Evidence map›Paper›PMID 37709831›Full record

ArticleScientific reports2023

In-depth proteome analysis of brain tissue from Ewsr1 knockout mouse by multiplexed isobaric tandem mass tag labeling.

Jin Woo Jung, Hyeyoon Kim, Joonho Park, Jongmin Woo, Eunji Jeon, Geeeun Lee, Minseo Park, Sarang Kim, Hoseok Seo, Seongmin Cheon and 4 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. 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

14 authors at 7 institutions in 3 countries.

Jin Woo Jung *Proteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital, Seoul, 03082, South Korea.
Hyeyoon Kim *Proteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital, Seoul, 03082, South Korea.
Joonho ParkDepartment of Pharmacology, CHA University College of Medicine, Pocheon-si, 11160, South Korea.
Jongmin WooCenter for Translational Biomedical Research, North Carolina Research Campus, University of North Carolina at Greensboro, Kannapolis, NC, 28081, USA.
Eunji JeonProteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital, Seoul, 03082, South Korea.
Geeeun LeeTransdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul, 03082, South Korea.
Minseo ParkTransdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul, 03082, South Korea.
Sarang KimTransdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul, 03082, South Korea.
Hoseok SeoTransdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul, 03082, South Korea.
Seongmin CheonProteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital, Seoul, 03082, South Korea.
Kisoon DanProteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital, Seoul, 03082, South Korea.
Junghee LeeBoston University Alzheimer's Disease Center and Department of Neurology, Boston University School of Medicine, Boston, MA, 02118, USA.
Hoon RyuBoston University Alzheimer's Disease Center and Department of Neurology, Boston University School of Medicine, Boston, MA, 02118, USA. honnryu@kist.re.kr.
Dohyun HanProteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital, Seoul, 03082, South Korea. hdh03@snu.ac.kr.
Seoul National University Hospital · KRSeoul National University · KRBoston University · USCHA University · KRKorean Association Of Science and Technology Studies · KRNational University College · PRUniversity of North Carolina at Greensboro · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

EWS RNA binding protein 1 (EWSR1) is a multifunctional protein whose epigenetic signatures contribute to the pathogenesis of various human diseases, such as neurodegenerative disorders, skin development, and tumorigenic processes. However, the specific cellular functions and physiological characteristics of EWSR1 remain unclear. In this study, we used quantitative mass spectrometry-based proteomics with tandem mass tag labeling to investigate the global proteome changes in brain tissue in Ewsr1 knockout and wild-type mice. From 9115 identified proteins, we selected 118 differentially expressed proteins, which is common to three quantitative data processing strategies including only protein level normalizations and spectrum-protein level normalization. Bioinformatics analysis of these common differentially expressed proteins revealed that proteins up-regulated in Ewsr1 knockout mouse are mostly related to the positive regulation of bone remodeling and inflammatory response. The down-regulated proteins were associated with the regulation of neurotransmitter levels or amino acid metabolic processes. Collectively, these findings provide insight into the physiological function and pathogenesis of EWSR1 on protein level. Better understanding of EWSR1 and its protein interactions will advance the field of clinical research into neuronal disorders. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD026994.

Indexed as

BrainProteomeAnimalsBone RemodelingHumansMiceMice, KnockoutRNA-Binding Protein EWSEwsr1 protein, mouseProteomeRNA-Binding Protein EWS

Identifiers

PMID37709831
PMCPMC10502055
OpenAlexW4386739310

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.