Evidence map›Paper›PMID 37553326›Full record

ArticleNature communications2023

spinDrop: a droplet microfluidic platform to maximise single-cell sequencing information content.

Joachim De Jonghe, Tomasz S Kaminski, David B Morse, Marcin Tabaka, Anna L Ellermann, Timo N Kohler, Gianluca Amadei, Charlotte E Handford, Gregory M Findlay, Magdalena Zernicka-Goetz and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  16. Review
  17. Review
  18. An Acoustofluidic Picoinjector.Sensors and actuators. B, Chemical · 2024
    Article
  19. Article
  20. Article
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

12 authors.

Joachim De Jonghe *Department of Biochemistry, University of Cambridge, Cambridge, United Kingdom.ORCID http://orcid.org/0000-0003-0584-8265
Tomasz S Kaminski *Department of Biochemistry, University of Cambridge, Cambridge, United Kingdom.ORCID http://orcid.org/0000-0001-5124-4548
David B MorseDepartment of Chemistry, University of Cambridge, Cambridge, United Kingdom.
Marcin TabakaInternational Centre for Translational Eye Research, Warsaw, Poland.
Anna L EllermannDepartment of Biochemistry, University of Cambridge, Cambridge, United Kingdom.ORCID http://orcid.org/0000-0002-3713-2870
Timo N KohlerDepartment of Biochemistry, University of Cambridge, Cambridge, United Kingdom.ORCID http://orcid.org/0000-0003-1949-0655
Gianluca AmadeiDepartment of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, United Kingdom.
Charlotte E HandfordDepartment of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, United Kingdom.
Gregory M FindlayFrancis Crick Institute, London, United Kingdom.ORCID http://orcid.org/0000-0002-7767-8608
Magdalena Zernicka-GoetzDepartment of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, United Kingdom.ORCID http://orcid.org/0000-0002-7004-2471
Sarah A TeichmannWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom.ORCID http://orcid.org/0000-0002-6294-6366
Florian HollfelderDepartment of Biochemistry, University of Cambridge, Cambridge, United Kingdom. fh111@cam.ac.uk.ORCID http://orcid.org/0000-0002-1367-6312

Funding

Medical Scientist Training ProgramT32GM007753 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI WALENSKY, LOREN DAVID · 1985 to 2021
$50.0M
Medical Scientist Training ProgramT32GM144273 · NIGMS · HARVARD MEDICAL SCHOOL · PI David Shumway Jones, Jacqueline A. Lees · 2022 to 2026
$14.7M
Placental models to support embryogenesis in vitroDP1HD104575 · NICHD · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ZERNICKA-GOETZ, MAGDALENA · 2020 to 2024
$5.8M
Biotechnology and Biological Sciences Research CouncilNICHD NIH HHS DP1 HD104575NIGMS NIH HHS T32 GM007753NIGMS NIH HHS T32 GM144273Wellcome Trust
6 · The paper itself

Abstract

Droplet microfluidic methods have massively increased the throughput of single-cell sequencing campaigns. The benefit of scale-up is, however, accompanied by increased background noise when processing challenging samples and the overall RNA capture efficiency is lower. These drawbacks stem from the lack of strategies to enrich for high-quality material or specific cell types at the moment of cell encapsulation and the absence of implementable multi-step enzymatic processes that increase capture. Here we alleviate both bottlenecks using fluorescence-activated droplet sorting to enrich for droplets that contain single viable cells, intact nuclei, fixed cells or target cell types and use reagent addition to droplets by picoinjection to perform multi-step lysis and reverse transcription. Our methodology increases gene detection rates fivefold, while reducing background noise by up to half. We harness these properties to deliver a high-quality molecular atlas of mouse brain development, despite starting with highly damaged input material, and provide an atlas of nascent RNA transcription during mouse organogenesis. Our method is broadly applicable to other droplet-based workflows to deliver sensitive and accurate single-cell profiling at a reduced cost.

Indexed as

Microfluidic Analytical TechniquesMicrofluidicsAnimalsMiceRNASingle-Cell AnalysisRNA

Identifiers

PMID37553326
PMCPMC10409775

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.