ArticleNature biotechnology2021
Cell type prioritization in single-cell data.
Article in Nature biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05942339 (Study on Preliminary Safety and Efficacy of the ARC Therapy Using the ARC-IM Lumbar System to Support Mobility in People With Chronic Spinal Cord Injury), which is not on this map. Cited by 173 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.
Study on Preliminary Safety and Efficacy of the ARC Therapy Using the ARC-IM Lumbar System to Support Mobility in People With Chronic Spinal Cord Injury
Who cites it
173 citing papers in PubMed, 249 citations in OpenAlex.
- Quercetin Reduces Vascular Senescence and Inflammation in Symptomatic Male but Not Female Coronary Artery Disease Patients.Aging cell · 2025Trial
- Differential immune responses in pregnant patients recovered from COVID-19.Signal transduction and targeted therapy · 2021Trial
- Single-cell RNA sequencing reveals dysregulation of innate immune signaling in early-life respiratory syncytial virus infection with subsequent low-level cadmium exposure.Toxicology reports · 2026Article
- Single nucleus multiomics reveals an early inflammatory response to high-fat diet in mouse islets.Life science alliance · 2026Article
- Drought and salinity stress remodel Asian rice (Oryza sativa) leaf development through cell-type-specific regulatory programs.The New phytologist · 2026Article
- Quantifying distribution shifts in single-cell data with scXMatch.Bioinformatics (Oxford, England) · 2026Article
- AI-based characterization of Alzheimer's disease phenotypes from population-scale single-cell data.Nature medicine · 2026Article
- A statistical framework for disease classification with scRNA-Seq Data.bioRxiv : the preprint server for biology · 2026Article
- IGF2-associated tumor cells and APOE-positive macrophages define an imatinib resistance-associated niche in gastrointestinal stromal tumors.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2026Article
- Article
- Article
- scGPA: an LLM-assisted workflow for directional virtual gene perturbation analysis from single-cell transcriptomes.BMC genomics · 2026Article
- Differential transcriptomic and metabolomic landscape between human hearts donated after cardiac vs brain death.The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation · 2026Article
- Quantitative molecular cartography of emergency myelopoiesis reveals conserved modules of hematopoietic activation.Cell stem cell · 2026Article
- Single Cell RNA Sequencing Reveals THBS1+CD14+ Monocyte Modulates Inflammatory Activation via NRLP3-Inflammasome in Congenital Heart Block.Journal of cellular and molecular medicine · 2026Article
- Article
- Article
- Condition-Associated Pattern Extraction and Recovery From Multi-Condition Single-Cell RNA-seq Data With CAPER.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Semaglutide targets muscle mitochondria to regulate glutamine metabolism and treat osteoarthritis.iScience · 2026Article
- Profiling the molecular and physiological effects of senolytic treatment on aged mice identifies immune, fibrotic and metabolic remodeling.Nature aging · 2026Article
113 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
14 authors at 6 institutions in 3 countries.
Funding
Abstract
We present Augur, a method to prioritize the cell types most responsive to biological perturbations in single-cell data. Augur employs a machine-learning framework to quantify the separability of perturbed and unperturbed cells within a high-dimensional space. We validate our method on single-cell RNA sequencing, chromatin accessibility and imaging transcriptomics datasets, and show that Augur outperforms existing methods based on differential gene expression. Augur identified the neural circuits restoring locomotion in mice following spinal cord neurostimulation.
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.