Evidence map›Paper›PMID 33277362›Full record

ArticleThe Journal of biological chemistry

Global proteomics of Ubqln2-based murine models of ALS.

Alexandra M Whiteley, Miguel A Prado, Stefanie A H de Poot, Joao A Paulo, Marissa Ashton, Sara Dominguez, Martin Weber, Hai Ngu, John Szpyt, Mark P Jedrychowski and 6 more

Open access · hybridAbstract read
In one paragraph

Article in The Journal of biological chemistry. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
1.6field-weighted citation impact, top 16% of its field
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

36 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Review
  18. Article
  19. Article
  20. International journal of molecular sciences · 2024
    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

16 authors at 3 institutions in 2 countries.

Alexandra M WhiteleyDepartment of Cell Biology, Harvard Medical School, Boston, Massachusetts, USA.
Miguel A PradoDepartment of Cell Biology, Harvard Medical School, Boston, Massachusetts, USA.
Stefanie A H de PootDepartment of Cell Biology, Harvard Medical School, Boston, Massachusetts, USA.
Joao A PauloDepartment of Cell Biology, Harvard Medical School, Boston, Massachusetts, USA.
Marissa AshtonDepartment of Cell Biology, Harvard Medical School, Boston, Massachusetts, USA.
Sara DominguezDepartment of Neuroscience, Genentech Inc, South San Francisco, California, USA.
Martin WeberDepartment of Neuroscience, Genentech Inc, South San Francisco, California, USA.
Hai NguDepartment of Pathology, Genentech Inc, South San Francisco, California, USA.
John SzpytDepartment of Cell Biology, Harvard Medical School, Boston, Massachusetts, USA.
Mark P JedrychowskiDepartment of Cell Biology, Harvard Medical School, Boston, Massachusetts, USA.
Amy EastonDepartment of Neuroscience, Genentech Inc, South San Francisco, California, USA.
Steven P GygiDepartment of Cell Biology, Harvard Medical School, Boston, Massachusetts, USA.
Thimo KurzHenry Wellcome Lab of Cell Biology, College of Medical, Veterinary and Life Sciences, Institute of Molecular, Cell and Systems Biology, University of Glasgow, Glasgow, United Kingdom.
Mervyn J MonteiroCenter for Biomedical Engineering and Technology, Department of Anatomy and Neurobiology, University of Maryland Medical School, Baltimore, Maryland, USA.
Eric J BrownDepartment of Immunology and Infectious Diseases, Genentech Inc, South San Francisco, California, USA.
Daniel FinleyDepartment of Cell Biology, Harvard Medical School, Boston, Massachusetts, USA. Electronic address: Daniel_finley@hms.harvard.edu.
Harvard University · USUniversity of Glasgow · GBUniversity of Maryland, Baltimore · US

Funding

New Sample Multiplexing Technologies to Identify Chemical Probes and Illuminate Ubiquitin BiologyR01GM067945 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI GYGI, STEVEN P · 2003 to 2024
$10.5M
UBIQUITIN-PROTEIN CONJUGATES AND FUSIONSR01GM043601 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI FINLEY, DANIEL J · 1990 to 2020
$4.3M
Mechanistic studies and therapeutics for ALS/FTD linked to UBQLN2 mutationsR01NS098243 · NINDS · UNIVERSITY OF MARYLAND BALTIMORE · PI Mervyn J Monteiro · 2017 to 2026
$4.0M
Deciphering the role of ER stress in ALS pathogenesis caused by UBQLN2 mutationsR01NS100008 · NINDS · UNIVERSITY OF MARYLAND BALTIMORE · PI MONTEIRO, MERVYN J · 2017 to 2021
$2.7M
Advancing Multiplexed Isobaric Tag-based Strategies for Proteome ProfilingR01GM132129 · NIGMS · HARVARD MEDICAL SCHOOL · PI PAULO, JOAO A · 2019 to 2023
$1.7M
NIGMS NIH HHS R01 GM043601NIGMS NIH HHS R01 GM067945NIGMS NIH HHS R01 GM132129NINDS NIH HHS R01 NS098243NINDS NIH HHS R01 NS100008
6 · The paper itself

Abstract

Familial neurodegenerative diseases commonly involve mutations that result in either aberrant proteins or dysfunctional components of the proteolytic machinery that act on aberrant proteins. UBQLN2 is a ubiquitin receptor of the UBL/UBA family that binds the proteasome through its ubiquitin-like domain and is thought to deliver ubiquitinated proteins to proteasomes for degradation. UBQLN2 mutations result in familial amyotrophic lateral sclerosis (ALS)/frontotemporal dementia in humans through an unknown mechanism. Quantitative multiplexed proteomics was used to provide for the first time an unbiased and global analysis of the role of Ubqln2 in controlling the composition of the proteome. We studied several murine models of Ubqln2-linked ALS and also generated Ubqln2 null mutant mice. We identified impacts of Ubqln2 on diverse physiological pathways, most notably serotonergic signaling. Interestingly, we observed an upregulation of proteasome subunits, suggesting a compensatory response to diminished proteasome output. Among the specific proteins whose abundance is linked to UBQLN2 function, the strongest hits were the ubiquitin ligase TRIM32 and two retroelement-derived proteins, PEG10 and CXX1B. Cycloheximide chase studies using induced human neurons and HEK293 cells suggested that PEG10 and TRIM32 are direct clients. Although UBQLN2 directs the degradation of multiple proteins via the proteasome, it surprisingly conferred strong protection from degradation on the Gag-like protein CXX1B, which is expressed from the same family of retroelement genes as PEG10. In summary, this study charts the proteomic landscape of ALS-related Ubqln2 mutants and identifies candidate client proteins that are altered in vivo in disease models and whose degradation is promoted by UBQLN2.

Indexed as

Adaptor Proteins, Signal TransducingAmyotrophic Lateral SclerosisAnimalsApoptosis Regulatory ProteinsAutophagy-Related ProteinsCell LineCycloheximideDisease Models, AnimalDNA-Binding ProteinsFrontotemporal DementiaGene Expression RegulationHEK293 CellsHumansMaleMiceMice, KnockoutAdaptor Proteins, Signal TransducingApoptosis Regulatory ProteinsAutophagy-Related ProteinsCxxc1 protein, mouseCycloheximideDNA-Binding ProteinsPeg10 protein, mouseProteasome Endopeptidase ComplexRNA-Binding ProteinsSerotoninTrans-ActivatorsTRIM32 protein, mouseUbiquitin-Protein LigasesUBQLN2 protein, humanUBQLN2 protein, mouseALSneurodegenerationproteasomeproteomicsubiquitinubiquitin ligaseUBQLN2

Identifiers

PMID33277362
PMCPMC7873701
OpenAlexW3108142999

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.