Evidence map›Paper›PMID 26007658›Full record

ArticleNucleic acids research2015

A modular open platform for systematic functional studies under physiological conditions.

Christopher B Mulholland, Martha Smets, Elisabeth Schmidtmann, Susanne Leidescher, Yolanda Markaki, Mario Hofweber, Weihua Qin, Massimiliano Manzo, Elisabeth Kremmer, Katharina Thanisch and 5 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Precise Gene Knock-In Tools with Minimized Risk of DSBs: A Trend for Gene Manipulation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Probing protein ubiquitination in live cells.Nucleic acids research · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. METTL6 is a tRNA mScience advances · 2020
    Article
  16. Article
  17. The rRNA mGenes & development · 2020
    Article
  18. Article
  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

15 authors.

Christopher B MulhollandLudwig Maximilians University Munich, Department of Biology II and Center for Integrated Protein Science Munich (CIPSM), Großhaderner Strasse 2, 82152 Planegg-Martinsried, Germany.
Martha SmetsLudwig Maximilians University Munich, Department of Biology II and Center for Integrated Protein Science Munich (CIPSM), Großhaderner Strasse 2, 82152 Planegg-Martinsried, Germany.
Elisabeth SchmidtmannLudwig Maximilians University Munich, Department of Biology II and Center for Integrated Protein Science Munich (CIPSM), Großhaderner Strasse 2, 82152 Planegg-Martinsried, Germany.
Susanne LeidescherLudwig Maximilians University Munich, Department of Biology II and Center for Integrated Protein Science Munich (CIPSM), Großhaderner Strasse 2, 82152 Planegg-Martinsried, Germany.
Yolanda MarkakiLudwig Maximilians University Munich, Department of Biology II and Center for Integrated Protein Science Munich (CIPSM), Großhaderner Strasse 2, 82152 Planegg-Martinsried, Germany.
Mario HofweberLudwig Maximilians University Munich, Department of Biology II and Center for Integrated Protein Science Munich (CIPSM), Großhaderner Strasse 2, 82152 Planegg-Martinsried, Germany.
Weihua QinLudwig Maximilians University Munich, Department of Biology II and Center for Integrated Protein Science Munich (CIPSM), Großhaderner Strasse 2, 82152 Planegg-Martinsried, Germany.
Massimiliano ManzoLudwig Maximilians University Munich, Department of Biology II and Center for Integrated Protein Science Munich (CIPSM), Großhaderner Strasse 2, 82152 Planegg-Martinsried, Germany.
Elisabeth KremmerHelmholtz Center Munich, German Research Center for Environmental Health (GmbH), Institute of Molecular Immunology, Marchioninistrasse 25, 81377 Munich, Germany.
Katharina ThanischLudwig Maximilians University Munich, Department of Biology II and Center for Integrated Protein Science Munich (CIPSM), Großhaderner Strasse 2, 82152 Planegg-Martinsried, Germany.
Christina BauerLudwig Maximilians University Munich, Department of Biology II and Center for Integrated Protein Science Munich (CIPSM), Großhaderner Strasse 2, 82152 Planegg-Martinsried, Germany.
Pascaline RombautGene Center and Department of Biochemistry, Ludwig Maximilians University Munich, Feodor-Lynen-Strasse 25, 81377 Munich, Germany.
Franz HerzogGene Center and Department of Biochemistry, Ludwig Maximilians University Munich, Feodor-Lynen-Strasse 25, 81377 Munich, Germany.
Heinrich LeonhardtLudwig Maximilians University Munich, Department of Biology II and Center for Integrated Protein Science Munich (CIPSM), Großhaderner Strasse 2, 82152 Planegg-Martinsried, Germany h.leonhardt@lmu.de.
Sebastian BultmannLudwig Maximilians University Munich, Department of Biology II and Center for Integrated Protein Science Munich (CIPSM), Großhaderner Strasse 2, 82152 Planegg-Martinsried, Germany bultmann@bio.lmu.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Any profound comprehension of gene function requires detailed information about the subcellular localization, molecular interactions and spatio-temporal dynamics of gene products. We developed a multifunctional integrase (MIN) tag for rapid and versatile genome engineering that serves not only as a genetic entry site for the Bxb1 integrase but also as a novel epitope tag for standardized detection and precipitation. For the systematic study of epigenetic factors, including Dnmt1, Dnmt3a, Dnmt3b, Tet1, Tet2, Tet3 and Uhrf1, we generated MIN-tagged embryonic stem cell lines and created a toolbox of prefabricated modules that can be integrated via Bxb1-mediated recombination. We used these functional modules to study protein interactions and their spatio-temporal dynamics as well as gene expression and specific mutations during cellular differentiation and in response to external stimuli. Our genome engineering strategy provides a versatile open platform for efficient generation of multiple isogenic cell lines to study gene function under physiological conditions.

Indexed as

AnimalsAntibodies, MonoclonalCell DifferentiationCell EngineeringCell LineCRISPR-Cas SystemsEmbryonic Stem CellsGene ExpressionGenetic LociGenomicsIntegrasesMutationRatsRecombination, GeneticAntibodies, MonoclonalIntegrases

Identifiers

PMID26007658
PMCPMC4787826

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.