ReviewBiomaterials2018
High-throughput approaches for screening and analysis of cell behaviors.
Review in Biomaterials, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 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
35 citing papers in PubMed.
- Immune-activating PTL/nanowire composite coating on Ti surface enables macrophage-driven bacterial clearance and osseointegration.Bioactive materials · 2026Article
- LFCT: A Benchmark Dataset for Low-Frame-Rate Cell Tracking in Long-Term Live-Cell Microscopy.bioRxiv : the preprint server for biology · 2026Article
- Review of Progress of AI in Biomimetics: From Biological Patterns to Closed-Loop Discovery.Biomimetics (Basel, Switzerland) · 2026Review
- Analyzing the Relationship between Solid-Phase Molecular Presentation and Cell Proliferation, Morphology and Secretion Using CellStudio.ACS applied materials & interfaces · 2026Article
- Review
- Empowering High Throughput Screening of 3D Models: Automated Dispensing of Cervical and Endometrial Cancer Cells.Cellular and molecular bioengineering · 2025Article
- Construction and high-throughput screening of gradient nanowire coatings on titanium surface towards ameliorated osseointegration.Materials today. Bio · 2025Article
- Integration of secreted signaling molecule sensing on cell monitoring platforms: a critical review.Analytical and bioanalytical chemistry · 2024Review
- Biomaterials for Cell Manufacturing.ACS macro letters · 2024Article
- Article
- Self-Assembled Block Copolymers as a Facile Pathway to Create Functional Nanobiosensor and Nanobiomaterial Surfaces.Polymers · 2024Review
- Digital Barcodes for High-Throughput Screening.Chem & bio engineering · 2024Review
- Stem cell-based approaches for developmental neurotoxicity testing.Frontiers in toxicology · 2024Review
- DeeP4med: deep learning for P4 medicine to predict normal and cancer transcriptome in multiple human tissues.BMC bioinformatics · 2023Article
- Immunomodulatory biomaterials for implant-associated infections: from conventional to advanced therapeutic strategies.Biomaterials research · 2022Review
- The Role of Interstitial Fluid Pressure in Cerebral Porous Biomaterial Integration.Brain sciences · 2022Article
- Automated Assessment of Cancer Drug Efficacy On Breast Tumor Spheroids in Aggrewell™400 Plates Using Image Cytometry.Journal of fluorescence · 2022Article
- Stem Cell Microarrays for Assessing Growth Factor Signaling in Engineered Glycan Microenvironments.Advanced healthcare materials · 2022Article
- High-Content Screening and Analysis of Stem Cell-Derived Neural Interfaces Using a Combinatorial Nanotechnology and Machine Learning Approach.Research (Washington, D.C.) · 2022Article
- Interactions Between Immunomodulatory Biomaterials and Immune Microenvironment: Cues for Immunomodulation Strategies in Tissue Repair.Frontiers in bioengineering and biotechnology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
The rapid development of new biomaterials and techniques to modify them challenge our capability to characterize them using conventional methods. In response, numerous high-throughput (HT) strategies are being developed to analyze biomaterials and their interactions with cells using combinatorial approaches. Moreover, these systematic analyses have the power to uncover effects of delivered soluble bioactive molecules on cell responses. In this review, we describe the recent developments in HT approaches that help identify cellular microenvironments affecting cell behaviors and highlight HT screening of biochemical libraries for gene delivery, drug discovery, and toxicological studies. We also discuss HT techniques for the analyses of cell secreted biomolecules and provide perspectives on the future utility of HT approaches in biomedical engineering.
Indexed as
Identifiers
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.