ArticlePloS one2015
Monodisperse Picoliter Droplets for Low-Bias and Contamination-Free Reactions in Single-Cell Whole Genome Amplification.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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.
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.
Who cites it
35 citing papers in PubMed.
- Engineering next-generation microfluidic technologies for single-cell phenomics.Nature genetics · 2025Review
- Nonribosomal Peptide Synthetase Specific Genome Amplification Using Rolling Circle Amplification for Targeted Gene Sequencing.International journal of molecular sciences · 2024Article
- Tools for microbial single-cell genomics for obtaining uncultured microbial genomes.Biophysical reviews · 2024Review
- Evaluation of multiple displacement amplification for metagenomic analysis of low biomass samples.ISME communications · 2024Article
- Back to Basics: A Simplified Improvement to Multiple Displacement Amplification for Microbial Single-Cell Genomics.International journal of molecular sciences · 2023Article
- Single-cell analysis technologies for cancer research: from tumor-specific single cell discovery to cancer therapy.Frontiers in genetics · 2023Review
- Bottom-up creation of cell-free molecular systems: Basic research toward social implementation.Biophysics and physicobiology · 2023Article
- Revealing within-species diversity in uncultured human gut bacteria with single-cell long-read sequencing.Frontiers in microbiology · 2023Article
- Cell-Free Production Systems in Droplet Microfluidics.Advances in biochemical engineering/biotechnology · 2023Review
- Uncultured prokaryotic genomes in the spotlight: An examination of publicly available data from metagenomics and single-cell genomics.Computational and structural biotechnology journal · 2023Review
- Targeted single-cell genomics reveals novel host adaptation strategies of the symbiotic bacteria Endozoicomonas in Acropora tenuis coral.Microbiome · 2022Article
- Agarose gel microcapsules enable easy-to-prepare, picolitre-scale, single-cell genomics, yielding high-coverage genome sequences.Scientific reports · 2022Article
- Validation of the application of gel beads-based single-cell genome sequencing platform to soil and seawater.ISME communications · 2022Article
- Leveraging single-cell sequencing to unravel intratumour heterogeneity and tumour evolution in human cancers.The Journal of pathology · 2022Review
- Whole Genome Amplification in Preimplantation Genetic Testing in the Era of Massively Parallel Sequencing.International journal of molecular sciences · 2022Review
- Single-cell metabolite detection and genomics reveals uncultivated talented producer.PNAS nexus · 2022Article
- Enrichment of gut microbiome strains for cultivation-free genome sequencing using droplet microfluidics.Cell reports methods · 2022Article
- Single-Cell Multiomics Techniques: From Conception to Applications.Frontiers in cell and developmental biology · 2022Review
- Genome sequencing and de novo assembly of the giant unicellular alga Acetabularia acetabulum using droplet MDA.Scientific reports · 2021Article
- Methods and platforms for analysis of nucleic acids from single-cell based on microfluidics.Microfluidics and nanofluidics · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Whole genome amplification (WGA) is essential for obtaining genome sequences from single bacterial cells because the quantity of template DNA contained in a single cell is very low. Multiple displacement amplification (MDA), using Phi29 DNA polymerase and random primers, is the most widely used method for single-cell WGA. However, single-cell MDA usually results in uneven genome coverage because of amplification bias, background amplification of contaminating DNA, and formation of chimeras by linking of non-contiguous chromosomal regions. Here, we present a novel MDA method, termed droplet MDA, that minimizes amplification bias and amplification of contaminants by using picoliter-sized droplets for compartmentalized WGA reactions. Extracted DNA fragments from a lysed cell in MDA mixture are divided into 105 droplets (67 pL) within minutes via flow through simple microfluidic channels. Compartmentalized genome fragments can be individually amplified in these droplets without the risk of encounter with reagent-borne or environmental contaminants. Following quality assessment of WGA products from single Escherichia coli cells, we showed that droplet MDA minimized unexpected amplification and improved the percentage of genome recovery from 59% to 89%. Our results demonstrate that microfluidic-generated droplets show potential as an efficient tool for effective amplification of low-input DNA for single-cell genomics and greatly reduce the cost and labor investment required for determination of nearly complete genome sequences of uncultured bacteria from environmental samples.
Indexed as
Identifiers
What OpenQuestion holds
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.