Evidence map›Paper›PMID 31289126›Full record

ArticleThe Journal of cell biology2019

High-throughput ultrastructure screening using electron microscopy and fluorescent barcoding.

Yury S Bykov, Nir Cohen, Natalia Gabrielli, Hetty Manenschijn, Sonja Welsch, Petr Chlanda, Wanda Kukulski, Kiran R Patil, Maya Schuldiner, John A G Briggs

Open access · hybridAbstract read
In one paragraph

Article in The Journal of cell biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

19 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
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  7. Recent advances in correlative cryo-light and electron microscopy.Current opinion in structural biology · 2024
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  15. The Fast and the Furious: Golgi Contact Sites.Contact (Thousand Oaks (Ventura County, Calif.)) · 2021
    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

10 authors at 4 institutions in 3 countries.

Yury S Bykov *Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0003-2959-4108
Nir Cohen *Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel.ORCID 0000-0002-5634-1643
Natalia GabrielliStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0001-5222-3925
Hetty ManenschijnStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0003-4957-0568
Sonja WelschStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
Petr ChlandaStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0002-7782-2139
Wanda KukulskiStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0002-2778-3936
Kiran R PatilStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
Maya SchuldinerDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel maya.schuldiner@weizmann.ac.il.ORCID 0000-0001-9947-115X
John A G BriggsStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany john.briggs@mrc-lmb.cam.ac.uk.ORCID 0000-0003-3990-6910
European Molecular Biology Laboratory · DEEuropean Molecular Biology Laboratory · DEMRC Laboratory of Molecular Biology · GBWeizmann Institute of Science · IL

Funding

Medical Research Council MC_UP_1201/16Medical Research Council MC_UP_1201/8
6 · The paper itself

Abstract

Genetic screens using high-throughput fluorescent microscopes have generated large datasets, contributing many cell biological insights. Such approaches cannot tackle questions requiring knowledge of ultrastructure below the resolution limit of fluorescent microscopy. Electron microscopy (EM) reveals detailed cellular ultrastructure but requires time-consuming sample preparation, limiting throughput. Here we describe a robust method for screening by high-throughput EM. Our approach uses combinations of fluorophores as barcodes to uniquely mark each cell type in mixed populations and correlative light and EM (CLEM) to read the barcode of each cell before it is imaged by EM. Coupled with an easy-to-use software workflow for correlation, segmentation, and computer image analysis, our method, called "MultiCLEM," allows us to extract and analyze multiple cell populations from each EM sample preparation. We demonstrate several uses for MultiCLEM with 15 different yeast variants. The methodology is not restricted to yeast, can be scaled to higher throughput, and can be used in multiple ways to enable EM to become a powerful screening technique.

Indexed as

High-Throughput Screening AssaysMicroscopy, ElectronCell WallFluorescent DyesGreen Fluorescent ProteinsMicroscopy, FluorescenceMitochondriaOsmotic PressurePeroxisomesPhenotypeSaccharomyces cerevisiaeFluorescent DyesGreen Fluorescent Proteins

Identifiers

PMID31289126
PMCPMC6683748
OpenAlexW2958223646

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.