Evidence map›Paper›PMID 30340045›Full record

ArticleCell2018

Real-Time Genetic Compensation Defines the Dynamic Demands of Feedback Control.

Patrick Harrigan, Hiten D Madhani, Hana El-Samad

Open access · bronzeAbstract read
In one paragraph

Article in Cell, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
3.9field-weighted citation impact, top 5% 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

37 citing papers in PubMed, 98 citations in OpenAlex.

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  19. Platforms for Optogenetic Stimulation and Feedback Control.Frontiers in bioengineering and biotechnology · 2022
    Review
  20. 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

3 authors at 3 institutions in 1 country.

Patrick HarriganDepartment of Biochemistry and Biophysics, California Institute for Quantitative Biosciences, University of California, San Francisco, San Francisco, CA 94158, USA.
Hiten D MadhaniDepartment of Biochemistry and Biophysics, California Institute for Quantitative Biosciences, University of California, San Francisco, San Francisco, CA 94158, USA; Chan-Zuckerberg Biohub, San Francisco, CA 94158, USA. Electronic address: hitenmadhani@gmail.com.
Hana El-SamadDepartment of Biochemistry and Biophysics, California Institute for Quantitative Biosciences, University of California, San Francisco, San Francisco, CA 94158, USA; Chan-Zuckerberg Biohub, San Francisco, CA 94158, USA. Electronic address: hana.el-samad@ucsf.edu.
Chan Zuckerberg Initiative (United States) · USQB3 · USUniversity of California, San Francisco · US

Funding

Mechanisms of Gene SilencingR01GM071801 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Hiten D Madhani · 2005 to 2026
$7.1M
BMI Bioinformatics Training GrantsT32GM067547 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HERNANDEZ, RYAN D. · 2003 to 2022
$6.6M
Integrative Program in Complex Biological System (ipCBS)T32EB009383 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MARSHALL, WALLACE, WEINER, ORION D · 2009 to 2022
$3.2M
Epigenetic control of virulence in a fungal meningitis pathogenR01AI120464 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MADHANI, HITEN D · 2015 to 2019
$1.9M
NIAID NIH HHS R01 AI120464NIBIB NIH HHS T32 EB009383NIGMS NIH HHS R01 GM071801
6 · The paper itself

Abstract

Biological signaling networks use feedback control to dynamically adjust their operation in real time. Traditional static genetic methods such as gene knockouts or rescue experiments can often identify the existence of feedback interactions but are unable to determine what feedback dynamics are required. Here, we implement a new strategy, closed-loop optogenetic compensation (CLOC), to address this problem. Using a custom-built hardware and software infrastructure, CLOC monitors, in real time, the output of a pathway deleted for a feedback regulator. A minimal model uses these measurements to calculate and deliver-on the fly-an optogenetically enabled transcriptional input designed to compensate for the effects of the feedback deletion. Application of CLOC to the yeast pheromone response pathway revealed surprisingly distinct dynamic requirements for three well-studied feedback regulators. CLOC, a marriage of control theory and traditional genetics, presents a broadly applicable methodology for defining the dynamic function of biological feedback regulators.

Indexed as

Feedback, PhysiologicalGene Expression Regulation, FungalGenetic Complementation TestMating FactorOptogeneticsSaccharomyces cerevisiaeSoftwareTranscriptional ActivationMating Factorclosed-loop controlfeedbackoptogeneticsyeast mating pathway

Identifiers

PMID30340045
PMCPMC6258208
OpenAlexW2897387579

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.