Evidence map›Paper›PMID 36711935›Full record

ArticlebioRxiv : the preprint server for biology2023

Automated Enrichment of Phosphotyrosine Peptides for High-Throughput Proteomics.

Alexis Chang, Mario Leutert, Ricard A Rodriguez-Mias, Judit Villén

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Alexis ChangDepartment of Genome Sciences, University of Washington, Seattle WA 98195, USA.
Mario LeutertDepartment of Genome Sciences, University of Washington, Seattle WA 98195, USA.
Ricard A Rodriguez-MiasDepartment of Genome Sciences, University of Washington, Seattle WA 98195, USA.
Judit VillénDepartment of Genome Sciences, University of Washington, Seattle WA 98195, USA.
University of Washington · US

Funding

Emergent properties of signaling network degradation that mediate homeostatic failure during agingR01AG056359 · NIA · UNIVERSITY OF WASHINGTON · PI KAEBERLEIN, MATT, VILLEN, JUDIT · 2017 to 2021
$2.9M
Towards a comprehensive roadmap of cellular signaling.R35GM119536 · NIGMS · UNIVERSITY OF WASHINGTON · PI VILLEN, JUDIT · 2016 to 2020
$2.2M
NIA NIH HHS R01 AG056359NIGMS NIH HHS R35 GM119536
6 · The paper itself

Abstract

Phosphotyrosine (pY) enrichment is critical for expanding fundamental and clinical understanding of cellular signaling by mass spectrometry-based proteomics. However, current pY enrichment methods exhibit a high cost per sample and limited reproducibility due to expensive affinity reagents and manual processing. We present rapid-robotic phosphotyrosine proteomics (R2-pY), which uses a magnetic particle processor and pY superbinders or antibodies. R2-pY handles 96 samples in parallel, requires 2 days to go from cell lysate to mass spectrometry injections, and results in global proteomic, phosphoproteomic and tyrosine specific phosphoproteomic samples. We benchmark the method on HeLa cells stimulated with pervanadate and serum and report over 4000 unique pY sites from 1 mg of peptide input, strong reproducibility between replicates, and phosphopeptide enrichment efficiencies above 99%. R2-pY extends our previously reported R2-P2 proteomic and global phosphoproteomic sample preparation framework, opening the door to large-scale studies of pY signaling in concert with global proteome and phosphoproteome profiling.

Identifiers

PMID36711935
PMCPMC9881991
OpenAlexW4313637718

What Socratic holds

Textmetadata
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.