ReviewNature reviews. Genetics2010
Towards genome-scale signalling network reconstructions.
Review in Nature reviews. Genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 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
58 citing papers in PubMed.
- Time-resolved transcriptomics reveals mechanisms of acute and sustained low-pH adaptation inSynthetic and systems biotechnology · 2026Article
- Biologically informed neural network models are robust to spurious interactions via self-pruning.Bioinformatics (Oxford, England) · 2026Article
- Biologically informed neural network models are robust to spurious interactions via self-pruning.bioRxiv : the preprint server for biology · 2025Article
- Integration of phospho-signaling and transcriptomics in single cells reveals distinct Th17 cell fates.Cell reports · 2025Article
- Evaluating plant growth-defense trade-offs by modeling the interaction between primary and secondary metabolism.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Inference of drug off-target effects on cellular signaling using interactome-based deep learning.iScience · 2024Article
- Translocating proteins compartment-specifically alter the fate of epithelial-mesenchymal transition in a compartmentalized Boolean network model.NPJ systems biology and applications · 2022Article
- Artificial neural networks enable genome-scale simulations of intracellular signaling.Nature communications · 2022Article
- D-Xylose Sensing inInternational journal of molecular sciences · 2021Review
- Transcriptome analysis of the procession from chronic pancreatitis to pancreatic cancer and metastatic pancreatic cancer.Scientific reports · 2021Article
- Current Challenges in Plant Systems Biology.Advances in experimental medicine and biology · 2021Article
- Towards a Systems Biology Approach to Understanding the Lichen Symbiosis: Opportunities and Challenges of Implementing Network Modelling.Frontiers in microbiology · 2021Review
- Systems Biology Approaches Toward Understanding Primary Mitochondrial Diseases.Frontiers in genetics · 2019Review
- REFINING CELLULAR PATHWAY MODELS USING AN ENSEMBLE OF HETEROGENEOUS DATA SOURCES.The annals of applied statistics · 2018Article
- The Key Genes of Chronic Pancreatitis which Bridge Chronic Pancreatitis and Pancreatic Cancer Can be Therapeutic Targets.Pathology oncology research : POR · 2018Article
- Genome-Wide Mapping of Transcriptional Regulation and Metabolism Describes Information-Processing Units inFrontiers in microbiology · 2017Article
- Population Heterogeneity in the Epithelial to Mesenchymal Transition Is Controlled by NFAT and Phosphorylated Sp1.PLoS computational biology · 2016Article
- Systems biology approach: Panacea for unravelling host-virus interactions and dynamics of vaccine induced immune response.Gene reports · 2016Review
- Large-scale models of signal propagation in human cells derived from discovery phosphoproteomic data.Nature communications · 2015Article
- Non-monotonic dynamics and crosstalk in signaling pathways and their implications for pharmacology.Scientific reports · 2015Article
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
Biological signalling networks allow living organisms to issue an integrated response to current conditions and make limited predictions about future environmental changes. Small-scale dynamic models of signalling cascades, including mitogen-activated protein kinase cascades, have been developed to generate hypotheses about signal transduction. Owing to technical limitations, these models and the hypotheses they generate have focused on a limited subset of signalling molecules. Now that we can simultaneously measure a substantial portion of the molecular components of a cell, we can begin to develop and test systems-level models of cellular signalling and regulatory processes, therefore gaining insights into the 'thought' processes of a cell.
Indexed as
Identifiers
20177425What 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.