Evidence map›Paper›PMID 38769144›Full record

ReviewNature protocols2024

ProBac-seq, a bacterial single-cell RNA sequencing methodology using droplet microfluidics and large oligonucleotide probe sets.

Prosenjit Samanta, Samuel F Cooke, Ryan McNulty, Sahand Hormoz, Adam Rosenthal

Abstract readReview
In one paragraph

Review in Nature protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Infection and immunity · 2025
    Review
  5. Review
  6. Microbiome Single Cell Atlases Generated with a Commercial Instrument.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  7. Article
  8. Review
  9. Multi-omics in exploring the pathophysiology of diabetic retinopathy.Frontiers in cell and developmental biology · 2024
    Review
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

5 authors.

Prosenjit SamantaDepartment of Microbiology and Immunology, University of North Carolina, Chapel Hill, NC, USA.ORCID 0000-0002-4612-192X
Samuel F CookeDepartment of Microbiology and Immunology, University of North Carolina, Chapel Hill, NC, USA.
Ryan McNultyLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA.
Sahand HormozDepartment of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA.
Adam RosenthalDepartment of Microbiology and Immunology, University of North Carolina, Chapel Hill, NC, USA. Adam_Rosenthal@med.unc.edu.ORCID 0000-0002-6936-3665

Funding

PILOT AND FEASIBILITY STUDIESP30DK034987 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Temitope O. Keku · 1985 to 2026
$30.5M
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 HL158269NIDDK NIH HHS P30 DK034987NIGMS NIH HHS R00 GM118910U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) R01HL158269U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R00GM118910
6 · The paper itself

Abstract

Methods that measure the transcriptomic state of thousands of individual cells have transformed our understanding of cellular heterogeneity in eukaryotic cells since their introduction in the past decade. While simple and accessible protocols and commercial products are now available for the processing of mammalian cells, these existing technologies are incompatible with use in bacterial samples for several fundamental reasons including the absence of polyadenylation on bacterial messenger RNA, the instability of bacterial transcripts and the incompatibility of bacterial cell morphology with existing methodologies. Recently, we developed ProBac sequencing (ProBac-seq), a method that overcomes these technical difficulties and provides high-quality single-cell gene expression data from thousands of bacterial cells by using messenger RNA-specific probes. Here we provide details for designing large oligonucleotide probe sets for an organism of choice, amplifying probe sets to produce sufficient quantities for repeated experiments, adding unique molecular indexes and poly-A tails to produce finalized probes, in situ probe hybridization and single-cell encapsulation and library preparation. This protocol, from the probe amplification to the library preparation, requires ~7 d to complete. ProBac-seq offers several advantages over other methods by capturing only the desired target sequences and avoiding nondesired transcripts, such as highly abundant ribosomal RNA, thus enriching for signal that better informs on cellular state. The use of multiple probes per gene can detect meaningful single-cell signals from cells expressing transcripts to a lesser degree or those grown in minimal media and other environmentally relevant conditions in which cells are less active. ProBac-seq is also compatible with other organisms that can be profiled by in situ hybridization techniques.

Indexed as

Oligonucleotide ProbesSingle-Cell AnalysisBacteriaMicrofluidicsRNA, BacterialRNA, MessengerSequence Analysis, RNAOligonucleotide ProbesRNA, BacterialRNA, Messenger

Identifiers

PMID38769144
PMCPMC13621791

What OpenQuestion holds

Textmetadata
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.