Evidence map›Paper›PMID 38701211›Full record

ArticleScience advances2024

Spatially resolved analysis of microenvironmental gradient impact on cancer cell phenotypes.

Jamie Auxillos, Roxane Crouigneau, Yan-Fang Li, Yifan Dai, Arnaud Stigliani, Isabella Tavernaro, Ute Resch-Genger, Albin Sandelin, Rodolphe Marie, Stine F Pedersen

Abstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Microengineered Gradient Hydrogels for Mechanobiology.Advanced healthcare materials · 2026
    Review
  5. Review
  6. Spatial architecture of development and disease.Nature reviews. Genetics · 2026
    Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. 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

10 authors.

Jamie AuxillosSection for Computational and RNA biology, Department of Biology, University of Copenhagen, Denmark.ORCID 0000-0002-9854-3235
Roxane CrouigneauSection for Cell Biology and Physiology, Department of Biology, University of Copenhagen, Denmark.ORCID 0000-0002-2840-2875
Yan-Fang LiDepartment of Health Technology, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark.ORCID 0000-0002-1487-365X
Yifan DaiSection for Computational and RNA biology, Department of Biology, University of Copenhagen, Denmark.ORCID 0000-0003-2768-2067
Arnaud StiglianiSection for Computational and RNA biology, Department of Biology, University of Copenhagen, Denmark.ORCID 0000-0002-9436-2787
Isabella TavernaroDivision Biophotonics, Bundesanstalt für Materialforschung und -prüfung, Richard-Willstaetter Str. 11, 12489, Berlin, Germany.
Ute Resch-GengerDivision Biophotonics, Bundesanstalt für Materialforschung und -prüfung, Richard-Willstaetter Str. 11, 12489, Berlin, Germany.
Albin SandelinSection for Computational and RNA biology, Department of Biology, University of Copenhagen, Denmark.ORCID 0000-0002-7109-7378
Rodolphe MarieDepartment of Health Technology, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark.ORCID 0000-0002-8338-1990
Stine F PedersenSection for Cell Biology and Physiology, Department of Biology, University of Copenhagen, Denmark.ORCID 0000-0002-3044-7714

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the physiological and pathophysiological significance of microenvironmental gradients, e.g., for diseases such as cancer, tools for generating such gradients and analyzing their impact are lacking. Here, we present an integrated microfluidic-based workflow that mimics extracellular pH gradients characteristic of solid tumors while enabling high-resolution live imaging of, e.g., cell motility and chemotaxis, and preserving the capacity to capture the spatial transcriptome. Our microfluidic device generates a pH gradient that can be rapidly controlled to mimic spatiotemporal microenvironmental changes over cancer cells embedded in a 3D matrix. The device can be reopened allowing immunofluorescence analysis of selected phenotypes, as well as the transfer of cells and matrix to a Visium slide for spatially resolved analysis of transcriptional changes across the pH gradient. This workflow is easily adaptable to other gradients and multiple cell types and can therefore prove invaluable for integrated analysis of roles of microenvironmental gradients in biology.

Indexed as

NeoplasmsPhenotypeTumor MicroenvironmentCell Line, TumorCell MovementChemotaxisHumansHydrogen-Ion ConcentrationMicrofluidic Analytical Techniques

Identifiers

PMID38701211
PMCPMC11068013

What OpenQuestion holds

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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.