ArticlebioRxiv : the preprint server for biology2025
SCHEPHERD: A universal platform for high-throughput, high-resolution, and programmable control of cell behavior through bioelectric stimulation.
Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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Who cites it
1 citing paper in PubMed.
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Spanning frogs, fish, and humans, direct-current (DC) bioelectric cues play critical roles beyond neuro-muscular function, such as modulating morphogenesis, immune response, and healing through electrotaxis-electrically directed cell migration. Harnessing this potential requires new tools. However, standardized, accessible, and reproducible infrastructure capable of DC stimulation remains a challenge. We present SCHEPHERD: a universal, electrobioreactor integrating 8 stimulation channels and modular inserts to enable most electrotaxis assays in one device (cells, monolayers, and 3D spheroids), while enabling powerful, new capabilities. SCHEPHERD revealed through parameter sweeps that DC fields act like a 'steering wheel and gas pedal' for cell migration. We then used live confocal imaging to observe electrically reprogrammed F-actin dynamics. Finally, our multi-polar inserts generated complex spatial electrical patterns that reorganize engineered tissue dynamics. By significantly improving accessibility through modularity and an open-source, graphically programmed stimulator, we hope SCHEPHERD can help broaden the community studying these important DC bioelectric phenomena.
Identifiers
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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 Socratic graph.