ReviewNature protocols2026
Flexible high-resolution ECM micropatterning.
Review in Nature protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Spatial cues and cell-cell interactions within in vivo tissue architecture generate physical signals that regulate cell behavior. These mechanical interactions drive processes such as morphogenesis, homeostasis, regeneration and disease progression. To recapitulate these spatial niches in vitro, lithographic micropatterning allows for precise control over the geometry, composition, topography and mechanics of cell-adhesive substrates. Micropatterned cultures have been essential in uncovering key mechanotransduction mechanisms, including YAP/TAZ-mediated signaling, mechanoregulation in cancer, aging and early embryonic development. However, accessible and adaptable micropatterning protocols for conventional cell biology laboratories remain limited. In this protocol, we present a comprehensive procedure for generating flexible, high-resolution micropatterns (down to 10 × 10 µm
Identifiers
42129485What Socratic holds
Registered trials
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 Socratic graph.