Evidence map›Paper›PMID 37012420›Full record

ArticleNature microbiology2023

Probe-based bacterial single-cell RNA sequencing predicts toxin regulation.

Ryan McNulty, Duluxan Sritharan, Seong Ho Pahng, Jeffrey P Meisch, Shichen Liu, Melanie A Brennan, Gerda Saxer, Sahand Hormoz, Adam Z Rosenthal

Open access · hybridAbstract read
In one paragraph

Article in Nature microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed
16.9field-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

71 citing papers in PubMed, 110 citations in OpenAlex.

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  17. A Brief Review of Microbial Omics: Methods and Perspectives.Methods in molecular biology (Clifton, N.J.) · 2026
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11 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

9 authors at 5 institutions in 1 country.

Ryan McNulty *IFF Health and Biosciences, Wilmington, DE, USA.
Duluxan Sritharan *Harvard Graduate Program in Biophysics, Harvard University, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-7858-0979
Seong Ho PahngDepartment of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA.
Jeffrey P MeischIFF Health and Biosciences, Wilmington, DE, USA.
Shichen LiuDepartment of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA.
Melanie A BrennanIFF Health and Biosciences, Wilmington, DE, USA.
Gerda SaxerIFF Health and Biosciences, Wilmington, DE, USA.
Sahand HormozDepartment of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA. Sahand_Hormoz@hms.harvard.edu.ORCID http://orcid.org/0000-0002-4384-4428
Adam Z RosenthalIFF Health and Biosciences, Wilmington, DE, USA. Adam_Rosenthal@med.unc.edu.ORCID http://orcid.org/0000-0002-6936-3665
Harvard University · USBroad Institute · USDana-Farber Cancer Institute · USPrinceton University · USUniversity of North Carolina at Chapel Hill · US

Funding

Tracing the lineage histories and differentiation trajectories of individual cancer cells in myeloproliferative neoplasmsR01HL158269 · NHLBI · DANA-FARBER CANCER INST · PI HORMOZ, SAHAND · 2021 to 2025
$2.3M
Lineage-based inference of cell state transition dynamics in development and diseaseR00GM118910 · NIGMS · DANA-FARBER CANCER INST · PI HORMOZ, SAHAND · 2017 to 2019
$747k
NHLBI NIH HHS R01 HL158269NIGMS NIH HHS R00 GM118910
6 · The paper itself

Abstract

Clonal bacterial populations rely on transcriptional variation across individual cells to produce specialized states that increase fitness. Understanding all cell states requires studying isogenic bacterial populations at the single-cell level. Here we developed probe-based bacterial sequencing (ProBac-seq), a method that uses libraries of DNA probes and an existing commercial microfluidic platform to conduct bacterial single-cell RNA sequencing. We sequenced the transcriptome of thousands of individual bacterial cells per experiment, detecting several hundred transcripts per cell on average. Applied to Bacillus subtilis and Escherichia coli, ProBac-seq correctly identifies known cell states and uncovers previously unreported transcriptional heterogeneity. In the context of bacterial pathogenesis, application of the approach to Clostridium perfringens reveals heterogeneous expression of toxin by a subpopulation that can be controlled by acetate, a short-chain fatty acid highly prevalent in the gut. Overall, ProBac-seq can be used to uncover heterogeneity in isogenic microbial populations and identify perturbations that affect pathogenicity.

Indexed as

High-Throughput Nucleotide SequencingTranscriptomeSequence Analysis, RNA

Identifiers

PMID37012420
PMCPMC10159851
OpenAlexW4362521601

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.