Evidence map›Paper›PMID 31405033›Full record

ReviewInternational journal of molecular sciences2019

Secretomics to Discover Regulators in Diseases.

Parkyong Song, Yonghoon Kwon, Jae-Yeol Joo, Do-Geun Kim, Jong Hyuk Yoon

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2019. 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
2.1field-weighted citation impact, top 12% 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

23 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Biophysics reviews · 2022
    Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. Proteomics and its applications in breast cancer.American journal of cancer research · 2021
    Review
  18. Review
  19. Oxidative Phosphorylation Dysfunction Modifies the Cell Secretome.International journal of molecular sciences · 2020
    Review
  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

5 authors at 3 institutions in 1 country.

Parkyong SongDepartment of Convergence Medicine, Pusan National University School of Medicine, Yangsan 50612, Korea.
Yonghoon KwonDepartment of Life Sciences, Pohang University of Science and Technology, Pohang 37673, Korea.
Jae-Yeol JooNeurodegenerative Disease Research Group, Korea Brain Research Institute, Daegu 41062, Korea.
Do-Geun KimDementia Research Group, Korea Brain Research Institute, Daegu 41062, Korea.
Jong Hyuk YoonNeurodegenerative Disease Research Group, Korea Brain Research Institute, Daegu 41062, Korea. jhyoon@kbri.re.kr.
Korea Brain Research Institute · KRPohang University of Science and Technology · KRPusan National University · KR

Funding

Ministry of Education, Republic of Korea 2018R1D1A1B07043929Ministry of Science and ICT, Republic of Korea 18-BR-02-01National Cancer Center, Republic of Korea NCC 1810861-1Pusan National University Pusan National University Research Grant (to P.S)
6 · The paper itself

Abstract

Secretory proteins play important roles in the cross-talk of individual functional units, including cells. Since secretory proteins are essential for signal transduction, they are closely related with disease development, including metabolic and neural diseases. In metabolic diseases, adipokines, myokines, and hepatokines are secreted from respective organs under specific environmental conditions, and play roles in glucose homeostasis, angiogenesis, and inflammation. In neural diseases, astrocytes and microglia cells secrete cytokines and chemokines that play roles in neurotoxic and neuroprotective responses. Mass spectrometry-based secretome profiling is a powerful strategy to identify and characterize secretory proteins. This strategy involves stepwise processes such as the collection of conditioned medium (CM) containing secretome proteins and concentration of the CM, peptide preparation, mass analysis, database search, and filtering of secretory proteins; each step requires certain conditions to obtain reliable results. Proteomic analysis of extracellular vesicles has become a new research focus for understanding the additional extracellular functions of intracellular proteins. Here, we provide a review of the insights obtained from secretome analyses with regard to disease mechanisms, and highlight the future prospects of this technology. Continued research in this field is expected to provide valuable information on cell-to-cell communication and uncover new pathological mechanisms.

Indexed as

AnimalsChromatography, LiquidExtracellular VesiclesHumansMetabolic DiseasesNervous System DiseasesProteinsProteomicsTandem Mass SpectrometryVascular DiseasesProteinscytokineexosomeLC-MS/MSproteomicssecretomesecretomics

Identifiers

PMID31405033
PMCPMC6720857
OpenAlexW2967679764

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.