Evidence map›Paper›PMID 28701744›Full record

ArticleScientific reports2017

Massively parallel whole genome amplification for single-cell sequencing using droplet microfluidics.

Masahito Hosokawa, Yohei Nishikawa, Masato Kogawa, Haruko Takeyama

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

72 citing papers in PubMed, 138 citations in OpenAlex.

  1. Toward Practical Embryo Genomic Selection in Cattle: An Optimized Workflow Enabling High-Accuracy Breeding Value Prediction Without Compromising Embryo Survival.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  2. Cell-Based Immuno-Biosensors Using Microfluidics.Sensors (Basel, Switzerland) · 2026
    Review
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  5. Microbiome Single Cell Atlases Generated with a Commercial Instrument.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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  15. scMicrobe PTA: Near Complete Genomes from Single Bacterial Cells.bioRxiv : the preprint server for biology · 2024
    Article
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12 more citing papers are in PubMed but not listed here.

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

4 authors at 1 institution in 1 country.

Masahito HosokawaResearch Organization for Nano & Life Innovation, Waseda University, 513 Wasedatsurumaki-cho, Shinjuku-ku, Tokyo, 162-0041, Japan.ORCID 0000-0002-7070-4690
Yohei NishikawaDepartment of Life Science and Medical Bioscience, Waseda University, 2-2 Wakamatsu-cho, Shinjuku-ku, Tokyo, 162-8480, Japan.
Masato KogawaDepartment of Life Science and Medical Bioscience, Waseda University, 2-2 Wakamatsu-cho, Shinjuku-ku, Tokyo, 162-8480, Japan.
Haruko TakeyamaResearch Organization for Nano & Life Innovation, Waseda University, 513 Wasedatsurumaki-cho, Shinjuku-ku, Tokyo, 162-0041, Japan. haruko-takeyama@waseda.jp.
Waseda University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Massively parallel single-cell genome sequencing is required to further understand genetic diversities in complex biological systems. Whole genome amplification (WGA) is the first step for single-cell sequencing, but its throughput and accuracy are insufficient in conventional reaction platforms. Here, we introduce single droplet multiple displacement amplification (sd-MDA), a method that enables massively parallel amplification of single cell genomes while maintaining sequence accuracy and specificity. Tens of thousands of single cells are compartmentalized in millions of picoliter droplets and then subjected to lysis and WGA by passive droplet fusion in microfluidic channels. Because single cells are isolated in compartments, their genomes are amplified to saturation without contamination. This enables the high-throughput acquisition of contamination-free and cell specific sequence reads from single cells (21,000 single-cells/h), resulting in enhancement of the sequence data quality compared to conventional methods. This method allowed WGA of both single bacterial cells and human cancer cells. The obtained sequencing coverage rivals those of conventional techniques with superior sequence quality. In addition, we also demonstrate de novo assembly of uncultured soil bacteria and obtain draft genomes from single cell sequencing. This sd-MDA is promising for flexible and scalable use in single-cell sequencing.

Indexed as

Genome, BacterialGenome, HumanBacteriaHigh-Throughput Nucleotide SequencingHumansMicrofluidicsNeoplasmsSequence Analysis, DNASingle-Cell AnalysisSoilSoil MicrobiologyTumor Cells, CulturedWhole Genome SequencingSoil

Identifiers

PMID28701744
PMCPMC5507899
OpenAlexW2734237109

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.