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Title: Sorting for secreted molecule production using a biosensor-in-microdroplet approach

Journal Article · · Proceedings of the National Academy of Sciences of the United States of America
ORCiD logo [1];  [2];  [1];  [2]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [2];  [3];  [3]; ORCiD logo [4]
  1. Interdisciplinary Life Sciences Graduate Program, The University of Texas at Austin, Austin, TX 78712,
  2. McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, TX 78712,
  3. Sphere Fluidics Limited, Cambridge CB21 6GP, United Kingdom
  4. Interdisciplinary Life Sciences Graduate Program, The University of Texas at Austin, Austin, TX 78712,, McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, TX 78712,

Significance The design–build–test cycle of metabolic engineering is swiftly becoming test limited owing to advances in DNA synthesis and library design. At the same time, improving extracellular production requires high-throughput studies to detect extracellular (not intracellular) content. Traditional approaches that utilize chromatography-based analysis or plate-based fluorescence assays are relatively throughput limited and require a high degree of liquid handling. These limitations are avoided here by creating a generalizable approach for small molecule production screening. Namely, this paradigm combines “off-the-shelf” biosensors with large library screening from producing cells in a cell-type agnostic manner.

Sponsoring Organization:
USDOE
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1819978
Journal Information:
Proceedings of the National Academy of Sciences of the United States of America, Journal Name: Proceedings of the National Academy of Sciences of the United States of America Journal Issue: 36 Vol. 118; ISSN 0027-8424
Publisher:
Proceedings of the National Academy of SciencesCopyright Statement
Country of Publication:
United States
Language:
English

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