Evidence map›Paper›PMID 27188265›Full record

ArticleNature communications2016

Flow cytometry combined with viSNE for the analysis of microbial biofilms and detection of microplastics.

Linn Sgier, Remo Freimann, Anze Zupanic, Alexandra Kroll

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
6.8field-weighted citation impact, top 3% 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

23 citing papers in PubMed, 105 citations in OpenAlex.

  1. Review
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  11. Geometry Regularized Autoencoders.IEEE transactions on pattern analysis and machine intelligence · 2023
    Article
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  18. Immune signatures of prodromal multiple sclerosis in monozygotic twins.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  19. Toxicity of Microplastics and Nanoplastics in Mammalian Systems.International journal of environmental research and public health · 2020
    Review
  20. Characterization of Aquatic Biofilms with Flow Cytometry.Journal of visualized experiments : JoVE · 2018
    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

4 authors at 2 institutions in 1 country.

Linn SgierDepartment of Environmental Toxicology, Eawag-Swiss Federal Institute for Aquatic Science and Technology, 8600 Dübendorf, Switzerland.
Remo FreimannETHZ-Department of Biology, Institute of Molecular Health Sciences, 8093 Zürich, Switzerland.ORCID 0000-0002-8955-2842
Anze ZupanicDepartment of Environmental Toxicology, Eawag-Swiss Federal Institute for Aquatic Science and Technology, 8600 Dübendorf, Switzerland.
Alexandra KrollDepartment of Environmental Toxicology, Eawag-Swiss Federal Institute for Aquatic Science and Technology, 8600 Dübendorf, Switzerland.
Swiss Federal Institute of Aquatic Science and Technology · CHETH Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biofilms serve essential ecosystem functions and are used in different technical applications. Studies from stream ecology and waste-water treatment have shown that biofilm functionality depends to a great extent on community structure. Here we present a fast and easy-to-use method for individual cell-based analysis of stream biofilms, based on stain-free flow cytometry and visualization of the high-dimensional data by viSNE. The method allows the combined assessment of community structure, decay of phototrophic organisms and presence of abiotic particles. In laboratory experiments, it allows quantification of cellular decay and detection of survival of larger cells after temperature stress, while in the field it enables detection of community structure changes that correlate with known environmental drivers (flow conditions, dissolved organic carbon, calcium) and detection of microplastic contamination. The method can potentially be applied to other biofilm types, for example, for inferring community structure for environmental and industrial research and monitoring.

Indexed as

BiofilmsFlow CytometryMicrobial ConsortiaPlasticsRiversSingle-Cell AnalysisPlastics

Identifiers

PMID27188265
PMCPMC4873979
OpenAlexW2402246158

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.