ArticleNucleic acids research2004
Whole-genome expression profiling through fragment display and combinatorial gene identification.
Article in Nucleic acids research, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Evaluation of the Suitability of RNAscope as a Technique to Measure Gene Expression in Clinical Diagnostics: A Systematic Review.Molecular diagnosis & therapy · 2022Pooled it
- Transcriptomic Profiling of Reproductive Age Marmoset Monkey Ovaries.Reproductive sciences (Thousand Oaks, Calif.) · 2024Article
- Expression profiling of TaARGOS homoeologous drought responsive genes in bread wheat.Scientific reports · 2022Article
- Bioinformatics and System Biological Approaches for the Identification of Genetic Risk Factors in the Progression of Cardiovascular Disease.Cardiovascular therapeutics · 2022Article
- Components of variance in transcriptomics based on electrophoretic separation of cDNA fragments (cDNA-AFLP).Electrophoresis · 2009Article
- Improved coverage of cDNA-AFLP by sequential digestion of immobilized cDNA.BMC genomics · 2008Article
- GOGOT: a method for the identification of differentially expressed fragments from cDNA-AFLP data.Algorithms for molecular biology : AMB · 2007Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is a growing demand for highly parallel gene expression analysis with whole genome coverage, high sensitivity and high accuracy. Open systems such as differential display are capable of analyzing most of the expressed genome but are not quantitative and generally require manual identification of differentially expressed genes by sequencing. Closed systems such as microarrays use gene-specific probes and are, therefore, limited to studying specific genes in well-characterized species. Here, we describe Tangerine, a PCR-based system that combines the scope and generality of open systems with a robust and immediate identification algorithm using publicly available sequence information. By combinatorial analysis of three independent and complete DNA indexing profiles, each displaying the complete set of expressed transcripts on capillary electrophoresis, the method allows transcripts to be simultaneously quantified and identified. The method is sensitive, accurate and reproducible, and is amenable to high-throughput automated operation.
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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.