ArticleAnalytical chemistry2019
Bacterial Single Cell Whole Transcriptome Amplification in Microfluidic Platform Shows Putative Gene Expression Heterogeneity.
Article in Analytical chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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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.
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.
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Who cites it
19 citing papers in PubMed, 33 citations in OpenAlex.
- Unveiling and stratifying cell cycle-dependent drug efficacy using a single-cell PLOM-CON approach with correlation anomaly and presage protein signals.Communications biology · 2025Article
- Nucleic acid amplification tests in digital microfluidics: the promise of next-generation point-of-care diagnostics.Microsystems & nanoengineering · 2025Review
- Advances in the Relationship Between Skin Tumor Occurrence, Development, Prognosis, and the Human Microbiome.Current microbiology · 2025Review
- Development of advanced control material for reverse transcription-mediated bacterial nucleic acid amplification tests.Journal of clinical microbiology · 2024Article
- Review
- Review
- Non-random genetic alterations in the cyanobacterium Nostoc sp. exposed to space conditions.Scientific reports · 2022Article
- Quantification of Biocatalytic Transformations by Single Microbial Cells Enabled by Tailored Integration of Droplet Microfluidics and Mass Spectrometry.Angewandte Chemie (International ed. in English) · 2022Article
- Interfacing microfluidics with information-rich detection systems for cells, bioparticles, and molecules.Analytical and bioanalytical chemistry · 2022Review
- Whole genome sequencing of cyanobacteriumiScience · 2022Article
- Emerging microfluidic technologies for microbiome research.Frontiers in microbiology · 2022Review
- Amplification of Femtograms of Bacterial DNA Within 3 h Using a Digital Microfluidics Platform for MinION Sequencing.ACS omega · 2021Article
- The epigenetic basis of cellular heterogeneity.Nature reviews. Genetics · 2021Review
- Methods and platforms for analysis of nucleic acids from single-cell based on microfluidics.Microfluidics and nanofluidics · 2021Review
- Article
- Efficient and cost-effective bacterial mRNA sequencing from low input samples through ribosomal RNA depletion.BMC genomics · 2020Article
- Genetic circuit characterization by inferring RNA polymerase movement and ribosome usage.Nature communications · 2020Article
- Microbial single-cell omics: the crux of the matter.Applied microbiology and biotechnology · 2020Review
- What can microfluidics do for human microbiome research?Biomicrofluidics · 2020Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Single cell RNA sequencing is a technology that provides the capability of analyzing the transcriptome of a single cell from a population. So far, single cell RNA sequencing has been focused mostly on human cells due to the larger starting amount of RNA template for subsequent amplification. One of the major challenges of applying single cell RNA sequencing to microbial cells is to amplify the femtograms of the RNA template to obtain sufficient material for downstream sequencing with minimal contamination. To achieve this goal, efforts have been focused on multiround RNA amplification, but would introduce additional contamination and bias. In this work, we for the first time coupled a microfluidic platform with multiple displacement amplification technology to perform single cell whole transcriptome amplification and sequencing of Porphyromonas somerae, a microbe of interest in endometrial cancer, as a proof-of-concept demonstration of using single cell RNA sequencing tool to unveil gene expression heterogeneity in single microbial cells. Our results show that the bacterial single-cell gene expression regulation is distinct across different cells, supporting widespread heterogeneity.
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Registered trials
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.