| scholarly article | Q13442814 |
| P6179 | Dimensions Publication ID | 1016459201 |
| P356 | DOI | 10.1038/NATURE05316 |
| P2888 | exact match | https://scigraph.springernature.com/pub.10.1038/nature05316 |
| P698 | PubMed publication ID | 17122776 |
| P5875 | ResearchGate publication ID | 6674938 |
| P50 | author | Uri Alon | Q7900508 |
| Ron Milo | Q25497116 | ||
| P2093 | author name string | Ariel Cohen | |
| Alex Sigal | |||
| Naama Geva-Zatorsky | |||
| Tamar Danon | |||
| Yuvalal Liron | |||
| Natalie Perzov | |||
| Nitzan Rosenfeld | |||
| Yael Klein | |||
| P2860 | cites work | Dynamic proteomics in individual human cells uncovers widespread cell-cycle dependence of nuclear proteins | Q24294506 |
| Noise minimization in eukaryotic gene expression | Q24792798 | ||
| Improved monomeric red, orange and yellow fluorescent proteins derived from Discosoma sp. red fluorescent protein | Q27861056 | ||
| Stochastic gene expression in a single cell | Q28131784 | ||
| Single-cell proteomic analysis of S. cerevisiae reveals the architecture of biological noise | Q29615953 | ||
| Gene regulation at the single-cell level | Q29615954 | ||
| Control of stochasticity in eukaryotic gene expression | Q29615955 | ||
| Regulation of noise in the expression of a single gene | Q29616626 | ||
| Stochasticity in gene expression: from theories to phenotypes | Q29617360 | ||
| Noise in eukaryotic gene expression | Q29617406 | ||
| Stochastic mechanisms in gene expression | Q29617407 | ||
| Bacterial persistence as a phenotypic switch | Q29618111 | ||
| The biochemical basis of an all-or-none cell fate switch in Xenopus oocytes | Q29619826 | ||
| Ultrasensitivity and noise propagation in a synthetic transcriptional cascade. | Q33926820 | ||
| A protein trap strategy to detect GFP-tagged proteins expressed from their endogenous loci in Drosophila. | Q33952883 | ||
| Summing up the noise in gene networks | Q34293479 | ||
| Noise propagation in gene networks | Q34406341 | ||
| Enhancement of cellular memory by reducing stochastic transitions | Q34418258 | ||
| Regulated cell-to-cell variation in a cell-fate decision system | Q34451943 | ||
| Real-time kinetics of gene activity in individual bacteria | Q34477297 | ||
| Noise in protein expression scales with natural protein abundance | Q34528937 | ||
| ENZYME INDUCTION AS AN ALL-OR-NONE PHENOMENON | Q37617203 | ||
| In vivo functional proteomics: mammalian genome annotation using CD-tagging | Q42808909 | ||
| Origins of extrinsic variability in eukaryotic gene expression | Q46189027 | ||
| Resilient circadian oscillator revealed in individual cyanobacteria | Q47259077 | ||
| Non-genetic individuality: chance in the single cell | Q50227156 | ||
| Gene network shaping of inherent noise spectra. | Q51278090 | ||
| P433 | issue | 7119 | |
| P407 | language of work or name | English | Q1860 |
| P304 | page(s) | 643-646 | |
| P577 | publication date | 2006-11-19 | |
| P1433 | published in | Nature | Q180445 |
| P1476 | title | Variability and memory of protein levels in human cells | |
| P478 | volume | 444 |
| Q21145225 | "Myc'ed messages": myc induces transcription of E2F1 while inhibiting its translation via a microRNA polycistron |
| Q42018625 | A computational systems biology software platform for multiscale modeling and simulation: integrating whole-body physiology, disease biology, and molecular reaction networks. |
| Q92624250 | A general approach for detecting expressed mutations in AML cells using single cell RNA-sequencing |
| Q47099150 | A mathematical model for histamine synthesis, release, and control in varicosities. |
| Q50689581 | A novel method for quantitative measurements of gene expression in single living cells. |
| Q35603499 | A power-law dependence of bacterial invasion on mammalian host receptors |
| Q34141247 | A proteome comparison between physiological angiogenesis and angiogenesis in glioblastoma. |
| Q35170512 | Abundance and distribution of RNA polymerase II in Arabidopsis interphase nuclei. |
| Q58049928 | An Accelerated Method for Simulating Population Dynamics |
| Q34576707 | An agent-based model of cellular dynamics and circadian variability in human endotoxemia |
| Q29654144 | Aneuploidy Causes Non-genetic Individuality |
| Q52672344 | Antibiotic-induced population fluctuations and stochastic clearance of bacteria. |
| Q34918790 | Assumptions and properties of limiting pathway models for analysis of epistasis in complex traits |
| Q42824795 | Automated live cell imaging of green fluorescent protein degradation in individual fibroblasts |
| Q34394210 | Balancing speed and accuracy of polyclonal T cell activation: a role for extracellular feedback. |
| Q39690679 | Bcl-2 inhibits apoptosis by increasing the time-to-death and intrinsic cell-to-cell variations in the mitochondrial pathway of cell death |
| Q37117875 | Behavioral diversity in microbes and low-dimensional phenotypic spaces |
| Q33301005 | Bistability and oscillations in the Huang-Ferrell model of MAPK signaling |
| Q37167786 | Bistable switches control memory and plasticity in cellular differentiation |
| Q36437062 | Bottom-up construction of in vitro switchable memories. |
| Q37372564 | CHO microRNA engineering is growing up: recent successes and future challenges |
| Q39449340 | Cell cycle dependent TN-C promoter activity determined by live cell imaging |
| Q34540440 | Cell cycle proliferation decisions: the impact of single cell analyses |
| Q47556336 | Cell-specific responses to the cytokine TGFβ are determined by variability in protein levels |
| Q92987473 | Cell-state dynamics and therapeutic resistance in melanoma from the perspective of MITF and IFNγ pathways |
| Q33327696 | Cell-to-cell stochastic variation in gene expression is a complex genetic trait. |
| Q45991624 | Cell-to-cell variation sets a tissue-rheology-dependent bound on collective gradient sensing. |
| Q37003894 | Cells surviving fractional killing by TRAIL exhibit transient but sustainable resistance and inflammatory phenotypes |
| Q58776157 | Cellular function given parametric variation in the Hodgkin and Huxley model of excitability |
| Q30401785 | Cellular heterogeneity and live cell arrays |
| Q27937995 | Cellular memory of acquired stress resistance in Saccharomyces cerevisiae |
| Q90123582 | Chromosome-wide co-fluctuation of stochastic gene expression in mammalian cells |
| Q30429353 | Co-detection and sequencing of genes and transcripts from the same single cells facilitated by a microfluidics platform |
| Q94581112 | Codon usage similarity between viral and some host genes suggests a codon-specific translational regulation |
| Q49189286 | Coherent feedforward transcriptional regulatory motifs enhance drug resistance. |
| Q28474763 | Cohesin Is limiting for the suppression of DNA damage-induced recombination between homologous chromosomes |
| Q52592413 | Collective gradient sensing and chemotaxis: Modeling and recent developments. |
| Q36713989 | Colored extrinsic fluctuations and stochastic gene expression |
| Q31053995 | Complex dynamics of transcription regulation |
| Q37625056 | Complexity and Diversity of the Mammalian Sialome Revealed by Nidovirus Virolectins |
| Q35913395 | Computational Analysis of AMPK-Mediated Neuroprotection Suggests Acute Excitotoxic Bioenergetics and Glucose Dynamics Are Regulated by a Minimal Set of Critical Reactions |
| Q35118906 | Computational analysis of signaling patterns in single cells |
| Q37173330 | Computational challenges of personal genomics |
| Q39051031 | Computational modelling folate metabolism and DNA methylation: implications for understanding health and ageing |
| Q36745877 | Conceptualizing a tool to optimize therapy based on dynamic heterogeneity |
| Q47134410 | Correlated receptor transport processes buffer single-cell heterogeneity |
| Q41730518 | Deconstructing transcriptional heterogeneity in pluripotent stem cells |
| Q92322472 | Deep Cytometry: Deep learning with Real-time Inference in Cell Sorting and Flow Cytometry |
| Q27347513 | Deep Learning in Label-free Cell Classification |
| Q35067163 | Determinants of cell-to-cell variability in protein kinase signaling |
| Q44713577 | Determinants of robustness in spindle assembly checkpoint signalling |
| Q24644275 | Determination of cell fate selection during phage lambda infection |
| Q30491733 | Determinism and divergence of apoptosis susceptibility in mammalian cells |
| Q49501915 | Discontinuous transcription. |
| Q57272696 | Distribution and regulation of stochasticity and plasticity in Saccharomyces cerevisiae |
| Q45325165 | Dynamic Proteomics of Herpes Simplex Virus Infection. |
| Q33509783 | Dynamic Proteomics: a database for dynamics and localizations of endogenous fluorescently-tagged proteins in living human cells |
| Q37101252 | Dynamic analysis of MAPK signaling using a high-throughput microfluidic single-cell imaging platform |
| Q33885764 | Dynamic analysis of stochastic transcription cycles |
| Q33922499 | Dynamic heterogeneity and DNA methylation in embryonic stem cells |
| Q36684705 | Dynamics inside the cancer cell attractor reveal cell heterogeneity, limits of stability, and escape |
| Q46167523 | Dynamics of outer mitochondrial membrane permeabilization during apoptosis. |
| Q34396810 | Dynamics of protein noise can distinguish between alternate sources of gene-expression variability |
| Q51896600 | Effects of molecular memory and bursting on fluctuations in gene expression. |
| Q50912141 | Effects of the DNA state fluctuation on single-cell dynamics of self-regulating gene. |
| Q46622230 | Electrophoretic cytometry of adherent cells |
| Q37115166 | Elongation dynamics shape bursty transcription and translation |
| Q92002597 | Empirical mean-noise fitness landscapes reveal the fitness impact of gene expression noise |
| Q90300468 | Endogenous fluctuations of OCT4 and SOX2 bias pluripotent cell fate decisions |
| Q28543209 | Environmental statistics and optimal regulation |
| Q37253556 | Eukaryotic transcriptional dynamics: from single molecules to cell populations |
| Q38892269 | Evaluating the interaction between UCOE and DHFR-linked amplification and stability of recombinant protein expression |
| Q38063767 | Event timing at the single-cell level |
| Q38705076 | Evidence of drug-response heterogeneity rapidly generated from a single cancer cell |
| Q34775503 | Evolution of robustness and cellular stochasticity of gene expression |
| Q28483276 | Exploring the contextual sensitivity of factors that determine cell-to-cell variability in receptor-mediated apoptosis |
| Q55340935 | Expression variation and covariation impair analog and enable binary signaling control. |
| Q28729016 | FRET-based identification of mRNAs undergoing translation |
| Q57069104 | Fitness variation in isogenic populations leads to a novel evolutionary mechanism for crossing fitness valleys |
| Q21092166 | Floral morphogenesis: stochastic explorations of a gene network epigenetic landscape |
| Q38641271 | Flow cytometry in Spermatology: A bright future ahead. |
| Q30496525 | Fold-change detection and scalar symmetry of sensory input fields |
| Q30496058 | Fourier analysis and systems identification of the p53 feedback loop |
| Q30488197 | Frequency-modulated nuclear localization bursts coordinate gene regulation |
| Q37451940 | From transcriptome analysis to immunogenomics: current status and future direction |
| Q44946361 | Functional heterogeneity and heritability in CHO cell populations |
| Q29616625 | Functional roles for noise in genetic circuits |
| Q36207933 | Functional roles of slow enzyme conformational changes in network dynamics. |
| Q42644198 | Fundamental limitation of the instantaneous approximation in fold-change detection models |
| Q53350802 | Fundamental limits on sensing chemical concentrations with linear biochemical networks. |
| Q58049938 | Gene Expression Noise Facilitates Adaptation and Drug Resistance Independently of Mutation |
| Q36745875 | Generalized principles of stochasticity can be used to control dynamic heterogeneity |
| Q33287827 | Generation of a fluorescently labeled endogenous protein library in living human cells |
| Q27317372 | Generation of double-labeled reporter cell lines for studying co-dynamics of endogenous proteins in individual human cells |
| Q30002378 | Genes adopt non-optimal codon usage to generate cell cycle-dependent oscillations in protein levels |
| Q33823065 | Genetic Mutations and Epigenetic Modifications: Driving Cancer and Informing Precision Medicine. |
| Q34845153 | Genetic selection for context-dependent stochastic phenotypes: Sp1 and TATA mutations increase phenotypic noise in HIV-1 gene expression |
| Q33645267 | Genomics. E. coli, what a noisy bug. |
| Q28475647 | HIV promoter integration site primarily modulates transcriptional burst size rather than frequency |
| Q27321679 | Heritable change caused by transient transcription errors |
| Q39421348 | Heterogeneity reduces sensitivity of cell death for TNF-stimuli |
| Q60044252 | Hidden heterogeneity and circadian-controlled cell fate inferred from single cell lineages |
| Q27339765 | High throughput ratio imaging to profile caspase activity: potential application in multiparameter high content apoptosis analysis and drug screening |
| Q39552366 | High-throughput single-cell manipulation system for a large number of target cells |
| Q42574775 | Homeostatic mechanisms in dopamine synthesis and release: a mathematical model |
| Q41851973 | How can we kill cancer cells: Insights from the computational models of apoptosis |
| Q38069822 | How scaffolds shape MAPK signaling: what we know and opportunities for systems approaches |
| Q30495307 | Identifying interactions in the time and frequency domains in local and global networks - A Granger Causality Approach |
| Q26996347 | Imaging flow cytometry: coping with heterogeneity in biological systems |
| Q36035967 | Individual T helper cells have a quantitative cytokine memory |
| Q37519643 | Information transfer by leaky, heterogeneous, protein kinase signaling systems |
| Q58769511 | Inheritance of OCT4 predetermines fate choice in human embryonic stem cells |
| Q58706841 | Initial state perturbations as a validation method for data-driven fuzzy models of cellular networks |
| Q34400187 | Intra- and interdimeric caspase-8 self-cleavage controls strength and timing of CD95-induced apoptosis |
| Q30839454 | Intracellular growth of Mycobacterium tuberculosis after macrophage cell death leads to serial killing of host cells. |
| Q28749557 | Intraclonal protein expression heterogeneity in recombinant CHO cells |
| Q50907298 | Invariants reveal multiple forms of robustness in bifunctional enzyme systems. |
| Q37088690 | Inverse Gillespie for inferring stochastic reaction mechanisms from intermittent samples |
| Q49546173 | Investigating cell functioning by theoretical analysis of cell-to-cell variability. |
| Q30488636 | Lab-on-a-chip technologies for proteomic analysis from isolated cells |
| Q89888575 | Learning Pathway Dynamics from Single-Cell Proteomic Data: A Comparative Study |
| Q38900982 | Lineage correlations of single cell division time as a probe of cell-cycle dynamics. |
| Q91831549 | Live imaging of ERK signalling dynamics in differentiating mouse embryonic stem cells |
| Q35982718 | Live imaging of nascent RNA dynamics reveals distinct types of transcriptional pulse regulation |
| Q64283472 | Live-cell imaging reveals enhancer-dependent transcription in the absence of enhancer proximity |
| Q30840316 | Long-term tracking of budding yeast cells in brightfield microscopy: CellStar and the Evaluation Platform |
| Q44357715 | Low probability activation of Bax/Bak can induce selective killing of cancer cells by generating heterogeneity in apoptosis |
| Q51782212 | MAR elements regulate the probability of epigenetic switching between active and inactive gene expression. |
| Q89647154 | Mammalian gene expression variability is explained by underlying cell state |
| Q57711489 | Mammalian protein expression noise: scaling principles and the implications for knockdown experiments |
| Q59029348 | Many things from one |
| Q37778284 | Mapping the life histories of T cells. |
| Q92488177 | Mathematical modelling reveals unexpected inheritance and variability patterns of cell cycle parameters in mammalian cells |
| Q46356481 | Mathematical models of folate-mediated one-carbon metabolism |
| Q34119923 | Measurement of single-cell dynamics. |
| Q34921455 | Measuring and modeling apoptosis in single cells |
| Q64094560 | Memory and relatedness of transcriptional activity in mammalian cell lineages |
| Q34980827 | Metrics other than potency reveal systematic variation in responses to cancer drugs. |
| Q54979633 | Microenvironmental Signals and Biochemical Information Processing: Cooperative Determinants of Intratumoral Plasticity and Heterogeneity. |
| Q30588513 | Microfluidic probe for single-cell analysis in adherent tissue culture |
| Q21563492 | Mitochondrial variability as a source of extrinsic cellular noise |
| Q42185245 | Model-based control of the temporal patterns of intracellular signaling in silico |
| Q33650373 | Model-based extension of high-throughput to high-content data |
| Q28554588 | Modeling Cellular Noise Underlying Heterogeneous Cell Responses in the Epidermal Growth Factor Signaling Pathway |
| Q38027232 | Modeling and analysis of biopathways dynamics. |
| Q34393708 | Modeling dynamics of cell-to-cell variability in TRAIL-induced apoptosis explains fractional killing and predicts reversible resistance |
| Q34856232 | Modeling heterogeneous responsiveness of intrinsic apoptosis pathway |
| Q27343174 | Multiple cell and population-level interactions with mouse embryonic stem cell heterogeneity |
| Q28752388 | Multiscale modeling for biologists |
| Q24610764 | Nature, nurture, or chance: stochastic gene expression and its consequences |
| Q35064303 | Negative feedback in the bone morphogenetic protein 4 (BMP4) synexpression group governs its dynamic signaling range and canalizes development |
| Q35113065 | Noise genetics: inferring protein function by correlating phenotype with protein levels and localization in individual human cells |
| Q37668294 | Noise in biological circuits. |
| Q38263875 | Noise in multiple sclerosis: unwanted and necessary |
| Q34532376 | Noise propagation in gene regulation networks involving interlinked positive and negative feedback loops |
| Q28546735 | Noise-Driven Phenotypic Heterogeneity with Finite Correlation Time in Clonal Populations |
| Q51788873 | Noisy signaling through promoter logic gates. |
| Q30497472 | Noisy-threshold control of cell death. |
| Q34286640 | Non-genetic cell-to-cell variability and the consequences for pharmacology |
| Q37424507 | Non-genetic heterogeneity of cells in development: more than just noise |
| Q53311592 | Non-genetic heterogeneity--a mutation-independent driving force for the somatic evolution of tumours. |
| Q39861453 | Non-genetic origins of cell-to-cell variability in TRAIL-induced apoptosis |
| Q38872068 | Non-monotonic cellular responses to heterogeneity in talin protein expression-level. |
| Q87994405 | Nongenetic origins of cell-to-cell variability in B lymphocyte proliferation |
| Q28482084 | Nonheritable cellular variability accelerates the evolutionary processes of cancer |
| Q37876448 | Nuclear organization and transcriptional dynamics in Dictyostelium |
| Q37268238 | Of cardiovascular illness and diversity of biological response |
| Q36988682 | Of elections and cell-death decisions |
| Q33523145 | On the spontaneous stochastic dynamics of a single gene: complexity of the molecular interplay at the promoter |
| Q37539336 | Open questions: a rose is a rose is a rose--or not? |
| Q83171482 | Origins of regulated cell-to-cell variability |
| Q27316437 | Oscillatory dynamics of cell cycle proteins in single yeast cells analyzed by imaging cytometry |
| Q35994661 | Overlap-Based Cell Tracker. |
| Q38829485 | Paracrine communication maximizes cellular response fidelity in wound signaling |
| Q36716124 | Persistence, period and precision of autonomous cellular oscillators from the zebrafish segmentation clock |
| Q27306931 | Persistent cell-autonomous circadian oscillations in fibroblasts revealed by six-week single-cell imaging of PER2::LUC bioluminescence |
| Q39635520 | Pharmacological and functional properties of TRPM8 channels in prostate tumor cells. |
| Q99407076 | Pinpointing Cell Identity in Time and Space |
| Q39807636 | Population context determines cell-to-cell variability in endocytosis and virus infection |
| Q92709176 | Power-law tail in lag time distribution underlies bacterial persistence |
| Q27327678 | Pre-disposition and epigenetics govern variation in bacterial survival upon stress |
| Q34364634 | Precise developmental gene expression arises from globally stochastic transcriptional activity |
| Q34463339 | Predicting rates of cell state change caused by stochastic fluctuations using a data-driven landscape model |
| Q91934228 | Principles and mechanisms of non-genetic resistance in cancer |
| Q39698589 | Probabilistic density maps to study global endomembrane organization |
| Q38637924 | Profiling and quantifying endogenous molecules in single cells using nano-DESI MS. |
| Q27350246 | Protein dynamics in individual human cells: experiment and theory |
| Q35070342 | Protein-level fluctuation correlation at the microcolony level and its application to the Vibrio harveyi quorum-sensing circuit |
| Q35036107 | Quantification of Mesenchymal Stem Cell (MSC) delivery to a target site using in vivo confocal microscopy |
| Q39952609 | Quantifying origins of cell-to-cell variations in gene expression |
| Q98169778 | Quorum sensing via dynamic cytokine signaling comprehensively explains divergent patterns of effector choice among helper T cells |
| Q37666404 | Rbfox2 controls autoregulation in RNA-binding protein networks. |
| Q42322658 | Realistic enzymology for post-translational modification: zero-order ultrasensitivity revisited |
| Q42515812 | Regime shifts driven by dynamic correlations in gene expression noise. |
| Q34395673 | Regulation of transcriptional bursting by a naturally oscillating signal |
| Q30493411 | Regulatory activity revealed by dynamic correlations in gene expression noise |
| Q28473536 | Regulatory control and the costs and benefits of biochemical noise |
| Q24611036 | Robust growth of Escherichia coli |
| Q38046128 | Robustness of signal transduction pathways |
| Q42829019 | Segmenting time-lapse phase contrast images of adjacent NIH 3T3 cells. |
| Q41691396 | Self-organization of signal transduction |
| Q57790260 | Sex differences in hepatic one-carbon metabolism |
| Q40636630 | Short-term memory in gene induction reveals the regulatory principle behind stochastic IL-4 expression |
| Q27340050 | Signal transduction controls heterogeneous NF-κB dynamics and target gene expression through cytokine-specific refractory states |
| Q38238962 | Signaling networks in MS: a systems-based approach to developing new pharmacological therapies |
| Q30497330 | Signalling ballet in space and time |
| Q36970823 | Signatures of combinatorial regulation in intrinsic biological noise. |
| Q28744297 | Simultaneous visualization of both signaling cascade activity and end-point gene expression in single cells |
| Q34244392 | Single-cell analysis of population context advances RNAi screening at multiple levels |
| Q47823622 | Single-cell deep phenotyping of IgG-secreting cells for high-resolution immune monitoring. |
| Q29617430 | Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells |
| Q91117953 | Spatial proteomics: a powerful discovery tool for cell biology |
| Q39939066 | Stable stochastic dynamics in yeast cell cycle |
| Q27318039 | Stochastic Regulation of her1/7 Gene Expression Is the Source of Noise in the Zebrafish Somite Clock Counteracted by Notch Signalling |
| Q36056524 | Stochastic branching-diffusion models for gene expression |
| Q35002338 | Stochastic exit from mitosis in budding yeast: model predictions and experimental observations |
| Q34145601 | Stochastic expression of the interferon-β gene |
| Q47135527 | Stochastic gene expression in Arabidopsis thaliana. |
| Q34728437 | Stochastic gene expression out-of-steady-state in the cyanobacterial circadian clock |
| Q52605047 | Stochastic tuning of gene expression enables cellular adaptation in the absence of pre-existing regulatory circuitry. |
| Q33731702 | Stochastic variation: from single cells to superorganisms |
| Q37634302 | Strategies for cellular decision-making |
| Q39536250 | Strong negative feedback from Erk to Raf confers robustness to MAPK signalling. |
| Q38446898 | Surviving apoptosis: life-death signaling in single cells. |
| Q38674026 | Symmetry breaking in development and stochastic gene expression |
| Q53572954 | Systems biology meets chromatin function: a report on the Fourth Elmau Conference on Nuclear Organization. |
| Q28391909 | Systems biology of cancer: entropy, disorder, and selection-driven evolution to independence, invasion and "swarm intelligence" |
| Q37593952 | Systems biology of stem cell fate and cellular reprogramming |
| Q37897423 | Systems biology of stem cells: three useful perspectives to help overcome the paradigm of linear pathways |
| Q39431299 | Taking chances and making mistakes: non-genetic phenotypic heterogeneity and its consequences for surviving in dynamic environments |
| Q30487156 | Temporal switching and cell-to-cell variability in Ca2+ release activity in mammalian cells |
| Q34236748 | The caspase-8 dimerization/dissociation balance is a highly potent regulator of caspase-8, -3, -6 signaling |
| Q89676921 | The effects of proliferation status and cell cycle phase on the responses of single cells to chemotherapy |
| Q50750676 | The limiting dynamics of a bistable molecular switch with and without noise. |
| Q51818988 | The limits of brain determinacy. |
| Q90237049 | The role of fluctuations in determining cellular network thermodynamics |
| Q33619900 | The role of noise and positive feedback in the onset of autosomal dominant diseases |
| Q38268766 | The utility of simple mathematical models in understanding gene regulatory dynamics |
| Q43144221 | The volumes and transcript counts of single cells reveal concentration homeostasis and capture biological noise |
| Q36761800 | The workflow of single-cell expression profiling using quantitative real-time PCR. |
| Q34181781 | Toward a complete in silico, multi-layered embryonic stem cell regulatory network |
| Q24301129 | Toward a confocal subcellular atlas of the human proteome |
| Q34752666 | Towards high-throughput single cell/clone cultivation and analysis |
| Q30793525 | Transcriptional Memory in the Drosophila Embryo. |
| Q36378306 | Transcriptional burst frequency and burst size are equally modulated across the human genome |
| Q34780848 | Transcriptome-wide noise controls lineage choice in mammalian progenitor cells |
| Q36826973 | Trichomonas vaginalis contact-dependent cytolysis of epithelial cells |
| Q36889314 | Two DNA-encoded strategies for increasing expression with opposing effects on promoter dynamics and transcriptional noise |
| Q43068553 | Une cellule type? |
| Q45217144 | Unproductive splicing of SR genes associated with highly conserved and ultraconserved DNA elements |
| Q41692388 | Using Bayesian-PBPK modeling for assessment of inter-individual variability and subgroup stratification. |
| Q24594762 | Using a single fluorescent reporter gene to infer half-life of extrinsic noise and other parameters of gene expression |
| Q36825421 | Using noise to probe and characterize gene circuits. |
| Q37170037 | Variability and robustness in T cell activation from regulated heterogeneity in protein levels |
| Q36988221 | What's Luck Got to Do with It: Single Cells, Multiple Fates, and Biological Nondeterminism |
| Q36079444 | Zinc-finger nuclease-mediated targeted insertion of reporter genes for quantitative imaging of gene expression in sea urchin embryos. |
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