PubMed Health⌕ Search
Home/Archive/PubMed

PubMed · 11192761

[Biochips].

G Rajská
View original source ↗Export metadata ↓

Abstract

A new revolution technology that may become promising for research, diagnostics and therapy enters into biology and medicine. The basic idea of the biochip technology is to convert the chemistry of life into a static form programmed to monitor genes, proteins and relations between them. Biochip programmed by known sequences of DNA/RNA or proteins can recognized the real genes, mutations, levels of expression,... Biochip technology is highly effective method that allows monitoring of thousands of genes/alleles at a time in computerized automatic operations with minimal volumes of necessary reagents. Biochips promise an important shift in molecular biology, DNA diagnostics, pharmacology, research in carcinogenesis and other diseases and also the possibility of a better understanding of the world of biology in its globality.

Explore related subjects

Oligonucleotide Array Sequence AnalysisEnglish AbstractJournal Article

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

G Rajská. 2000-10-25. [Biochips].. https://pubmed.ncbi.nlm.nih.gov/11192761/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2001

Assessment of the relationship between signal intensities and transcript concentration for Affymetrix GeneChip arrays.

BACKGROUND: Affymetrix microarrays have become increasingly popular in gene-expression studies; however, limitations of the technology have not been well established for commercially available arrays. The hybridization signal has been shown to be proportional to actual transcript concentration for specialized arrays containing hundreds of distinct probe pairs per gene. Additionally, the technology has been described as capable of distinguishing concentration levels within a factor of 2, and of detecting transcript frequencies as low as 1 in 2,000,000. Using commercially available arrays, we assessed these representations directly through a series of 'spike-in' hybridizations involving four prokaryotic transcripts in the absence and presence of fixed eukaryotic background. The contribution of probe-target interactions to the mismatch signal was quantified under various analyte concentrations. RESULTS: A linear relationship between transcript abundance and signal was consistently observed between 1 pM and 10 pM transcripts. The signal ceased to be linear above the 10 pM level and commenced saturating around the 100 pM level. The 0.1 pM transcripts were virtually undetectable in the presence of eukaryotic background. Our measurements show that preponderance of the signal for mismatch probes derives from interactions with the target transcripts. CONCLUSIONS: Landmark studies outlining an observed linear relationship between signal and transcript concentration were carried out under highly specialized conditions and may not extend to commercially available arrays under routine operating conditions. Additionally, alternative metrics that are not based on the difference in the signal of members of a probe pair may further improve the quantitative utility of the Affymetrix GeneChip array.

Oligonucleotide Array Sequence Analysis↗