Evidence map›Paper›PMID 31312009›Full record

ArticleScientific reports2019

Label-free time- and space-resolved exometabolite sampling of growing plant roots through nanoporous interfaces.

Damith E W Patabadige, Larry J Millet, Jayde A Aufrecht, Peter G Shankles, Robert F Standaert, Scott T Retterer, Mitchel J Doktycz

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Nano-engineered tools in the diagnosis, therapeutics, prevention, and mitigation of SARS-CoV-2.Journal of controlled release : official journal of the Controlled Release Society · 2021
    Review
  4. Article
  5. Review
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

7 authors.

Damith E W PatabadigeBiosciences Division, Oak Ridge National Laboratory, PO Box 2008 MS 6445, Oak Ridge, TN, 37831-6445, USA.
Larry J MilletBiosciences Division, Oak Ridge National Laboratory, PO Box 2008 MS 6445, Oak Ridge, TN, 37831-6445, USA.
Jayde A AufrechtBiosciences Division, Oak Ridge National Laboratory, PO Box 2008 MS 6445, Oak Ridge, TN, 37831-6445, USA.
Peter G ShanklesBiosciences Division, Oak Ridge National Laboratory, PO Box 2008 MS 6445, Oak Ridge, TN, 37831-6445, USA.
Robert F StandaertBiosciences Division, Oak Ridge National Laboratory, PO Box 2008 MS 6445, Oak Ridge, TN, 37831-6445, USA.
Scott T RettererBiosciences Division, Oak Ridge National Laboratory, PO Box 2008 MS 6445, Oak Ridge, TN, 37831-6445, USA. rettererst@ornl.gov.
Mitchel J DoktyczBiosciences Division, Oak Ridge National Laboratory, PO Box 2008 MS 6445, Oak Ridge, TN, 37831-6445, USA. doktyczmj@ornl.gov.ORCID http://orcid.org/0000-0003-4856-8343

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spatial and temporal profiling of metabolites within and between living systems is vital to understanding how chemical signaling shapes the composition and function of these complex systems. Measurement of metabolites is challenging because they are often not amenable to extrinsic tags, are diverse in nature, and are present with a broad range of concentrations. Moreover, direct imaging by chemically informative tools can significantly compromise viability of the system of interest or lack adequate resolution. Here, we present a nano-enabled and label-free imaging technology using a microfluidic sampling network to track production and distribution of chemical information in the microenvironment of a living organism. We describe the integration of a polyester track-etched (PETE) nanofluidic interface to physically confine the biological sample within the model environment, while allowing fluidic access via an underlying microfluidic network. The nanoporous interface enables sampling of the microenvironment above in a time-dependent and spatially-resolved manner. For demonstration, the diffusional flux through the PETE membrane was characterized to understand membrane performance, and exometabolites from a growing plant root were successfully profiled in a space- and time-resolved manner. This method and device provide a frame-by-frame description of the chemical environment that maps to the physical and biological characteristics of the sample.

Identifiers

PMID31312009
PMCPMC6635491

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.