Evidence map›Paper›PMID 31433062›Full record

ReviewElectrophoresis2019

High-throughput droplet-based microfluidics for directed evolution of enzymes.

Flora W Y Chiu, Stavros Stavrakis

Open access · hybridAbstract readReview
In one paragraph

Review in Electrophoresis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.7field-weighted citation impact, top 6% of its field
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

14 citing papers in PubMed, 62 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Droplet Microfluidics and Directed Evolution of Enzymes: An Intertwined Journey.Angewandte Chemie (International ed. in English) · 2021
    Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. 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 at 1 institution in 1 country.

Flora W Y ChiuInstitute for Chemical and Bioengineering, ETH Zürich, Zürich, Switzerland.
Stavros StavrakisInstitute for Chemical and Bioengineering, ETH Zürich, Zürich, Switzerland.ORCID 0000-0002-0888-5953
ETH Zurich · CH

Funding

ETH ZürichSwiss National Science Foundation Nr. 205321/176011/1
6 · The paper itself

Abstract

Natural enzymes have evolved over millions of years to allow for their effective operation within specific environments. However, it is significant to note that despite their wide structural and chemical diversity, relatively few natural enzymes have been successfully applied to industrial processes. To address this limitation, directed evolution (DE) (a method that mimics the process of natural selection to evolve proteins toward a user-defined goal) coupled with droplet-based microfluidics allows the detailed analysis of millions of enzyme variants on ultra-short timescales, and thus the design of novel enzymes with bespoke properties. In this review, we aim at presenting the development of DE over the last years and highlighting the most important advancements in droplet-based microfluidics, made in this context towards the high-throughput demands of enzyme optimization. Specifically, an overview of the range of microfluidic unit operations available for the construction of DE platforms is provided, focusing on their suitability and benefits for cell-based assays, as in the case of directed evolution experimentations.

Indexed as

Directed Molecular EvolutionEnzymesHigh-Throughput Screening AssaysMicrofluidic Analytical TechniquesEquipment DesignSingle-Cell AnalysisEnzymesdirected evolutiondroplet-based microfluidicshigh throughput screeningprotein engineeringsingle-cell

Identifiers

PMID31433062
PMCPMC6899980
OpenAlexW2969742375

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.