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 language | English |
|---|---|
| Pages (from-to) | 1041-1045 |
| Number of pages | 5 |
| Journal | Genome Research |
| Volume | 16 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - 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
- 101024 Probability theory
- 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