ReviewNature protocols2026
Aspiration-assisted bioprinting of spheroids.
Review in Nature protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Advances in 3D Bioprinting for Scaffold-Based and Scaffold-Free Tissue Engineering and Regenerative Medicine.Gels (Basel, Switzerland) · 2026Review
- Challenges and opportunities in generating microvasculature using bioprinting techniques.npj biomedical innovations · 2026Review
- From microtissues to macro solutions - The future of scalable and automated cartilage tissue engineering.Journal of orthopaedic translation · 2026Review
- Three-tier framework for high-throughput biofabrication: Integrating 3D bioprinting, assistive platforms, and translational opportunities.Bioactive materials · 2026Review
- Bioprinted Ventilated 3D Alveoliform Epithelial Sacculoids.Research square · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Aspiration-assisted bioprinting (AAB) is a versatile biofabrication technique that enables the precise and selective patterning of biologics, such as tissue spheroids and organoids, addressing limitations of conventional bioprinting techniques. AAB facilitates the fabrication of (1) tissues with physiologically relevant cell densities using spheroids and (2) advanced tissue models that replicate three-dimensional microenvironments essential for studying cellular responses, disease development and drug testing. Here we provide reliable and reproducible guidelines for the precise positioning of abovementioned biologics, incorporating two operational modes: (1) a single-nozzle mode for precise, one-by-one bioprinting and (2) a high-throughput mode using a digitally controllable nozzle array, enabling the rapid and simultaneous placement of multiple spheroids for scalable tissue fabrication. Comprehensive instructions are included for setting up the AAB platform, operating software and key operational procedures, including optimization of bioprinting conditions. This Protocol enables users to build and operate their own AAB platform depending on target applications, achieving fine control over spheroid positioning through successful aspiration and their precise placement under optimized conditions. This Protocol enables the setup of the AAB platform within 1-2 d. Bioprinting time varies depending on the number of spheroids to bioprint: the single-nozzle mode requires ~30 s per spheroid, while the high-throughput mode can print 64 spheroids in 3-4 min. Designed for accessibility and adaptability, this Protocol is suitable for users from a variety of backgrounds, including engineering, biology, pharmacy and medical sciences, who require bioprinting of spheroids for creating microphysiological systems for drug testing and disease modeling and implantable grafts for regenerative medicine.
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.