Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 346

The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.

Universal DNA microarray method for multiplex detection of low abundance point mutations

Open access
Gerry, Norman P, Witowski, Nancy E, Day, Joseph, Hammer, Robert P, Barany, George, Barany, Francis·1999·Journal of Molecular Biology

Abstract

Cancers arise from the accumulation of multiple mutations in genes regulating cellular growth and differentiation. Identification of such mutations in numerous genes represents a significant challenge in genetic analysis, particularly when the majority of DNA in a tumor sample is from wild-type stroma. To overcome these difficulties, we have developed a new type of DNA microchip that combines polymerase chain reaction/ligase detection reaction (PCR/LDR) with "zip-code" hybridization. Suitably designed allele-specific LDR primers become covalently ligated to adjacent fluorescently labeled primers if and only if a mutation is present. The allele-specific LDR primers contain on their 5'-ends "zip-code complements" that are used to direct LDR products to specific zip-code addresses attached covalently to a three-dimensional gel-matrix array. Since zip-codes have no homology to either the target sequence or to other sequences in the genome, false signals due to mismatch hybridizations are not detected. The zip-code sequences remain constant and their complements can be appended to any set of LDR primers, making our zip-code arrays universal. Using the K- ras gene as a model system, multiplex PCR/LDR followed by hybridization to prototype 3x3 zip-code arrays correctly identified all mutations in tumor and cell line DNA. Mutations present at less than one per cent of the wild-type DNA level could be distinguished. Universal arrays may be used to rapidly detect low abundance mutations in any gene of interest.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1006/jmbi.1999.3063

Cites

43 of 43 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 43 references

Cited by

See all 346

Metadata

Authors
Gerry, N. P., Witowski, N. E., Day, J., Hammer, R. P., Barany, G., & Barany, F.
Venue
Journal of Molecular Biology
Publisher
Elsevier BV
Published
1999-09
Volume
292
Issue
2
Pages
251-262
ISSN
0022-2836 (ISSN-L)
OpenAlex
W2128989044
Cited by
346
References
43
FWCI
7.83
Type
journal article
Language
en
Open access
hybrid

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Universal DNA microarray method for multiplex detection of low abundance point mutations. https://app.cochat.ai/papers/10.1006/jmbi.1999.3063
The paper
Gerry, N. P., Witowski, N. E., Day, J., Hammer, R. P., Barany, G., & Barany, F. (1999). Universal DNA microarray method for multiplex detection of low abundance point mutations. Journal of Molecular Biology. https://doi.org/10.1006/jmbi.1999.3063

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.