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Most relevant scientific articles
Research Groups
ruiZ-PéreZ mV, medina ma, urdiales Jl, Keinänen ta, sáncheZ-JiméneZ F. Polyamine metabolism is sensi- tive to glycolysis inhibition in human neuroblastoma cells. J Biol Chem. 2015;290:6106-19. doi: 10.1074/jbc. M114.619197. PMID: 2559331.
garcía-Vilas Ja, medina ma, melo Fr, PeJler g, garcía-Faroldi g. Damnacanthal inhibits IgE recep- tor-mediated activation of mast cells. Mol Immunol. 2015;65:86-93. doi: 10.1016/j.molimm.2015.01.008. PMID: 25656801.
garcía-Vilas Ja, quesada ar, medina ma. Damnacanthal, a noni anthraquinone, inhibits c-Met and is a potent an-
Highlights
As members of the Inherited Metabolic Medicine area and the platform BIER we have revealed a metabolic relationship among the degree of NMYC amplification, aerobic glicolysis and polyamine bio- synthesis in pediatric neuroblastoma (ORPHA635), which open new perspectives for combined thera- pies (PMID:2559331), in accordance with results from a USA clinical phase trial (i.e.: PMID:25415050). Our results on the roles of biogenic amines in the field of rare diseases deserved to be invited papers in international specialized meetings (ie: 44th annu- al meeting of EHRS and Gordon Conference on Polyamine 2015).
We continue working on the characterization of compounds acting as angiogenesis modulators, a subject relevant in many rare diseases (RD) (PMID22882737); for instance, mastocytosis (OR- PHA98292) and other immune RD and hepatocel- lular carcinoma (ORPHA88673)( PMIDs:25656801; 25620570 y 26703630).
titumor compound against Hep G2 human hepatocellu- lar carcinoma cells. Sci Rep. 2015;5:8021. doi: 10.1038/ srep08021. PMID: 25620570.
lees Jg, ranea Ja, orengo ca. Identifying and character- ising key alternative splicing events in Drosophila develop- ment. BMC Genomics. 2015 Aug 16;16:608. doi: 10.1186/ s12864-015-1674-2. PMID: 26275604.
lees Jg, hériché JK, morilla i, FernándeZ Jm, adler P, Krallinger m, Vilo J, Valencia a, ellenBerg J, ranea Ja, orengo c. FUN-L: gene prioritization for RNAi screens. Bioinformatics. 2015 Jun 15;31(12):2052-3. doi: 10.1093/ bioinformatics/btv073. PMID: 25667547.
We have developed a method to enhance proteomic analysis of proteins expressed at low levels as well as their post-translational modifications (ie: phos- phorilation) (PMID:26620529). This method will be very usefull to understand metabolic/signal trans- duction changes underlying many RD.
In the Biocomputational field, we have participated in development of Kpath (PMID:26055101), a data- base able to integrate metabolic information. It also enables not only the browsing but also a deep use of the integrated data to build metabolic networks. In addition, we continue our collaborations with sev- eral other CIBERER groups to apply our previous developed tools, as well as with other international groups to develop new biocomputational predic- tive tools to be applied on RD (PMIDs:26275604 y 25667547).
We also participated in several RD information divul- gative events.
Institution: Universidad de Málaga · Contact: Facultad de Ciencias · Campus de Teatinos s/n. Módulo de Biología, 1a planta. 29071 Málaga · Tel.: 952 131 674 · E.mail: [email protected] Website: http://www.bmbq.uma.es/procel/index.html
CIBERER I Annual report 2015 I 119