Evidence map›Paper›PMID 12788976›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2003

End-sequence profiling: sequence-based analysis of aberrant genomes.

Stanislav Volik, Shaying Zhao, Koei Chin, John H Brebner, David R Herndon, Quanzhou Tao, David Kowbel, Guiqing Huang, Anna Lapuk, Wen-Lin Kuo and 4 more

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed
10.4field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

79 citing papers in PubMed, 118 citations in OpenAlex.

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19 more citing papers are in PubMed but not listed here.

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

14 authors at 1 institution in 1 country.

Stanislav VolikCancer Research Institute and Department of Laboratory Medicine, University of California Comprehensive Cancer Center, 2340 Sutter Street, San Francisco, CA 94115, USA.
Shaying Zhao
Koei Chin
John H Brebner
David R Herndon
Quanzhou Tao
David Kowbel
Guiqing Huang
Anna Lapuk
Wen-Lin Kuo
Gregg Magrane
Pieter De Jong
Joe W Gray
Colin Collins
Cancer Research Institute · US

Funding

Tissue and Outcomes CoreP50CA058207 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRAY, JOE W. · 1992 to 2012
$32.7M
NCI NIH HHS CA58207NCI NIH HHS P50 CA058207
6 · The paper itself

Abstract

Genome rearrangements are important in evolution, cancer, and other diseases. Precise mapping of the rearrangements is essential for identification of the involved genes, and many techniques have been developed for this purpose. We show here that end-sequence profiling (ESP) is particularly well suited to this purpose. ESP is accomplished by constructing a bacterial artificial chromosome (BAC) library from a test genome, measuring BAC end sequences, and mapping end-sequence pairs onto the normal genome sequence. Plots of BAC end-sequences density identify copy number abnormalities at high resolution. BACs spanning structural aberrations have end pairs that map abnormally far apart on the normal genome sequence. These pairs can then be sequenced to determine the involved genes and breakpoint sequences. ESP analysis of the breast cancer cell line MCF-7 demonstrated its utility for analysis of complex genomes. End sequencing of approximately 8,000 clones (0.37-fold haploid genome clonal coverage) produced a comprehensive genome copy number map of the MCF-7 genome at better than 300-kb resolution and identified 381 genome breakpoints, a subset of which was verified by fluorescence in situ hybridization mapping and sequencing.

Indexed as

Genetic TechniquesGenomeSequence Analysis, DNAAnimalsBase SequenceChromosomes, Artificial, BacterialGene LibraryHumansIn Situ Hybridization, FluorescenceMetaphaseMiceModels, GeneticMolecular Sequence DataNucleic Acid HybridizationSequence Tagged SitesSoftware

Identifiers

PMID12788976
PMCPMC164650
OpenAlexW4230366363

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.