Evidence map›Paper›PMID 28280777›Full record

ArticleACS central science2017

Quantifying Hormone Disruptors with an Engineered Bacterial Biosensor.

Ariel L Furst, Alexander C Hoepker, Matthew B Francis

Abstract read
In one paragraph

Article in ACS central science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Genetic Surfaceome E. coli Reprogramming Enables Selective Water Oxidation.Advanced materials (Deerfield Beach, Fla.) · 2025
    Article
  2. Lanmodulin-Decorated Microbes for Efficient Lanthanide Recovery.Advanced materials (Deerfield Beach, Fla.) · 2025
    Article
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  10. Covalent capture and electrochemical quantification of pathogenicChemical communications (Cambridge, England) · 2021
    Article
  11. Review
  12. Article
  13. Synthetic Biology Enables Programmable Cell-Based Biosensors.Chemphyschem : a European journal of chemical physics and physical chemistry · 2020
    Review
  14. Review
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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.

Ariel L FurstDepartment of Chemistry, University of California, Berkeley , Berkeley, California 94720, United States.
Alexander C HoepkerDepartment of Chemistry, University of California, Berkeley , Berkeley, California 94720, United States.
Matthew B FrancisDepartment of Chemistry, University of California, Berkeley, Berkeley, California 94720, United States; Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endocrine disrupting compounds are found in increasing amounts in our environment, originating from pesticides, plasticizers, and pharmaceuticals, among other sources. Although the full impact of these compounds is still under study, they have already been implicated in diseases such as obesity, diabetes, and cancer. The list of chemicals that disrupt normal hormone function is growing at an alarming rate, making it crucially important to find sources of contamination and identify new compounds that display this ability. However, there is currently no broad-spectrum, rapid test for these compounds, as they are difficult to monitor because of their high potency and chemical dissimilarity. To address this, we have developed a new detection strategy for endocrine disrupting compounds that is both fast and portable, and it requires no specialized skills to perform. This system is based on a native estrogen receptor construct expressed on the surface of

Identifiers

PMID28280777
PMCPMC5324086

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.