Evidence map›Paper›PMID 25005921›Full record

ReviewTrends in genetics : TIG2014

The embryo as a laboratory: quantifying transcription in Drosophila.

Thomas Gregor, Hernan G Garcia, Shawn C Little

Open access · greenAbstract readReview
In one paragraph

Review in Trends in genetics : TIG, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

36 citing papers in PubMed, 65 citations in OpenAlex.

  1. Deriving a genetic regulatory network from an optimization principle.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Waves in Embryonic Development.Annual review of biophysics · 2022
    Review
  11. Dynamics ofProceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Development (Cambridge, England) · 2021
    Article
  17. The many bits of positional information.Development (Cambridge, England) · 2021
    Review
  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

3 authors at 1 institution in 1 country.

Thomas GregorJoseph Henry Laboratories of Physics, Princeton University, Princeton, NJ 085444, USA; Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA. Electronic address: tg2@princeton.edu.
Hernan G GarciaJoseph Henry Laboratories of Physics, Princeton University, Princeton, NJ 085444, USA.
Shawn C LittleDepartment of Molecular Biology, Howard Hughes Medical Institute, Princeton University, Princeton, NJ 08544, USA.
Princeton University · US

Funding

Spatial Patterning During DevelopmentP50GM071508 · NIGMS · PRINCETON UNIVERSITY · PI POWELL, SUSAN M · 2004 to 2013
$30.6M
The Biophysical and Molecular Mechanisms of Reliability in DevelopmentR01GM097275 · NIGMS · PRINCETON UNIVERSITY · PI GREGOR, THOMAS · 2011 to 2024
$4.9M
NIGMS NIH HHS P50 GM071508NIGMS NIH HHS R01 GM097275
6 · The paper itself

Abstract

Transcriptional regulation of gene expression is fundamental to most cellular processes, including determination of cellular fates. Quantitative studies of transcription in cultured cells have led to significant advances in identifying mechanisms underlying transcriptional control. Recent progress allowed implementation of these same quantitative methods in multicellular organisms to ask how transcriptional regulation unfolds both in vivo and at the single molecule level in the context of embryonic development. Here we review some of these advances in early Drosophila development, which bring the embryo on par with its single celled counterparts. In particular, we discuss progress in methods to measure mRNA and protein distributions in fixed and living embryos, and we highlight some initial applications that lead to fundamental new insights about molecular transcription processes. We end with an outlook on how to further exploit the unique advantages that come with investigating transcriptional control in the multicellular context of development.

Indexed as

Gene Expression Regulation, DevelopmentalTranscription, GeneticAnimalsDrosophila melanogasterDrosophila ProteinsEmbryo, NonmammalianTranscription FactorsDrosophila ProteinsTranscription Factorsembryogenesisgene regulatory networkslive imagingquantitative biologysingle molecule FISH

Identifiers

PMID25005921
PMCPMC4129518
OpenAlexW2021312680

What OpenQuestion holds

Textmetadata
LicenceTDM
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.