Evidence map›Paper›PMID 34309594›Full record

ArticleJournal of visualized experiments : JoVE2021

Reliably Engineering and Controlling Stable Optogenetic Gene Circuits in Mammalian Cells.

Michael Tyler Guinn, Damiano Coraci, Lesia Guinn, Gábor Balázsi

Open access · greenAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2021. 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
0.1field-weighted citation impact, top 56% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 1 institution in 1 country.

Michael Tyler GuinnBiomedical Engineering Department, Stony Brook University; Laufer Center for Physical and Quantitative Biology, Stony Brook University; Stony Brook Medical Scientist Training Program; michael.guinn@stonybrookmedicine.edu.
Damiano Coraci *Laufer Center for Physical and Quantitative Biology, Stony Brook University.
Lesia Guinn *Laufer Center for Physical and Quantitative Biology, Stony Brook University.
Gábor BalázsiBiomedical Engineering Department, Stony Brook University; Laufer Center for Physical and Quantitative Biology, Stony Brook University; gabor.balazsi@stonybrook.edu.
Stony Brook University · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM008444 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI FROHMAN, MICHAEL A. · 1992 to 2024
$12.6M
Dynamics and evolution of synthetic and natural gene regulatory networksR35GM122561 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI BALAZSI, GABOR · 2017 to 2025
$4.2M
NIGMS NIH HHS R35 GM122561NIGMS NIH HHS T32 GM008444
6 · The paper itself

Abstract

Reliable gene expression control in mammalian cells requires tools with high fold change, low noise, and determined input-to-output transfer functions, regardless of the method used. Toward this goal, optogenetic gene expression systems have gained much attention over the past decade for spatiotemporal control of protein levels in mammalian cells. However, most existing circuits controlling light-induced gene expression vary in architecture, are expressed from plasmids, and utilize variable optogenetic equipment, creating a need to explore characterization and standardization of optogenetic components in stable cell lines. Here, the study provides an experimental pipeline of reliable gene circuit construction, integration, and characterization for controlling light-inducible gene expression in mammalian cells, using a negative feedback optogenetic circuit as a case example. The protocols also illustrate how standardizing optogenetic equipment and light regimes can reliably reveal gene circuit features such as gene expression noise and protein expression magnitude. Lastly, this paper may be of use for laboratories unfamiliar with optogenetics who wish to adopt such technology. The pipeline described here should apply for other optogenetic circuits in mammalian cells, allowing for more reliable, detailed characterization and control of gene expression at the transcriptional, proteomic, and ultimately phenotypic level in mammalian cells.

Indexed as

Gene Regulatory NetworksOptogeneticsAlgorithmsAnimalsGene ExpressionLightProteomics

Identifiers

PMID34309594
PMCPMC8590858
OpenAlexW3180244438

What OpenQuestion holds

Textmetadata
LicenceTDM
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.