Evidence map›Paper›PMID 31380197›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2019

Driving Cells with Light-Controlled Topographies.

Alberto Puliafito, Serena Ricciardi, Federica Pirani, Viktorie Čermochová, Luca Boarino, Natascia De Leo, Luca Primo, Emiliano Descrovi

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.3field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 35 citations in OpenAlex.

  1. Photo-guided azopolymer hydrogel actuators.Light, science & applications · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Advances in Regulating Cellular Behavior Using Micropatterns.The Yale journal of biology and medicine · 2023
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. Driving Cells with Light-Controlled Topographies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2019
    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

8 authors at 3 institutions in 4 countries.

Alberto PuliafitoCandiolo Cancer Institute FPO-IRCCS Candiolo Turin 10060 Italy.
Serena RicciardiDepartment of Applied Science and Technology Polytechnic University of Turin C.so Duca degli Abruzzi 24 Turin 10129 Italy.
Federica PiraniDepartment of Applied Science and Technology Polytechnic University of Turin C.so Duca degli Abruzzi 24 Turin 10129 Italy.
Viktorie ČermochováDepartment of Applied Science and Technology Polytechnic University of Turin C.so Duca degli Abruzzi 24 Turin 10129 Italy.
Luca BoarinoQuantum Research Labs & Nanofacility Piemonte Nanoscience & Materials Division Istituto Nazionale di Ricerca Metrologica Strada delle Cacce 91 Turin 10135 Italy.
Natascia De LeoQuantum Research Labs & Nanofacility Piemonte Nanoscience & Materials Division Istituto Nazionale di Ricerca Metrologica Strada delle Cacce 91 Turin 10135 Italy.
Luca PrimoCandiolo Cancer Institute FPO-IRCCS Candiolo Turin 10060 Italy.
Emiliano DescroviDepartment of Applied Science and Technology Polytechnic University of Turin C.so Duca degli Abruzzi 24 Turin 10129 Italy.ORCID https://orcid.org/0000-0002-3613-2967
Politecnico di Torino · ITDepartment of Medical Sciences · BYIstituto Nazionale di Ricerca Metrologica · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell-substrate interactions can modulate cellular behaviors in a variety of biological contexts, including development and disease. Light-responsive materials have been recently proposed to engineer active substrates with programmable topographies directing cell adhesion, migration, and differentiation. However, current approaches are affected by either fabrication complexity, limitations in the extent of mechanical stimuli, lack of full spatio-temporal control, or ease of use. Here, a platform exploiting light to plastically deform micropatterned polymeric substrates is presented. Topographic changes with remarkable relief depths in the micron range are induced in parallel, by illuminating the sample at once, without using raster scanners. In few tens of seconds, complex topographies are instructed on demand, with arbitrary spatial distributions over a wide range of spatial and temporal scales. Proof-of-concept data on breast cancer cells and normal kidney epithelial cells are presented. Both cell types adhere and proliferate on substrates without appreciable cell damage upon light-induced substrate deformations. User-provided mechanical stimulation aligns and guides cancer cells along the local deformation direction and constrains epithelial colony growth by biasing cell division orientation. This approach is easy to implement on general-purpose optical microscopy systems and suitable for use in cell biology in a wide variety of applications.

Indexed as

cell‐instructive substratescell migrationcell orientationlight‐responsive polymersoptical manipulation

Identifiers

PMID31380197
PMCPMC6661947
OpenAlexW2946062573

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.