Evidence map›Paper›PMID 30886359›Full record

ArticleNature microbiology2019

An automated Raman-based platform for the sorting of live cells by functional properties.

Kang Soo Lee, Márton Palatinszky, Fátima C Pereira, Jen Nguyen, Vicente I Fernandez, Anna J Mueller, Filippo Menolascina, Holger Daims, David Berry, Michael Wagner and 1 more

Erratum issuedOpen access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Nature microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 123 papers.

0numbers the graph read from it
0cells of the map it votes in
123citing papers in PubMed
13.6field-weighted citation impact, top 1% 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

123 citing papers in PubMed, 283 citations in OpenAlex.

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  12. Total saponins ofJournal of ginseng research · 2025
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63 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 4 countries.

Kang Soo LeeRalph M. Parsons Laboratory for Environmental Science and Engineering, Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Márton PalatinszkyCenter of Microbiology and Environmental Systems Science, Division of Microbial Ecology, University of Vienna, Vienna, Austria.
Fátima C PereiraCenter of Microbiology and Environmental Systems Science, Division of Microbial Ecology, University of Vienna, Vienna, Austria.ORCID http://orcid.org/0000-0002-1288-6481
Jen NguyenRalph M. Parsons Laboratory for Environmental Science and Engineering, Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Vicente I FernandezRalph M. Parsons Laboratory for Environmental Science and Engineering, Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Anna J MuellerCenter of Microbiology and Environmental Systems Science, Division of Microbial Ecology, University of Vienna, Vienna, Austria.ORCID http://orcid.org/0000-0002-9939-5633
Filippo MenolascinaSchool of Engineering, Institute for Bioengineering, The University of Edinburgh, Edinburgh, UK.
Holger DaimsCenter of Microbiology and Environmental Systems Science, Division of Microbial Ecology, University of Vienna, Vienna, Austria.
David BerryCenter of Microbiology and Environmental Systems Science, Division of Microbial Ecology, University of Vienna, Vienna, Austria.ORCID http://orcid.org/0000-0002-8997-608X
Michael WagnerCenter of Microbiology and Environmental Systems Science, Division of Microbial Ecology, University of Vienna, Vienna, Austria.ORCID http://orcid.org/0000-0002-9778-7684
Roman StockerRalph M. Parsons Laboratory for Environmental Science and Engineering, Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. romanstocker@ethz.ch.ORCID http://orcid.org/0000-0002-3199-0508
University of Vienna · ATParsons (United States) · USCenter for Environmental Health · USUniversity of Edinburgh · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stable-isotope probing is widely used to study the function of microbial taxa in their natural environment, but sorting of isotopically labelled microbial cells from complex samples for subsequent genomic analysis or cultivation is still in its early infancy. Here, we introduce an optofluidic platform for automated sorting of stable-isotope-probing-labelled microbial cells, combining microfluidics, optical tweezing and Raman microspectroscopy, which yields live cells suitable for subsequent single-cell genomics, mini-metagenomics or cultivation. We describe the design and optimization of this Raman-activated cell-sorting approach, illustrate its operation with four model bacteria (two intestinal, one soil and one marine) and demonstrate its high sorting accuracy (98.3 ± 1.7%), throughput (200-500 cells h

Indexed as

AnimalsBacteriaColonFemaleFlow CytometryGenomicsIsotope LabelingMaleMetagenomicsMiceMice, Inbred C57BLMicrofluidicsModels, BiologicalMucinsSeawaterSingle-Cell AnalysisMucins

Identifiers

PMID30886359
OpenAlexW2921633803

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.