ArticleNature biotechnology2004
Expression profiling using a hexamer-based universal microarray.
Article in Nature biotechnology, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 34 citations in OpenAlex.
- Solid-phase cloning for high-throughput assembly of single and multiple DNA parts.Nucleic acids research · 2015Article
- Automated solid-phase subcloning based on beads brought into proximity by magnetic force.PloS one · 2012Article
- Genome-wide identification of transcription start sites, promoters and transcription factor binding sites in E. coli.PloS one · 2009Article
- Article
- Toward a universal microarray: prediction of gene expression through nearest-neighbor probe sequence identification.Nucleic acids research · 2007Article
- Article
- PathogenMIPer: a tool for the design of molecular inversion probes to detect multiple pathogens.BMC bioinformatics · 2006Article
- In control: systematic assessment of microarray performance.EMBO reports · 2004Review
- Down-regulation of Rad51 and decreased homologous recombination in hypoxic cancer cells.Molecular and cellular biology · 2004Article
- Whole-genome expression profiling through fragment display and combinatorial gene identification.Nucleic acids research · 2004Article
- Unshackling expression profiling arrays.Nature biotechnology · 2004Article
- Rational design of DNA sequences for nanotechnology, microarrays and molecular computers using Eulerian graphs.Nucleic acids research · 2004Article
Corrections and comments
- Commented on by
Authors and funding
38 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We describe a transcriptional analysis platform consisting of a universal micro-array system (UMAS) combined with an enzymatic manipulation step that is capable of generating expression profiles from any organism without requiring a priori species-specific knowledge of transcript sequences. The transcriptome is converted to cDNA and processed with restriction endonucleases to generate low-complexity pools (approximately 80-120) of equal length DNA fragments. The resulting material is amplified and detected with the UMAS system, comprising all possible 4,096 (4(6)) DNA hexamers. Ligation to the arrays yields thousands of 14-mer sequence tags. The compendium of signals from all pools in the array-of-universal arrays comprises a full-transcriptome expression profile. The technology was validated by analysis of the galactose response of Saccharomyces cerevisiae, and the resulting profiles showed excellent agreement with the literature and real-time PCR assays. The technology was also used to demonstrate expression profiling from a hybrid organism in a proof-of-concept experiment where a T-cell receptor gene was expressed in yeast.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.