Evidence map›Paper›PMID 38765996›Full record

ArticlebioRxiv : the preprint server for biology2024

Resolving sulfation PTMs on a plant peptide hormone using nanopore sequencing.

Xiuqi Chen, Jasper W van de Sande, Justas Ritmejeris, Chenyu Wen, Henry Brinkerhoff, Andrew H Laszlo, Bauke Albada, Cees Dekker

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Xiuqi ChenDepartment of Bionanoscience, Kavli Institute of Nanoscience Delft, Delft University of Technology, Delft, the Netherlands.ORCID 0000-0003-1157-3501
Jasper W van de SandeLaboratory of Organic Chemistry, Wageningen University & Research, Wageningen, the Netherlands.ORCID 0000-0002-4483-5056
Justas RitmejerisDepartment of Bionanoscience, Kavli Institute of Nanoscience Delft, Delft University of Technology, Delft, the Netherlands.ORCID 0000-0002-6166-4594
Chenyu WenDepartment of Bionanoscience, Kavli Institute of Nanoscience Delft, Delft University of Technology, Delft, the Netherlands.ORCID 0000-0003-4395-7905
Henry BrinkerhoffDepartment of Physics, University of Washington, Seattle, WA, USA.ORCID 0000-0003-2735-8048
Andrew H LaszloDepartment of Physics, University of Washington, Seattle, WA, USA.ORCID 0000-0002-7853-0533
Bauke AlbadaLaboratory of Organic Chemistry, Wageningen University & Research, Wageningen, the Netherlands.ORCID 0000-0003-3659-2434
Cees DekkerDepartment of Bionanoscience, Kavli Institute of Nanoscience Delft, Delft University of Technology, Delft, the Netherlands.ORCID 0000-0001-6273-071X

Funding

Towards Single-Molecule Protein Sequencing with NanoporesR01HG012544 · NHGRI · UNIVERSITY OF WASHINGTON · PI DEKKER, CEES, GUNDLACH, JENS · 2022 to 2024
$1.7M
NHGRI NIH HHS R01 HG012544
6 · The paper itself

Abstract

Peptide phytohormones are decorated with post-translational modifications (PTMs) that are crucial for receptor recognition. Tyrosine sulfation on these hormones is essential for plant growth and development1. Measuring the occurrence and position of sulfotyrosine is, however, compromised by major technical challenges during isolation and detection2. We recently introduced a nanopore peptide sequencing method that sensitively detects PTMs at the single-molecule level3. By translocating PTM variants of the plant pentapeptide hormone phytosulfokine (PSK) through a nanopore, we here demonstrate accurate identification of sulfation and phosphorylation on the two tyrosine residues of PSK. Sulfation can be clearly detected and distinguished (>90%) from phosphorylation on the same residue. Moreover, the presence or absence of PTMs on the two close-by tyrosine residues can be accurately determined (>96% accuracy). Our findings demonstrate the extraordinary sensitivity of nanopore protein measurements, providing a new tool for identifying sulfation on peptide phytohormones and promising wider applications to identify protein PTMs.

Identifiers

PMID38765996
PMCPMC11100766

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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.