Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Joerg D Hoheisel"'
Autor:
Michal Shenfeld, Yafit Hachmo, Moran Frenkel, Naomi Dafni, Michael Boettcher, Joerg D Hoheisel, Iris Dotan, Dan Canaani
Publikováno v:
PLoS ONE, Vol 7, Iss 2, p e31977 (2012)
Within the large group of Estrogen Receptor alpha (ERα)-negative breast cancer patients, there is a subgroup carrying the phenotype ERα(-), PR(-), and Her2(-), named accordingly "Triple-Negative" (TN). Using cell lines derived from this TN group, w
Externí odkaz:
https://doaj.org/article/71e97a1b778a45fa85e7dae720efc2f9
Autor:
Henning Boekhoff, Laura Hendricks, Elena Cairo, Andrea Bauer, Mari Hambardzumyan, Markus W. Büchler, Silvia Calderazzo, Vivienn Weru, Anette Kopp-Schneider, Hermann Brenner, Thilo Hackert, Oliver Strobel, Tim Waterboer, Nathalia Giese, Joerg D. Hoheisel
Publikováno v:
Cancer Research. 82:A035-A035
Tumor-associated autoreactive antibodies could represent a moderately sensitive but highly specific type of biomarker. While autoantibodies in the blood of patients with pancreatic cancer have been reported, the consensus among studies is low and dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3feb4c9e33bef5864bf75dc9e0d16144
https://doi.org/10.1158/1538-7445.panca22-a035
https://doi.org/10.1158/1538-7445.panca22-a035
Publikováno v:
ChemInform. 37
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ac600231666341b45d3eb842841f798
https://doi.org/10.1002/chin.200630288
https://doi.org/10.1002/chin.200630288
Autor:
Joerg D. Hoheisel, Andrew Hayes, Nianshu Zhang, Fei Ling Lim, Philip R. Butler, Andrew D. Sharrocks, Jian Wu, Nicole Hauser, Stephen G. Oliver
Publikováno v:
Methods (San Diego, Calif.). 26(3)
Hybridization array technology is increasingly being used for the analysis of gene expression in the yeast Saccharomyces cerevisiae. It is a powerful technique in which the relative abundance of all the mRNA molecules transcribed under a particular c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9bd5ee93264eee214e7032d8d4e3b5ea
https://pubmed.ncbi.nlm.nih.gov/12054884
https://pubmed.ncbi.nlm.nih.gov/12054884
Autor:
Alister G. Craig, Jörg D. Hoheisel
Automation is the major future trend for many areas in microbiology, molecular biology, and biochemistry, among other disciplines. It is an enormously exciting area, where techniques and assays that were once repetitive, tedious, and time consuming c
