ReviewHuman genetics2009
Application of serial analysis of gene expression to the study of human genetic disease.
Review in Human genetics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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
11 citing papers in PubMed, 24 citations in OpenAlex.
- Application of multi-omics techniques to androgenetic alopecia: Current status and perspectives.Computational and structural biotechnology journal · 2024Review
- Suppression Subtractive Hybridization Versus Next-Generation Sequencing in Plant Genetic Engineering: Challenges and Perspectives.Molecular biotechnology · 2015Review
- Copy number variation analysis by ligation-dependent PCR based on magnetic nanoparticles and chemiluminescence.Theranostics · 2015Article
- Gene expression profile in human trabecular meshwork from patients with primary open-angle glaucoma.Investigative ophthalmology & visual science · 2013Article
- The Transcriptomics to Proteomics of Hair Cell Regeneration: Looking for a Hair Cell in a Haystack.Microarrays (Basel, Switzerland) · 2013Article
- RNA-Seq and human complex diseases: recent accomplishments and future perspectives.European journal of human genetics : EJHG · 2013Review
- Risk of Parkinson disease onset in patients with diabetes: a 9-year population-based cohort study with age and sex stratifications.Diabetes care · 2012Article
- Single-cell and regional gene expression analysis in Alzheimer's disease.Cellular and molecular neurobiology · 2012Review
- Serial analysis of gene expression (SAGE) in normal human trabecular meshwork.Molecular vision · 2011Article
- Computational tools for the interactive exploration of proteomic and structural data.Molecular & cellular proteomics : MCP · 2010Article
- Uncovering the complexity of transcriptomes with RNA-Seq.Journal of biomedicine & biotechnology · 2010Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sequence tag analysis using serial analysis of gene expression (SAGE) is a powerful strategy for the quantitative analysis of gene expression in human genetic disorders. SAGE facilitates the measurement of mRNA transcripts and generates a non-biased gene expression profile of normal and pathological disease tissue. In addition, the SAGE technique has the capacity of detecting the expression of novel transcripts allowing for the identification of previously uncharacterised genes, thus providing a unique advantage over the traditional microarray-based approach for expression profiling. The technique has been successful in providing pathological gene expression profiles in a number of common genetic disorders including diabetes, cardiovascular disease, Parkinson disease and Down syndrome. When combined with next generation sequencing platforms, SAGE has the potential to become a more powerful and sensitive technique making it more amenable for diagnostic use. This review will therefore discuss the application of SAGE to several common genetic disorders and will further evaluate its potential use in diagnosing human genetic disease.
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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.