Evidence map›Paper›PMID 26492136›Full record

ArticleNature protocols2015

Using the GEMM-ESC strategy to study gene function in mouse models.

Ivo J Huijbers, Jessica Del Bravo, Rahmen Bin Ali, Colin Pritchard, Tanya M Braumuller, Martine H van Miltenburg, Linda Henneman, Ewa M Michalak, Anton Berns, Jos Jonkers

Abstract read
PubMed Publisher
In one paragraph

Article in Nature protocols, 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
1.8field-weighted citation impact, top 15% 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

31 citing papers in PubMed, 48 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. INFRAFRONTIER: mouse model resources for modelling human diseases.Mammalian genome : official journal of the International Mammalian Genome Society · 2023
    Review
  11. The CRISPR/Cas System in Human Cancer.Advances in experimental medicine and biology · 2023
    Article
  12. Article
  13. CRISPR in cancer biology and therapy.Nature reviews. Cancer · 2022
    Review
  14. Novel Mouse Models for Cancer Immunology.Annual review of cancer biology · 2022
    Article
  15. Review
  16. Review
  17. Review
  18. Strategies to Study the Functions of Pseudogenes in Mouse Models of Cancer.Methods in molecular biology (Clifton, N.J.) · 2021
    Review
  19. AnCancer discovery · 2020
    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 3 institutions in 2 countries.

Ivo J HuijbersMouse Clinic for Cancer and Aging research (MCCA) Transgenic Core Facility, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Jessica Del BravoMouse Clinic for Cancer and Aging research (MCCA) Transgenic Core Facility, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Rahmen Bin AliMouse Clinic for Cancer and Aging research (MCCA) Transgenic Core Facility, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Colin PritchardMouse Clinic for Cancer and Aging research (MCCA) Transgenic Core Facility, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Tanya M BraumullerMouse Clinic for Cancer and Aging research (MCCA) Transgenic Core Facility, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Martine H van MiltenburgDivision of Molecular Pathology and Cancer Genomics Centre Netherlands, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Linda HennemanDivision of Molecular Pathology and Cancer Genomics Centre Netherlands, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Ewa M MichalakDivision of Molecular Pathology and Cancer Genomics Centre Netherlands, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Anton BernsDivision of Molecular Pathology and Cancer Genomics Centre Netherlands, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Jos JonkersDivision of Molecular Pathology and Cancer Genomics Centre Netherlands, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
The Netherlands Cancer Institute · NLCancer Genomics Centre · NLOncode Institute · NL

Funding

Worldwide Cancer Research 14-0288
6 · The paper itself

Abstract

Preclinical in vivo validation of target genes for therapeutic intervention requires careful selection and characterization of the most suitable animal model in order to assess the role of these genes in a particular process or disease. To this end, genetically engineered mouse models (GEMMs) are typically used. However, the appropriate engineering of these models is often cumbersome and time consuming. Recently, we and others described a modular approach for fast-track modification of existing GEMMs by re-derivation of embryonic stem cells (ESCs) that can be modified by recombinase-mediated transgene insertion and subsequently used for the production of chimeric mice. This 'GEMM-ESC strategy' allows for rapid in vivo analysis of gene function in the chimeras and their offspring. Moreover, this strategy is compatible with CRISPR/Cas9-mediated genome editing. This protocol describes when and how to use the GEMM-ESC strategy effectively, and it provides a detailed procedure for re-deriving and manipulating GEMM-ESCs under feeder- and serum-free conditions. This strategy produces transgenic mice with the desired complex genotype faster than traditional methods: generation of validated GEMM-ESC clones for controlled transgene integration takes 9-12 months, and recombinase-mediated transgene integration and chimeric cohort production takes 2-3 months. The protocol requires skills in embryology, stem cell biology and molecular biology, and it is ideally performed within, or in close collaboration with, a transgenic facility.

Indexed as

Gene ExpressionMice, TransgenicAnimalsClustered Regularly Interspaced Short Palindromic RepeatsEmbryonic Stem CellsGene TargetingProteinsRecombination, GeneticTransgenesProteins

Identifiers

PMID26492136
OpenAlexW2178799460

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.