure_au_____::d48b9cc316941ce3b63857b5b4219232
https://pure.au.dk/portal/da/publications/methylationsensitive-high-resolution-melting-mshrm(6dd3a63a-0a22-48cd-944d-b5ad64b15a53).html

Quantitative comparison of DNA methylation assays for biomarker development and clinical applications

Autor: Bock, Christoph, Halbritter, Florian, Carmona, Francisco J., Tierling, Sascha, Datlinger, Paul, Assenov, Yassen, Berdasco, María, Bergmann, Anke K., Booher, Keith, Busato, Florence, Campan, Mihaela, Dahl, Christina, Dahmcke, Christina M., Diep, Dinh, Fernández, Agustín F., Gerhauser, Clarissa, Haake, Andrea, Heilmann, Katharina, Holcomb, Thomas, Hussmann, Dianna, Ito, Mitsuteru, Kläver, Ruth, Kreutz, Martin, Kulis, Marta, López, Virginia, Nair, Shalima S., Paul, Dirk S., Plongthongkum, Nongluk, Qu, Wenjia, Queirós, Ana C., Reinicke, Frank, Sauter, Guido, Schlomm, Thorsten, Statham, Aaron, Stirzaker, Clare, Strogantsev, Ruslan, Urdinguio, Rocío G., Walter, Kimberly, Weichenhan, Dieter, Weisenberger, Daniel J., Beck, Stephan, Clark, Susan J., Esteller, Manel, Ferguson-Smith, Anne C., Fraga, Mario F., Guldberg, Per, Lotte Hansen, Lise, Laird, Peter W., Martín, José Ignacio, Nygren, Anders O. H., Peist, Ralf, Plass, Christoph, Shames, David S., Siebert, Reiner, Sun, Xueguang, Tost, Jörg, Walter, Jörn, Zhang, Kun

Publikováno v: Recercat. Dipósit de la Recerca de Catalunya
instname
Dipòsit Digital de la UB
Universidad de Barcelona
Bock, C; Halbritter, F; Carmona, FJ; Tierling, S; Datlinger, P; Assenov, Y; et al.(2016). Quantitative comparison of DNA methylation assays for biomarker development and clinical applications. Nature Biotechnology, 34(7), 726-737. doi: 10.1038/nbt.3605. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/7tf2342w
Digital.CSIC. Repositorio Institucional del CSIC
Bock, C, Halbritter, F, Carmona, F J, Tierling, S, Datlinger, P, Assenov, Y, Berdasco, M, Bergmann, A K, Booher, K, Busato, F, Campan, M, Dahl, C, Dahmcke, C M, Diep, D, Fernández, A F, Gerhauser, C, Haake, A, Heilmann, K, Holcomb, T, Hussmann, D, Ito, M, Kläver, R, Kreutz, M, Kulis, M, Lopez, V, Nair, S S, Paul, D S, Plongthongkum, N, Qu, W, Queirós, A C, Reinicke, F, Sauter, G, Schlomm, T, Statham, A, Stirzaker, C, Strogantsev, R, Urdinguio, R G, Walter, K, Weichenhan, D, Weisenberger, D J, Beck, S, Clark, S J, Esteller, M, Ferguson-Smith, A C, Fraga, M F, Guldberg, P, Hansen, L L, Laird, P W, Martín-Subero, J I, Nygren, A O H, Peist, R, Plass, C, Shames, D S, Siebert, R, Sun, X, Tost, J, Walter, J & Zhang, K 2016, ' Quantitative comparison of DNA methylation assays for biomarker development and clinical applications ', Nature Biotechnology, vol. 34, no. 7, pp. 726-737 . https://doi.org/10.1038/nbt.3605

The BLUEPRINT consortium
DNA methylation patterns are altered in numerous diseases and often correlate with clinically relevant information such as disease subtypes, prognosis and drug response. With suitable assays and after validation in large

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::affe02728fa269d7dd6cad500339a45e
https://pubmed.ncbi.nlm.nih.gov/27347756

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