Evidence map›Paper›PMID 34588485›Full record

Observational studyScientific reports2021

Proteomic and molecular dynamic investigations of PTM-induced structural fluctuations in breast and ovarian cancer.

Dmitry Tikhonov, Liudmila Kulikova, Arthur T Kopylov, Vladimir Rudnev, Alexander Stepanov, Kristina Malsagova, Alexander Izotov, Dmitry Kulikov, Alexey Zulkarnaev, Dmitry Enikeev and 2 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

13 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Plasma proteome fingerprint in kidney diseases.Frontiers in molecular biosciences · 2024
    Article
  8. Review
  9. Review
  10. PSSNet-An Accurate Super-Secondary Structure for Protein Segmentation.International journal of molecular sciences · 2022
    Article
  11. Article
  12. Review
  13. Current Approaches in Supersecondary Structures Investigation.International journal of molecular sciences · 2021
    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

12 authors at 4 institutions in 1 country.

Dmitry TikhonovInstitute of Mathematical Problems of Biology RAS-the Branch of Keldysh Institute of Applied Mathematics of Russian Academy of Sciences, 142290, Pushchino, Moscow Region, Russia.
Liudmila KulikovaInstitute of Mathematical Problems of Biology RAS-the Branch of Keldysh Institute of Applied Mathematics of Russian Academy of Sciences, 142290, Pushchino, Moscow Region, Russia.
Arthur T KopylovV.N. Orekhovich Institute of Biomedical Chemistry, 119121, Moscow, Russia. a.t.kopylov@gmail.com.
Vladimir RudnevInstitute of Theoretical and Experimental Biophysics, Russian Academy of Sciences, 142290, Pushchino, Moscow Region, Russia.
Alexander StepanovV.N. Orekhovich Institute of Biomedical Chemistry, 119121, Moscow, Russia.
Kristina MalsagovaV.N. Orekhovich Institute of Biomedical Chemistry, 119121, Moscow, Russia.
Alexander IzotovV.N. Orekhovich Institute of Biomedical Chemistry, 119121, Moscow, Russia.
Dmitry KulikovMoscow Regional Research and Clinical Institute, Russian Federation, 129110, Moscow, Russia.
Alexey ZulkarnaevMoscow Regional Research and Clinical Institute, Russian Federation, 129110, Moscow, Russia.
Dmitry EnikeevInstitute of Urology and Reproductive Health, Sechenov University, 119121, Moscow, Russia.
Natalia PotoldykovaInstitute of Urology and Reproductive Health, Sechenov University, 119121, Moscow, Russia.
Anna L KayshevaV.N. Orekhovich Institute of Biomedical Chemistry, 119121, Moscow, Russia.
Institute of Biomedical Chemistry · RUInstitute of Mathematical Problems of Biology · RUMoscow Regional Research Institute of Obstetrics and Gynecology · RUSechenov University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Post-translational processing leads to conformational changes in protein structure that modulate molecular functions and change the signature of metabolic transformations and immune responses. Some post-translational modifications (PTMs), such as phosphorylation and acetylation, are strongly related to oncogenic processes and malignancy. This study investigated a PTM pattern in patients with gender-specific ovarian or breast cancer. Proteomic profiling and analysis of cancer-specific PTM patterns were performed using high-resolution UPLC-MS/MS. Structural analysis, topology, and stability of PTMs associated with sex-specific cancers were analyzed using molecular dynamics modeling. We identified highly specific PTMs, of which 12 modified peptides from eight distinct proteins derived from patients with ovarian cancer and 6 peptides of three proteins favored patients from the group with breast cancer. We found that all defined PTMs were localized in the compact and stable structural motifs exposed outside the solvent environment. PTMs increase the solvent-accessible surface area of the modified moiety and its active environment. The observed conformational fluctuations are still inadequate to activate the structural degradation and enhance protein elimination/clearance; however, it is sufficient for the significant modulation of protein activity.

Indexed as

Gene Expression Regulation, NeoplasticProtein Processing, Post-TranslationalAdultBreast NeoplasmsCase-Control StudiesChromatography, High Pressure LiquidFemaleHealthy VolunteersHumansMiddle AgedMolecular Dynamics SimulationOvarian NeoplasmsProtein ConformationProteomicsStructure-Activity RelationshipTandem Mass Spectrometry

Identifiers

PMID34588485
PMCPMC8481388
OpenAlexW3204076677

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.