Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Hoor Al-Hasani"'
Autor:
Vincent Vuaroqueaux, Hans R. Hendriks, Hoor Al-Hasani, Anne-Lise Peille, Samayita Das, Heinz-Herbert Fiebig
Publikováno v:
npj Precision Oncology, Vol 5, Iss 1, Pp 1-11 (2021)
Abstract MI-773 is a recently developed small-molecule inhibitor of the mouse double minute 2 (MDM2) proto-oncogene. Preclinical data on the anti-tumour activity of MI-773 are limited and indicate that tumour cell lines (CLs) with mutated TP53 are mo
Externí odkaz:
https://doaj.org/article/fa935edd769044dbbcb37ff0f6b1cc5a
Autor:
Nadia Kress, Diana Santacruz, Laura Arrigoni, Ilaria Panzeri, Thomas Manke, Fidel Ramírez, Devon Ryan, Hoor Al-Hasani, John Andrew Pospisilik, Ulrike Bönisch
Publikováno v:
Communications Biology, Vol 1, Iss 1, Pp 1-12 (2018)
Communications Biology
Communications Biology
Chromatin immunoprecipitation followed by deep sequencing (ChIP-seq) is an invaluable tool for mapping chromatin-associated proteins. Current barcoding strategies aim to improve assay throughput and scalability but intense sample handling and lack of
Publikováno v:
Cancer Research. 81:LB107-LB107
In 2020, kidney cancers accounted for more than 4.1% of new cancer cases worldwide. Among these, more than 90% were renal cell carcinoma (RCC), a very heterogenous disease consisting of 3 major subtypes: chromophobe , papillary and clear cell. These
Autor:
Thomas Risch, Hoor Al-Hasani, Ulrike Stein, Susen Burock, Marie-Laure Yaspo, Heinz-Herbert Fiebig, Vincent Vuaroqueaux, Dennis Kobelt
Publikováno v:
Cancer Research. 81:2879-2879
Metastasis-Associated in Colon Cancer 1 (MACC1) is a strong prognostic marker for human colorectal cancers (CRC). The gene is a key regulator of the HGF/c-Met pathway and its overexpression is associated with cancer cell proliferation, migration, inv
Autor:
Vincent Vuaroqueaux, Oliver Siedentopf, Sarah Ulrich, Anne-Lise Peille, Sebastian Dempe, Daniel Feger, Hoor Al-Hasani, Heinz-Herbert Fiebig, Jan E. Ehlert
Publikováno v:
Cancer Research. 81:1027-1027
Testing novel anti-cancer agents across large panel of tumor models covering genetic diversity of cancers is increasingly considered as a cornerstone of preclinical development. For this purpose, Reaction Biology developed “ProLiFiler” a standard
Publikováno v:
Cancer Research. 81:1173-1173
Pancreatic cancer (PC) is the 12th most common cancer worldwide. Despite a large panel of chemo- and targeted therapeutics options, patient prognosis remains poor with a 5-years overall survival below 10%. Thus, there is still a critical need to deve
Publikováno v:
Molecular Cancer Therapeutics. 18:C060-C060
The Mouse Double Minute 2 (MDM2) proto-oncogene is a primary cellular inhibitor of p53 tumor suppressor protein. MDM2 encodes for a nuclear-localized E3 ubiquitin-protein ligase via direct interaction responsible for proteasomal degradation of p53. I
Publikováno v:
Molecular Cancer Therapeutics. 18:C075-C075
4HF Biotec recently developed an in-silico platform dedicated to cancer data investigations. It connects cancer-related molecular and drug sensitivity information enabling target and biomarker discovery. We used the platform to perform an integrative
Publikováno v:
Cancer Research. 79:2196-2196
MEK inhibitors emerged as a promising class of anti-cancer agents to inhibit KRAS/RAF driven tumors like melanoma and colorectal cancer. GDC-0623 is a potent ATP-noncompetitive allosteric MEK1 inhibitor. The compound forms a strong hydrogen bond with
Autor:
Frank Beutner, Holger Kirsten, Markus Löffler, Katrin Horn, Arnd Gross, Knut Krohn, Kristin Reiche, Ralph Burkhardt, Lesca M. Holdt, Daniel Teupser, Joachim Thiery, Hoor Al-Hasani, Peter Ahnert, Jörg Hackermüller, Markus Scholz
Publikováno v:
Human Molecular Genetics
Genetics of gene expression (eQTLs or expression QTLs) has proved an indispensable tool for understanding biological pathways and pathomechanisms of trait-associated SNPs. However, power of most genome-wide eQTL studies is still limited. We performed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0df536b47a3af568fce7c0025e8b319
https://publica.fraunhofer.de/handle/publica/241826
https://publica.fraunhofer.de/handle/publica/241826