Evidence map›Paper›PMID 36540121›Full record

ArticleNanoscale advances2022

Snapshot imprinting as a tool for surface mapping and identification of novel biomarkers of senescent cells.

Elena Piletska, Dana Thompson, Rebecca Jones, Alvaro Garcia Cruz, Marta Poblocka, Francesco Canfarotta, Rachel Norman, Salvador Macip, Donald J L Jones, Sergey Piletsky

Abstract read
In one paragraph

Article in Nanoscale advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Therapy-Induced Senescence: Novel Approaches for Markers Identification.International journal of molecular sciences · 2024
    Review
  7. 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

10 authors.

Elena PiletskaChemistry Department, College of Science and Engineering, University of Leicester Leicester LE1 7RH UK sp523@le.ac.uk.
Dana ThompsonChemistry Department, College of Science and Engineering, University of Leicester Leicester LE1 7RH UK sp523@le.ac.uk.
Rebecca JonesChemistry Department, College of Science and Engineering, University of Leicester Leicester LE1 7RH UK sp523@le.ac.uk.
Alvaro Garcia CruzChemistry Department, College of Science and Engineering, University of Leicester Leicester LE1 7RH UK sp523@le.ac.uk.ORCID https://orcid.org/0000-0002-6732-0696
Marta PoblockaMechanisms of Cancer and Aging Laboratory, Department of Molecular and Cell Biology, University of Leicester Leicester LE1 7RH UK.
Francesco CanfarottaChemistry Department, College of Science and Engineering, University of Leicester Leicester LE1 7RH UK sp523@le.ac.uk.ORCID https://orcid.org/0000-0001-9837-100X
Rachel NormanFoodLab, Faculty of Health Sciences, Universitat Oberta de Catalunya 08018 Barcelona Spain.
Salvador MacipMechanisms of Cancer and Aging Laboratory, Department of Molecular and Cell Biology, University of Leicester Leicester LE1 7RH UK.ORCID https://orcid.org/0000-0003-1963-8840
Donald J L JonesDepartment of Cancer Studies, RKCSB, University of Leicester Leicester LE2 7LX UK.
Sergey PiletskyChemistry Department, College of Science and Engineering, University of Leicester Leicester LE1 7RH UK sp523@le.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cellular senescence has proved to be a strong contributor to ageing and age-related diseases, such as cancer and atherosclerosis. Therefore, the protein content of senescent cells is highly relevant to drug discovery, diagnostics and therapeutic applications. However, current technologies for the analysis of proteins are based on a combination of separation techniques and mass spectrometry, which require handling large sample sizes and a large volume of data and are time-consuming. This limits their application in personalised medicine. An easy, quick and inexpensive procedure is needed for qualitative and quantitative analysis of proteins expressed by a cell or tissue. Here, we describe the use of the "snapshot imprinting" approach for the identification of proteins differentially expressed by senescent cells. Molecularly imprinted polymer nanoparticles (MIPs) were formed in the presence of whole cells. Following trypsinolysis, protein epitopes protected by complex with MIPs were eluted from the nanoparticles and analysed by LC-MS/MS. In this work, "snapshot imprinting" was performed parallel to a standard proteomic "shaving approach", showing similar results. The analysis by "snapshot imprinting" identified three senescent-specific proteins: cell division cycle 7-related protein kinase, partitioning defective three homolog B and putative ATP-dependent RNA helicase DHX57, the abundance of which could potentially make them specific markers of senescence. Identifying biomarkers for the future elimination of senescent cells grants the potential for developing therapeutics for age-related diseases.

Identifiers

PMID36540121
PMCPMC9724690

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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.