ArticleScience advances2023
Sequential apoptotic and multiplexed proteomic evaluation of single cancer cells.
Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed, 2 citations in OpenAlex.
- BH3 profiling analyses for functional precision medicine.Oncogenesis · 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
13 authors at 2 institutions in 1 country.
Funding
Abstract
A potential cause of cancer relapse is pretreatment chemoresistant subpopulations. Identifying targetable features of subpopulations that are poorly primed for therapy-induced cell death may improve cancer therapy. Here, we develop and validate real-time BH3 profiling, a live and functional single-cell measurement of pretreatment apoptotic sensitivity that occurs upstream of apoptotic protease activation. On the same single cells, we perform cyclic immunofluorescence, which enables multiplexed immunofluorescence of more than 30 proteins on the same cell. Using cultured cells and rapid ex vivo cultures of colon cancer patient-derived xenograft (PDX) models, we identify Bak as a univariate correlate of apoptotic priming, find that poorly primed subpopulations can correspond to specific stages of the cell cycle, and, in some PDX models, identify increased expression of Bcl-XL, Mcl-1, or Her2 in subpopulations that are poorly primed for apoptosis. Last, we generate and validate mathematical models of single-cell priming that describe how targetable proteins contribute to apoptotic priming.
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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.