Evidence map›Paper›PMID 33377090›Full record

ArticleSTAR protocols2020

Protocol for the Bottom-Up Proteomic Analysis of Mouse Spleen.

Paul Dowling, Stephen Gargan, Margit Zweyer, Michael Henry, Paula Meleady, Dieter Swandulla, Kay Ohlendieck

Abstract read
In one paragraph

Article in STAR protocols, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Serum protein biomarker signature of Duchenne muscular dystrophy.European journal of translational myology · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Proteomic profiling of the brain from theEuropean journal of translational myology · 2023
    Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Bioinformatic Analysis of the Subproteomic Profile of Cardiomyopathic Tissue.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  16. Identification of Subproteomic Markers for Skeletal Muscle Profiling.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  17. Top-Down Proteomics and Comparative 2D-DIGE Analysis.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  18. Article
  19. Article
  20. Review
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.

Paul DowlingDepartment of Biology, Maynooth University, National University of Ireland, Maynooth W23F2H6, Co. Kildare, Ireland.
Stephen GarganDepartment of Biology, Maynooth University, National University of Ireland, Maynooth W23F2H6, Co. Kildare, Ireland.
Margit ZweyerDepartment of Neonatology and Paediatric Intensive Care, Children's Hospital, University of Bonn, D53113 Bonn, Germany.
Michael HenryNational Institute for Cellular Biotechnology, Dublin City University, Dublin 9, Ireland.
Paula MeleadyNational Institute for Cellular Biotechnology, Dublin City University, Dublin 9, Ireland.
Dieter SwandullaInstitute of Physiology II, University of Bonn, D53115 Bonn, Germany.
Kay OhlendieckDepartment of Biology, Maynooth University, National University of Ireland, Maynooth W23F2H6, Co. Kildare, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This protocol describes the comparative proteomic profiling of the spleen of wild type versus

Indexed as

AnimalsComputational BiologyDystrophinMass SpectrometryMiceMice, Inbred mdxProteolysisProteomeProteomicsSpecimen HandlingSpleenDystrophinProteomeHigh Throughput ScreeningMass SpectrometryModel OrganismsProtein BiochemistryProteomics

Identifiers

PMID33377090
PMCPMC7757555

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.