Evidence map›Paper›PMID 25232010›Full record

ArticleMolecular biology of the cell2014

Measuring fast gene dynamics in single cells with time-lapse luminescence microscopy.

Anyimilehidi Mazo-Vargas, Heungwon Park, Mert Aydin, Nicolas E Buchler

Abstract read
In one paragraph

Article in Molecular biology of the cell, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

13 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Tuning of Gene Expression inACS synthetic biology · 2022
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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 1 institution in 1 country.

Anyimilehidi Mazo-VargasInstitute for Genome Sciences and Policy, Duke University, Durham, NC 27710 Duke Center for Systems Biology, Duke University, Durham, NC 27710 Department of Biology, Duke University, Durham, NC 27710.
Heungwon ParkInstitute for Genome Sciences and Policy, Duke University, Durham, NC 27710 Duke Center for Systems Biology, Duke University, Durham, NC 27710 Department of Biology, Duke University, Durham, NC 27710 Department of Physics, Duke University, Durham, NC 27710.
Mert AydinInstitute for Genome Sciences and Policy, Duke University, Durham, NC 27710 Duke Center for Systems Biology, Duke University, Durham, NC 27710 Department of Biology, Duke University, Durham, NC 27710.
Nicolas E BuchlerInstitute for Genome Sciences and Policy, Duke University, Durham, NC 27710 Duke Center for Systems Biology, Duke University, Durham, NC 27710 Department of Biology, Duke University, Durham, NC 27710 Department of Physics, Duke University, Durham, NC 27710 nicolas.buchler@duke.edu.
Duke University · US

Funding

Rewiring the yeast brain: Redundancy and interference in genetic networksDP2OD008654 · OD · DUKE UNIVERSITY · PI BUCHLER, NICOLAS EMILE · 2011 to 2011
$2.4M
NIH HHS DP2 OD008654NIH HHS DP2 OD008654-01
6 · The paper itself

Abstract

Time-lapse fluorescence microscopy is an important tool for measuring in vivo gene dynamics in single cells. However, fluorescent proteins are limited by slow chromophore maturation times and the cellular autofluorescence or phototoxicity that arises from light excitation. An alternative is luciferase, an enzyme that emits photons and is active upon folding. The photon flux per luciferase is significantly lower than that for fluorescent proteins. Thus time-lapse luminescence microscopy has been successfully used to track gene dynamics only in larger organisms and for slower processes, for which more total photons can be collected in one exposure. Here we tested green, yellow, and red beetle luciferases and optimized substrate conditions for in vivo luminescence. By combining time-lapse luminescence microscopy with a microfluidic device, we tracked the dynamics of cell cycle genes in single yeast with subminute exposure times over many generations. Our method was faster and in cells with much smaller volumes than previous work. Fluorescence of an optimized reporter (Venus) lagged luminescence by 15-20 min, which is consistent with its known rate of chromophore maturation in yeast. Our work demonstrates that luciferases are better than fluorescent proteins at faithfully tracking the underlying gene expression.

Indexed as

Gene Expression Regulation, FungalAnimalsCell CycleCell Cycle ProteinsColeopteraFirefliesInsect ProteinsLuciferasesLuminescent MeasurementsMicrofluidic Analytical TechniquesMicroscopy, FluorescenceSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSingle-Cell AnalysisTime-Lapse ImagingCell Cycle ProteinsInsect ProteinsLuciferasesSaccharomyces cerevisiae Proteins

Identifiers

PMID25232010
PMCPMC4230627
OpenAlexW2164137250

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.