Evidence map›Paper›PMID 35863950›Full record

ReviewTrends in biotechnology2023

Emerging platforms for high-throughput enzymatic bioassays.

Fangchi Shao, Pei-Wei Lee, Hui Li, Kuangwen Hsieh, Tza-Huei Wang

Open access · greenAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Trends in biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Advances in Machine Learning Models for Predicting Enzyme Kinetic Parameters.Journal of chemical information and modeling · 2026
    Review
  3. 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

5 authors at 1 institution in 1 country.

Fangchi ShaoDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Pei-Wei LeeDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Hui LiDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Kuangwen HsiehDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Tza-Huei WangDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA; Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA. Electronic address: thwang@jhu.edu.
Johns Hopkins University · US

Funding

A Droplet-based single cell platform for pathogen identification and ASTR01AI117032 · NIAID · JOHNS HOPKINS UNIVERSITY · PI LIAO, JOSEPH C, WANG, TZA-HUEI JEFF · 2015 to 2019
$5.7M
A "Culture" Shift: Integrated Bacterial Screening and Antibacterial Susceptibility Test on Microfluidic Digital Array for Bloodstream InfectionsR01AI137272 · NIAID · JOHNS HOPKINS UNIVERSITY · PI WANG, TZA-HUEI JEFF, YANG, SAMUEL · 2018 to 2022
$3.6M
Development of a low-cost epigenetic screening assay for Pap specimen-based detection of early-stage ovarian cancer in high-risk womenR01CA260628 · NCI · JOHNS HOPKINS UNIVERSITY · PI PISANIC II, THOMAS RUSSELL, SHIH, IE-MING · 2021 to 2025
$2.1M
NCI NIH HHS R01 CA260628NIAID NIH HHS R01 AI117032NIAID NIH HHS R01 AI137272
6 · The paper itself

Abstract

Enzymes have essential roles in catalyzing biological reactions and maintaining metabolic systems. Many in vitro enzymatic bioassays have been developed for use in industrial and research fields, such as cell biology, enzyme engineering, drug screening, and biofuel production. Of note, many of these require the use of high-throughput platforms. Although the microtiter plate remains the standard for high-throughput enzymatic bioassays, microfluidic arrays and droplet microfluidics represent emerging methods. Each has seen significant advances and offers distinct advantages; however, drawbacks in key performance metrics, including reagent consumption, reaction manipulation, reaction recovery, real-time measurement, concentration gradient range, and multiplexity, remain. Herein, we compare recent high-throughput platforms using the aforementioned metrics as criteria and provide insights into remaining challenges and future research trends.

Indexed as

Microfluidic Analytical TechniquesMicrofluidicsBiological AssayDrug Evaluation, PreclinicalHigh-Throughput Screening Assaysdigitizationdroplet microfluidicshigh-throughput enzymatic bioassayshigh-throughput screeningmicrofluidic arraymicrotiter plates

Identifiers

PMID35863950
PMCPMC9789168
OpenAlexW4285736105

What OpenQuestion holds

Textmetadata
LicenceTDM
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.