ArticleProceedings of the National Academy of Sciences of the United States of America2021
Sorting for secreted molecule production using a biosensor-in-microdroplet approach.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. 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.
- Engineering Biosensors to Enhance Monoterpene Indole Alkaloid Production in Yeast.bioRxiv : the preprint server for biology · 2026Article
- A growth-coupled progesterone-responsive biosensor for high-throughput microfluidic screening inSynthetic and systems biotechnology · 2026Article
- Accessible, robust ultrahigh-throughput microbiome analysis via integration of uniform droplet-templated emulsification and FACS.PloS one · 2026Article
- Engineering and Assay of Enzymes for Expanded Genetic Alphabet Replication.Biochemistry · 2025Article
- Droplet based microfluidic and miniaturization at high-throughput level to screening heterologous secondary metabolites in microbes: A critical review.Biotechnology letters · 2025Review
- Sensitive, high-throughput, metabolic analysis by molecular sensors on the membrane surface of mother yeast cells.Nature communications · 2025Article
- Understanding, inhibiting, and engineering membrane transporters with high-throughput mutational screens.Cell chemical biology · 2025Review
- Single-cell phenotyping of extracellular electron transfer via microdroplet encapsulation.Applied and environmental microbiology · 2025Article
- Droplet microfluidics for single-cell studies: a frontier in ecological understanding of microbiomes.FEMS microbiology reviews · 2025Review
- Single-Cell Phenotyping of Extracellular Electron Transfer via Microdroplet Encapsulation.bioRxiv : the preprint server for biology · 2024Article
- Coupling High-Throughput and Targeted Screening for Identification of Nonobvious Metabolic Engineering Targets.ACS synthetic biology · 2024Article
- The use of droplet-based microfluidic technologies for accelerated selection ofBiology methods & protocols · 2024Review
- Article
- Elucidation of Sequence-Function Relationships for an Improved BiobutanolFrontiers in bioengineering and biotechnology · 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
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sorting large libraries of cells for improved small molecule secretion is throughput limited. Here, we combine producer/secretor cell libraries with whole-cell biosensors using a microfluidic-based screening workflow. This approach enables a mix-and-match capability using off-the-shelf biosensors through either coencapsulation or pico-injection. We demonstrate the cell type and library agnostic nature of this workflow by utilizing single-guide RNA, transposon, and ethyl-methyl sulfonate mutagenesis libraries across three distinct microbes (
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.