Evidence map›Paper›PMID 27446176›Full record

ArticleFrontiers in plant science2016

Autofluorescence as a Signal to Sort Developing Glandular Trichomes by Flow Cytometry.

Nick Bergau, Alexander Navarette Santos, Anja Henning, Gerd U Balcke, Alain Tissier

Abstract read
In one paragraph

Article in Frontiers in plant science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
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  5. Glandular and Non-Glandular Trichomes fromPlants (Basel, Switzerland) · 2023
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  6. Review
  7. Article
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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

5 authors.

Nick BergauDepartment of Cell and Metabolic Biology, Leibniz-Institute of Plant Biochemistry Halle, Germany.
Alexander Navarette SantosCenter for Basic Medical Research, Martin-Luther University of Halle-Wittenberg Halle, Germany.
Anja HenningDepartment of Cell and Metabolic Biology, Leibniz-Institute of Plant Biochemistry Halle, Germany.
Gerd U BalckeDepartment of Cell and Metabolic Biology, Leibniz-Institute of Plant Biochemistry Halle, Germany.
Alain TissierDepartment of Cell and Metabolic Biology, Leibniz-Institute of Plant Biochemistry Halle, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The industrial relevance of a number of metabolites produced in plant glandular trichomes (GTs) has spurred research on these specialized organs for a number of years. Most of the research, however, has focused on the elucidation of secondary metabolite pathways and comparatively little has been undertaken on the development and differentiation of GTs. One way to gain insight into these developmental processes is to generate stage-specific transcriptome and metabolome data. The difficulty for this resides in the isolation of early stages of development of the GTs. Here we describe a method for the separation and isolation of intact young and mature type VI trichomes from the wild tomato species Solanum habrochaites. The final and key step of the method uses cell sorting based on distinct autofluorescence signals of the young and mature trichomes. We demonstrate that sorting by flow cytometry allows recovering pure fractions of young and mature trichomes. Furthermore, we show that the sorted trichomes can be used for transcript and metabolite analyses. Because many plant tissues or cells have distinct autofluorescence components, the principles of this method can be generally applicable for the isolation of specific cell types without prior labeling.

Indexed as

autofluorescencedensity gradientdevelopmentfluorescence activated cell sortingSolanum habrochaitestomato trichomestype VI trichomes

Identifiers

PMID27446176
PMCPMC4923063

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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.