ReviewProteomics2025
Key Considerations on CITE-Seq for Single-Cell Multiomics.
Review in Proteomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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.
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
10 citing papers in PubMed.
- Spatial multi-omics analyses of the tumor immune microenvironment: advances and novel therapeutic avenues.Molecular cancer · 2026Review
- The human limbus functions as an instructive epithelial transition zone.Research square · 2026Article
- Review
- Exploring single-cell and multi-omics technologies and their role in unraveling tumor heterogeneity of hepatocellular carcinoma.Journal of liver cancer · 2026Review
- Genomic innovations in cancer prevention, diagnosis, prognosis and precision therapeutics.Frontiers in genetics · 2026Review
- Single-Cell Sequencing Unravels Pancreatic Cancer: Novel Technologies Reveal Novel Aspects of Cellular Heterogeneity and Inform Therapeutic Strategies.Biomedicines · 2025Review
- Single-Cell Multi-Omics in Type 2 Diabetes Mellitus: Revealing Cellular Heterogeneity and Mechanistic Insights.International journal of molecular sciences · 2025Review
- Key Considerations on CITE-Seq for Single-Cell Multiomics.Proteomics · 2025Review
- Dissecting the mechanisms of MASLD fibrosis in the era of single-cell and spatial omics.The Journal of clinical investigation · 2025Review
- The Application of Single-Cell Technologies for Vaccine Development Against Viral Infections.Vaccines · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
CITE-Seq (Cellular Indexing of Transcriptomes and Epitopes by Sequencing) is an advanced single-cell sequencing method to profile both gene expression and protein abundance simultaneously in individual cells using single-cell mRNA sequencing techniques alongside antibody-derived tags (ADTs), for protein detection. The characterization of both the transcriptome and the proteome from the same cells provides a powerful and multiomic approach for understanding the mechanisms of complex biological processes. This review focuses on the workflow of CITE-Seq using a microwell-based single-cell analysis system as an example and provides key considerations for staining cells with ADTs. By highlighting critical information for CITE-Seq library preparation, sequencing, and data analysis, this review provides a practical guide with which to perform comprehensive CITE-Seq workflow.
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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.