Evidence map›Paper›PMID 31250308›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2019

ESCRT Mutant Analysis and Imaging of ESCRT Components in the Model Fungus Ustilago maydis.

Carl Haag, Thomas Klein, Michael Feldbrügge

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Metabolomic Study in Ustilaginaceae with GC-MS/MS.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  2. GC-MS-Based Metabolomics for the Smut FungusFrontiers in molecular biosciences · 2020
    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

3 authors at 1 institution in 1 country.

Carl HaagCluster of Excellence on Plant Sciences (CEPLAS), Institute for Microbiology, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany.
Thomas KleinInstitute of Genetics, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany.
Michael FeldbrüggeCluster of Excellence on Plant Sciences (CEPLAS), Institute for Microbiology, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany. feldbrue@hhu.de.
Heinrich Heine University Düsseldorf · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ESCRT machinery (endosomal sorting complex required for transport) is an evolutionarily highly conserved multiprotein complex involved in numerous cellular processes like endocytosis, membrane repair, or endosomal long-distance transport. In fungal hyphae, endocytosis and long-distance mRNA transport are tightly linked, as endocytotic vesicles are also the key carrier vehicles for mRNAs. Studying the regulatory component Did2 (CHMP1) in the plant pathogen Ustilago maydis revealed that loss of Did2 resulted in disturbed endosomal maturation, thereby causing defects in microtubule-dependent transport of early endosomes. Here, we describe methods and protocols that allow studying the role of ESCRT components during endosomal transport. We present experimental strategies to analyze U. maydis ESCRT mutant phenotypes and test complementation with heterologous components, such as ESCRT regulators from Drosophila melanogaster.

Indexed as

Drosophila ProteinsEctopic Gene ExpressionEndosomal Sorting Complexes Required for TransportEndosomesFungal ProteinsHyphaeIntravital MicroscopyMicroscopy, FluorescenceSequence DeletionUstilagoDrosophila ProteinsEndosomal Sorting Complexes Required for TransportFungal ProteinsCHMPEarly endosomesESCRT regulatorMicrotubulesmRNA transportSmall Rab-type GTPases

Identifiers

PMID31250308
OpenAlexW2954523966

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.