Skip to main content

Analysis tenascin-C for suppression of Human Brain Tumor with Interference RNA

Glioblastoma multiforme (GBM) accounts for approximately 12-15% of intracranial neoplasms. The GBM remains refractory to therapy because of tumor heterogenity, local invasion, and non-uniform vascular permeability to drugs. Patients with GBM have the median survival of approximately 8-10 months, and for those cases where tumor recurs, the average time of tumor progression after therapy is only eight weeks. A combination of different treatment modes as surgery and chemo- or/and radiotherapy extend survival only for a short time, if any. Recently, tenascin-C (TN-C) as a dominant epitope in glioblastoma has been discovered. Tenascin-C is a multidomain large extracellular matrix glycoprotein composed of six monomers. The size of tenascin-C monomers (180-250kDa) varies as a result of an alternative splicing of the fibronectin repeats at the pre-mRNA level. For the first time we applied bioinformatic and molecular modeling procedures, for detailed analysis of the organization of tenascin-C and we performed bioinformatic analysis of tenascin-C gene. We showed the higher level of tenascin-C in the human tumor tissues: brain, intestine and breast. These results suggested a new role of tenascin-C as the potential tumor marker and drug target.

Comments

Popular posts from this blog

International Supercomputing Conference, Hamburg, Germany 23th June 2009

The International Supercomputing Conference is the Europe’s premier HPC event. The attendance allows observing trends science and technology of High Performance Computing for whole next year. 2009 edition achieved record numbers of attendees and exhibitors, a level of success even more impressive given the international economic crisis. With its move to Hamburg, ISC’09 reached a significantly higher level of attendance, bringing 1,670 HPC industry leaders. Research labs demonstrated their scientific applications of supercomputing in most recent fields such us GPGPU accelerators, clouds and green computing. Furthermore, this, ISC’09 also welcomed several first-time exhibitors. The exhibition brought countless highlights such as the demo of both the IS5000 40 Gb/s infniband switches and low-latency 10 Gigabit Ethernet. The attendance on ISC’09 allows to anticipate future development of ATLAS system and to present current achievements’ of ToK4nEDA team. Jakub Paś Jakub Paś Ja

NaRCiSuS

Structural genomics is the wide term which describes process of determination of structure representation of information in human genome and at present is limited almost exclusively on proteins. Although in common understanding genetic information means “genes and their encoded protein products”, thousands of human genes produce transcripts which are important in biological point of view but they do not necessarily produce proteins. Furthermore, even though the sequence of the human DNA is known by now, the meaning of the most of the sequences still remains unknown. It is very likely that a large amount of genes has been highly underestimated, mainly because the actual gene finders only work well for large, highly expressed, evolutionary conserved protein-coding genes. Most of those genome elements encode for RNA from which transfer and ribosomal RNAs are the classical examples. But beside these well-known molecules there is a vast unknown world of tiny RNAs that might play a crucial r

GRDB – Gene Relational DataBase

We have developed a fully automated web service available for the academic community which purpose is to increase the sensitivity of the detection of distantly related protein families. Predicted secondary structure information was added to the information about sequence conservation and variability, a technique known from hybrid threading approaches. The accuracy of the meta profiles created this way is compared with profiles containing only sequence information and with the standard approach of aligning a single sequence with a profile. Additionally, the alignment of meta profiles is more sensitive in detecting remote homology between protein families and more effective than aligning two sequence-only profiles or profile to sequence. The specificity of the alignment score is improved in it’s lower range compared to the robust sequence-only profiles. ( More ) Comprehensive classification of nucleotidyltransferase fold proteins: identification of novel families and their representatives in