Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Insulin-Like Growth Factor Binding Proteins/genetics"'
Autor:
Somayeh Khazaei, Ana Bosch, Helena Jernström, Christopher Godina, Edward Visse, Karolin Isaksson, Helga Tryggvadottir, Karin Jirström, Björn Nodin, Signe Borgquist
Publikováno v:
Godina, C, Khazaei, S, Tryggvadottir, H, Visse, E, Nodin, B, Jirström, K, Borgquist, S, Bosch, A, Isaksson, K & Jernström, H 2021, ' Prognostic impact of tumor-specific insulin-like growth factor binding protein 7 (IGFBP7) levels in breast cancer : A prospective cohort study ', Carcinogenesis, vol. 42, no. 11, pp. 1314-1325 . https://doi.org/10.1093/carcin/bgab090
Carcinogenesis
Carcinogenesis
The prognostic impact of insulin-like growth factor binding protein 7 (IGFBP7) in breast cancer is unclear. Host factors, including lifestyle, anthropometry and metabolic profile, might influence tumor-specific IGFBP7. This study aimed to investigate
Autor:
Patrick Delafontaine, Samir Myit, Stéphane Giraud, Marijke Brink, Giulio Gabbiani, Marie-Luce Bochaton-Piallat
Publikováno v:
Journal of Vascular Research, Vol. 40, No 2 (2003) pp. 97-104
Different smooth muscle cell phenotypes coexist in arteries. The majority of cells cultured from a normal rat aortic media have a spindle-shaped phenotype while cells isolated from an intimal thickening 15 days after endothelial injury show a distinc
Publikováno v:
Macqueen, D J, Garcia de la Serrana, D & Johnston, I A 2013, ' Evolution of ancient functions in the vertebrate insulin-like growth factor system uncovered by study of duplicated salmonid fish genomes ', Molecular Biology and Evolution, vol. 30, no. 5, pp. 1060-76 . https://doi.org/10.1093/molbev/mst017
Molecular Biology and Evolution
Molecular Biology and Evolution
This work was supported by the Marine Alliance for Science and Technology for Scotland pooling initiative, funded by the Scottish Funding Council (grant number HR09011) and contributing institutions. Whole genome duplication (WGD) was experienced twi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69901f0117739ea03a4974936f9322cf
https://hdl.handle.net/20.500.11820/27a1351f-4219-4420-a0ab-1312373956e7
https://hdl.handle.net/20.500.11820/27a1351f-4219-4420-a0ab-1312373956e7
Autor:
Ovidiu Radulescu, Bernard Delyon, Olivier Delattre, Tatiana Baumuratova, Anne Siegel, Didier Surdez, Gautier Stoll
Publikováno v:
BMC Systems Biology
BMC Systems Biology, 2010, 4 (1), pp.146. ⟨10.1186/1752-0509-4-146⟩
BMC Systems Biology, BioMed Central, 2010, 4 (1), pp.146. 〈10.1186/1752-0509-4-146〉
BMC Systems Biology, BioMed Central, 2010, 4 (1), pp.146. ⟨10.1186/1752-0509-4-146⟩
BMC Systems Biology, 4, 146. England (2010).
BMC Systems Biology, Vol 4, Iss 1, p 146 (2010)
BMC Systems Biology, 2010, 4 (1), pp.146. ⟨10.1186/1752-0509-4-146⟩
BMC Systems Biology, BioMed Central, 2010, 4 (1), pp.146. 〈10.1186/1752-0509-4-146〉
BMC Systems Biology, BioMed Central, 2010, 4 (1), pp.146. ⟨10.1186/1752-0509-4-146⟩
BMC Systems Biology, 4, 146. England (2010).
BMC Systems Biology, Vol 4, Iss 1, p 146 (2010)
Background A wide range of techniques is now available for analyzing regulatory networks. Nonetheless, most of these techniques fail to interpret large-scale transcriptional data at the post-translational level. Results We address the question of usi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9beb7d7e6cb99cd6ec86dd2aec4812ee
https://www.hal.inserm.fr/inserm-00984711
https://www.hal.inserm.fr/inserm-00984711