ArticleNucleic acids research2021
SC2disease: a manually curated database of single-cell transcriptome for human diseases.
Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 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
59 citing papers in PubMed, 93 citations in OpenAlex.
- RBAD: The first database dedicated alterations of blood RNA in individuals with Alzheimer's disease and their clinical relevance.Neural regeneration research · 2026Article
- TEDD 2.0: an advanced temporal gene expression database enabled by in-silico functional analyses for developmental mechanism investigation.Science China. Life sciences · 2026Article
- scMOVIR: a single-cell multi-omics database for human viral infections and immune responses.Nucleic acids research · 2026Article
- scVMAP: a comprehensive platform for integrating single-cell chromatin accessibility regions with causal variants.Nucleic acids research · 2026Article
- scBrainScope: cross-species multidimensional brain atlas.Nucleic acids research · 2026Article
- DisCP-Atlas: a comprehensive resource mapping cellular processes to complex diseases.Nucleic acids research · 2026Article
- Panmim: a resource of pan-cancer metastasis immune microenvironment.Journal of translational medicine · 2025Article
- Navigating single-cell RNA-sequencing: protocols, tools, databases, and applications.Genomics & informatics · 2025Review
- NTCdb: Single-cell transcriptome database of human inflammatory-associated diseases.Computational and structural biotechnology journal · 2024Article
- Deciphering breast cancer dynamics: insights from single-cell and spatial profiling in the multi-omics era.Biomarker research · 2024Review
- Comprehensive analysis and identification of subtypes and hub genes of high immune response in lung adenocarcinoma.BMC pulmonary medicine · 2024Article
- A single-cell and spatial RNA-seq database for Alzheimer's disease (ssREAD).Nature communications · 2024Article
- A Single-cell and Spatial RNA-seq Database for Alzheimer's Disease (ssREAD).bioRxiv : the preprint server for biology · 2024Article
- scMoresDB: A comprehensive database of single-cell multi-omics data for human respiratory system.iScience · 2024Article
- Cystitis glandularis with concomitant Crohn's disease leading to a paroxysm of Crohn's disease with ulcerated external iliac vessels.BMC urology · 2024Article
- A Systematic Overview of Single-Cell Transcriptomics Databases, their Use cases, and Limitations.ArXiv · 2024Article
- Article
- scATAC-Ref: a reference of scATAC-seq with known cell labels in multiple species.Nucleic acids research · 2024Article
- SCAN: Spatiotemporal Cloud Atlas for Neural cells.Nucleic acids research · 2024Article
- A systematic overview of single-cell transcriptomics databases, their use cases, and limitations.Frontiers in bioinformatics · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
SC2disease (http://easybioai.com/sc2disease/) is a manually curated database that aims to provide a comprehensive and accurate resource of gene expression profiles in various cell types for different diseases. With the development of single-cell RNA sequencing (scRNA-seq) technologies, uncovering cellular heterogeneity of different tissues for different diseases has become feasible by profiling transcriptomes across cell types at the cellular level. In particular, comparing gene expression profiles between different cell types and identifying cell-type-specific genes in various diseases offers new possibilities to address biological and medical questions. However, systematic, hierarchical and vast databases of gene expression profiles in human diseases at the cellular level are lacking. Thus, we reviewed the literature prior to March 2020 for studies which used scRNA-seq to study diseases with human samples, and developed the SC2disease database to summarize all the data by different diseases, tissues and cell types. SC2disease documents 946 481 entries, corresponding to 341 cell types, 29 tissues and 25 diseases. Each entry in the SC2disease database contains comparisons of differentially expressed genes between different cell types, tissues and disease-related health status. Furthermore, we reanalyzed gene expression matrix by unified pipeline to improve the comparability between different studies. For each disease, we also compare cell-type-specific genes with the corresponding genes of lead single nucleotide polymorphisms (SNPs) identified in genome-wide association studies (GWAS) to implicate cell type specificity of the traits.
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.