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1.
Mater Sci Eng C Mater Biol Appl ; 79: 30-36, 2017 Oct 01.
Article in English | MEDLINE | ID: mdl-28629022

ABSTRACT

Carbon nanotubes (CNT) can be chemically modified by doping or functionalization to change the chemical and surface properties. These characteristic makes to CNT candidates for multiple applications including medical field in cardiovascular area. A novel method to CNT functionalization by formation of two compounds: α-bromoacid and the organic compound 2-(methacryloyloxy) ethyl phosphorylcholine (MPC), will be discussed in this article. According to results, CNT are suggested like candidates to repel oxidized low-density lipoproteins (ox-LDL) to prevent restenosis. The electronegative character on surface of functionalized CNT (F-CNT) is shown by wettability analysis observing a repellent behaviour in contact with ox-LDL after functionalization route. Here we analyse the toxicity of CNT and F-CNT on HepG2 cell line and find no damage to the cell membrane of HepG2 cells in concentration at doses below 1mg/ml.


Subject(s)
Nanotubes, Carbon , Lipoproteins, LDL , Stents , Surface Properties , Wettability
2.
Pac Symp Biocomput ; : 80-7, 2010.
Article in English | MEDLINE | ID: mdl-19908360

ABSTRACT

Current methods for high throughput sequencing (HTS) for the first time offer the opportunity to investigate the entire transcriptome in an essentially unbiased way. In many species, small non-coding RNAs with specific secondary structures constitute a significant part of the transcriptome. Some of these RNA classes, in particular microRNAs and snoRNAs, undergo maturation processes that lead to the production of shorter RNAs. After mapping the sequences to the reference genome specific patterns of short reads can be observed. These read patterns seem to reflect the processing and thus are specific for the RNA transcripts of which they are derived from. We explore here the potential of short read sequence data in the classification and identification of non-coding RNAs.


Subject(s)
RNA, Small Untranslated/classification , RNA, Small Untranslated/genetics , Transcriptome , Artificial Intelligence , Computational Biology , Databases, Nucleic Acid , Gene Expression Profiling/statistics & numerical data , High-Throughput Nucleotide Sequencing/statistics & numerical data , Nucleic Acid Conformation , RNA, Small Nucleolar/chemistry , RNA, Small Nucleolar/classification , RNA, Small Nucleolar/genetics , RNA, Small Untranslated/chemistry
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