Evidence map›Paper›PMID 28128213›Full record

ArticleNature communications2017

High-throughput automated microfluidic sample preparation for accurate microbial genomics.

Soohong Kim, Joachim De Jonghe, Anthony B Kulesa, David Feldman, Tommi Vatanen, Roby P Bhattacharyya, Brittany Berdy, James Gomez, Jill Nolan, Slava Epstein and 1 more

Abstract read
In one paragraph

Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
–field-weighted citation impact
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

42 citing papers in PubMed.

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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

11 authors.

Soohong KimThe Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.
Joachim De JongheThe Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.
Anthony B KulesaThe Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.
David FeldmanThe Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.
Tommi VatanenThe Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.ORCID 0000-0003-0949-1291
Roby P BhattacharyyaThe Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.
Brittany BerdyDepartment of Biology, Northeastern University, Boston, Massachusetts 02115, USA.ORCID 0000-0002-8593-0762
James GomezThe Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.
Jill NolanThe Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.
Slava EpsteinDepartment of Biology, Northeastern University, Boston, Massachusetts 02115, USA.
Paul C BlaineyThe Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.

Funding

INFECTIOUS DISEASE AND BASIC MICROBIOLOGICAL MECHANISMST32AI007061 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Marcia B Goldberg · 1985 to 2026
$12.1M
Graduate Training in Computational and Systems BiologyT32GM087237 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BURGE, CHRISTOPHER B · 2009 to 2023
$4.6M
Nucleome Positioning System for Spatiotemporal Genome Organization and RegulationU54DK107967 · NIDDK · JACKSON LABORATORY · PI WEI, CHIA-LIN · 2015 to 2019
$3.6M
Bioinformatic and functional analysis of antibiotic-responsive small non-coding RNAs in bacterial pathogensK08AI119157 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI BHATTACHARYYA, ROBY PAUL · 2015 to 2018
$758k
Microfluidic sample preparation for genomic sequencing of clinical pathogen isolatesR21AI121932 · NIAID · BROAD INSTITUTE, INC. · PI BLAINEY, PAUL CLARK, GRAD, YONATAN H · 2016 to 2017
$496k
NIAID NIH HHS K08 AI119157NIAID NIH HHS R21 AI121932NIAID NIH HHS T32 AI007061NIDDK NIH HHS U54 DK107967NIGMS NIH HHS T32 GM087237
6 · The paper itself

Abstract

Low-cost shotgun DNA sequencing is transforming the microbial sciences. Sequencing instruments are so effective that sample preparation is now the key limiting factor. Here, we introduce a microfluidic sample preparation platform that integrates the key steps in cells to sequence library sample preparation for up to 96 samples and reduces DNA input requirements 100-fold while maintaining or improving data quality. The general-purpose microarchitecture we demonstrate supports workflows with arbitrary numbers of reaction and clean-up or capture steps. By reducing the sample quantity requirements, we enabled low-input (∼10,000 cells) whole-genome shotgun (WGS) sequencing of Mycobacterium tuberculosis and soil micro-colonies with superior results. We also leveraged the enhanced throughput to sequence ∼400 clinical Pseudomonas aeruginosa libraries and demonstrate excellent single-nucleotide polymorphism detection performance that explained phenotypically observed antibiotic resistance. Fully-integrated lab-on-chip sample preparation overcomes technical barriers to enable broader deployment of genomics across many basic research and translational applications.

Indexed as

Bacterial InfectionsDrug Resistance, MicrobialEnvironmental MonitoringGene LibraryGenome, BacterialGenomicsHigh-Throughput Nucleotide SequencingHigh-Throughput Screening AssaysHumansLab-On-A-Chip DevicesMicrofluidicsMycobacterium tuberculosisOligonucleotide Array Sequence AnalysisPolymorphism, Single NucleotidePseudomonas aeruginosaSoil Microbiology

Identifiers

PMID28128213
PMCPMC5290157

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.