ArticleNature communications2019
Functional interpretation of single cell similarity maps.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 154 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
154 citing papers in PubMed.
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- Vascular and lymphatic dysregulation via non-EndoMT Col2a1 signaling in bisphosphonate-related osteonecrosis of the jaw.Nature communications · 2026Article
- Single-nucleus analysis of human white adipose tissue reveals adipocyte subsets with distinct metabolic profiles.Nature communications · 2026Article
- Temporal single-cell transcriptional dynamics of murine pancreatic islet remodeling during hyperglycaemia progression.Molecular metabolism · 2026Article
- Single-nucleus multi-omics dissection of dysregulated trophoblast development and disrupted immune microenvironment in complete hydatidiform moles.Science China. Life sciences · 2026Article
- PathwayEmbed: a computational tool to quantify intracellular signaling transduction states from transcriptomic data.Bioinformatics (Oxford, England) · 2026Article
- Recurrence in the chemotherapy regimen of bladder carcinoma originates from quiescent epidermoid-like cells.Nature communications · 2026Article
- Mapping neuro-vascular unit communications reveals distinct angiogenic programs across developing mouse brain regions.Nature communications · 2026Article
- Heterogeneous, population-level drug-tolerant persisters exhibit ion-channel remodeling and ferroptosis susceptibility.bioRxiv : the preprint server for biology · 2026Article
- Tissue-resident Limosilactobacillus reuteri modulates intratumoral arachidonic acid metabolism to enhance CD8Journal of translational medicine · 2026Article
- Expansion and mobilization of virus-specific stem-like CD8 T cells in chronic viral infection after treatment with a long-acting IL-7, NT-I7.Cell reports · 2026Article
- crocketa: an automated Snakemake framework for integrated single-cell transcriptome and immune-repertoire analysis.BMC genomics · 2026Article
- FIP200 regulates plasma B cell differentiation via mitochondrial and heme homeostasis.The Journal of experimental medicine · 2026Article
- Metabolic quiescence of naive-like memory T cells precedes and maintains antigen-specific T cell memory.Nature immunology · 2026Article
- Pyruvate Dehydrogenase and Cellular Metabolism in Calcineurin Inhibitor-Induced Kidney Fibrosis.Journal of the American Society of Nephrology : JASN · 2026Article
- Unraveling the role of polyamine metabolism in postoperative delirium: insights into biochemical mechanisms and biomarker potential.npj aging · 2026Article
- Integrated Single-Cell Analysis Identifies IL1RAP as a Master Regulator of TAMs and a Prognostic Biomarker in Breast Cancer.International journal of molecular sciences · 2026Article
- De novo H3.3K27M-altered diffuse midline glioma in human brainstem organoids to dissect GD2 CAR T cell function.Nature cancer · 2026Article
94 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
6 authors.
Funding
Abstract
We present Vision, a tool for annotating the sources of variation in single cell RNA-seq data in an automated and scalable manner. Vision operates directly on the manifold of cell-cell similarity and employs a flexible annotation approach that can operate either with or without preconceived stratification of the cells into groups or along a continuum. We demonstrate the utility of Vision in several case studies and show that it can derive important sources of cellular variation and link them to experimental meta-data even with relatively homogeneous sets of cells. Vision produces an interactive, low latency and feature rich web-based report that can be easily shared among researchers, thus facilitating data dissemination and collaboration.
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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.