ArticleBMC genomics2006
Bioinformatic screening of human ESTs for differentially expressed genes in normal and tumor tissues.
Article in BMC genomics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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.
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Who cites it
8 citing papers in PubMed, 18 citations in OpenAlex.
- Article
- Generalized portrait of cancer metabolic pathways inferred from a list of genes overexpressed in cancer.Genetics research international · 2014Article
- Article
- Novel primate-specific genes, RMEL 1, 2 and 3, with highly restricted expression in melanoma, assessed by new data mining tool.PloS one · 2010Article
- Identification of HTA as a novel-specific marker for human hepatocellular carcinoma.Journal of cancer research and clinical oncology · 2010Article
- Gammaaminobutyric acid A receptor alpha 3 subunit is overexpressed in lung cancer.Pathology oncology research : POR · 2009Article
- In silico gene expression analysis--an overview.Molecular cancer · 2007Review
- In silico whole-genome screening for cancer-related single-nucleotide polymorphisms located in human mRNA untranslated regions.BMC genomics · 2007Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOwing to the explosion of information generated by human genomics, analysis of publicly available databases can help identify potential candidate genes relevant to the cancerous phenotype. The aim of this study was to scan for such genes by whole-genome in silico subtraction using Expressed Sequence Tag (EST) data.
methodsGenes differentially expressed in normal versus tumor tissues were identified using a computer-based differential display strategy. Bcl-xL, an anti-apoptotic member of the Bcl-2 family, was selected for confirmation by western blot analysis.
resultsOur genome-wide expression analysis identified a set of genes whose differential expression may be attributed to the genetic alterations associated with tumor formation and malignant growth. We propose complete lists of genes that may serve as targets for projects seeking novel candidates for cancer diagnosis and therapy. Our validation result showed increased protein levels of Bcl-xL in two different liver cancer specimens compared to normal liver. Notably, our EST-based data mining procedure indicated that most of the changes in gene expression observed in cancer cells corresponded to gene inactivation patterns. Chromosomes and chromosomal regions most frequently associated with aberrant expression changes in cancer libraries were also determined.
conclusionThrough the description of several candidates (including genes encoding extracellular matrix and ribosomal components, cytoskeletal proteins, apoptotic regulators, and novel tissue-specific biomarkers), our study illustrates the utility of in silico transcriptomics to identify tumor cell signatures, tumor-related genes and chromosomal regions frequently associated with aberrant expression in cancer.
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