Evidence map›Paper›PMID 33317179›Full record

ArticleCancers2020

Single Cell Detection of the p53 Protein by Mass Cytometry.

Oda Helen Eck Fagerholt, Monica Hellesøy, Stein-Erik Gullaksen, Bjørn Tore Gjertsen

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2020. 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
0.3field-weighted citation impact, top 42% 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, 7 citations in OpenAlex.

  1. Review
  2. 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

4 authors at 2 institutions in 1 country.

Oda Helen Eck FagerholtCentre for Cancer Biomarkers (CCBIO), Department of Clinical Science, University of Bergen, 5007 Bergen, Norway.
Monica HellesøyDepartment of Internal Medicine, Hematology Section, Haukeland University Hospital, 5021 Bergen, Norway.
Stein-Erik GullaksenDepartment of Internal Medicine, Hematology Section, Haukeland University Hospital, 5021 Bergen, Norway.ORCID 0000-0002-8512-9297
Bjørn Tore GjertsenCentre for Cancer Biomarkers (CCBIO), Department of Clinical Science, University of Bergen, 5007 Bergen, Norway.ORCID 0000-0001-9358-9704
Haukeland University Hospital · NOUniversity of Bergen · NO

Funding

Bergens Forskningsstiftelse 239837Kreftforeningen 144345-2014
6 · The paper itself

Abstract

purposeThe p53 protein and its post-translational modifications are distinctly expressed in various normal cell types and malignant cells and are usually detected by immunohistochemistry and flow cytometry in contemporary diagnostics. Here, we describe an approach for simultaneous multiparameter detection of p53, its post-translational modifications and p53 pathway-related signaling proteins in single cells using mass cytometry.

methodWe conjugated p53-specific antibodies to metal tags for detection by mass cytometry, allowing the detection of proteins and their post-translational modifications in single cells. We provide an overview of the antibody validation process using relevant biological controls, including cell lines treated in vitro with a stimulus (irradiation) known to induce changes in the expression level of p53. Finally, we present the potential of the method through investigation of primary samples from leukemia patients with distinct

resultsThe p53 protein can be detected in cell lines and in primary samples by mass cytometry. By combining antibodies for p53-related signaling proteins with a surface marker panel, we show that mass cytometry can be used to decipher the single cell p53 signaling pathway in heterogeneous patient samples.

conclusionSingle cell profiling by mass cytometry allows the investigation of the p53 functionality through examination of relevant downstream signaling proteins in normal and malignant cells. Our work illustrates a novel approach for single cell profiling of p53.

Indexed as

antibodiesmass cytometryp53

Identifiers

PMID33317179
PMCPMC7764694
OpenAlexW3111675335

What OpenQuestion holds

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LicenceCC BY
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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.