Evidence map›Paper›PMID 26318310›Full record

ArticlePlanta2015

Tracking transience: a method for dynamic monitoring of biological events in Arabidopsis thaliana biosensors.

George Hines, Cyrus Modavi, Keni Jiang, Andrew Packard, Kameshwar Poolla, Lewis Feldman

Abstract read
PubMed Publisher
In one paragraph

Article in Planta, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 41% 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, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  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

6 authors at 1 institution in 1 country.

George HinesDepartment of Mechanical Engineering, University of California, Berkeley, CA, 94720-3102, USA.
Cyrus ModaviDepartment of Bioengineering, University of California, Berkeley, CA, 94720-3102, USA.
Keni JiangDepartment of Plant and Microbial Biology, University of California, Berkeley, CA, 94720-3102, USA.
Andrew PackardDepartment of Mechanical Engineering, University of California, Berkeley, CA, 94720-3102, USA.
Kameshwar PoollaDepartment of Mechanical Engineering, University of California, Berkeley, CA, 94720-3102, USA.
Lewis FeldmanDepartment of Plant and Microbial Biology, University of California, Berkeley, CA, 94720-3102, USA. ljfeldman@berkeley.edu.
University of California, Berkeley · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MAIN

conclusionThe activation and level of expression of an endogenous, stress-responsive biosensor (bioreporter) can be visualized in real-time and non-destructively using highly accessible equipment (fluorometer). Biosensor output can be linked to computer-controlled systems to enable feedback-based control of a greenhouse environment. Today's agriculture requires an ability to precisely and rapidly assess the physiological stress status of plants in order to optimize crop yield. Here we describe the implementation and utility of a detection system based on a simple fluorometer design for real-time, continuous, and non-destructive monitoring of a genetically engineered biosensor plant. We report the responses to heat stress of Arabidopsis thaliana plants expressing a Yellow Fluorescent Protein bioreporter under the control of the DREB2A temperature-sensing promoter. Use of this bioreporter provides the ability to identify transient and steady-state behavior of gene activation in response to stress, and serves as an interface for novel experimental protocols. Models identified through such experiments inform the development of computer-based feedback control systems for the greenhouse environment, based on in situ monitoring of mature plants. More broadly, the work here provides a basis for informing biologists and engineers about the kinetics of bioreporter constructs, and also about ways in which other fluorescent protein constructs could be integrated into automated control systems.

Indexed as

Biosensing TechniquesArabidopsisArabidopsis ProteinsGene Expression Regulation, PlantPlants, Genetically ModifiedPromoter Regions, GeneticArabidopsis ProteinsArabidopsisBioreporterDREB2AFluorescent proteinsPlant stress

Identifiers

PMID26318310
OpenAlexW2491887276

What OpenQuestion holds

Textmetadata
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.