Evidence map›Paper›PMID 32290242›Full record

ArticleCells2020

Single-Cell Probe Force Studies to Identify Sox2 Overexpression-Promoted Cell Adhesion in MCF7 Breast Cancer Cells.

Jagoba Iturri, Andreas Weber, María dM Vivanco, José L Toca-Herrera

Open access · goldAbstract read
In one paragraph

Article in Cells, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Characterization of Breast Cancer Aggressiveness by Cell Mechanics.International journal of molecular sciences · 2023
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

4 authors at 2 institutions in 2 countries.

Jagoba IturriInstitute for Biophysics, Department of Nanobiotechnology (DNBT), BOKU University for Natural Resources and Life Sciences, Muthgasse 11 (Simon Zeisel Haus), A-1190 Vienna, Austria.ORCID 0000-0001-7392-5352
Andreas WeberInstitute for Biophysics, Department of Nanobiotechnology (DNBT), BOKU University for Natural Resources and Life Sciences, Muthgasse 11 (Simon Zeisel Haus), A-1190 Vienna, Austria.ORCID 0000-0001-6462-7687
María dM VivancoCancer Heterogeneity Lab, Center for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Bizkaia Technology Park, 48160 Derio, Spain.
José L Toca-HerreraInstitute for Biophysics, Department of Nanobiotechnology (DNBT), BOKU University for Natural Resources and Life Sciences, Muthgasse 11 (Simon Zeisel Haus), A-1190 Vienna, Austria.ORCID 0000-0001-8951-2616
BOKU University · ATCIC bioGUNE · ES

Funding

Austrian Science Fund FWF P 29562
6 · The paper itself

Abstract

The replacement of the cantilever tip by a living cell in Atomic Force Microscopy (AFM) experiments permits the direct quantification of cell-substrate and cell-cell adhesion forces. This single-cell probe force measurement technique, when complemented by microscopy, allows controlled manipulation of the cell with defined location at the area of interest. In this work, a setup based on two glass half-slides, a non-fouling one with bacterial S-layer protein SbpA from

Indexed as

Breast NeoplasmsCell AdhesionFemaleHumansMCF-7 CellsMicroscopy, Atomic ForceSOXB1 Transcription FactorsSOX2 protein, humanSOXB1 Transcription FactorsAFMcell adhesionepifluorescenceMCF7 cellssingle-cell probeSox2 overexpressionTIRF

Identifiers

PMID32290242
PMCPMC7227807
OpenAlexW3015771685

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.