ArticleiScience2020
Exploration of Cell Development Pathways through High-Dimensional Single Cell Analysis in Trajectory Space.
Article in iScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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.
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Who cites it
13 citing papers in PubMed.
- Heterogeneity of the intestinal mononuclear phagocyte compartment in health and inflammatory bowel disease.Science immunology · 2025Article
- In vivo regulation of the monocyte phenotype by Mycobacterium marinum and the ESX-1 type VII secretion system.Scientific reports · 2025Article
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- Clinical immunity to malaria involves epigenetic reprogramming of innate immune cells.PNAS nexus · 2024Article
- Article
- Mass-Cytometry-Based Quantification of Global Histone Post-Translational Modifications at Single-Cell Resolution Across Peripheral Immune Cells in IBD.Journal of Crohn's & colitis · 2023Article
- The small and large intestine contain related mesenchymal subsets that derive from embryonic Gli1Nature communications · 2023Article
- Claudin5 protects the peripheral endothelial barrier in an organ and vessel-type-specific manner.eLife · 2022Article
- Visualization, benchmarking and characterization of nested single-cell heterogeneity as dynamic forest mixtures.Briefings in bioinformatics · 2022Article
- Article
- Single-Cell Analysis of Blood-Brain Barrier Response to Pericyte Loss.Circulation research · 2021Article
- A molecular map of murine lymph node blood vascular endothelium at single cell resolution.Nature communications · 2020Article
- A Single-Cell Transcriptional Roadmap of the Mouse and Human Lymph Node Lymphatic Vasculature.Frontiers in cardiovascular medicine · 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
7 authors.
Funding
Abstract
High-dimensional single cell profiling coupled with computational modeling is emerging as a powerful tool to elucidate developmental programs directing cell lineages. We introduce tSpace, an algorithm based on the concept of "trajectory space", in which cells are defined by their distance along nearest neighbor pathways to every other cell in a population. Graphical mapping of cells in trajectory space allows unsupervised reconstruction and exploration of complex developmental sequences. Applied to flow and mass cytometry data, the method faithfully reconstructs thymic T cell development and reveals development and trafficking regulation of tonsillar B cells. Applied to the single cell transcriptome of mouse intestine and C. elegans, the method recapitulates development from intestinal stem cells to specialized epithelial phenotypes more faithfully than existing algorithms and orders C. elegans cells concordantly to the associated embryonic time. tSpace profiling of complex populations is well suited for hypothesis generation in developing cell systems.
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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.