Evidence map›Paper›PMID 36879006›Full record

ArticleNature biotechnology2023

Microfluidics-free single-cell genomics with templated emulsification.

Iain C Clark, Kristina M Fontanez, Robert H Meltzer, Yi Xue, Corey Hayford, Aaron May-Zhang, Chris D'Amato, Ahmad Osman, Jesse Q Zhang, Pabodha Hettige and 15 more

Open access · hybridAbstract read
In one paragraph

Article in Nature biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers.

0numbers the graph read from it
0cells of the map it votes in
113citing papers in PubMed
29.7field-weighted citation impact, top 1% 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

113 citing papers in PubMed, 185 citations in OpenAlex.

  1. Article
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  11. The molecular asynchrony of single cells.bioRxiv : the preprint server for biology · 2026
    Article
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53 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

25 authors at 6 institutions in 1 country.

Iain C ClarkDepartment of Bioengineering, University of California, Berkeley, California Institute for Quantitative Biosciences, Berkeley, CA, USA.ORCID 0000-0001-9082-0253
Kristina M FontanezFluent Biosciences, Watertown, MA, USA.ORCID 0000-0002-3318-0111
Robert H MeltzerFluent Biosciences, Watertown, MA, USA.
Yi XueFluent Biosciences, Watertown, MA, USA.
Corey HayfordFluent Biosciences, Watertown, MA, USA.
Aaron May-ZhangFluent Biosciences, Watertown, MA, USA.ORCID 0000-0002-9017-0657
Chris D'AmatoFluent Biosciences, Watertown, MA, USA.
Ahmad OsmanFluent Biosciences, Watertown, MA, USA.
Jesse Q ZhangFluent Biosciences, Watertown, MA, USA.
Pabodha HettigeFluent Biosciences, Watertown, MA, USA.
Jacob S A IshibashiFluent Biosciences, Watertown, MA, USA.ORCID 0000-0003-2045-4387
Cyrille L DelleyDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA.
Daniel W WeisgerberDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA.
Joseph M ReplogleWhitehead Institute for Biomedical Research, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0003-1832-919X
Marco JostWhitehead Institute for Biomedical Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
Kiet T PhongDepartment of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA.
Vanessa E KennedyDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA.
Cheryl A C PeretzDepartment of Pediatrics, University of California San Francisco, San Francisco, CA, USA.
Esther A KimDivision of Plastic and Reconstructive Surgery, University of California San Francisco, San Francisco, CA, USA.
Siyou SongDivision of Plastic and Reconstructive Surgery, University of California San Francisco, San Francisco, CA, USA.
William KarlonDepartments of Pathology and Laboratory Medicine, University of California San Francisco, San Francisco, CA, USA.
Jonathan S WeissmanWhitehead Institute for Biomedical Research, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0003-2445-670X
Catherine C SmithDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA.
Zev J GartnerDepartment of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA.
Adam R AbateDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA. adam@abatelab.org.ORCID 0000-0001-9614-4831
University of California, San Francisco · USFluent (United States) · USHarvard University · USHoward Hughes Medical Institute · USQB3 · USWhitehead Institute for Biomedical Research · US

Funding

Center for Genomic Editing and Recording: Development and Application of Next-Generation Genome and Epigenome Editing Methods to Advance the Study and Treatment of Human DiseaseRM1HG009490 · NHGRI · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI Brittany S. Adamson, Martin Joseph Ankrah Aryee · 2017 to 2026
$22.7M
Understanding breast cancer progression as a defect in the mechanics of tissue self-organizationU01CA244109 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GARTNER, ZEV JORDAN, GOGA, ANDREI · 2020 to 2024
$3.0M
UCSF Paul Calabresi K12 Career Development Program in Clinical OncologyK12CA260225 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BERGSLAND, EMILY K, BIVONA, TREVER G · 2021 to 2025
$2.6M
Decoding the language of inflammation between central nervous system resident immune cellsDP2AI154435 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI Iain Clark · 2021 to 2026
$2.4M
New tools for highly accessible single cell RNA sequencingR44GM145185 · NIGMS · FLUENT BIOSCIENCES INC. · PI FONTANEZ, KRISTINA · 2022 to 2023
$1.7M
PIPsceq: powering single cell RNA sequencing into the million cell eraR43GM137648 · NIGMS · FLUENT BIOSCIENCES INC. · PI FONTANEZ, KRISTINA · 2020 to 2020
$399k
Anti-cancer drug screening enabled by Pre-templated Instant Partitions and single cell RNA sequencingR43CA239978 · NCI · FLUENT BIOSCIENCES INC. · PI FONTANEZ, KRISTINA · 2019 to 2019
$288k
Single Cell Transcriptomic and Epigenetic Analysis of CD4 T Cells Harboring Latent HIV during Antiretroviral TherapyK22AI152644 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI CLARK, IAIN · 2021 to 2022
$264k
Deciphering the logic of glycolipid signaling at the host-microbiome interfaceK99GM130964 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOST, MARCO · 2019 to 2020
$200k
The role of TMA7 in mitochondrial dysfunctionF31NS115380 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI REPLOGLE, JOSEPH · 2019 to 2020
$75k
NCI NIH HHS K12 CA260225NCI NIH HHS R43 CA239978NCI NIH HHS U01 CA244109NHGRI NIH HHS RM1 HG009490NIAID NIH HHS DP2 AI154435NIAID NIH HHS K22 AI152644NIGMS NIH HHS K99 GM130964NIGMS NIH HHS R43 GM137648NIGMS NIH HHS R44 GM145185NINDS NIH HHS F31 NS115380
6 · The paper itself

Abstract

Current single-cell RNA-sequencing approaches have limitations that stem from the microfluidic devices or fluid handling steps required for sample processing. We develop a method that does not require specialized microfluidic devices, expertise or hardware. Our approach is based on particle-templated emulsification, which allows single-cell encapsulation and barcoding of cDNA in uniform droplet emulsions with only a vortexer. Particle-templated instant partition sequencing (PIP-seq) accommodates a wide range of emulsification formats, including microwell plates and large-volume conical tubes, enabling thousands of samples or millions of cells to be processed in minutes. We demonstrate that PIP-seq produces high-purity transcriptomes in mouse-human mixing studies, is compatible with multiomics measurements and can accurately characterize cell types in human breast tissue compared to a commercial microfluidic platform. Single-cell transcriptional profiling of mixed phenotype acute leukemia using PIP-seq reveals the emergence of heterogeneity within chemotherapy-resistant cell subsets that were hidden by standard immunophenotyping. PIP-seq is a simple, flexible and scalable next-generation workflow that extends single-cell sequencing to new applications.

Indexed as

High-Throughput Nucleotide SequencingMicrofluidicsAnimalsGenomicsHumansMiceSingle-Cell AnalysisTranscriptome

Identifiers

PMID36879006
PMCPMC10635830
OpenAlexW4323320159

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.