Evidence map›Paper›PMID 32636489›Full record

ReviewNature reviews. Cancer2020

In vivo functional screening for systems-level integrative cancer genomics.

Julia Weber, Christian J Braun, Dieter Saur, Roland Rad

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 5% 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

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 62 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. MultiplexedbioRxiv : the preprint server for biology · 2025
    Article
  8. Article
  9. Review
  10. Article
  11. Unlocking Glioblastoma Vulnerabilities with CRISPR-Based Genetic Screening.International journal of molecular sciences · 2024
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
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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

4 authors at 2 institutions in 1 country.

Julia WeberInstitute of Molecular Oncology and Functional Genomics, TUM School of Medicine, Technische Universität München, Munich, Germany.ORCID http://orcid.org/0000-0002-0183-8994
Christian J BraunInstitute of Molecular Oncology and Functional Genomics, TUM School of Medicine, Technische Universität München, Munich, Germany.
Dieter SaurCenter for Translational Cancer Research (TranslaTUM), TUM School of Medicine, Technische Universität München, Munich, Germany.
Roland RadInstitute of Molecular Oncology and Functional Genomics, TUM School of Medicine, Technische Universität München, Munich, Germany. Roland.Rad@tum.de.
German Cancer Research Center · DETechnical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the genetic portraits of all major human malignancies now available, we next face the challenge of characterizing the function of mutated genes, their downstream targets, interactions and molecular networks. Moreover, poorly understood at the functional level are also non-mutated but dysregulated genomes, epigenomes or transcriptomes. Breakthroughs in manipulative mouse genetics offer new opportunities to probe the interplay of molecules, cells and systemic signals underlying disease pathogenesis in higher organisms. Herein, we review functional screening strategies in mice using genetic perturbation and chemical mutagenesis. We outline the spectrum of genetic tools that exist, such as transposons, CRISPR and RNAi and describe discoveries emerging from their use. Genome-wide or targeted screens are being used to uncover genomic and regulatory landscapes in oncogenesis, metastasis or drug resistance. Versatile screening systems support experimentation in diverse genetic and spatio-temporal settings to integrate molecular, cellular or environmental context-dependencies. We also review the combination of in vivo screening and barcoding strategies to study genetic interactions and quantitative cancer dynamics during tumour evolution. These scalable functional genomics approaches are transforming our ability to interrogate complex biological systems.

Indexed as

Genetic Association StudiesGenetic Predisposition to DiseaseGenomicsAnimalsCell Transformation, NeoplasticCell Transformation, ViralCRISPR-Cas SystemsDNA Transposable ElementsEarly Detection of CancerGenetic TestingHumansMutagenesisNeoplasmsTranslational Research, BiomedicalDNA Transposable Elements

Identifiers

PMID32636489
OpenAlexW3038325504

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.