ReviewBiochemistry2012
Measurement and modeling of signaling at the single-cell level.
Review in Biochemistry, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- Article
- A systematic approach to decipher crosstalk in the p53 signaling pathway using single cell dynamics.PLoS computational biology · 2020Article
- Modeling and measurement of signaling outcomes affecting decision making in noisy intracellular networks using machine learning methods.Integrative biology : quantitative biosciences from nano to macro · 2020Article
- Multisite EGFR phosphorylation is regulated by adaptor protein abundances and dimer lifetimes.Molecular biology of the cell · 2020Article
- Mechanistic Model of Signaling Dynamics Across an Epithelial Mesenchymal Transition.Frontiers in physiology · 2020Article
- Counting growth factors in single cells with infrared quantum dots to measure discrete stimulation distributions.Nature communications · 2019Article
- Computation and measurement of cell decision making errors using single cell data.PLoS computational biology · 2017Article
- Single Cell Profiling Using Ionic Liquid Matrix-Enhanced Secondary Ion Mass Spectrometry for Neuronal Cell Type Differentiation.Analytical chemistry · 2017Article
- Morphological single cell profiling of the epithelial-mesenchymal transition.Integrative biology : quantitative biosciences from nano to macro · 2016Article
- Quantitative analysis of receptor tyrosine kinase-effector coupling at functionally relevant stimulus levels.The Journal of biological chemistry · 2015Article
- Article
- Deciphering the mechanism behind Fibroblast Growth Factor (FGF) induced biphasic signal-response profiles.Cell communication and signaling : CCS · 2014Article
- Influence of the microenvironment on cell fate determination and migration.Physiological genomics · 2014Review
- Exhaustively characterizing feasible logic models of a signaling network using Answer Set Programming.Bioinformatics (Oxford, England) · 2013Article
- Diversity training for signal transduction: leveraging cell-to-cell variability to dissect cellular signaling, differentiation and death.Current opinion in biotechnology · 2013Review
- Rule-based modeling: a computational approach for studying biomolecular site dynamics in cell signaling systems.Wiley interdisciplinary reviews. Systems biology and medicineReview
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
It has long been recognized that a deeper understanding of cell function, with respect to execution of phenotypic behaviors and their regulation by the extracellular environment, is likely to be achieved by analyzing the underlying molecular processes for individual cells selected from across a population, rather than averages of many cells comprising that population. In recent years, experimental and computational methods for undertaking these analyses have advanced rapidly. In this review, we provide a perspective on both measurement and modeling facets of biochemistry at a single-cell level. Our central focus is on receptor-mediated signaling networks that regulate cell phenotypic functions.
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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.