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Applications are invited for a Postdoctoral Researcher to work on quantitative real-time PCR (qPCR) expression profiling on circulating tumor cells at the Institute of Biotechnology of the Academy of Sciences of the Czech Republic in close collaboration with the institute of Medicine at the Charles University and the TATAA Biocenter in Sweden. The work is guided by Dr Mikael Kubista. The group pioneered the field of single cell expression profiling by qPCR in 2005 and contributed to the MIQE guidelines for qPCR work. Currently the group focuses on the enrichment and characterization of tumor cells collected from circulation of patients or animal models by means of high throughput qPCR. Work includes developing workflow with sample preparation, enrichment, pre-amplification, high throughput expression profiling, and data mining.
The successful applicant will have base at the Institute of Biotechnology at the Krc campus of the Academy of sciences in the Czech Republic. Part of the work may be performed at TATAA Biocenter in Sweden. The position is for 32 months.
Dead-line and further information
Submit your application (personal letter, cv and names of two references) to mikael.kubista@img.cas.cz or mikael.kubista@tataa.com. Applications are considered when they are received until the position is filled. Final date to apply is October 31. The applicant is expected to start November 1, 2012. The successful candidate has completed a PhD, DDS, MD (or equivalents) no earlier than March 28, 2008 and no later than October 31, 2012.

For further information see: www.img.cas.cz/ge/, www.tataa.com/

References
Benesova et al. Distinct Expression/Function of Potassium and Chloride Channels Contributes to the Diverse Volume Regulation in Cortical Astrocytes of GFAP/EGFP Mice. PLoS ONE, 2012, 7(1), 1-13.

Kubista et al.. High throughput single cell expression profiling: Taking a closer look on biological response. European Pharmaceutical Review. 2011 16(2):20-24.

Anders Stahlberg, Mikael Kubista and Pierre Aman. Single-cell gene-expression profiling and its potential diagnostic applications. Expert Rev. Mol. Diagn. 11(7), 735–740 (2011).

Kolostova et al. Gene expression profiling in circulation cells(CTCS) of breast carcinoma patients. Annals of Oncology 21:49-50 Suppl. 4,99P MAY.

Bustin et al. The MIQE Guidelines: Minimum Information for Publication of Quantitative Real-Time PCR Experiments. Clinical Chemistry 55,4 (2009).

Bengtsson et al.,. Gene expression profiling in single cells from the pancreatic islets of Langerhans reveals lognormal distribution of mRNA levels. Genome Research 15, 1388-1392 (2005).

See also:
Research Highlights in Nature Review Genetics 6, 1758 (2005).
Digital PCR hits its stride , Nature methods, vol.9 no.6, June 2012, p.541-544.
Drivers and Hurdles for qPCR, Genetic Engineering & Biotechnology News, May 1, 2012 (Vol.32, No.9)