ArticleMethods in molecular biology (Clifton, N.J.)2020
Profiling Cell Type Abundance and Expression in Bulk Tissues with CIBERSORTx.
Article in Methods in molecular biology (Clifton, N.J.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 387 papers, 3 of them syntheses that pooled it.
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Who cites it
387 citing papers in PubMed, 3 syntheses or guidelines pooled it.
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- Extracellular Matrix-MYCAF Signatures Correlate with Resistance to Neoadjuvant aPD-L1 Immune Checkpoint Inhibition with Durvalumab + Metformin in HPV+ HNSCC.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025Trial
- An international phase II trial and immune profiling of SBRT and atezolizumab in advanced pretreated colorectal cancer.Molecular cancer · 2024Trial
- Identification of Prognostic Factors and Regulatory Pathways in Porto-Sinusoidal Vascular Disorder.Liver international : official journal of the International Association for the Study of the Liver · 2026Article
- Article
- Unveiling the molecular and immune heterogeneity across distinct disease activity states of systemic lupus erythematosus through integrative bulk and single-cell transcriptomics.Lupus science & medicine · 2026Article
- Single-cell and bulk transcriptomic profiling of metabolism-related lncRNAs reveals tumor heterogeneity and prognostic markers in non-small cell lung cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Article
- Dissecting diffuse large B-cell lymphoma heterogeneity: New insights from a state-specific molecular characterisation.Clinical and translational medicine · 2026Article
- Transcriptomic profiling of human brown and white adipose tissue depots.Nature communications · 2026Article
- Suppression of the myofibroblastic cancer-associated fibroblast phenotype to enhance anti-PD-1 response.Journal of experimental & clinical cancer research : CR · 2026Article
- Cross-cohort projection of clinically anchored latent risk enables multi-omics interpretation without refitting.Briefings in bioinformatics · 2026Article
- Genetic and transcriptomic determinants of disseminated coccidioidomycosis identify a founder variant inmedRxiv : the preprint server for health sciences · 2026Article
- Multimodal evidence for a mechanistic model of working memory deficits in schizophrenia.medRxiv : the preprint server for health sciences · 2026Article
- Spatial transcriptomics reveals compartment-specific cytotoxic T cell crosstalk with AT2 and goblet cells in advanced COPD.Biomarker research · 2026Article
- Mucosal-associated invariant T cells promote PDAC progression via TL1A-CSF-1 axis.Journal of gastroenterology · 2026Article
- Insufficient ferroptosis in radiation-induced tumor cells promote Treg cell generation to induce radiotherapy resistance.Communications biology · 2026Article
- Understanding the spatial determinants of the Oxford Classic prognostic signature for high-grade serous ovarian cancer.Communications medicine · 2026Article
- Multi-ancestry transcriptome-wide association study reveals shared and population-specific genetic effects in Alzheimer disease.American journal of human genetics · 2026Article
327 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
CIBERSORTx is a suite of machine learning tools for the assessment of cellular abundance and cell type-specific gene expression patterns from bulk tissue transcriptome profiles. With this framework, single-cell or bulk-sorted RNA sequencing data can be used to learn molecular signatures of distinct cell types from a small collection of biospecimens. These signatures can then be repeatedly applied to characterize cellular heterogeneity from bulk tissue transcriptomes without physical cell isolation. In this chapter, we provide a detailed primer on CIBERSORTx and demonstrate its capabilities for high-throughput profiling of cell types and cellular states in normal and neoplastic tissues.
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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.