Evidence map›Paper›PMID 27805047›Full record

ArticleScientific reports2016

An open-hardware platform for optogenetics and photobiology.

Karl P Gerhardt, Evan J Olson, Sebastian M Castillo-Hair, Lucas A Hartsough, Brian P Landry, Felix Ekness, Rayka Yokoo, Eric J Gomez, Prabha Ramakrishnan, Junghae Suh and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers.

0numbers the graph read from it
0cells of the map it votes in
81citing 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

81 citing papers in PubMed.

  1. Article
  2. Developing Optogenetic Approaches to Study CaCold Spring Harbor perspectives in biology · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. ModelingbioRxiv : the preprint server for biology · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Targeted Activation of Programmed Cell Death Pathways by Optogenetics.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  13. Article
  14. Optogenetic Control of B. subtilis Gene Expression Using the CcaSR System.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

21 more citing papers are in PubMed but not listed here.

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

12 authors.

Karl P GerhardtDepartment of Bioengineering, Rice University, Houston, Texas, USA.
Evan J OlsonGraduate Program in Applied Physics, Rice University, Houston, Texas, USA.
Sebastian M Castillo-HairDepartment of Bioengineering, Rice University, Houston, Texas, USA.
Lucas A HartsoughDepartment of Bioengineering, Rice University, Houston, Texas, USA.
Brian P LandryDepartment of Bioengineering, Rice University, Houston, Texas, USA.
Felix EknessPh.D. Program in Systems, Synthetic, and Physical Biology, Rice University, Houston, Texas, USA.
Rayka YokooDepartment of Molecular &Cell Biology, University of California, Berkeley, California, USA.
Eric J GomezDepartment of Bioengineering, Rice University, Houston, Texas, USA.
Prabha RamakrishnanDepartment of Bioengineering, Rice University, Houston, Texas, USA.
Junghae SuhDepartment of Bioengineering, Rice University, Houston, Texas, USA.
David F SavageDepartment of Molecular &Cell Biology, University of California, Berkeley, California, USA.
Jeffrey J TaborDepartment of Bioengineering, Rice University, Houston, Texas, USA.

Funding

Dynamical interrogation of the Bacillus subtilis sporulation network using an engineered light-switchable promoter systemR21AI115014 · NIAID · RICE UNIVERSITY · PI TABOR, JEFFREY JAY · 2015 to 2016
$416k
NIAID NIH HHS R21 AI115014
6 · The paper itself

Abstract

In optogenetics, researchers use light and genetically encoded photoreceptors to control biological processes with unmatched precision. However, outside of neuroscience, the impact of optogenetics has been limited by a lack of user-friendly, flexible, accessible hardware. Here, we engineer the Light Plate Apparatus (LPA), a device that can deliver two independent 310 to 1550 nm light signals to each well of a 24-well plate with intensity control over three orders of magnitude and millisecond resolution. Signals are programmed using an intuitive web tool named Iris. All components can be purchased for under $400 and the device can be assembled and calibrated by a non-expert in one day. We use the LPA to precisely control gene expression from blue, green, and red light responsive optogenetic tools in bacteria, yeast, and mammalian cells and simplify the entrainment of cyanobacterial circadian rhythm. The LPA dramatically reduces the entry barrier to optogenetics and photobiology experiments.

Indexed as

CalibrationCircadian RhythmEquipment DesignGene ExpressionGreen Fluorescent ProteinsHeLa CellsHumansLightModels, TheoreticalOptogeneticsPhotobiologySaccharomyces cerevisiaeSynechococcusTissue EngineeringTwo-Hybrid System TechniquesGreen Fluorescent Proteins

Identifiers

PMID27805047
PMCPMC5096413

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.