Evidence map›Paper›PMID 25662451›Full record

ArticleMethods in enzymology2015

High-throughput and quantitative approaches for measuring circadian rhythms in cyanobacteria using bioluminescence.

Ryan K Shultzaberger, Mark L Paddock, Takeo Katsuki, Ralph J Greenspan, Susan S Golden

Abstract read
In one paragraph

Article in Methods in enzymology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Single mutations in sasA enable a simpler ΔcikA gene network architecture with equivalent circadian properties.Proceedings of the National Academy of Sciences of the United States of America · 2014
    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

5 authors.

Ryan K ShultzabergerCenter for Circadian Biology, University of California, San Diego, La Jolla, California, USA; Kavli Institute for Brain and Mind, University of California, San Diego, California, USA.
Mark L PaddockCenter for Circadian Biology, University of California, San Diego, La Jolla, California, USA.
Takeo KatsukiKavli Institute for Brain and Mind, University of California, San Diego, California, USA.
Ralph J GreenspanCenter for Circadian Biology, University of California, San Diego, La Jolla, California, USA; Kavli Institute for Brain and Mind, University of California, San Diego, California, USA.
Susan S GoldenCenter for Circadian Biology, University of California, San Diego, La Jolla, California, USA. Electronic address: sgolden@ucsd.edu.

Funding

THE PATHWAY THAT SETS THE CYANOBACTERIAL CIRCADIAN CLOCKR01GM062419 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GOLDEN, SUSAN S · 2001 to 2015
$3.9M
The properties and evolvability of the cyanobacterial circadian genetic networkF32GM097977 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SHULTZABERGER, RYAN K · 2012 to 2013
$106k
NIGMS NIH HHS F32 GM097977NIGMS NIH HHS F32GM097977-01NIGMS NIH HHS R01 GM062419NIGMS NIH HHS R01GM062419
6 · The paper itself

Abstract

The temporal measurement of a bioluminescent reporter has proven to be one of the most powerful tools for characterizing circadian rhythms in the cyanobacterium Synechococcus elongatus. Primarily, two approaches have been used to automate this process: (1) detection of cell culture bioluminescence in 96-well plates by a photomultiplier tube-based plate-cycling luminometer (TopCount Microplate Scintillation and Luminescence Counter, Perkin Elmer) and (2) detection of individual colony bioluminescence by iteratively rotating a Petri dish under a cooled CCD camera using a computer-controlled turntable. Each approach has distinct advantages. The TopCount provides a more quantitative measurement of bioluminescence, enabling the direct comparison of clock output levels among strains. The computer-controlled turntable approach has a shorter set-up time and greater throughput, making it a more powerful phenotypic screening tool. While the latter approach is extremely useful, only a few labs have been able to build such an apparatus because of technical hurdles involved in coordinating and controlling both the camera and the turntable, and in processing the resulting images. This protocol provides instructions on how to construct, use, and process data from a computer-controlled turntable to measure the temporal changes in bioluminescence of individual cyanobacterial colonies. Furthermore, we describe how to prepare samples for use with the TopCount to minimize experimental noise and generate meaningful quantitative measurements of clock output levels for advanced analysis.

Indexed as

Circadian ClocksCulture TechniquesCyanobacteriaImage Processing, Computer-AssistedLuminescent MeasurementsKai proteinsLuciferaseSingle colony bioluminescenceSynechococcus elongatusTemporal automated measurement

Identifiers

PMID25662451
PMCPMC4771492

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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.