ArticleAnalytical chemistry2020
Microfluidic Platform for Next-Generation Sequencing Library Preparation with Low-Input Samples.
Article in Analytical chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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.
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Who cites it
9 citing papers in PubMed.
- AI-Enabled Microfluidics for Respiratory Pathogen Detection.Sensors (Basel, Switzerland) · 2025Review
- Nanomaterial-enhanced biosensors for polycystic ovarian syndrome diagnosis and pathophysiological insights.Mikrochimica acta · 2025Review
- Automation of customizable library preparation for next-generation sequencing into an open microfluidic platform.Scientific reports · 2024Article
- Leveraging the fundamentals of heat transfer and fluid mechanics in microscale geometries for automated next-generation sequencing library preparation.Scientific reports · 2024Article
- Unravelling the Diversity of Microorganisms in Ticks from Australian Wildlife.Pathogens (Basel, Switzerland) · 2023Article
- Target Enrichment Approaches for Next-Generation Sequencing Applications in Oncology.Diagnostics (Basel, Switzerland) · 2022Review
- Faster, better, and cheaper: harnessing microfluidics and mass spectrometry for biotechnology.RSC chemical biology · 2021Review
- Isolation of target DNA using synergistic magnetic bead transport and electrokinetic flow.Biomicrofluidics · 2021Article
- Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Advances in next-generation sequencing (NGS) have made available a wealth of information that had previously been inaccessible to researchers and clinicians. NGS has been applied to understand genomic, transcriptomic, and epigenomic changes and gained traction as a significant tool capable of accelerating diagnosis, prognosis, and biomarker discovery. However, these NGS assays have yet to be practical methods for patient stratification or diagnosis because of the gap between the tiny quantities of biomaterials provided by a clinical sample and the large DNA input required by most of these assays. Current library preparation methodologies typically require large input amounts of DNA and a long and complicated manual process. Here, we present a microfluidic droplet-based system for NGS library preparation, capable of reducing the number of pipetting steps significantly, reducing reagent consumption by 10×, and automating much of the process, while supporting an extremely low DNA input requirement (10 pg per library). This semiautomated technology will allow for low-input preparations of 8 libraries simultaneously while reducing batch-to-batch variation and operator hands-on time.
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Registered trials
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.