ArticleCell signaling2024
Sample multiplexing in CyTOF: Path to optimize single-cell proteomic profiling.
Article in Cell signaling, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Development of a unified mass cytometry assay integrating activation-induced markers (AIMs) and cytokine profiling for high-throughput assessment of antigen-specific T cell responses.Human vaccines & immunotherapeutics · 2026Article
- Integrating Single-Cell Sequencing and Proteomics to Unravel Stem Cell Heterogeneity: Implications for Precision Regenerative Medicine.Stem cell reviews and reports · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Sample multiplexing significantly enhanced the depth of single-cell proteomic analysis in CyTOF (Cytometry by Time-Of-Flight). New polymer-based chelators have broadened the utility of metal isotopes, enabling improved tagging and simultaneous analysis of multiple samples. These approaches minimize batch effects, streamline experiments, conserve valuable samples, reduce costs, enhance throughput, and increase the accuracy of biological data, thereby facilitating novel discoveries.
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.