ArticleMethods in cell biology2025
Multiplexed cytometry for single cell chemical biology.
Article in Methods in cell biology, 2025. 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.
- Discovery of natural products that modulate signaling in patient-derived cells.RSC chemical biology · 2026Article
- Spirocyclic β-lactone secondary metabolites modulate spliceosome function.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Flow cytometry has great potential for screening in translational research areas due to its deep quantification of cellular features, ability to collect millions of cells in minutes, and consistently expanding suite of validated antibodies that detect cell identity and functions. However, cytometry remains under-utilized in discovery chemical biology due to the differences in expertise between chemistry groups developing chemical libraries and cell biologists developing single cell assays. This chapter is designed to bridge this gap by providing a detailed protocol aimed at both chemistry and biology audiences with the goal of helping train novice researchers. Assay users select from three elements: a small molecule input, a target cell type, and a module of cytometry readouts. For each, we explore basic and advanced examples of inputs, including screening fractionated microbial extracts and pure compounds, and target cells, including primary human blood cells, mouse cells, and cancer cell lines. One such module of cytometry readouts focuses on cell function and measures DNA damage response (γH2AX), growth (phosphorylated S6), DNA content, apoptosis (cleaved Caspase3), cell cycle M phase (phosphorylated Histone H3), and viability (membrane permeabilization). The protocol can also be adapted to measure different functional readouts, such as cell identity or differentiation and contrasting cell injury mechanisms. The protocol is designed to be used in 96-well plate format with fluorescent cell barcoding and the debarcodeR algorithm. Ultimately, the goal is to encourage the next generation of chemical biologists to use functional cell-based cytometry assays in discovery and translational research.
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.