Evidence map›Paper›PMID 27884151›Full record

ArticleBMC systems biology2016

Unearthing the transition rates between photoreceptor conformers.

Robert W Smith, Britta Helwig, Adrie H Westphal, Eran Pel, Maximilian Hörner, Hannes M Beyer, Sophia L Samodelov, Wilfried Weber, Matias D Zurbriggen, Jan Willem Borst and 1 more

Open access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
7.5field-weighted citation impact, top 4% 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

10 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Mathematical Modelling in Plant Synthetic Biology.Methods in molecular biology (Clifton, N.J.) · 2022
    Review
  4. Article
  5. Article
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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

11 authors at 4 institutions in 2 countries.

Robert W SmithLaboratory of Systems & Synthetic Biology, Wageningen UR, PO Box 8033, Wageningen, 6700EJ, The Netherlands.ORCID 0000-0001-9657-7477
Britta HelwigLaboratory of Systems & Synthetic Biology, Wageningen UR, PO Box 8033, Wageningen, 6700EJ, The Netherlands.
Adrie H WestphalLaboratory of Biochemistry, PO Box 8128, Wageningen, 6700ET, The Netherlands.
Eran PelLaboratory of Systems & Synthetic Biology, Wageningen UR, PO Box 8033, Wageningen, 6700EJ, The Netherlands.
Maximilian HörnerSpemann Graduate School of Biology and Medicine, University of Freiburg, Albertstrasse 19A, Freiburg, 79104, Germany.
Hannes M BeyerSpemann Graduate School of Biology and Medicine, University of Freiburg, Albertstrasse 19A, Freiburg, 79104, Germany.
Sophia L SamodelovSpemann Graduate School of Biology and Medicine, University of Freiburg, Albertstrasse 19A, Freiburg, 79104, Germany.
Wilfried WeberFaculty of Biology & BioSS, University of Freiburg, Schänzlestrasse 18, Freiburg, 79104, Germany.
Matias D ZurbriggenInstitute of Synthetic Biology, Heinrich Heine University, Universitätsstrasse 1, Düsseldorf, 40225, Germany.
Jan Willem BorstLaboratory of Biochemistry, PO Box 8128, Wageningen, 6700ET, The Netherlands.
Christian FleckLaboratory of Systems & Synthetic Biology, Wageningen UR, PO Box 8033, Wageningen, 6700EJ, The Netherlands. christian.fleck@wur.nl.
University of Freiburg · DEWageningen University & Research · NLHeinrich Heine University Düsseldorf · DELifeGlimmer (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObtaining accurate estimates of biological or enzymatic reaction rates is critical in understanding the design principles of a network and how biological processes can be experimentally manipulated on demand. In many cases experimental limitations mean that some enzymatic rates cannot be measured directly, requiring mathematical algorithms to estimate them. Here, we describe a methodology that calculates rates at which light-regulated proteins switch between conformational states. We focus our analysis on the phytochrome family of photoreceptors found in cyanobacteria, plants and many optogenetic tools. Phytochrome proteins change between active (P

resultsOur approach to calculating the photoconversion cross-sections comprises three steps: i) calculate the thermal reversion reaction rate(s); ii) develop search spaces from which all possible sets of photoconversion cross-sections exist, and; iii) estimate extinction coefficients that describe our absorption spectra. We confirm that the presented approach yields accurate results through the use of simulated test cases. Our test cases were further expanded to more realistic scenarios where noise, multiple thermal reactions and dimerisation are considered. Finally, we present the photoconversion cross-sections of an Arabidopsis phyB N-terminal fragment commonly used in optogenetic tools.

conclusionsThe calculation of photoconversion cross-sections has implications for both photoreceptor and synthetic biologists. Our method allows, for the first time, direct comparisons of photoconversion cross-sections and response speeds of photoreceptors in different cellular environments and synthetic tools. Due to the generality of our procedure, as shown by the application to multiple test cases, the photoconversion cross-sections and quantum yields of any photoreceptor might now, in principle, be obtained.

Indexed as

Computational BiologyArabidopsisKineticsLightModels, BiologicalPhytochrome BProtein MultimerizationProtein Structure, QuaternaryQuantum TheoryTemperaturePhytochrome BOptimisationOptogeneticsPhotoconversionPhytochromes

Identifiers

PMID27884151
PMCPMC5123409
OpenAlexW2549373782

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.