ArticleCell2020
Directed Evolution of a Selective and Sensitive Serotonin Sensor via Machine Learning.
Article in Cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 109 papers, 2 of them syntheses that pooled it.
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
109 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Integrating AI with Biosensors and Voltammetry for Neurotransmitter Detection and Quantification: A Systematic Review.Biosensors · 2025Pooled it
- Meta-analysis of high-intensity interval training effects on cognitive function in older adults and cognitively impaired patients.Frontiers in physiology · 2025Pooled it
- Serotonin biology as a basis for explaining psychedelic drug action.Current biology : CB · 2026Review
- Illuminating spatial dynamics of glutamine metabolism with a sensitive genetically encoded biosensor.RSC chemical biology · 2026Article
- Noninvasive methods to monitor dynamic single-cell events.Trends in cell biology · 2026Review
- Protein Surface Site Determines the Evolutionary Accessibility of Allosteric Regulation.bioRxiv : the preprint server for biology · 2026Article
- Article
- Fast analysis and engineering of protein function by microbe-independent deep assembly and screening.Molecular systems biology · 2026Article
- In vivo multimodal neurochemical interfaces for real-time decoding of brain circuit.Nature reviews. Neuroscience · 2026Review
- Machine Learning for Neurotransmitter Monitoring by Fast Voltammetry: Current and Future Prospects.ACS chemical neuroscience · 2026Review
- Causal links between serotonin dynamics and cued fear learning: evidence from experimental studies.Frontiers in computational neuroscience · 2026Review
- Article
- A red fluorescent genetically encoded biosensor for in vivo imaging of extracellular L-lactate dynamics.Nature communications · 2025Article
- Progress toward Multianalyte Neurochemical Detection: Techniques and Applications.ACS chemical neuroscience · 2025Review
- An Improved Ratiometric FRET Biosensor with Higher Affinity for Extracellular ATP.Sensors (Basel, Switzerland) · 2025Article
- Combing Directed Enzyme Evolution with Metabolic Engineering to Develop Efficient Microbial Cell Factories.Chem & bio engineering · 2025Review
- Continuous Nicotine Monitors for Personal Nicotine Pharmacokinetics: A Receptor-Aware Research Agenda.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025Review
- Recent advances in spying on cell signaling with fluorescent biosensors.Current opinion in cell biology · 2025Review
- Coding principles and mechanisms of serotonergic transmission modes.Molecular psychiatry · 2025Article
- Multiplexing FSCV and iGluSnFR3 Sensors Reveals Adenosine Transiently Inhibits Stimulated Dopamine and Glutamate Release.Journal of neurochemistry · 2025Article
49 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
35 authors.
Funding
Abstract
Serotonin plays a central role in cognition and is the target of most pharmaceuticals for psychiatric disorders. Existing drugs have limited efficacy; creation of improved versions will require better understanding of serotonergic circuitry, which has been hampered by our inability to monitor serotonin release and transport with high spatial and temporal resolution. We developed and applied a binding-pocket redesign strategy, guided by machine learning, to create a high-performance, soluble, fluorescent serotonin sensor (iSeroSnFR), enabling optical detection of millisecond-scale serotonin transients. We demonstrate that iSeroSnFR can be used to detect serotonin release in freely behaving mice during fear conditioning, social interaction, and sleep/wake transitions. We also developed a robust assay of serotonin transporter function and modulation by drugs. We expect that both machine-learning-guided binding-pocket redesign and iSeroSnFR will have broad utility for the development of other sensors and in vitro and in vivo serotonin detection, respectively.
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.