Evidence map›Paper›PMID 31671786›Full record

ReviewMicromachines2019

Droplet Microfluidics-Enabled High-Throughput Screening for Protein Engineering.

Lindong Weng, James E Spoonamore

Abstract readReview
In one paragraph

Review in Micromachines, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

  1. Review
  2. Review
  3. Perspectives on Multiscale Colloid-Based Materials for Biomedical Applications.Langmuir : the ACS journal of surfaces and colloids · 2023
    Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Droplet Microfluidics and Directed Evolution of Enzymes: An Intertwined Journey.Angewandte Chemie (International ed. in English) · 2021
    Review
  11. Article
  12. Review
  13. Directed Evolution Methods for Enzyme Engineering.Molecules (Basel, Switzerland) · 2021
    Review
  14. Recent trends in biocatalysis.Chemical Society reviews · 2021
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Lindong WengenEvolv, Inc., Medford, MA 02155, USA. l.weng@enevolv.com.ORCID 0000-0003-4811-6531
James E SpoonamoreenEvolv, Inc., Medford, MA 02155, USA. j.spoonamore@enevolv.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein engineering-the process of developing useful or valuable proteins-has successfully created a wide range of proteins tailored to specific agricultural, industrial, and biomedical applications. Protein engineering may rely on rational techniques informed by structural models, phylogenic information, or computational methods or it may rely upon random techniques such as chemical mutation, DNA shuffling, error prone polymerase chain reaction (PCR), etc. The increasing capabilities of rational protein design coupled to the rapid production of large variant libraries have seriously challenged the capacity of traditional screening and selection techniques. Similarly, random approaches based on directed evolution, which relies on the Darwinian principles of mutation and selection to steer proteins toward desired traits, also requires the screening of very large libraries of mutants to be truly effective. For either rational or random approaches, the highest possible screening throughput facilitates efficient protein engineering strategies. In the last decade, high-throughput screening (HTS) for protein engineering has been leveraging the emerging technologies of droplet microfluidics. Droplet microfluidics, featuring controlled formation and manipulation of nano- to femtoliter droplets of one fluid phase in another, has presented a new paradigm for screening, providing increased throughput, reduced reagent volume, and scalability. We review here the recent droplet microfluidics-based HTS systems developed for protein engineering, particularly directed evolution. The current review can also serve as a tutorial guide for protein engineers and molecular biologists who need a droplet microfluidics-based HTS system for their specific applications but may not have prior knowledge about microfluidics. In the end, several challenges and opportunities are identified to motivate the continued innovation of microfluidics with implications for protein engineering.

Indexed as

droplet coalescenceemulsificationenzyme engineeringFADSsynthetic biology

Identifiers

PMID31671786
PMCPMC6915371

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.