Evidence map›Paper›PMID 25714623›Full record

ArticlePloS one2015

Human biosample authentication using the high-throughput, cost-effective SNPtrace(TM) system.

May M Y Liang-Chu, Mamie Yu, Peter M Haverty, Julie Koeman, Janet Ziegle, Marie Lee, Richard Bourgon, Richard M Neve

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
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

31 citing papers in PubMed.

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  11. Targeted Genotyping in Clinical Pharmacogenomics: What Is Missing?The Journal of molecular diagnostics : JMD · 2022
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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

8 authors.

May M Y Liang-ChuDepartment of Discovery Oncology, Genentech, Inc., 1 DNA Way, South San Francisco, CA 94080, United States of America.
Mamie YuDepartment of Discovery Oncology, Genentech, Inc., 1 DNA Way, South San Francisco, CA 94080, United States of America.
Peter M HavertyDepartment of Bioinformatics and Computational Biology, Genentech, Inc., 1 DNA Way, South San Francisco, CA 94080, United States of America.
Julie KoemanVan Andel Research Institute, Cytogenetics, Grand Rapids, MI 49503, United States of America.
Janet ZiegleFluidigm Corporation, 7000 Shoreline Court, Suite 100, South San Francisco, CA 94080, United States of America.
Marie LeeFluidigm Corporation, 7000 Shoreline Court, Suite 100, South San Francisco, CA 94080, United States of America.
Richard BourgonDepartment of Bioinformatics and Computational Biology, Genentech, Inc., 1 DNA Way, South San Francisco, CA 94080, United States of America.
Richard M NeveDepartment of Discovery Oncology, Genentech, Inc., 1 DNA Way, South San Francisco, CA 94080, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell lines are the foundation for much of the fundamental research into the mechanisms underlying normal biologic processes and disease mechanisms. It is estimated that 15%-35% of human cell lines are misidentified or contaminated, resulting in a huge waste of resources and publication of false or misleading data. Here we evaluate a panel of 96 single-nucleotide polymorphism (SNP) assays utilizing Fluidigm microfluidics technology for authentication and sex determination of human cell lines. The SNPtrace Panel was tested on 907 human cell lines. Pairwise comparison of these data show the SNPtrace Panel discriminated among identical, related and unrelated pairs of samples with a high degree of confidence, equivalent to short tandem repeat (STR) profiling. We also compared annotated sex calls with those determined by the SNPtrace Panel, STR and Illumina SNP arrays, revealing a high number of male samples are identified as female due to loss of the Y chromosome. Finally we assessed the sensitivity of the SNPtrace Panel to detect intra-human cross-contamination, resulting in detection of as little as 2% contaminating cell population. In conclusion, this study has generated a database of SNP fingerprints for 907 cell lines used in biomedical research and provides a reliable, fast, and economic alternative to STR profiling which can be applied to any human cell line or tissue sample.

Indexed as

Cell LinePolymorphism, Single NucleotideBiological Specimen BanksDNA Barcoding, TaxonomicFemaleGenotypeHumansIn Situ Hybridization, FluorescenceMaleMicrosatellite RepeatsSex Determination AnalysisSpectral Karyotyping

Identifiers

PMID25714623
PMCPMC4340925

What OpenQuestion holds

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LicenceCC BY
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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.