Evidence map›Paper›PMID 34919543›Full record

ArticlePloS one2021

KRSA: An R package and R Shiny web application for an end-to-end upstream kinase analysis of kinome array data.

Erica A K DePasquale, Khaled Alganem, Eduard Bentea, Nawshaba Nawreen, Jennifer L McGuire, Tushar Tomar, Faris Naji, Riet Hilhorst, Jaroslaw Meller, Robert E McCullumsmith

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. GαMetabolites · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Loss of hepatic PPARα in mice causes hypertension and cardiovascular disease.American journal of physiology. Regulatory, integrative and comparative physiology · 2023
    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.

Erica A K DePasqualeDivision of Hematology, Brigham and Women's Hospital, Boston, Massachusetts, United States of America.
Khaled AlganemDepartment of Neurosciences, University of Toledo College of Medicine, Toledo, Ohio, United States of America.ORCID 0000-0002-7368-5763
Eduard BenteaNeuro-Aging & Viro-Immunotherapy, Center for Neurosciences, Vrije Universiteit Brussel, Brussels, Belgium.
Nawshaba NawreenDepartment of Neuroscience, University of Cincinnati, Cincinnati, Ohio, United States of America.
Jennifer L McGuireDepartment of Neurosurgery, University of Cincinnati, Cincinnati, Ohio, United States of America.
Tushar TomarPamGene International B.V., s'-Hertogenbosch, The Netherlands.
Faris NajiTercen Data Analytics Ltd, Co Waterford, Ireland.
Riet HilhorstPamGene International B.V., s'-Hertogenbosch, The Netherlands.ORCID 0000-0002-8261-1299
Jaroslaw MellerDivision of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, United States of America.
Robert E McCullumsmithDepartment of Neurosciences, University of Toledo College of Medicine, Toledo, Ohio, United States of America.

Funding

PREDOCTORAL TRAINING PROGRAM IN THE NEUROSCIENCEST32NS007453 · NINDS · UNIVERSITY OF CINCINNATI · PI HERMAN, JAMES P · 1997 to 2025
$4.0M
Translational assessment of brain bioenergetic function in schizophreniaR01MH121102 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI MARANO, CHRISTOPHER, MCCULLUMSMITH, ROBERT E · 2020 to 2024
$3.7M
Cell-specific analysis of sub-kinomes in schizophreniaR01MH107487 · NIMH · UNIVERSITY OF TOLEDO HEALTH SCI CAMPUS · PI MCCULLUMSMITH, ROBERT E, MELLER, JAREK · 2016 to 2020
$1.9M
Assessing the role of Parvalbumin Interneurons in Adolescent Stress Induced ResilienceF31MH123041 · NIMH · UNIVERSITY OF CINCINNATI · PI NAWREEN, NAWSHABA · 2020 to 2022
$103k
NIMH NIH HHS F31 MH123041NIMH NIH HHS R01 MH107487NIMH NIH HHS R01 MH121102NINDS NIH HHS T32 NS007453
6 · The paper itself

Abstract

Phosphorylation by serine-threonine and tyrosine kinases is critical for determining protein function. Array-based platforms for measuring reporter peptide signal levels allow for differential phosphorylation analysis between conditions for distinct active kinases. Peptide array technologies like the PamStation12 from PamGene allow for generating high-throughput, multi-dimensional, and complex functional proteomics data. As the adoption rate of such technologies increases, there is an imperative need for software tools that streamline the process of analyzing such data. We present Kinome Random Sampling Analyzer (KRSA), an R package and R Shiny web-application for analyzing kinome array data to help users better understand the patterns of functional proteomics in complex biological systems. KRSA is an All-In-One tool that reads, formats, fits models, analyzes, and visualizes PamStation12 kinome data. While the underlying algorithm has been experimentally validated in previous publications, we demonstrate KRSA workflow on dorsolateral prefrontal cortex (DLPFC) in male (n = 3) and female (n = 3) subjects to identify differential phosphorylation signatures and upstream kinase activity. Kinase activity differences between males and females were compared to a previously published kinome dataset (11 female and 7 male subjects) which showed similar global phosphorylation signals patterns.

Indexed as

Multigene FamilySoftwareAlgorithmsAutopsyBenchmarkingDatasets as TopicDorsolateral Prefrontal CortexFemaleGene ExpressionHumansMalePhosphoproteinsPhosphorylationPrincipal Component AnalysisProtein Array AnalysisProtein Serine-Threonine KinasesPhosphoproteinsProtein Serine-Threonine KinasesProtein-Tyrosine Kinases

Identifiers

PMID34919543
PMCPMC8682895

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.