Droplet digital PCR (ddPCR) is accurate in nucleic acid quantification owing to its linearity and high sensitivity. Amplification of nucleic acid in droplets, however, is limited by the stability of droplets against thermal cycling. While the use of fluorinated oil or supplementation of surfactant could improve the stability of droplets, this process has also greatly increased the cost of ddPCR and limited post-PCR analysis. Here, we report a novel method known as gel capsule-based digital PCR (gc-dPCR) which includes a method to prepare hydrogel capsules encapsulating the PCR reaction mix, conducting PCR reaction, and readout by either quantitative PCR (qPCR) system or fluorescence microplate reader. We have compared the developed method to vortex ddPCR. Our approach results in higher fluorescence intensity compared to ddPCR suggesting higher sensitivity of the system. As hydrogel capsules are more stable than droplets in fluorinated oil throughout thermal cycling, all partitions can be quantified, thus preventing loss of information from low-concentration samples. The new approach should extend to all droplet-based PCR methods. It has greatly improved ddPCR by increasing droplets stability and sensitivity, and reducing the cost of ddPCR, which help to remove the barrier of ddPCR in settings with limited resources.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10233522PMC
http://dx.doi.org/10.1007/s00604-023-05827-7DOI Listing

Publication Analysis

Top Keywords

capsule-based digital
8
digital pcr
8
nucleic acid
8
stability droplets
8
thermal cycling
8
fluorinated oil
8
cost ddpcr
8
hydrogel capsules
8
ddpcr
7
droplets
5

Similar Publications

Droplet digital PCR (ddPCR) is accurate in nucleic acid quantification owing to its linearity and high sensitivity. Amplification of nucleic acid in droplets, however, is limited by the stability of droplets against thermal cycling. While the use of fluorinated oil or supplementation of surfactant could improve the stability of droplets, this process has also greatly increased the cost of ddPCR and limited post-PCR analysis.

View Article and Find Full Text PDF

Indacaterol/Glycopyrronium/Mometasone: A Review in Asthma.

Drugs

April 2021

Springer Nature, Private Bag 65901, Mairangi Bay, Auckland, 0754, New Zealand.

Indacaterol/glycopyrronium/mometasone (Enerzair Breezhaler) is a fixed-dose combination of the long-acting β agonist (LABA) indacaterol, the long-acting muscarinic antagonist (LAMA) glycopyrronium and the inhaled corticosteroid (ICS) mometasone furoate (hereafter referred to as mometasone) delivered via a capsule-based dry-powder inhaler. It is approved in the EU for use as maintenance treatment in adult patients with inadequately controlled asthma who had experienced one or more exacerbations in the previous year. The approval also includes an optional digital companion (sensor and app) that provides data on the patient's use of the inhaler.

View Article and Find Full Text PDF

Color consistency is crucial to developing robust deep learning methods for histopathological image analysis. With the increasing application of digital histopathological slides, the deep learning methods are probably developed based on the data from multiple medical centers. This requirement makes it a challenging task to normalize the color variance of histopathological images from different medical centers.

View Article and Find Full Text PDF

Obtaining physiological data from animals in a non-obtrusive and continuous manner is important to veterinary science. This paper demonstrates the design and deployment of a miniaturized capsule-based system for subdermal injection to provide real-time and continuous heart-rate, movement, and core-body-temperature measurements. The presented device incorporates sensors for photoplethysmography, motion detection, and temperature measurements.

View Article and Find Full Text PDF

In neuroscience, all kinds of computation models were designed to answer the open question of how sensory stimuli are encoded by neurons and conversely, how sensory stimuli can be decoded from neuronal activities. Especially, functional Magnetic Resonance Imaging (fMRI) studies have made many great achievements with the rapid development of deep network computation. However, comparing with the goal of decoding orientation, position and object category from human fMRI in visual cortex, accurate reconstruction of image stimuli is a still challenging work.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!