ArticleTissue engineering. Part C, Methods2017
The Effect of Hypothermic and Cryogenic Preservation on Engineered Neural Tissue.
Article in Tissue engineering. Part C, Methods, 2017. 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, 28 citations in OpenAlex.
- An improved preservation method for human dorsal root ganglion neurons enables wider access to human molecular pain neuroscience.Cell reports methods · 2026Article
- Cryopreservation of biological materials: applications and economic perspectives.In vitro cellular & developmental biology. Animal · 2026Review
- Cryopreserved Tissue Biospecimens Offer Superior Quality for Whole-Genome Sequencing of Various Cancers Compared to Paired Formalin-Fixed Paraffin-Embedded Tissues.International journal of molecular sciences · 2025Article
- Enabling wider access to human molecular neuroscience research in pain: A simple preservation method for human dorsal root ganglion neurons in Hibernate A media.bioRxiv : the preprint server for biology · 2025Article
- Toward standardized brain tumor tissue processing protocols in neuro-oncology: a perspective for gliomas and beyond.Frontiers in oncology · 2024Article
- 'EngNT' - Engineering live neural tissue for nerve replacement.Emerging topics in life sciences · 2021Article
- Characteristics of neural growth and cryopreservation of the dorsal root ganglion using three-dimensional collagen hydrogel cultureNeural regeneration research · 2021Article
- Winter is coming: the future of cryopreservation.BMC biology · 2021Review
- Hypothermic and cryogenic preservation of tissue-engineered human bone.Annals of the New York Academy of Sciences · 2020Article
- Biomaterials for stem cell engineering and biomanufacturing.Bioactive materials · 2019Review
- Layer-By-Layer: The Case for 3D Bioprinting Neurons to Create Patient-Specific Epilepsy Models.Materials (Basel, Switzerland) · 2019Review
- Long-Term Cryopreservation and Revival of Tissue-Engineered Skeletal Muscle.Tissue engineering. Part A · 2019Article
- Article
- Biopreservation of living tissue engineered nerve grafts.Journal of tissue engineeringArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
This study explored different approaches to preserve engineered neural tissue (EngNT), a stabilized, cellular collagen hydrogel containing columns of aligned Schwann cells for nervous system repair. The ability to preserve EngNT without disrupting cellular and extracellular components and structures is important for clinical translation and commercialization. Stabilized cellular gels and EngNT constructs were preserved under various conditions and cell survival assessed using live/dead microscopy and metabolic assay. Optimal survival was recorded in hypothermic (4°C) conditions for 2-3 days using Hibernate
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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.