ReviewCurrent opinion in biotechnology2019
Beyond bulk: a review of single cell transcriptomics methodologies and applications.
Review in Current opinion in biotechnology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 199 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
199 citing papers in PubMed.
- Gammaherpesvirus infection of myeloid cells reveals divergent outcomes regulated by host and viral factors.iScience · 2026Article
- The transcriptional cortical response to daily torpor inLife science alliance · 2026Article
- Benchmarking copy number alteration inference methods for spatial transcriptomics.Nature communications · 2026Article
- Integrating short-read and long-read single-cell transcriptomics of pig pituitary reveals mechanisms of high-altitude hypoxia adaptation.PLoS genetics · 2026Article
- RNA Sequencing Technologies in Acute Lymphoblastic Leukemia: A Comparative Technical Review.Current issues in molecular biology · 2026Review
- Review
- Single-cell RNA sequencing in ovarian cancer: decoding the tumor microenvironment for personalized therapy.Journal of ovarian research · 2026Review
- Review
- Monitoring in vivo transcription with synthetic serum markers.Nature communications · 2026Article
- Using an integrated omics approach to uncover the mechanisms underlying chemotherapy-induced peripheral neuropathy (CIPN).Communications medicine · 2026Review
- Single-nucleus RNA sequencing reveals Cntnap2Journal of advanced research · 2026Article
- Probing the Feasibility of Single-Cell Fixed RNA Sequencing from FFPE Tissue.International journal of molecular sciences · 2026Article
- Multi-Scale Transcriptomics Redefining the Tumor Immune Microenvironment.Biotech (Basel (Switzerland)) · 2026Review
- From static definitions to dynamic landscapes: physiological states in yeast.Frontiers in microbiology · 2026Article
- FN1-associated cavernous endothelial remodeling induced by bisphenol A: relevance to erectile dysfunction and attenuation by baicalin.Frontiers in nutrition · 2026Article
- Transforming multi-omics data into images for disease classification: A review of techniques and tools.Journal of pathology informatics · 2026Review
- Single cell transcriptomics reveals dendritic cell subsets in bovine afferent lymph and immune cell-resolved responses to BCG vaccination.Frontiers in immunology · 2026Article
- Crosstalk between innate immune signaling pathways and integrated TLR, NLRP3 inflammasome, cGAS-STING, and NF-κB networks in sepsis.Frontiers in cell and developmental biology · 2026Review
- CKAP2, miR-941, miR-548 and LINC02577 as biomarkers for early diagnosis in colorectal cancer.Scientific reports · 2025Article
- Spatially resolved single-cell transcriptome analysis of murineGut microbes · 2025Article
139 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Single-cell RNA sequencing (scRNA-seq) is a promising approach to study the transcriptomes of individual cells in the brain and the central nervous system (CNS). This technology acts as a bridge between neuroscience, computational biology, and systems biology, enabling an unbiased and novel understanding of the cellular composition of the brain and CNS. Gene expression at the single cell resolution is often noisy, sparse, and high-dimensional, creating challenges for computational analysis of such data. In this review, we overview fundamental sample preparation and data analysis processes of scRNA-seq and provide a comparative perspective for analyzing and visualizing these data.
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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.