Evidence map›Paper›PMID 22314635›Full record

ArticleIntegrative biology : quantitative biosciences from nano to macro2012

Epithelial cell guidance by self-generated EGF gradients.

Cally Scherber, Alexander J Aranyosi, Birte Kulemann, Sarah P Thayer, Mehmet Toner, Othon Iliopoulos, Daniel Irimia

Abstract read
In one paragraph

Article in Integrative biology : quantitative biosciences from nano to macro, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

  1. Nongenetic adaptation by collective migration.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. pH-regulated single cell migration.Pflugers Archiv : European journal of physiology · 2024
    Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Collective behavior and nongenetic inheritance allow bacterial populations to adapt to changing environments.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  8. Article
  9. Analysis of barotactic and chemotactic guidance cues on directional decision-making ofProceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Cell-Cell Contact and Receptor Tyrosine Kinase Signaling.Cold Spring Harbor perspectives in biology · 2018
    Review
  16. Article
  17. Moving in and Out: Dispersion of Cells in Self-Generated Gradients.Journal of clinical & cellular immunology · 2017
    Article
  18. Article
  19. Review
  20. 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

7 authors.

Cally ScherberSurgical Services and BioMEMS Resource Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Alexander J Aranyosi
Birte Kulemann
Sarah P Thayer
Mehmet Toner
Othon Iliopoulos
Daniel Irimia

Funding

The RAS and P13K Pathways in Pancreatic AdenocarcinomaP01CA117969 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DEPINHO, RONALD ANTHONY · 2006 to 2025
$41.7M
Bio-MicroElectroMechanical Systems Resource CenterP41EB002503 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI TONER, MEHMET · 2004 to 2018
$17.4M
Identification of Biomarkers for Early Detection of Renal Cell CarcinomaR01CA122591 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI ILIOPOULOS, OTHON · 2008 to 2012
$2.4M
Hypoxia-induced Metabolic Changes in CancerR01CA160458 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI ILIOPOULOS, OTHON, STEPHANOPOULOS, GREGORY · 2012 to 2016
$1.6M
Quantitative Analysis of Cancer Cell Motility using Microfluidic DevicesR21CA135601 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI IRIMIA, DANIEL · 2010 to 2011
$418k
NCI NIH HHS CA117969NCI NIH HHS CA135601NCI NIH HHS P01 CA117969NCI NIH HHS R01 CA122591NCI NIH HHS R01 CA160458NCI NIH HHS R21 CA135601NIBIB NIH HHS EB002503NIBIB NIH HHS P41 EB002503
6 · The paper itself

Abstract

Cancer epithelial cells often migrate away from the primary tumor to invade into the surrounding tissues. Their migration is commonly assumed to be directed by pre-existent spatial gradients of chemokines and growth factors in the target tissues. Unexpectedly however, we found that the guided migration of epithelial cells is possible in vitro in the absence of pre-existent chemical gradients. We observed that both normal and cancer epithelial cells can migrate persistently and reach the exit along the shortest path from microscopic mazes filled with uniform concentrations of media. Using microscale engineering techniques and biophysical models, we uncovered a self-guidance strategy during which epithelial cells generate their own guiding cues under conditions of biochemical confinement. The self-guidance strategy depends on the balance between three interdependent processes: epidermal growth factor (EGF) uptake by the cells (U), the restricted transport of EGF through the structured microenvironment (T), and cell chemotaxis toward the resultant EGF gradients (C). The UTC self-guidance strategy can be perturbed by inhibition of signalling through EGF-receptors and appears to be independent from chemokine signalling. Better understanding of the UTC self-guidance strategy could eventually help devise new ways for modulating epithelial cell migration and delaying cancer cell invasion or accelerating wound healing.

Indexed as

AnimalsBiological Transport, ActiveCell Line, TumorCell MovementChemotaxisEpidermal Growth FactorEpithelial CellsHumansMiceMice, Inbred C57BLMice, NudeMicrofluidic Analytical TechniquesModels, BiologicalNeoplasm InvasivenessSystems BiologyTumor MicroenvironmentEpidermal Growth Factor

Identifiers

PMID22314635
PMCPMC3440622

What OpenQuestion holds

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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.