TAmiRNA is a biotech company specialized in the discovery and validation of microRNA biomarkers. Our mission is to provide validated diagnostic solutions to patients with serious aging-related illnesses. We aim to improve and prolong patient stability, health and quality of life with increasing age.
We are specialized in biomarker development using blood-circulating microRNAs – evolutionary conserved regulators of gene expression and cell/tissue function. We develop diagnostic algorithms (“signatures”) based on the logic combination of microRNA levels and clinical parameters.
TAmiRNA is actively involved in R&D projects in osteoporosis (OP), cardiovascular disease (CVD), liver disease and aging. OP and CVD are multifactorial illnesses. Using microRNA signatures we aim to decode the contributing disease factors on a personalized level, and to use this knowledge for better diagnosis.
Partner in the Eurostars project entitled: ”thrombomiR – a novel microRNA-based platelet function biomarker for personalized anti-thrombotic treatment”.
Die Österreichische Forschungsförderungsgesellschaft FFG
“Basisprogramm” financing of R&D cooperations of TAmiRNA.
Distribution Partner for Slovakia, Czech Republic, Scandinavia, Western Europe and North America
BOKU – VIBT
Partner for assay development and functional in vitro screenings of microRNAs that are associated with age-related disorders.
Partner in the application of pre-clinical models for toxicity and efficacy testing of novel drug candidates
Partner in development of basic research models to gain a better understanding microRNA function in age-related disorders such as Osteoporosis, Cardiovascular Disease or Neurodegenerative Disease
passion and motivation
At TAmiRNA we are looking for people passionate about science and who are willing to contribute to a society that is healthier and more stable. We continually seek for best-qualified candidates who want to become part in our collaborative and committed team.
Interested candidates should email a cover letter and resume to office(at)tamirna.com
Master’s thesis in computational biology:
„ Development of AI-based strategies to incorporate information on microRNA isoforms in microRNA biomarker discovery “
miRNAs are a class of non-coding RNAs that play a critical role in regulation of gene expression. These ~22 nucleotide long RNAs down-regulate mRNAs by complementary binding and inducing either degradation of the mRNA or blocking the translation machinery. But even at the short length of just 22 nt, miRNAs are processed during and after their transcription. This leads to small variations in the length and sequence of the mature miRNAs transcribed from one precursor. Those isoforms (“isomiRs“) have different affinities to their mRNA targets and it was shown that the composition and frequency of isomiRs correlates with various cellular states.
Next-generation sequencing allows a detailed analysis of miRNA sequence composition including isomiRs. Still, the majority of miRNA profiling studies only consider the total read counts of one miRNA and don’t take advantage of variability in isomiR composition.
• Telonis, A. G. et al. (2017). Knowledge about the presence or absence of miRNA isoforms (isomiRs) can successfully discriminate amongst 32 TCGA cancer types. Nucleic Acids Research, 45(6), 2973–2985. https://doi.org/10.1093/nar/gkx082
The scope of this thesis will be the development of a method for classification and profiling of isomiRs as biomarkers from NGS small RNAseq data. We will test multiple ways of using isomiR profiles as a tool in biomarker discovery.
We’re looking for a motivated student with education in bioinformatics, knowledge about next-generation sequencing data and basics in machine learning, R, python and Linux.
Please send your application including your resume to: firstname.lastname@example.org