Evidence map›Paper›PMID 37450145›Full record

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

Dynamic Proximity Tagging in Living Plant Cells with Pupylation-Based Interaction Tagging.

Ruiqiang Ye, Zhuoran Lin, Kun-Hsaing Liu, Jen Sheen, Sixue Chen

Abstract read
PubMed Publisher
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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
6.9field-weighted citation impact, top 3% 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, 5 citations in OpenAlex.

  1. Review
  2. Review
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 at 4 institutions in 2 countries.

Ruiqiang YeDepartment of Molecular Biology and Centre for Computational and Integrative Biology, Massachusetts General Hospital, and Department of Genetics, Harvard Medical School, Boston, MA, USA. rqye@cemps.ac.cn.
Zhuoran LinState Key Laboratory of Crop Stress Biology for Arid Areas and College of Life Sciences, and Institute of Future Agriculture, Northwest Agriculture & Forestry University, Yangling, Shaanxi, China.
Kun-Hsaing LiuDepartment of Molecular Biology and Centre for Computational and Integrative Biology, Massachusetts General Hospital, and Department of Genetics, Harvard Medical School, Boston, MA, USA.
Jen SheenDepartment of Molecular Biology and Centre for Computational and Integrative Biology, Massachusetts General Hospital, and Department of Genetics, Harvard Medical School, Boston, MA, USA.
Sixue ChenDepartment of Biology, University of Mississippi, Oxford, MS, USA. schen8@olemiss.edu.
Massachusetts General Hospital · USHarvard University · USNorthwest A&F University · CNUniversity of Mississippi · US

Funding

Glucose Signal Transduction Pathways in PlantsR01GM060493 · NIGMS · MASSACHUSETTS GENERAL HOSPITAL · PI SHEEN, JEN · 2000 to 2017
$5.7M
NIGMS NIH HHS R01 GM060493
6 · The paper itself

Abstract

Identification of protein-protein interactions (PPIs) and protein kinase substrates is fundamental for understanding how proteins exert biological functions with their partners and targets. However, it is still technically challenging, especially for transient and weak interactions involved in most cellular processes. The proximity-tagging systems enable capturing snapshots of both stable and transient PPIs. In this chapter, we describe in detail the methodology of a novel proximity-based labeling approach, PUP-IT (pupylation-based interaction tagging), to identify PPIs using a protoplast transient expression system. We have successfully identified potential kinase substrates by targeted screening and tandem mass spectrometry analysis.

Indexed as

Bacterial ProteinsPlant CellsTandem Mass SpectrometryBacterial ProteinsMesophyll protoplastProtein interactionsProximity-tagging systemPUP-ITSignal transduction

Identifiers

PMID37450145
OpenAlexW4384346356

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.