ArticleVaccines2021
mDrop-Seq: Massively Parallel Single-Cell RNA-Seq of
Article in Vaccines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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.
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.
Who cites it
16 citing papers in PubMed, 22 citations in OpenAlex.
- Bacterial surface display enables lysis-independent joint host-pathogen single-cell profiling.bioRxiv : the preprint server for biology · 2026Article
- Empowering fungal infection research with single-cell RNA sequencing.Communications biology · 2026Review
- Dissecting microbial communities with single-cell transcriptome analysis.Science (New York, N.Y.) · 2025Review
- Review
- Advances in Single-Cell Sequencing for Infectious Diseases: Progress and Perspectives.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Applications and techniques of single-cell RNA sequencing across diverse species.Briefings in bioinformatics · 2025Review
- Advanced genetic techniques in fungal pathogen research.mSphere · 2024Review
- An ultra high-throughput, massively multiplexable, single-cell RNA-seq platform in yeasts.Yeast (Chichester, England) · 2024Article
- Towards high-throughput parallel imaging and single-cell transcriptomics of microbial eukaryotic plankton.PloS one · 2024Article
- Article
- Computational methods and challenges in analyzing intratumoral microbiome data.Trends in microbiology · 2023Review
- Integration of silicon chip microstructures for in-line microbial cell lysis in soft microfluidics.Lab on a chip · 2023Article
- Fungal biotechnology: From yesterday to tomorrow.Frontiers in fungal biology · 2023Review
- Genome-Wide Analysis of Gene Expression Noise Brought About by Transcriptional Regulation inmSystems · 2022Article
- Estimation of Carbon Metabolism inMicroorganisms · 2022Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Advances in high-throughput single-cell RNA sequencing (scRNA-seq) have been limited by technical challenges such as tough cell walls and low RNA quantity that prevent transcriptomic profiling of microbial species at throughput. We present microbial Drop-seq or mDrop-seq, a high-throughput scRNA-seq technique that is demonstrated on two yeast species,
Indexed as
Identifiers
What OpenQuestion holds
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.