Evidence map›Paper›PMID 20091220›Full record

ArticleCytotechnology2009

Improved reproducibility in preparing precision-cut liver tissue slices.

Martina Zimmermann, Johanna Lampe, Sebastian Lange, Irina Smirnow, Alfred Königsrainer, Claus Hann-von-Weyhern, Falko Fend, Michael Gregor, Michael Bitzer, Ulrich M Lauer

Open access · bronzeAbstract read
In one paragraph

Article in Cytotechnology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

22 citing papers in PubMed, 40 citations in OpenAlex.

  1. Ex vivo assay for organ-specific cancer cell invasion.Journal of biological engineering · 2026
    Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Best Practices and Progress in Precision-Cut Liver Slice Cultures.International journal of molecular sciences · 2021
    Review
  9. Article
  10. Article
  11. Article
  12. Future science OA · 2017
    Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

10 authors at 1 institution in 1 country.

Martina ZimmermannDepartment of Gastroenterology and Hepatology, University Hospital Tuebingen, Otfried-Mueller-Str. 10, 72076, Tuebingen, Germany.
Johanna Lampe
Sebastian Lange
Irina Smirnow
Alfred Königsrainer
Claus Hann-von-Weyhern
Falko Fend
Michael Gregor
Michael Bitzer
Ulrich M Lauer
University of Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precision-cut liver tissue slices (PCLS) have been used for decades to study pharmacological metabolism as well as toxicology and efficacy of novel substances on primary material under standardized conditions. Slicing of primary liver tissue has been done using different slicing machines. Since there has been great variability in the results, we sought to compare the reproducibility of tissue slices generated using the newly developed Leica VT1200 S vibrating blade microtome with Vibrocheck (LV) and the Krumdieck tissue slicer (KD) which has been the standard apparatus for this application so far. Liver samples from five different species (human, pig, cattle, rat, mouse) were cut and the reproducibility of slice thickness was analyzed by cross sectioning the PCLS. The quality of the sliced tissue was determined via measurement of the ATP content. As a result, we found an improved accuracy and reproducibility of rat, mouse and human tissue slices using the new Leica vibrating blade microtome.

Identifiers

PMID20091220
PMCPMC2825296
OpenAlexW2125817845

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.