ArticleMolecular systems biology2021
Enabling high-throughput biology with flexible open-source automation.
Article in Molecular systems biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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
29 citing papers in PubMed.
- Automation-Assisted Photoinduced Atom Transfer Radical Polymerization.ACS polymers Au · 2026Article
- Article
- EngineeringFrontiers in microbiology · 2026Review
- A foundation model for microbial growth dynamics.bioRxiv : the preprint server for biology · 2025Article
- Advances in the microbial biosynthesis of therapeutic terpenoids.Current opinion in biotechnology · 2025Review
- Engineering biology and automation-Replicability as a design principle.Engineering biology · 2024Review
- Development of specialized devices for microbial experimental evolution.Development, growth & differentiation · 2024Review
- Transfer learning for cross-context prediction of protein expression from 5'UTR sequence.Nucleic acids research · 2024Article
- AutonoMS: Automated Ion Mobility Metabolomic Fingerprinting.Journal of the American Society for Mass Spectrometry · 2024Article
- Opportunities and Challenges for Machine Learning-Assisted Enzyme Engineering.ACS central science · 2024Review
- Characterizing emerging companies in computational drug development.Nature computational science · 2024Review
- Recent Advances in High-Content Imaging and Analysis in iPSC-Based Modelling of Neurodegenerative Diseases.International journal of molecular sciences · 2023Review
- PyLabRobot: An Open-Source, Hardware Agnostic Interface for Liquid-Handling Robots and Accessories.bioRxiv : the preprint server for biology · 2023Article
- A self-propagating, barcoded transposon system for the dynamic rewiring of genomic networks.Molecular systems biology · 2023Article
- High-throughput approaches to uncover synergistic drug combinations in leukemia.SLAS discovery : advancing life sciences R & D · 2023Article
- LIFTOSCOPE: development of an automated AI-based module for time-effective and contactless analysis and isolation of cells in microtiter plates.Journal of biological engineering · 2023Article
- Droplet-based methodology for investigating bacterial population dynamics in response to phage exposure.Frontiers in microbiology · 2023Article
- Support academic access to automated cloud labs to improve reproducibility.PLoS biology · 2023Article
- Engineering Ag43 Signal Peptides with Bacterial Display and Selection.Methods and protocols · 2022Article
- Control of parallelized bioreactors I: dynamic scheduling software for efficient bioprocess management in high-throughput systems.Bioprocess and biosystems engineering · 2022Article
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
Abstract
Our understanding of complex living systems is limited by our capacity to perform experiments in high throughput. While robotic systems have automated many traditional hand-pipetting protocols, software limitations have precluded more advanced maneuvers required to manipulate, maintain, and monitor hundreds of experiments in parallel. Here, we present Pyhamilton, an open-source Python platform that can execute complex pipetting patterns required for custom high-throughput experiments such as the simulation of metapopulation dynamics. With an integrated plate reader, we maintain nearly 500 remotely monitored bacterial cultures in log-phase growth for days without user intervention by taking regular density measurements to adjust the robotic method in real-time. Using these capabilities, we systematically optimize bioreactor protein production by monitoring the fluorescent protein expression and growth rates of a hundred different continuous culture conditions in triplicate to comprehensively sample the carbon, nitrogen, and phosphorus fitness landscape. Our results demonstrate that flexible software can empower existing hardware to enable new types and scales of experiments, empowering areas from biomanufacturing to fundamental biology.
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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.