Evidence map›Paper›PMID 18053125›Full record

ArticleBMC genomics2007

Restriction landmark genomic scanning (RLGS) spot identification by second generation virtual RLGS in multiple genomes with multiple enzyme combinations.

Dominic J Smiraglia, Ramakrishnan Kazhiyur-Mannar, Christopher C Oakes, Yue-Zhong Wu, Ping Liang, Tahmina Ansari, Jian Su, Laura J Rush, Laura T Smith, Li Yu and 17 more

Abstract read
In one paragraph

Article in BMC genomics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Review
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  7. Review
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  12. DNA methylation of cancer genome.Birth defects research. Part C, Embryo today : reviews · 2009
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

27 authors.

Dominic J SmiragliaDepartment of Cancer Genetics, and Comprehensive Cancer Center, Roswell Park Cancer Institute, Buffalo, NY, USA. dominic.smiraglia@roswellpark.org
Ramakrishnan Kazhiyur-Mannar
Christopher C Oakes
Yue-Zhong Wu
Ping Liang
Tahmina Ansari
Jian Su
Laura J Rush
Laura T Smith
Li Yu
Chunhui Liu
Zunyan Dai
Shih-Shih Chen
Shu-Huei Wang
Joseph Costello
Ilya Ioshikhes
David W Dawson
Jason S Hong
Michael A Teitell
Angela Szafranek
Marta Camoriano
Fei Song
Rosemary Elliott
William Held
Jacquetta M Trasler
Christoph Plass
Rephael Wenger

Funding

Two-Spirit Films in Indigenous Cancer HealthP30CA016056 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI MARK G FRATTINI · 1985 to 2026
$116.6M
GENOMIC SCANNING IN ORAL CANCERR01DE013123 · NIDCR · OHIO STATE UNIVERSITY · PI PLASS, CHRISTOPH · 2000 to 2011
$2.3M
Aberrant DNA Methylation in Acute Myeloid LeukemiaK08CA089317 · NCI · OHIO STATE UNIVERSITY · PI RUSH, LAURA J · 2002 to 2006
$576k
NCI NIH HHS CA089317NCI NIH HHS CA 16056NCI NIH HHS K08 CA089317NCI NIH HHS P30 CA016056NIDCR NIH HHS 3RE01DE13123-02S1NIDCR NIH HHS DE13123NIDCR NIH HHS R01 DE013123
6 · The paper itself

Abstract

backgroundRestriction landmark genomic scanning (RLGS) is one of the most successfully applied methods for the identification of aberrant CpG island hypermethylation in cancer, as well as the identification of tissue specific methylation of CpG islands. However, a limitation to the utility of this method has been the ability to assign specific genomic sequences to RLGS spots, a process commonly referred to as "RLGS spot cloning."

resultsWe report the development of a virtual RLGS method (vRLGS) that allows for RLGS spot identification in any sequenced genome and with any enzyme combination. We report significant improvements in predicting DNA fragment migration patterns by incorporating sequence information into the migration models, and demonstrate a median Euclidian distance between actual and predicted spot migration of 0.18 centimeters for the most complex human RLGS pattern. We report the confirmed identification of 795 human and 530 mouse RLGS spots for the most commonly used enzyme combinations. We also developed a method to filter the virtual spots to reduce the number of extra spots seen on a virtual profile for both the mouse and human genomes. We demonstrate use of this filter to simplify spot cloning and to assist in the identification of spots exhibiting tissue-specific methylation.

conclusionThe new vRLGS system reported here is highly robust for the identification of novel RLGS spots. The migration models developed are not specific to the genome being studied or the enzyme combination being used, making this tool broadly applicable. The identification of hundreds of mouse and human RLGS spot loci confirms the strong bias of RLGS studies to focus on CpG islands and provides a valuable resource to rapidly study their methylation.

Indexed as

AnimalsComputational BiologyCpG IslandsDNA MethylationDNA Restriction EnzymesElectrophoresis, Gel, Two-DimensionalGenomeGenome, HumanGenomicsHumansIntestinal MucosaLiverMiceOrgan SpecificityRestriction MappingDNA Restriction Enzymes

Identifiers

PMID18053125
PMCPMC2235865

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Registered trials

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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.