Evidence map›Paper›PMID 30577541›Full record

ReviewInternational journal of molecular sciences2018

Clinically Relevant Post-Translational Modification Analyses-Maturing Workflows and Bioinformatics Tools.

Dana Pascovici, Jemma X Wu, Matthew J McKay, Chitra Joseph, Zainab Noor, Karthik Kamath, Yunqi Wu, Shoba Ranganathan, Vivek Gupta, Mehdi Mirzaei

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Review
  2. Review
  3. Precision Profiling of the Cardiovascular Post-Translationally Modified Proteome.Journal of cardiovascular development and disease · 2026
    Review
  4. Review
  5. Review
  6. Plasma/Serum Proteomics based on Mass Spectrometry.Protein and peptide letters · 2024
    Review
  7. Immunopeptidomics in the cancer immunotherapy era.Exploration of targeted anti-tumor therapy · 2024
    Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. DissectingACS omega · 2022
    Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Article
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

10 authors.

Dana PascoviciDepartment of Molecular Sciences, Macquarie University, Sydney, NSW 2109, Australia. dana.pascovici@mq.edu.au.
Jemma X WuDepartment of Molecular Sciences, Macquarie University, Sydney, NSW 2109, Australia. jemma.wu@mq.edu.au.
Matthew J McKayDepartment of Molecular Sciences, Macquarie University, Sydney, NSW 2109, Australia. matthew.mckay@mq.edu.au.
Chitra JosephDepartment of Clinical Medicine, Macquarie University, Sydney, NSW 2109, Australia. chitra.joseph@hdr.mq.edu.au.ORCID 0000-0003-4449-8413
Zainab NoorDepartment of Molecular Sciences, Macquarie University, Sydney, NSW 2109, Australia. zainab.noor@students.mq.edu.au.
Karthik KamathDepartment of Molecular Sciences, Macquarie University, Sydney, NSW 2109, Australia. Karthik.kamath@mq.edu.au.
Yunqi WuDepartment of Molecular Sciences, Macquarie University, Sydney, NSW 2109, Australia. Yunqi.wu@mq.edu.au.
Shoba RanganathanDepartment of Molecular Sciences, Macquarie University, Sydney, NSW 2109, Australia. Shoba.ranganathan@mq.edu.au.ORCID 0000-0002-8290-813X
Vivek GuptaDepartment of Clinical Medicine, Macquarie University, Sydney, NSW 2109, Australia. vivek.gupta@mq.edu.au.
Mehdi MirzaeiDepartment of Molecular Sciences, Macquarie University, Sydney, NSW 2109, Australia. Mehdi.mirzaei@mq.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Post-translational modifications (PTMs) can occur soon after translation or at any stage in the lifecycle of a given protein, and they may help regulate protein folding, stability, cellular localisation, activity, or the interactions proteins have with other proteins or biomolecular species. PTMs are crucial to our functional understanding of biology, and new quantitative mass spectrometry (MS) and bioinformatics workflows are maturing both in labelled multiplexed and label-free techniques, offering increasing coverage and new opportunities to study human health and disease. Techniques such as Data Independent Acquisition (DIA) are emerging as promising approaches due to their re-mining capability. Many bioinformatics tools have been developed to support the analysis of PTMs by mass spectrometry, from prediction and identifying PTM site assignment, open searches enabling better mining of unassigned mass spectra-many of which likely harbour PTMs-through to understanding PTM associations and interactions. The remaining challenge lies in extracting functional information from clinically relevant PTM studies. This review focuses on canvassing the options and progress of PTM analysis for large quantitative studies, from choosing the platform, through to data analysis, with an emphasis on clinically relevant samples such as plasma and other body fluids, and well-established tools and options for data interpretation.

Indexed as

Computational BiologyProtein Processing, Post-TranslationalAlgorithmsBody FluidsDatabases, GeneticHumansMass SpectrometryPeptidesPhosphorylationProteinsProteomicsReproducibility of ResultsSoftwareWorkflowPeptidesProteinsbody fluidsclinical samplespost translational modificationPTMquantitative proteomics

Identifiers

PMID30577541
PMCPMC6337699

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.