ArticlePLoS biology2018
Quantitative assessment of cell population diversity in single-cell landscapes.
Article in PLoS biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 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
30 citing papers in PubMed.
- Endocardial TIE2 orchestrates cardiac trabeculation via sequestering FOXO1 within the cytoplasm and stimulating versican cleavage.Development (Cambridge, England) · 2026Article
- Pro-regenerative fingerprints identified in a sub-population of adult mouse cardiomyocytes by integrative single-cell proteomics.Genome biology · 2026Article
- Heterogeneous, population-level drug-tolerant persisters exhibit ion-channel remodeling and ferroptosis susceptibility.bioRxiv : the preprint server for biology · 2026Article
- Single-cell RNA sequencing and proteomics uncover SIRPα-CD47 immune checkpoint and glycolysis-driven immune evasion in cardiac myxoma.Frontiers in immunology · 2025Article
- Metabolic Stress Levels Influence the Ability of Myelin Transcription Factors to Regulate β-Cell Identity and Survival.Diabetes · 2024Article
- Identification and multimodal characterization of a specialized epithelial cell type associated with Crohn's disease.Nature communications · 2024Article
- A Specialized Epithelial Cell Type Regulating Mucosal Immunity and Driving Human Crohn's Disease.bioRxiv : the preprint server for biology · 2023Article
- Article
- Th17.1 cell driven sarcoidosis-like inflammation after anti-BCMA CAR T cells in multiple myeloma.Leukemia · 2023Article
- Detecting retinal neural and stromal cell classes and ganglion cell subtypes based on transcriptome data with deep transfer learning.Bioinformatics (Oxford, England) · 2022Article
- MTG16 regulates colonic epithelial differentiation, colitis, and tumorigenesis by repressing E protein transcription factors.JCI insight · 2022Article
- Defining the early stages of intestinal colonisation by whipworms.Nature communications · 2022Article
- Comprehensive evaluation of noise reduction methods for single-cell RNA sequencing data.Briefings in bioinformatics · 2022Article
- The Tsallis generalized entropy enhances the interpretation of transcriptomics datasets.PloS one · 2022Article
- Cancer-Associated Fibroblasts and Squamous Epithelial Cells Constitute a Unique Microenvironment in a Mouse Model of Inflammation-Induced Colon Cancer.Frontiers in oncology · 2022Article
- Article
- Automated quality control and cell identification of droplet-based single-cell data using dropkick.Genome research · 2021Article
- Tensor-Decomposition-Based Unsupervised Feature Extraction in Single-Cell Multiomics Data Analysis.Genes · 2021Article
- Optimal Estimation of Wasserstein Distance on A Tree with An Application to Microbiome Studies.Journal of the American Statistical Association · 2021Article
- Clinically adaptable polymer enables simultaneous spatial analysis of colonic tissues and biofilms.NPJ biofilms and microbiomes · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
Single-cell RNA sequencing (scRNA-seq) has become a powerful tool for the systematic investigation of cellular diversity. As a number of computational tools have been developed to identify and visualize cell populations within a single scRNA-seq dataset, there is a need for methods to quantitatively and statistically define proportional shifts in cell population structures across datasets, such as expansion or shrinkage or emergence or disappearance of cell populations. Here we present sc-UniFrac, a framework to statistically quantify compositional diversity in cell populations between single-cell transcriptome landscapes. sc-UniFrac enables sensitive and robust quantification in simulated and experimental datasets in terms of both population identity and quantity. We have demonstrated the utility of sc-UniFrac in multiple applications, including assessment of biological and technical replicates, classification of tissue phenotypes and regional specification, identification and definition of altered cell infiltrates in tumorigenesis, and benchmarking batch-correction tools. sc-UniFrac provides a framework for quantifying diversity or alterations in cell populations across conditions and has broad utility for gaining insight into tissue-level perturbations at the single-cell resolution.
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.