Evidence map›Paper›PMID 28619826›Full record

ArticleDevelopment (Cambridge, England)2017

A toolkit for GFP-mediated tissue-specific protein degradation in

Shaohe Wang, Ngang Heok Tang, Pablo Lara-Gonzalez, Zhiling Zhao, Dhanya K Cheerambathur, Bram Prevo, Andrew D Chisholm, Arshad Desai, Karen Oegema

Open access · bronzeAbstract read
In one paragraph

Article in Development (Cambridge, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed
5.3field-weighted citation impact, top 3% 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

86 citing papers in PubMed, 139 citations in OpenAlex.

  1. Article
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  6. Review
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  9. WormTagDB: A Systematic Survey of Endogenously Tagged Proteins inbioRxiv : the preprint server for biology · 2025
    Article
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  18. microPublication biology · 2025
    Article
  19. Article
  20. Article

26 more citing papers are in PubMed but not listed here.

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

9 authors at 2 institutions in 2 countries.

Shaohe WangLudwig Institute for Cancer Research, Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093, USA.ORCID 0000-0001-9522-2359
Ngang Heok TangSection of Neurobiology, Division of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA.ORCID 0000-0002-0977-0816
Pablo Lara-GonzalezLudwig Institute for Cancer Research, Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093, USA.
Zhiling ZhaoLudwig Institute for Cancer Research, Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093, USA.
Dhanya K CheerambathurLudwig Institute for Cancer Research, Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093, USA.
Bram PrevoLudwig Institute for Cancer Research, Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093, USA.
Andrew D ChisholmSection of Neurobiology, Division of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA.
Arshad DesaiLudwig Institute for Cancer Research, Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093, USA.
Karen OegemaLudwig Institute for Cancer Research, Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093, USA koegema@ucsd.edu.ORCID 0000-0001-8515-7514
Ludwig Cancer Research · BEUniversity of California San Diego · US

Funding

Kinetochore Specification and FunctionR01GM074215 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DESAI, ARSHAD · 2005 to 2025
$8.2M
Analysis of Centrosome DynamicsR01GM074207 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI OEGEMA, KAREN F · 2006 to 2025
$6.6M
Cytoskeletal dynamics in axon regenerationR01NS093588 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHISHOLM, ANDREW D, JIN, YISHI · 2015 to 2023
$3.7M
NIGMS NIH HHS R01 GM074207NIGMS NIH HHS R01 GM074215NINDS NIH HHS R01 NS093588
6 · The paper itself

Abstract

Proteins that are essential for embryo production, cell division and early embryonic events are frequently reused later in embryogenesis, during organismal development or in the adult. Examining protein function across these different biological contexts requires tissue-specific perturbation. Here, we describe a method that uses expression of a fusion between a GFP-targeting nanobody and a SOCS-box containing ubiquitin ligase adaptor to target GFP-tagged proteins for degradation. When combined with endogenous locus GFP tagging by CRISPR-Cas9 or with rescue of a null mutant with a GFP fusion, this approach enables routine and efficient tissue-specific protein ablation. We show that this approach works in multiple tissues - the epidermis, intestine, body wall muscle, ciliated sensory neurons and touch receptor neurons - where it recapitulates expected loss-of-function mutant phenotypes. The transgene toolkit and the strain set described here will complement existing approaches to enable routine analysis of the tissue-specific roles of

Indexed as

AnimalsAnimals, Genetically ModifiedAxonsCaenorhabditis elegansCaenorhabditis elegans ProteinsCarrier ProteinsGenes, HelminthGenetic TechniquesGreen Fluorescent ProteinsMAP Kinase Kinase KinasesMutationProteolysisRecombinant Fusion ProteinsSingle-Domain AntibodiesTissue DistributionCaenorhabditis elegans ProteinsCarrier ProteinsDLK-1 protein, C elegansGreen Fluorescent ProteinsMAP Kinase Kinase KinasesRecombinant Fusion ProteinsSingle-Domain AntibodiesZIF-1 protein, C elegansC. elegansGFP nanobodyProtein degradationvhhGFP4ZIF-1

Identifiers

PMID28619826
PMCPMC5536931
OpenAlexW2625678278

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.