Evidence map›Paper›PMID 37712227›Full record

ArticleDisease models & mechanisms2023

Short tandem repeat profiling via next-generation sequencing for cell line authentication.

Yi-Hsien Chen, Jon P Connelly, Colin Florian, Xiaoxia Cui, Shondra M Pruett-Miller

Open access · goldAbstract read
In one paragraph

Article in Disease models & mechanisms, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

9 citing papers in PubMed, 6 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

Yi-Hsien ChenGenome Engineering & Stem Cell Center (GESC@MGI), Department of Genetics, Washington University School of Medicine, St Louis, MO 63110, USA.ORCID 0000-0002-6371-4241
Jon P ConnellyCenter for Advanced Genome Engineering (CAGE), Department of Cell and Molecular Biology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.ORCID 0000-0002-5564-1775
Colin FlorianGenome Engineering & Stem Cell Center (GESC@MGI), Department of Genetics, Washington University School of Medicine, St Louis, MO 63110, USA.ORCID 0000-0001-6309-5199
Xiaoxia CuiGenome Engineering & Stem Cell Center (GESC@MGI), Department of Genetics, Washington University School of Medicine, St Louis, MO 63110, USA.ORCID 0000-0002-3073-7332
Shondra M Pruett-MillerCenter for Advanced Genome Engineering (CAGE), Department of Cell and Molecular Biology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.ORCID 0000-0002-3793-585X
Washington University in St. Louis · USSt. Jude Children's Research Hospital · US

Funding

Viral Vector Technology (VVTSR)P30CA021765 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI CHARLES ROBERTS · 1985 to 2026
$166.9M
Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI AIMEE S JAMES · 2001 to 2026
$128.0M
NCI NIH HHS P30 CA021765NCI NIH HHS P30 CA091842
6 · The paper itself

Abstract

Cell lines are indispensable models for modern biomedical research. A large part of their usefulness derives from the ability of a cell line to proliferate over multiple passages (often indefinitely), allowing multiple experiments to be performed. However, over time, cell line identity and purity can be compromised by human errors. Cross-contamination from other cell lines and complete misidentification are both possible. Routine cell line authentication is a necessary preventive measure and has become a requirement for many funding applications and publications. Short tandem repeat (STR) profiling is the most common method for cell line authentication and is usually carried out using standard polymerase chain reaction-capillary electrophoresis analysis (STR-CE). Here, we evaluated next-generation sequencing (NGS)-based STR profiling of human and mouse cell lines at 18 and 15 loci, respectively, in a high-throughput format. Using the Python program STRight, we demonstrate that NGS-based analysis (STR-NGS) is superior to standard STR-CE in terms of the ability to report the sequence context of repeat motifs, sensitivity and flexible multiplexing capability. STR-NGS is thus a valuable alternative for cell line authentication.

Indexed as

Cell Line AuthenticationAnimalsCell LineHigh-Throughput Nucleotide SequencingHumansMiceMicrosatellite RepeatsCapillary electrophoresisCell identityCell line authenticationNext-generation sequencingShort tandem repeatTargeted deep sequencing

Identifiers

PMID37712227
PMCPMC10618599
OpenAlexW4386757712

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.