Evidence map›Paper›PMID 28402863›Full record

ArticleCell reports2017

Biotagging of Specific Cell Populations in Zebrafish Reveals Gene Regulatory Logic Encoded in the Nuclear Transcriptome.

Le A Trinh, Vanessa Chong-Morrison, Daria Gavriouchkina, Tatiana Hochgreb-Hägele, Upeka Senanayake, Scott E Fraser, Tatjana Sauka-Spengler

Abstract read
In one paragraph

Article in Cell reports, 2017. 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. A dual ribosomal system in the zebrafish soma and germline.bioRxiv : the preprint server for biology · 2024
    Article
  4. Article
  5. eLife · 2023
    Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. The Cranial Neural Crest in a Multiomics Era.Frontiers in physiology · 2021
    Article
  13. Tissue-SpecificSTAR protocols · 2020
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  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

7 authors.

Le A TrinhMolecular and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA.
Vanessa Chong-MorrisonRadcliffe Department of Medicine, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford OX3 9DS, UK.
Daria GavriouchkinaRadcliffe Department of Medicine, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford OX3 9DS, UK.
Tatiana Hochgreb-HägeleRadcliffe Department of Medicine, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford OX3 9DS, UK; Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
Upeka SenanayakeRadcliffe Department of Medicine, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford OX3 9DS, UK.
Scott E FraserMolecular and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA.
Tatjana Sauka-SpenglerRadcliffe Department of Medicine, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford OX3 9DS, UK. Electronic address: tatjana.sauka-spengler@imm.ox.ac.uk.

Funding

Medical Research Council G0902418
6 · The paper itself

Abstract

Interrogation of gene regulatory circuits in complex organisms requires precise tools for the selection of individual cell types and robust methods for biochemical profiling of target proteins. We have developed a versatile, tissue-specific binary in vivo biotinylation system in zebrafish termed biotagging that uses genetically encoded components to biotinylate target proteins, enabling in-depth genome-wide analyses of their molecular interactions. Using tissue-specific drivers and cell-compartment-specific effector lines, we demonstrate the specificity of the biotagging toolkit at the biochemical, cellular, and transcriptional levels. We use biotagging to characterize the in vivo transcriptional landscape of migratory neural crest and myocardial cells in different cellular compartments (ribosomes and nucleus). These analyses reveal a comprehensive network of coding and non-coding RNAs and cis-regulatory modules, demonstrating that tissue-specific identity is embedded in the nuclear transcriptomes. By eliminating background inherent to complex embryonic environments, biotagging allows analyses of molecular interactions at high resolution.

Indexed as

AnimalsCell CompartmentationCell LineageConserved SequenceGene Expression Regulation, DevelopmentalGene Regulatory NetworksNeural CrestOrgan SpecificityTranscription FactorsTranscriptomeZebrafishTranscription Factorsbi-directional transcriptioncis-regulationenhancersin vivo biotinylationmyocardiumneural crestnuclear transcriptome

Identifiers

PMID28402863
PMCPMC5400779

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.