Evidence map›Paper›PMID 31140975›Full record

ArticleeLife2019

In vivo study of gene expression with an enhanced dual-color fluorescent transcriptional timer.

Li He, Richard Binari, Jiuhong Huang, Julia Falo-Sanjuan, Norbert Perrimon

Abstract read
In one paragraph

Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing 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

59 citing papers in PubMed.

  1. A new conditional mouse model for Cre-mediated restoration ofbioRxiv : the preprint server for biology · 2026
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  5. Developmental patterning of adipose tissue bybioRxiv : the preprint server for biology · 2026
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  14. Spatial microenvironments tune immune response dynamics in thebioRxiv : the preprint server for biology · 2025
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Li HeDepartment of Genetics, Harvard Medical School, Boston, United States.ORCID 0000-0003-2155-606X
Richard BinariDepartment of Genetics, Harvard Medical School, Boston, United States.
Jiuhong HuangInternational Academy of Targeted Therapeutics and Innovation, Chongqing University of Arts and Sciences, Chongqing, China.
Julia Falo-SanjuanTufts University, Medford, United States.
Norbert PerrimonDepartment of Genetics, Harvard Medical School, Boston, United States.ORCID 0000-0001-7542-472X

Funding

Innovative reporters to characterize heterogeneous states among cellsR21DA039582 · NIDA · HARVARD MEDICAL SCHOOL · PI PERRIMON, NORBERT · 2014 to 2015
$466k
BACTERIAL DNA REPLICATION STUDIES BY FLOW CYTOMETRYR01GM039582 · NIGMS · NORWEGIAN RADIUM HOSPITAL · PI BOYE, ERIK · 1988 to 1990
–
NIDA NIH HHS R21 DA039582NIGMS NIH HHS R21DA039582
6 · The paper itself

Abstract

Fluorescent transcriptional reporters are widely used as signaling reporters and biomarkers to monitor pathway activities and determine cell type identities. However, a large amount of dynamic information is lost due to the long half-life of the fluorescent proteins. To better detect dynamics, fluorescent transcriptional reporters can be destabilized to shorten their half-lives. However, applications of this approach in vivo are limited due to significant reduction of signal intensities. To overcome this limitation, we enhanced translation of a destabilized fluorescent protein and demonstrate the advantages of this approach by characterizing spatio-temporal changes of transcriptional activities in

Indexed as

Gene Expression RegulationTranscription, GeneticAnimalsDrosophila melanogasterEmbryo, NonmammalianEnhancer Elements, GeneticFluorescenceGreen Fluorescent ProteinsIntestinesProtein BiosynthesisReceptors, NotchSTAT Transcription FactorsStem CellsGreen Fluorescent ProteinsReceptors, NotchSTAT Transcription Factorsdevelopmental biologyD. melanogasterfluorescent reportertranscriptional dynamicstranscriptional timer

Identifiers

PMID31140975
PMCPMC6660218

What OpenQuestion holds

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Registered trials

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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.