ReviewCurrent opinion in genetics & development2010
High-throughput, single-cell NF-κB dynamics.
Review in Current opinion in genetics & development, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed.
- Article
- Rapid, modular, and cost-effective generation of donor DNA constructs for CRISPR-based gene knock-in.Biology methods & protocols · 2020Article
- Neural network control of focal position during time-lapse microscopy of cells.Scientific reports · 2018Article
- NF-κB, the Importance of Being Dynamic: Role and Insights in Cancer.Biomedicines · 2018Review
- Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments.PLoS computational biology · 2016Article
- High-Content Quantification of Single-Cell Immune Dynamics.Cell reports · 2016Article
- Induction of the pro-inflammatory NF-kB-sensitive miRNA-146a by human neurotrophic viruses.Frontiers in microbiology · 2015Article
- The Many Alternative Faces of Macrophage Activation.Frontiers in immunology · 2015Review
- Live cell imaging reveals marked variability in myoblast proliferation and fate.Skeletal muscle · 2013Article
- Light microscopy applications in systems biology: opportunities and challenges.Cell communication and signaling : CCS · 2013Article
- Single-cell and population NF-κB dynamic responses depend on lipopolysaccharide preparation.PloS one · 2013Article
- Observing single cell NF-κB dynamics under stimulant concentration gradient.Analytical chemistry · 2012Article
- Recent advances in single-cell studies of gene regulation.Current opinion in biotechnology · 2012Review
- Automated analysis of NF-κB nuclear translocation kinetics in high-throughput screening.PloS one · 2012Article
- Network topologies and dynamics leading to endotoxin tolerance and priming in innate immune cells.PLoS computational biology · 2012Article
- Hierarchies of NF-κB target-gene regulation.Nature immunology · 2011Review
- Origins of regulated cell-to-cell variability.Nature reviews. Molecular cell biology · 2011Review
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
Single cells in a population often respond differently to perturbations in the environment. Live-cell microscopy has enabled scientists to observe these differences at the single-cell level. Some advantages of live-cell imaging over population-based methods include better time resolution, higher sensitivity, automation, and richer datasets. One specific area where live-cell microscopy has made a significant impact is the field of NF-κB signaling dynamics, and recent efforts have focused on making live-cell imaging of these dynamics more high-throughput. We highlight the major aspects of increasing throughput and describe a current system that can monitor, image and analyze the NF-κB activation of thousands of single cells in parallel.
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.