Evidence map›Paper›PMID 33335020›Full record

ArticleScience (New York, N.Y.)2021

Microbial single-cell RNA sequencing by split-pool barcoding.

Anna Kuchina, Leandra M Brettner, Luana Paleologu, Charles M Roco, Alexander B Rosenberg, Alberto Carignano, Ryan Kibler, Matthew Hirano, R William DePaolo, Georg Seelig

Open access · greenAbstract read
In one paragraph

Article in Science (New York, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 202 papers.

0numbers the graph read from it
0cells of the map it votes in
202citing papers in PubMed
39.3field-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

202 citing papers in PubMed, 324 citations in OpenAlex.

  1. Review
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  11. Fast, StreamlinedChemical & biomedical imaging · 2026
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142 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Anna Kuchina *Department of Electrical and Computer Engineering, University of Washington, Seattle, WA, USA.ORCID https://orcid.org/0000-0002-7267-101X
Leandra M Brettner *Department of Bioengineering, University of Washington, Seattle, WA, USA.ORCID https://orcid.org/0000-0001-8824-4066
Luana PaleologuDepartment of Microbiology, University of Washington, Seattle, WA, USA.
Charles M RocoDepartment of Bioengineering, University of Washington, Seattle, WA, USA.ORCID https://orcid.org/0000-0002-6493-000X
Alexander B RosenbergDepartment of Electrical and Computer Engineering, University of Washington, Seattle, WA, USA.ORCID https://orcid.org/0000-0003-2276-2412
Alberto CarignanoDepartment of Electrical and Computer Engineering, University of Washington, Seattle, WA, USA.ORCID https://orcid.org/0000-0003-3306-9365
Ryan KiblerBiological Physics, Structure, and Design, University of Washington, Seattle, WA, USA.ORCID https://orcid.org/0000-0001-6984-9887
Matthew HiranoDepartment of Electrical and Computer Engineering, University of Washington, Seattle, WA, USA.ORCID https://orcid.org/0000-0002-8652-7203
R William DePaoloCenter for Microbiome Sciences and Therapeutics, School of Medicine, University of Washington, Seattle, WA, USA.ORCID https://orcid.org/0000-0002-3880-4544
Georg SeeligDepartment of Electrical and Computer Engineering, University of Washington, Seattle, WA, USA. gseelig@uw.edu.ORCID https://orcid.org/0000-0002-3163-8782
University of Washington · US

Funding

Predictive Modeling of Alternative Splicing and Polyadenylation from Millions of Random SequencesR01HG009136 · NHGRI · UNIVERSITY OF WASHINGTON · PI SEELIG, GEORG, SHENDURE, JAY ASHOK · 2017 to 2020
$2.3M
Endogenous TLR1 signals prevent uncontrolled innate immunity in the colonR01DK104908 · NIDDK · UNIVERSITY OF WASHINGTON · PI DEPAOLO, R WILLIAM · 2015 to 2019
$1.8M
A predictive model of mRNA stability and translation for variant interpretation and mRNA therapeuticsR01HG009892 · NHGRI · UNIVERSITY OF WASHINGTON · PI SEELIG, GEORG · 2018 to 2020
$1.4M
NHGRI NIH HHS R01 HG009136NHGRI NIH HHS R01 HG009892NIDDK NIH HHS R01 DK104908
6 · The paper itself

Abstract

Single-cell RNA sequencing (scRNA-seq) has become an essential tool for characterizing gene expression in eukaryotes, but current methods are incompatible with bacteria. Here, we introduce microSPLiT (microbial split-pool ligation transcriptomics), a high-throughput scRNA-seq method for Gram-negative and Gram-positive bacteria that can resolve heterogeneous transcriptional states. We applied microSPLiT to >25,000

Indexed as

Gene Expression Regulation, BacterialAnti-Bacterial AgentsBacillus PhagesBacillus subtilisCarbonCulture MediaEscherichia coliFermentationGluconeogenesisGlycolysisHeat-Shock ResponseInositolIon TransportMetabolic Networks and PathwaysMetalsMovementAnti-Bacterial AgentsCarbonCulture MediaInositolMetalsRNA, Bacterial

Identifiers

PMID33335020
PMCPMC8269303
OpenAlexW3114522069

What OpenQuestion holds

Textmetadata
LicenceTDM
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.