Evidence map›Paper›PMID 38405906›Full record

ArticlebioRxiv : the preprint server for biology2024

Workflow enhancement of TurboID-mediated proximity labeling for SPY signaling network mapping.

TaraBryn S Grismer, Sumudu S Karundasa, Ruben Shrestha, Danbi Byun, Weimin Ni, Andres V Reyes, Shou-Ling Xu

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

TaraBryn S GrismerDivision of biosphere science and engineering, Carnegie Institution for Science, Stanford, California, USA.ORCID 0009-0006-5637-6068
Sumudu S KarundasaDivision of biosphere science and engineering, Carnegie Institution for Science, Stanford, California, USA.
Ruben ShresthaDivision of biosphere science and engineering, Carnegie Institution for Science, Stanford, California, USA.
Danbi ByunDivision of biosphere science and engineering, Carnegie Institution for Science, Stanford, California, USA.
Weimin NiDivision of biosphere science and engineering, Carnegie Institution for Science, Stanford, California, USA.
Andres V ReyesDivision of biosphere science and engineering, Carnegie Institution for Science, Stanford, California, USA.
Shou-Ling XuDivision of biosphere science and engineering, Carnegie Institution for Science, Stanford, California, USA.ORCID 0000-0002-6741-9506

Funding

Nutrient regulation of Alternative splicing and transcription by O-GlcNAcylationR01GM135706 · NIGMS · CARNEGIE INSTITUTION OF WASHINGTON, D.C. · PI XU, SHOULING · 2020 to 2024
$1.8M
Thermo Orbitrap Eclipse Tribrid with ETD and an Ultimate 3000 RSLCnano SystemS10OD030441 · OD · CARNEGIE INSTITUTION OF WASHINGTON, D.C. · PI XU, SHOULING · 2022 to 2022
$600k
NIGMS NIH HHS R01 GM135706NIH HHS S10 OD030441
6 · The paper itself

Abstract

TurboID-based proximity labeling coupled to mass spectrometry (PL-MS) has emerged as a powerful tool for mapping protein-protein interactions in both plant and animal systems. Despite advances in sensitivity, PL-MS studies can still suffer from false negatives, especially when dealing with low abundance bait proteins and their transient interactors. Protein-level enrichment for biotinylated proteins is well developed and popular, but direct detection of biotinylated proteins by peptide-level enrichment and the difference in results between direct and indirect detection remain underexplored. To address this gap, we compared and improved enrichment and data analysis methods using TurboID fused to SPY, a low-abundance O-fucose transferase, using an AAL-enriched SPY target library for cross-referencing. Our results showed that MyOne and M280 streptavidin beads significantly outperformed antibody beads for peptide-level enrichment, with M280 performing best. In addition, while a biotin concentration ≤ 50 μM is recommended for protein-level enrichment in plants, higher biotin concentrations can be used for peptide-level enrichment, allowing us to improve detection and data quality. FragPipe's MSFragger protein identification and quantification software outperformed Maxquant and Protein Prospector for SPY interactome enrichment due to its superior detection of biotinylated peptides. Our improved washing protocols for protein-level enrichment mitigated bead collapse issues, improving data quality, and reducing experimental time. We found that the two enrichment methods provided complementary results and identified a total of 160 SPY-TurboID-enriched interactors, including 60 previously identified in the AAL-enriched SPY target list and 100 additional novel interactors. SILIA quantitative proteomics comparing WT and

Identifiers

PMID38405906
PMCPMC10888891

What Socratic holds

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LicenceCC BY-NC
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 Socratic graph.