Evidence map›Paper›PMID 37166593›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Imaging and Quantifying the Endocytosis of IRON-REGULATED TRANSPORTER1 from Arabidopsis.

Julien Spielmann, Julie Neveu, Grégory Vert

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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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.

Julien SpielmannPlant Science Research Laboratory (LRSV), CNRS/University of Toulouse, Auzeville Tolosane, France.
Julie NeveuPlant Science Research Laboratory (LRSV), CNRS/University of Toulouse, Auzeville Tolosane, France.
Grégory VertPlant Science Research Laboratory (LRSV), CNRS/University of Toulouse, Auzeville Tolosane, France. Gregory.Vert@univ-tlse3.fr.
Laboratoire de Recherche en Sciences Végétales · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Iron plays an essential role in plant metabolism and the regulation of its transport is essential for the plant. In Arabidopsis thaliana, iron uptake in root epidermal cells is mediated by the IRT1 (IRON-REGULATED TRANSPORTER 1) broad-spectrum transporter. The regulation of the IRT1 protein is controlled by sophisticated mechanisms that allow it to fine-tune the amount of transporter found at the plasma membrane and to modulate the uptake of iron and divalent metals transported by IRT1. IRT1 shows low selectivity and transports different metals such as manganese, zinc, cobalt, and cadmium. An excess of these non-iron metal substrates of IRT1 is toxic for the plant. The ability of plants to adapt to non-iron metal stress is based on the sensing of their excess, leading to the internalization and degradation of IRT1. IRT1 acts as a bifunctional transporter/receptor directly sensing metal non-iron excess and then undergoes a series of post-translational modifications of the protein culminating in its endocytosis and vacuolar degradation. To monitor the intracellular dynamics of IRT1, we describe in this chapter a live cell imaging approach to follow and quantify IRT1-mCitrine trafficking from the plasma membrane to the vacuole.

Indexed as

ArabidopsisArabidopsis ProteinsBiological TransportEndocytosisGene Expression Regulation, PlantMetalsPlant RootsArabidopsis ProteinsMetalsArabidopsisEndocytosisImagingIron

Identifiers

PMID37166593
OpenAlexW4376133096

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.