RNA expression profiling at the single molecule level

  • Jan Hesse
  • , Jaroslaw Jacak
  • , M. Kasper
  • , G. Regl
  • , T. Eichberger
  • , M. Winklmayr
  • , F. Aberger
  • , Max Sonnleitner
  • , Robert Schlapak
  • , Stefan Howorka
  • , Leila Muresan
  • , A. M. Frischauf
  • , Gerhard Schütz

Research output: Contribution to journalArticlepeer-review

Abstract

We developed a microarray platform for PCR amplification-independent expression profiling of minute samples. A novel scanning system combined with specialized biochips enables detection down to individual fluorescent oligonucleotide molecules specifically hybridized to their complementary sequence over the entire biochip surface of cm2 size. A detection limit of 1.3 fM target oligonucleotide concentration—corresponding to only 39,000 molecules in the sample solution—and a dynamic range of 4.7 orders of magnitude have been achieved. The applicability of the system to PCR amplification-independent gene-expression profiling of minute samples was demonstrated by complex hybridization of cDNA derived from the equivalent of only 104 cells, which matches results obtained in ensemble studies on large samples. By counting each hybridized molecule on the microarray, the method is insusceptible to gene-specific variations of the labeling, thereby representing a principle advance to conventional ensemble-based microarray analysis.
Original languageEnglish
Pages (from-to)1041-1045
Number of pages5
JournalGenome Research
Volume16
Issue number8
DOIs
Publication statusPublished - Aug 2006

Fields of science

  • 103 Physics, Astronomy
  • 104014 Surface chemistry
  • 104015 Organic chemistry
  • 106002 Biochemistry
  • 106006 Biophysics
  • 106013 Genetics
  • 106023 Molecular biology
  • 206001 Biomedical engineering
  • 206002 Electro-medical engineering
  • 206003 Medical physics
  • 210006 Nanotechnology
  • 301902 Immunology
  • 304003 Genetic engineering
  • 102003 Image processing
  • 102023 Supercomputing
  • 102001 Artificial intelligence
  • 101014 Numerical mathematics
  • 101028 Mathematical modelling
  • 102009 Computer simulation
  • 202027 Mechatronics
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  • 101020 Technical mathematics
  • 101027 Dynamical systems
  • 101004 Biomathematics
  • 102035 Data science
  • 101013 Mathematical logic
  • 101 Mathematics
  • 102019 Machine learning

JKU Focus areas

  • Sustainable Development: Responsible Technologies and Management
  • Digital Transformation

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