ReviewBiodesign research2026
Advances in luminescence-based tracing technologies: applications and future perspectives.
Review in Biodesign research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Expanding agroinfiltration host range with broad-spectrum effectors monitored by autoluminescent reporter.Horticulture research · 2026Article
- Sustainable bioenergy manufacturing in plants.Plant communications · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Luminescence-based imaging is a fundamental tool for visualizing dynamic biological processes, primarily through bioluminescence, which generates light via enzyme-substrate reactions, and fluorescence, which requires external excitation. The recent emergence of self-sustaining systems like the fungal bioluminescence pathway (FBP) necessitates a renewed comparative analysis of these tracing technologies. Conventional tools for biological tracing, luciferases and fluorescent proteins, are limited by their dependence on external substrates or light excitation. This review systematically contrasts these methods with the self-sustaining FBP, an intrinsic metabolic circuit that enables substrate-free, autonomous bioluminescence. We conclude that integrating FBP with AI-driven protein design is the pivotal next step toward non-invasive, real-time monitoring in complex organisms, positioning FBP as a paradigm-shifting tool for future tracing technologies.
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.