ArticleGenome research2001
Virtual genome scan: a tool for restriction landmark-based scanning of the human genome.
Article in Genome research, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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.
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Who cites it
14 citing papers in PubMed, 49 citations in OpenAlex.
- DNA methylation methods: Global DNA methylation and methylomic analyses.Methods (San Diego, Calif.) · 2021Review
- DNA fingerprinting techniques for the analysis of genetic and epigenetic alterations in colorectal cancer.Mutation research · 2010Review
- Epigenetic regulation of the expression of genes involved in steroid hormone biosynthesis and action.Steroids · 2010Review
- Tissue specific differentially methylated regions (TDMR): Changes in DNA methylation during development.Genomics · 2009Article
- Restriction landmark genomic scanning (RLGS) spot identification by second generation virtual RLGS in multiple genomes with multiple enzyme combinations.BMC genomics · 2007Article
- The role of Tbx2 and Tbx3 in mammary development and tumorigenesis.Journal of mammary gland biology and neoplasia · 2004Review
- Global methylation screening in the Arabidopsis thaliana and Mus musculus genome: applications of virtual image restriction landmark genomic scanning (Vi-RLGS).Nucleic acids research · 2003Article
- Amplification and overexpression of the L-MYC proto-oncogene in ovarian carcinomas.The American journal of pathology · 2003Article
- Genomic signature tags (GSTs): a system for profiling genomic DNA.Genome research · 2002Article
- The study of aberrant methylation in cancer via restriction landmark genomic scanning.Oncogene · 2002Review
- Techniques used in studies of epigenome dysregulation due to aberrant DNA methylation: an emphasis on fetal-based adult diseases.Reproductive toxicology (Elmsford, N.Y.)Review
- N-myc modulates expression of p73 in neuroblastoma.Neoplasia (New York, N.Y.)Article
- Mxi1-0, an alternatively transcribed Mxi1 isoform, is overexpressed in glioblastomas.Neoplasia (New York, N.Y.)Article
- Overexpressed genes/ESTs and characterization of distinct amplicons on 17q23 in breast cancer cells.Neoplasia (New York, N.Y.)Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 4 countries.
Funding
Abstract
There is substantial interest in implementing technologies that allow comparisons of whole genomes of individuals and of tissues and cell populations. Restriction landmark genome scanning (RLGS) is a highly resolving gel-based technique in which several thousand fragments in genomic digests are visualized simultaneously and quantitatively analyzed. The widespread use of RLGS has been hampered by difficulty in deriving sequence information for displayed fragments and a lack of whole-genome sequence-based framework for interpreting RLGS patterns. We have developed informatics tools for comparisons of sample derived RLGS patterns with patterns predicted from the human genome sequence and displayed as Virtual Genome Scans (VGS). The tools developed allow sequence prediction of fragments in RLGS patterns obtained with different restriction enzyme combinations. The utility of VGS is demonstrated by the identification of restriction fragment length polymorphisms, and of amplifications, deletions, and methylation changes in tumor-derived CpG islands and the characterization of an amplified region in a breast tumor that spanned <230 kb on 17q23.
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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.