ReviewAnnual review of biomedical engineering2018
Engineering Approaches to Study Cellular Decision Making.
Review in Annual review of biomedical engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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.
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
14 citing papers in PubMed.
- Matrix stiffness boosts PDAC chemoresistance via SCD1-dependent lipid metabolic reprogramming.Regenerative biomaterials · 2025Article
- The effects of matrix stiffness on immune cells in bone biology.Mechanobiology in medicine · 2024Review
- The Construction of Three-Layered Biomimetic Arterial Graft Balances Biomechanics and Biocompatibility for Dynamic Biological Reconstruction.ACS omega · 2024Article
- The mechanics of the retina: Müller glia role on retinal extracellular matrix and modelling.Frontiers in medicine · 2024Review
- An overview of substrate stiffness guided cellular response and its applications in tissue regeneration.Bioactive materials · 2022Review
- STIM1, STIM2, and PDI Participate in Cellular Fate Decisions in Low Energy Availability Induced by 3-NP in Male Rats.Neurotoxicity research · 2021Article
- Simple, Affordable, and Modular Patterning of Cells using DNA.Journal of visualized experiments : JoVE · 2021Article
- 3D Reconstruction of the Clarified Rat Hindbrain Choroid Plexus.Frontiers in cell and developmental biology · 2021Article
- Review
- Interleukin 17 and senescent cells regulate the foreign body response to synthetic material implants in mice and humans.Science translational medicine · 2020Article
- The Many Microenvironments of Ovarian Cancer.Advances in experimental medicine and biology · 2020Review
- Hypothesis: Caco-2 cell rotational 3D mechanogenomic turing patterns have clinical implications to colon crypts.Journal of cellular and molecular medicine · 2018Article
- Investigation of wound healing process guided by nano-scale topographic patterns integrated within a microfluidic system.PloS one · 2018Article
- Insights From the Ecology of Information to Cancer Control.Cancer control : journal of the Moffitt Cancer CenterArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
In their native environment, cells are immersed in a complex milieu of biochemical and biophysical cues. These cues may include growth factors, the extracellular matrix, cell-cell contacts, stiffness, and topography, and they are responsible for regulating cellular behaviors such as adhesion, proliferation, migration, apoptosis, and differentiation. The decision-making process used to convert these extracellular inputs into actions is highly complex and sensitive to changes both in the type of individual cue (e.g., growth factor dose/level, timing) and in how these individual cues are combined (e.g., homotypic/heterotypic combinations). In this review, we highlight recent advances in the development of engineering-based approaches to study the cellular decision-making process. Specifically, we discuss the use of biomaterial platforms that enable controlled and tailored delivery of individual and combined cues, as well as the application of computational modeling to analyses of the complex cellular decision-making networks.
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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 OpenQuestion graph.