Evidence map›Paper›PMID 39197086›Full record

ArticleACS synthetic biology2024

Genetically Encoded, Noise-Tolerant, Auxin Biosensors in Yeast.

Patarasuda Chaisupa, Md Mahbubur Rahman, Sherry B Hildreth, Saede Moseley, Chauncey Gatling, Matthew R Bryant, Richard F Helm, R Clay Wright

Abstract read
In one paragraph

Article in ACS synthetic biology, 2024. 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
–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

2 citing papers in PubMed.

  1. Review
  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

8 authors.

Patarasuda ChaisupaDepartment of Biological Systems Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.
Md Mahbubur RahmanDepartment of Biological Systems Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.
Sherry B HildrethFralin Life Sciences Institute, Virginia Tech, Blacksburg, Virginia 24061, United States.
Saede MoseleyDepartment of Biological Systems Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.
Chauncey GatlingDepartment of Biological Systems Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.
Matthew R BryantDepartment of Biological Systems Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.
Richard F HelmFralin Life Sciences Institute, Virginia Tech, Blacksburg, Virginia 24061, United States.
R Clay WrightDepartment of Biological Systems Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.ORCID 0000-0001-7125-3943

Funding

Understanding and Engineering Chemically Activated Ubiquitin LigasesR35GM150856 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI Robert Clay Wright · 2023 to 2026
$1.5M
NIGMS NIH HHS R35 GM150856
6 · The paper itself

Abstract

Auxins are crucial signaling molecules that regulate the growth, metabolism, and behavior of various organisms, most notably plants but also bacteria, fungi, and animals. Many microbes synthesize and perceive auxins, primarily indole-3-acetic acid (IAA, referred to as auxin herein), the most prevalent natural auxin, which influences their ability to colonize plants and animals. Understanding auxin biosynthesis and signaling in fungi may allow us to better control interkingdom relationships and microbiomes from agricultural soils to the human gut. Despite this importance, a biological tool for measuring auxin with high spatial and temporal resolution has not been engineered in fungi. In this study, we present a suite of genetically encoded, ratiometric, protein-based auxin biosensors designed for the model yeast

Indexed as

Biosensing TechniquesIndoleacetic AcidsSaccharomyces cerevisiaeSignal Transductionindoleacetic acidIndoleacetic Acidsauxindose−response assaygenetically encoded biosensorindole-3-acetic acid (IAA)quantificationratiometricyeast

Identifiers

PMID39197086
PMCPMC11421217

What OpenQuestion holds

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Registered trials

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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.