Evidence map›Paper›PMID 37699129›Full record

ArticleApplied and environmental microbiology2023

Methyl halide transferase-based gas reporters for quantification of filamentous bacteria in microdroplet emulsions.

Xinhao Song, Sarah J Kong, Seokju Seo, Ramya Ganiga Prabhakar, Yousif Shamoo

Open access · greenAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 88% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 1 institution in 1 country.

Xinhao SongDepartment of BioSciences, Rice University , Houston, Texas, USA.ORCID 0009-0009-4776-2428
Sarah J KongDepartment of BioSciences, Rice University , Houston, Texas, USA.
Seokju SeoDepartment of BioSciences, Rice University , Houston, Texas, USA.
Ramya Ganiga PrabhakarDepartment of BioSciences, Rice University , Houston, Texas, USA.
Yousif ShamooDepartment of BioSciences, Rice University , Houston, Texas, USA.
Rice University · US

Funding

Defining Evolutionary Trajectories: Molecular adaptation to antibiotic resistanceR01AI080714 · NIAID · RICE UNIVERSITY · PI SHAMOO, YOUSIF · 2009 to 2023
$4.3M
NIAID NIH HHS R01 AI080714
6 · The paper itself

Abstract

The application of microfluidic techniques in experimental and environmental studies is a rapidly emerging field. Water-in-oil microdroplets can serve readily as controllable micro-vessels for studies that require spatial structure. In many applications, it is useful to monitor cell growth without breaking or disrupting the microdroplets. To this end, optical reporters based on color, fluorescence, or luminescence have been developed. However, optical reporters suffer from limitations when used in microdroplets such as inaccurate readings due to strong background interference or limited sensitivity during early growth stages. In addition, optical detection is typically not amenable to filamentous or biofilm-producing organisms that have significant nonlinear changes in opacity and light scattering during growth. To overcome such limitations, we show that volatile methyl halide gases produced by reporter cells expressing a methyl halide transferase (MHT) can serve as an alternative nonoptical detection approach suitable for microdroplets. In this study, an MHT-labeled

Indexed as

GasesTransferasesEmulsionsFluorescenceEmulsionsGasesTransferasesmicrofluidicssoil microbiologyStreptomyces

Identifiers

PMID37699129
PMCPMC10537575
OpenAlexW4386547314

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.