Evidence map›Paper›PMID 35901235›Full record

ArticleAnalytical chemistry2022

Microfluidic Printing-Based Method for the Multifactorial Study of Cell-Free Protein Networks.

Chuqing Zhou, Jiyoung Shim, Zecong Fang, Conary Meyer, Ting Gong, Matthew Wong, Cheemeng Tan, Tingrui Pan

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

Article in Analytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 92% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

8 authors at 3 institutions in 2 countries.

Chuqing ZhouDepartment of Biomedical Engineering, University of California, Davis, California 95616, United States.
Jiyoung ShimDepartment of Biomedical Engineering, University of California, Davis, California 95616, United States.ORCID 0000-0001-6973-9530
Zecong FangInstitute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Science, Shenzhen 518055, China.
Conary MeyerDepartment of Biomedical Engineering, University of California, Davis, California 95616, United States.
Ting GongDepartment of Biomedical Engineering, University of California, Davis, California 95616, United States.
Matthew WongDepartment of Biomedical Engineering, University of California, Davis, California 95616, United States.
Cheemeng TanDepartment of Biomedical Engineering, University of California, Davis, California 95616, United States.ORCID 0000-0003-1049-1192
Tingrui PanInstitute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Science, Shenzhen 518055, China.ORCID 0000-0002-8851-0667
University of California, Davis · USShenzhen Institutes of Advanced Technology · CNUniversity of Science and Technology of China · CN

Funding

Engineering and dissecting the synthetic non-dividing-but-active state of hybrid cell-materialsR35GM142788 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Cheemeng Tan · 2021 to 2026
$2.7M
Modeling heterogeneity of a cancer-signaling cascade using biomimetic cellsR21EB025938 · NIBIB · UNIVERSITY OF CALIFORNIA AT DAVIS · PI TAN, CHEEMENG · 2019 to 2021
$603k
NIBIB NIH HHS R21 EB025938NIGMS NIH HHS R35 GM142788
6 · The paper itself

Abstract

Protein networks can be assembled in vitro for basic biochemistry research, drug screening, and the creation of artificial cells. Two standard methodologies are used: manual pipetting and pipetting robots. Manual pipetting has limited throughput in the number of input reagents and the combination of reagents in a single sample. While pipetting robots are evident in improving pipetting efficiency and saving hands-on time, their liquid handling volume usually ranges from a few to hundreds of microliters. Microfluidic methods have been developed to minimize the reagent consumption and speed up screening but are challenging in multifactorial protein studies due to their reliance on complex structures and labeling dyes. Here, we engineered a new impact-printing-based methodology to generate printed microdroplet arrays containing water-in-oil droplets. The printed droplet volume was linearly proportional (

Indexed as

Microfluidic Analytical TechniquesMicrofluidicsDrug Evaluation, PreclinicalPrinting, Three-DimensionalWaterWater

Identifiers

PMID35901235
PMCPMC9558566
OpenAlexW4288439568

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.