Evidence map›Paper›PMID 31844066›Full record

ArticleNature communications2019

Droplet Tn-Seq combines microfluidics with Tn-Seq for identifying complex single-cell phenotypes.

Derek Thibault, Paul A Jensen, Stephen Wood, Christine Qabar, Stacie Clark, Mara G Shainheit, Ralph R Isberg, Tim van Opijnen

Open access · goldAbstract readValidation Study
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

45 citing papers in PubMed, 82 citations in OpenAlex.

  1. Review
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  7. Chemical genetic interactions elucidate pathways controlling tuberculosis antibiotic efficacy during infection.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. The Evolution of Next-Generation Sequencing Technologies.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  9. High-throughput single-cell sequencing of activated sludge microbiome.Environmental science and ecotechnology · 2025
    Article
  10. Review
  11. Stimulated Brillouin scattering flow cytometry.Biomedical optics express · 2024
    Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
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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

8 authors at 3 institutions in 1 country.

Derek ThibaultBiology Department, Boston College, Chestnut Hill, MA, 02467, USA.
Paul A JensenBiology Department, Boston College, Chestnut Hill, MA, 02467, USA.ORCID http://orcid.org/0000-0002-1257-9836
Stephen WoodBiology Department, Boston College, Chestnut Hill, MA, 02467, USA.
Christine QabarDepartment of Biological Sciences, Towson University, Towson, MD, 21252, USA.
Stacie ClarkDepartment of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, MA, 02111, USA.
Mara G ShainheitDepartment of Biological Sciences, Towson University, Towson, MD, 21252, USA.
Ralph R IsbergDepartment of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, MA, 02111, USA.
Tim van OpijnenBiology Department, Boston College, Chestnut Hill, MA, 02467, USA. vanopijn@bc.edu.ORCID http://orcid.org/0000-0001-6895-6795
Boston College · USTowson University · USTufts University · US

Funding

Predicting the emergence of antibiotic resistance through multi-omics approaches and Immune System-surveillanU01AI124302 · NIAID · BOSTON COLLEGE · PI BENTO, JOSE, COOPER, VAUGHN · 2016 to 2020
$10.2M
The bacterial response to antibiotics and the evolution of antibiotic resistanceR01AI110724 · NIAID · BOSTON COLLEGE · PI VAN OPIJNEN, TIM · 2015 to 2019
$2.0M
NIAID NIH HHS R01 AI110724NIAID NIH HHS U01 AI124302
6 · The paper itself

Abstract

While Tn-Seq is a powerful tool to determine genome-wide bacterial fitness in high-throughput, culturing transposon-mutant libraries in pools can mask community or other complex single-cell phenotypes. Droplet Tn-Seq (dTn-Seq) solves this problem by microfluidics facilitated encapsulation of individual transposon mutants into growth medium-in-oil droplets, thereby enabling isolated growth, free from the influence of the population. Here we describe and validate microfluidic chip design, production, encapsulation, and dTn-Seq sample preparation. We determine that 1-3% of mutants in Streptococcus pneumoniae have a different fitness when grown in isolation and show how dTn-Seq can help identify leads for gene function, including those involved in hyper-competence, processing of alpha-1-acid glycoprotein, sensitivity against the human leukocyte elastase and microcolony formation. Additionally, we show dTn-Seq compatibility with microscopy, FACS and investigations of bacterial cell-to-cell and bacteria-host cell interactions. dTn-Seq reduces costs and retains the advantages of Tn-Seq, while expanding the method's original applicability.

Indexed as

DNA, BacterialDNA Transposable ElementsGene LibraryGenes, BacterialHigh-Throughput Nucleotide SequencingMicrofluidic Analytical TechniquesMutationSequence Analysis, DNASingle-Cell AnalysisStreptococcus pneumoniaeDNA, BacterialDNA Transposable Elements

Identifiers

PMID31844066
PMCPMC6914776
OpenAlexW2996546775

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.