Evidence map›Paper›PMID 31720646›Full record

ArticleLab on a chip2019

A microfluidic alternating-pull-push active digitization method for sample-loss-free digital PCR.

Xin Zhou, Gopi Chandran Ravichandran, Peng Zhang, Yang Yang, Yong Zeng

Open access · greenAbstract read
In one paragraph

Article in Lab on a chip, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 38 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Digital PCR using a simple PDMS microfluidic chip and standard laboratory equipment.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2023
    Article
  5. Article
  6. Article
  7. Review
  8. 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 2 countries.

Xin ZhouDepartment of Chemistry, University of Kansas, Lawrence, KS 66045, USA. yongz@ku.edu.
Gopi Chandran RavichandranBioengineering Program, School of Engineering, University of Kansas, Lawrence, KS 66045, USA.
Peng ZhangDepartment of Chemistry, University of Kansas, Lawrence, KS 66045, USA. yongz@ku.edu.
Yang YangDepartment of Chemistry, University of Kansas, Lawrence, KS 66045, USA. yongz@ku.edu.ORCID 0000-0002-5524-0998
Yong ZengDepartment of Chemistry, University of Kansas, Lawrence, KS 66045, USA. yongz@ku.edu and University of Kansas Cancer Center, Kansas City, KS 66160, USA.ORCID 0000-0003-0537-109X
University of Kansas · US

Funding

Understanding the mechanobiology of stem cells in a microengineered 3D cardiac tissue environment with cardiomyopathyP20GM103638 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI HOLMSTROM, ERIK D · 2012 to 2021
$22.1M
Nano-Engineered Lab-on-a-Chip for Assessing HuR-Regulated Exosomes for Cancer Monitoring and Targeted TherapyR01CA243445 · NCI · UNIVERSITY OF KANSAS LAWRENCE · PI DIXON, DAN ALAN, XU, LIANG · 2019 to 2023
$3.0M
Integrated exosomes profiling for minimally invasive diagnosis and monitoring of cancerR33CA214333 · NCI · UNIVERSITY OF KANSAS LAWRENCE · PI GODWIN, ANDREW K., SAMUEL, GLENSON · 2017 to 2019
$1.2M
Integrated Digital Microfluidic Platforms for Next-Generation GlycomicsR21CA207816 · NCI · UNIVERSITY OF KANSAS LAWRENCE · PI ZENG, YONG · 2016 to 2017
$585k
Microfluidic Integrative Circulating miRNA Profiling for Cancer DiagnosisR21EB024101 · NIBIB · UNIVERSITY OF KANSAS LAWRENCE · PI DOYLE, PATRICK S, ZENG, YONG · 2017 to 2018
$411k
NCI NIH HHS R01 CA243445NCI NIH HHS R21 CA207816NCI NIH HHS R33 CA214333NIBIB NIH HHS R21 EB024101NIGMS NIH HHS P20 GM103638
6 · The paper itself

Abstract

Digital polymerase chain reaction (dPCR) is a powerful tool for genetic analysis, providing superior sensitivity and accuracy. In many applications that demand minuscule reaction volumes, such as single cell analysis, efficient and reproducible sample handling and digitization is pivotal for accurate absolute quantification of targets, but remains a significant technical challenge. In this paper, we described a robust and flexible microfluidic alternating-pull-push active digitization (μAPPAD) strategy that confers close to 100% sample digitization efficiency for microwell-based dPCR. Our strategy employs pneumatic valve control to periodically manipulate air pressure inside the chip to greatly facilitate the vacuum-driven partition of solution into microwells, enabling efficient digitization of a small-volume solution with significantly reduced volume variability. The μAPPAD method was evaluated on both tandem-channel and parallel-channel chips, which achieved a digitization efficiency of 99.5 ± 0.3% and 94.6 ± 0.9% within 10.5 min and 2 min, respectively. To assess the analytical performance of the μAPPAD chip, we calibrated it for absolution dPCR quantitation of λDNA across a range of concentrations. The results obtained with our chip matched well with the theoretical curve computed from Poisson statistics. Compared to the existing methods for highly efficient sample digitization, not only does our technology greatly reduce the constraints on microwell geometries and channel design, but also benefits from the intrinsic amenability of the pneumatic valve technique with device integration and automation. Thus we envision that the μAPPAD technology will provide a scalable and widely adaptable platform to promote the development of advanced lab-on-a-chip systems integrating microscale sample processing with dPCR for a broad scope of applications, such as single cell analysis of tumor heterogeneity and genetic profiling of circulating exosomes directly in clinical samples.

Indexed as

Lab-On-A-Chip DevicesMicrofluidic Analytical TechniquesPolymerase Chain ReactionBacteriophage lambdaDNA, ViralSingle-Cell AnalysisDNA, Viral

Identifiers

PMID31720646
PMCPMC6894176
OpenAlexW2989007518

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.