ReviewCell cycle (Georgetown, Tex.)2010
Cell death goes LIVE: technological advances in real-time tracking of cell death.
Review in Cell cycle (Georgetown, Tex.), 2010. 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
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
10 citing papers in PubMed.
- Application of an open-chamber multi-channel microfluidic device to test chemotherapy drugs.Scientific reports · 2020Article
- A multivariate, quantitative assay that disentangles key kinetic parameters of primary human T cell function in vitro.PloS one · 2020Article
- Multivariate analysis of apoptotic markers versus cell cycle phase in living human cancer cells by microfluidic cytometry.Proceedings of SPIE--the International Society for Optical Engineering · 2013Article
- Retinitis pigmentosa: rapid neurodegeneration is governed by slow cell death mechanisms.Cell death & disease · 2013Article
- Real-time cell viability assays using a new anthracycline derivative DRAQ7®.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2013Article
- Cytometry of apoptosis. Historical perspective and new advances.Experimental oncology · 2012Review
- Rise of the micromachines: microfluidics and the future of cytometry.Methods in cell biology · 2011Article
- New biomarkers probing depth of cell senescence assessed by laser scanning cytometry.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2010Article
- Cytometry of the cell cycle: In search for perfect methodology for DNA content analysis in tissue specimens.Cell cycle (Georgetown, Tex.) · 2010Article
- DNA damage signaling assessed in individual cells in relation to the cell cycle phase and induction of apoptosis.Critical reviews in clinical laboratory sciencesReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Cell population can be viewed as a quantum system, which like Schrödinger's cat exists as a combination of survival- and death-allowing states. Tracking and understanding cell-to-cell variability in processes of high spatio-temporal complexity such as cell death is at the core of current systems biology approaches. As probabilistic modeling tools attempt to impute information inaccessible by current experimental approaches, advances in technologies for single-cell imaging and omics (proteomics, genomics, metabolomics) should go hand in hand with the computational efforts. Over the last few years we have made exciting technological advances that allow studies of cell death dynamically in real-time and with the unprecedented accuracy. These approaches are based on innovative fluorescent assays and recombinant proteins, bioelectrical properties of cells, and more recently also on state-of-the-art optical spectroscopy. Here, we review current status of the most innovative analytical technologies for dynamic tracking of cell death, and address the interdisciplinary promises and future challenges of these methods.
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.