ReviewBiochemistry2014
Deconstructing signaling in three dimensions.
Review in Biochemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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
26 citing papers in PubMed.
- Ru(II)-Fenamic-Based Complexes as Promising Human Ovarian Antitumor Agents: DNA Interaction, Cellular Uptake, and Three-Dimensional Spheroid Models.Inorganic chemistry · 2025Article
- Tumor Cell Spatial Organization Directs EGFR/RAS/RAF Pathway Primary Therapy Resistance through YAP Signaling.bioRxiv : the preprint server for biology · 2025Article
- Liver three-dimensional cellular models for high-throughput chemical testing.Cell reports methods · 2023Review
- Pro-Inflammatory Cytokines Trigger the Overexpression of Tumour-Related Splice Variant RAC1B in Polarized Colorectal Cells.Cancers · 2022Article
- Development of 2-D and 3-D culture platforms derived from decellularized nucleus pulposus.Frontiers in bioengineering and biotechnology · 2022Article
- Lipopolysaccharide-induced neuroinflammation disrupts functional connectivity and community structure in primary cortical microtissues.Scientific reports · 2021Article
- Tissue of Origin, but Not XCI State, Influences Germ Cell Differentiation from Human Pluripotent Stem Cells.Cells · 2021Article
- Emerging Technologies for In Vitro Inhalation Toxicology.Advanced healthcare materials · 2021Review
- Modeling pancreatic pathophysiology using genome editing of adult stem cell-derived and induced pluripotent stem cell (iPSC)-derived organoids.American journal of physiology. Gastrointestinal and liver physiology · 2021Review
- Next-Generation Human Liver Models for Antimalarial Drug Assays.Antibiotics (Basel, Switzerland) · 2021Review
- High-Throughput Methods in the Discovery and Study of Biomaterials and Materiobiology.Chemical reviews · 2021Review
- Current Perspective: 3D Spheroid Models Utilizing Human-Based Cells for Investigating Metabolism-Dependent Drug-Induced Liver Injury.Frontiers in medical technology · 2020Review
- Modeling Tissue Polarity in Context.Journal of molecular biology · 2018Review
- The Physical and Biochemical Properties of the Extracellular Matrix Regulate Cell Fate.Current topics in developmental biology · 2018Review
- Review
- Functional and Biomimetic Materials for Engineering of the Three-Dimensional Cell Microenvironment.Chemical reviews · 2017Review
- Integrin-mediated traction force enhances paxillin molecular associations and adhesion dynamics that increase the invasiveness of tumor cells into a three-dimensional extracellular matrix.Molecular biology of the cell · 2017Article
- PEG-peptide hydrogels reveal differential effects of matrix microenvironmental cues on melanoma drug sensitivity.Integrative biology : quantitative biosciences from nano to macro · 2017Article
- Measuring Cell Viscoelastic Properties Using a Microfluidic Extensional Flow Device.Biophysical journal · 2016Article
- The third dimension: new developments in cell culture models for colorectal research.Cellular and molecular life sciences : CMLS · 2016Review
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
Cells in vivo exist within the context of a multicellular tissue, where their behavior is governed by homo- and heterotypic cell-cell interactions, the material properties of the extracellular matrix, and the distribution of various soluble and physical factors. Most methods currently used to study and manipulate cellular behavior in vitro, however, sacrifice physiological relevance for experimental expediency. The fallacy of such approaches has been highlighted by the recent development and application of three-dimensional culture models to cell biology, which has revealed striking phenotypic differences in cell survival, migration, and differentiation in genetically identical cells simply by varying culture conditions. These perplexing findings beg the question of what constitutes a three-dimensional culture and why cells behave so differently in two- and three-dimensional culture formats. In the following review, we dissect the fundamental differences between two- and three-dimensional culture conditions. We begin by establishing a basic definition of what "three dimensions" means at different biological scales and discuss how dimensionality influences cell signaling across different length scales. We identify which three-dimensional features most potently influence intracellular signaling and distinguish between conserved biological principles that are maintained across culture conditions and cellular behaviors that are sensitive to microenvironmental context. Finally, we highlight state-of-the-art molecular tools amenable to the study of signaling in three dimensions under conditions that facilitate deconstruction of signaling in a more physiologically relevant manner.
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What OpenQuestion 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 OpenQuestion graph.