Evidence map›Paper›PMID 19002841›Full record

ArticleCytotechnology2008

Identification and verification of rodent cell lines by polymerase chain reaction.

Klaus G Steube, Anne-Leena Koelz, Hans G Drexler

Open access · bronzeAbstract read
In one paragraph

Article in Cytotechnology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Study Models forMicroorganisms · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Mouse cell line authentication.Cytotechnology · 2014
    Article
  10. Article
  11. Article
  12. Article
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

3 authors at 2 institutions in 2 countries.

Klaus G SteubeDepartment of Human and Animal Cell Cultures, DSMZ-German Collection of Microorganisms and Cell Cultures, Inhoffenstrasse 7B, 38124, Braunschweig, Germany, kst@dsmz.de.
Anne-Leena Koelz
Hans G Drexler
Leibniz Institute DSMZ – German Collection of Microorganisms and Cell Cultures · DEDSM (Netherlands) · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell lines represent valuable tools for basic research and diagnostic applications as well as for the production of biological products such as antibodies or vaccines. For all cell culturists, a well-identified origin of their cell lines as well as the periodic re-examination of their identity should be a basic requirement. We established a simple polymerase chain reaction (PCR) to verify or identify rodent and human cell lines. Since mouse-, rat-, Chinese hamster- and Syrian hamster-derived cell lines represent the most frequently used rodent cell lines, our investigations were focused on these species. Our assay used oligonucleotide primers annealing to sequences within the beta-actin and the beta-globin gene and to repetitive DNA. Primers were designed mostly from intron sequences of the genes aiming to amplify only one specific DNA segment and thus enabling to exclude easily false DNA. More than 130 cells lines originating from the five species were analyzed in that study. Our PCR revealed specific profiles for all species investigated. No further methods like DNA sequencing or fragment length polymorphism analysis were needed to differentiate these species. The results introduce our PCR-assay as a rapid, specific and routinely feasible tool in order to identify or distinguish rodent cell lines from each other and from human cell lines.

Identifiers

PMID19002841
PMCPMC2151966
OpenAlexW1997394603

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.