Evidence map›Paper›PMID 37897210›Full record

ReviewProteomics2024

Computational approaches to identify sites of phosphorylation.

Alex W Joyce, Brian C Searle

Abstract readReview
In one paragraph

Review in Proteomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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

2 authors.

Alex W JoyceDepartment of Biomedical Informatics, The Ohio State University Medical Center, Columbus, Ohio, USA.
Brian C SearleDepartment of Biomedical Informatics, The Ohio State University Medical Center, Columbus, Ohio, USA.ORCID 0000-0001-8760-6731

Funding

Investigating the functional impact of genetic variants in the human proteomeR35GM150723 · NIGMS · OHIO STATE UNIVERSITY · PI Brian Chih-Seng Searle · 2023 to 2026
$1.6M
A universal multiplexing approach to unlock the hidden proteomeR01GM133981 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SWANEY, DANIELLE L · 2019 to 2022
$1.3M
Using proteogenomics to assess the functional impact of alternative splicing events in glioblastomaR21CA267394 · NCI · SWEDISH MEDICAL CENTER, FIRST HILL · PI COBBS, CHARLES S, SEARLE, BRIAN CHIH-SENG · 2023 to 2024
$426k
NCI NIH HHS R21 CA267394NIGMS NIH HHS R01 GM133981NIGMS NIH HHS R01GM133981NIGMS NIH HHS R35 GM150723NIGMS NIH HHS R35GM150723NIH HHS R21CA267394
6 · The paper itself

Abstract

Due to their oftentimes ambiguous nature, phosphopeptide positional isomers can present challenges in bottom-up mass spectrometry-based workflows as search engine scores alone are often not enough to confidently distinguish them. Additional scoring algorithms can remedy this by providing confidence metrics in addition to these search results, reducing ambiguity. Here we describe challenges to interpreting phosphoproteomics data and review several different approaches to determine sites of phosphorylation for both data-dependent and data-independent acquisition-based workflows. Finally, we discuss open questions regarding neutral losses, gas-phase rearrangement, and false localization rate estimation experienced by both types of acquisition workflows and best practices for managing ambiguity in phosphosite determination.

Indexed as

AlgorithmsSearch EngineMass SpectrometryPhosphopeptidesPhosphorylationPhosphopeptidesbioinformaticsmass spectrometryphosphoproteomics

Identifiers

PMID37897210
PMCPMC12188548

What OpenQuestion holds

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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.