Lineage marker synchrony in hematopoietic genealogies refutes the PU.1/GATA1 toggle switch paradigm
暂无分享,去创建一个
Carsten Marr | Fabian J Theis | Dirk Loeffler | Michael K. Strasser | Philipp S. Hoppe | Timm Schroeder | C. Marr | T. Schroeder | D. Loeffler | Konstantinos D. Kokkaliaris | Konstantinos D Kokkaliaris | Philipp S Hoppe | Michael K Strasser
[1] Visakan Kadirkamanathan,et al. Modified variational Bayes EM estimation of hidden Markov tree model of cell lineages , 2009, Bioinform..
[2] Stavroula Skylaki,et al. On the statistical analysis of single cell lineage trees , 2018, Journal of theoretical biology.
[3] Elisa T. Lee,et al. Survival analysis in public health research. , 1997, Annual review of public health.
[4] L. McGuinness,et al. A single-cell pedigree analysis of alternative stochastic lymphocyte fates , 2009, Proceedings of the National Academy of Sciences.
[5] Carsten Marr,et al. Software tools for single-cell tracking and quantification of cellular and molecular properties , 2016, Nature Biotechnology.
[6] M. Selbach,et al. Corrigendum: Global quantification of mammalian gene expression control , 2013, Nature.
[7] E. Lander,et al. Stochastic State Transitions Give Rise to Phenotypic Equilibrium in Populations of Cancer Cells , 2011, Cell.
[8] Guy S. Salvesen,et al. SnapShot: Caspases , 2011, Cell.
[9] T. Sharpee,et al. Mathematical approaches to modeling development and reprogramming , 2014, Proceedings of the National Academy of Sciences.
[10] Pavol Bokes,et al. A bistable genetic switch which does not require high co-operativity at the promoter: a two-timescale model for the PU.1-GATA-1 interaction. , 2009, Mathematical medicine and biology : a journal of the IMA.
[11] Fabian J. Theis,et al. Network plasticity of pluripotency transcription factors in embryonic stem cells , 2015, Nature Cell Biology.
[12] Philipp S. Hoppe,et al. Continuous long-term detection of live cell surface markers by ‘in culture’ antibody staining , 2011 .
[13] D. Gillespie. A General Method for Numerically Simulating the Stochastic Time Evolution of Coupled Chemical Reactions , 1976 .
[14] Max Endele,et al. Quantitative single-cell approaches to stem cell research. , 2014, Cell stem cell.
[15] B. Rannala,et al. Molecular phylogenetics: principles and practice , 2012, Nature Reviews Genetics.
[16] S. Orkin,et al. Erythroid differentiation in chimaeric mice blocked by a targeted mutation in the gene for transcription factor GATA-1 , 1991, Nature.
[17] Sui Huang,et al. Bifurcation dynamics in lineage-commitment in bipotent progenitor cells. , 2007, Developmental biology.
[18] T. Enver,et al. Forcing cells to change lineages , 2009, Nature.
[19] Fabian J. Theis,et al. Stability and multiattractor dynamics of a toggle switch based on a two-stage model of stochastic gene expression , 2012 .
[20] Nico Scherf,et al. Factor graph analysis of live cell-imaging data reveals mechanisms of cell fate decisions , 2015, Bioinform..
[21] I. Amit,et al. Transcriptional Heterogeneity and Lineage Commitment in Myeloid Progenitors , 2015, Cell.
[22] Sean J Morrison,et al. Cancer stem cells: impact, heterogeneity, and uncertainty. , 2012, Cancer cell.
[23] M. Khammash,et al. The finite state projection algorithm for the solution of the chemical master equation. , 2006, The Journal of chemical physics.
[24] Fabian J Theis,et al. Hierarchical Differentiation of Myeloid Progenitors Is Encoded in the Transcription Factor Network , 2011, PloS one.
[25] Kate Smith-Miles,et al. Mathematical modelling of stem cell differentiation: the PU.1–GATA-1 interaction , 2012, Journal of mathematical biology.
[26] Stavroula Skylaki,et al. Challenges in long-term imaging and quantification of single-cell dynamics , 2016, Nature Biotechnology.
[27] T. Elston,et al. Stochasticity in gene expression: from theories to phenotypes , 2005, Nature Reviews Genetics.
[28] M. D. McKay,et al. A comparison of three methods for selecting values of input variables in the analysis of output from a computer code , 2000 .
[29] Dan ie l T. Gil lespie. A rigorous derivation of the chemical master equation , 1992 .
[30] Jhagvaral Hasbold,et al. Activation-Induced B Cell Fates Are Selected by Intracellular Stochastic Competition , 2012, Science.
[31] Philipp S. Hoppe,et al. Hematopoietic Cytokines Can Instruct Lineage Choice , 2009, Science.
[32] J. Ludden,et al. Principles and Practice , 1998, Community-based Learning and Social Movements.
[33] Leo D. Wang,et al. Dynamic niches in the origination and differentiation of haematopoietic stem cells , 2011, Nature Reviews Molecular Cell Biology.
[34] M. Elowitz,et al. Pulsed Feedback Defers Cellular Differentiation , 2012, PLoS biology.
[35] Carsten Marr,et al. Early myeloid lineage choice is not initiated by random PU.1 to GATA1 protein ratios , 2016, Nature.
[36] Robert H Singer,et al. Single-molecule analysis of gene expression using two-color RNA labeling in live yeast , 2012, Nature Methods.
[37] Timm Schroeder,et al. Probing cellular processes by long-term live imaging – historic problems and current solutions , 2013, Journal of Cell Science.
[38] D Hasenclever,et al. A novel view on stem cell development: analysing the shape of cellular genealogies , 2009, Cell proliferation.
[39] E. Scott,et al. Requirement of transcription factor PU.1 in the development of multiple hematopoietic lineages. , 1994, Science.
[40] Fabian J Theis,et al. Prospective identification of hematopoietic lineage choice by deep learning , 2017, Nature Methods.
[41] T. Schroeder,et al. Illuminating stem cell transcription factor dynamics: long-term single-cell imaging of fluorescent protein fusions. , 2017, Current opinion in cell biology.
[42] L. Zon,et al. Hematopoiesis: An Evolving Paradigm for Stem Cell Biology , 2008, Cell.
[43] Vahid Shahrezaei,et al. Analytical distributions for stochastic gene expression , 2008, Proceedings of the National Academy of Sciences.
[44] Ingo Roeder,et al. Towards an understanding of lineage specification in hematopoietic stem cells: a mathematical model for the interaction of transcription factors GATA-1 and PU.1. , 2006, Journal of theoretical biology.
[45] I. Amit,et al. Transcriptional Heterogeneity and Lineage Commitment in Myeloid Progenitors , 2016, Cell.
[46] Johan Paulsson,et al. Random partitioning of molecules at cell division , 2011, Proceedings of the National Academy of Sciences.
[47] Jerome T. Mettetal,et al. Heritable Stochastic Switching Revealed by Single-Cell Genealogy , 2007, PLoS biology.
[48] Sandy L. Klemm,et al. Single-Cell Expression Analyses during Cellular Reprogramming Reveal an Early Stochastic and a Late Hierarchic Phase , 2012, Cell.
[49] E. Stanley,et al. HUMAN DEFINITIVE HAEMOGENIC ENDOTHELIUM AND ARTERIAL VASCULAR ENDOTHELIUM REPRESENT DISTINCT LINEAGES , 2015, Nature Cell Biology.
[50] L. Steinmetz,et al. Human haematopoietic stem cell lineage commitment is a continuous process , 2017, Nature Cell Biology.
[51] N. Sloane,et al. Some Doubly Exponential Sequences , 1973, The Fibonacci Quarterly.
[52] Zakary S. Singer,et al. Inferring Cell-State Transition Dynamics from Lineage Trees and Endpoint Single-Cell Measurements. , 2016, Cell systems.
[53] Shin-Ichi Nishikawa,et al. Continuous single-cell imaging of blood generation from haemogenic endothelium , 2009, Nature.
[54] Fabian J Theis,et al. Multi‐scale modeling of GMP differentiation based on single‐cell genealogies , 2012, The FEBS journal.
[55] William Bialek,et al. Stability and Noise in Biochemical Switches , 2000, NIPS.
[56] K. Deisseroth,et al. Dynamics of Retrieval Strategies for Remote Memories , 2011, Cell.
[57] H. Kishino,et al. Dating of the human-ape splitting by a molecular clock of mitochondrial DNA , 2005, Journal of Molecular Evolution.
[58] Hao Yuan Kueh,et al. Positive Feedback Between PU.1 and the Cell Cycle Controls Myeloid Differentiation , 2013, Science.
[59] Jeroen S. van Zon,et al. Direct cell reprogramming is a stochastic process amenable to acceleration , 2009, Nature.
[60] Fabian J. Theis,et al. Inference of spatiotemporal effects on cellular state transitions from time-lapse microscopy , 2015, BMC Systems Biology.
[61] Venus trap in the mouse embryo reveals distinct molecular dynamics underlying specification of first embryonic lineages , 2015, EMBO reports.
[62] M. Selbach,et al. Global quantification of mammalian gene expression control , 2011, Nature.
[63] Davit A Potoyan,et al. Dichotomous noise models of gene switches. , 2015, The Journal of chemical physics.
[64] W. Ebeling. Stochastic Processes in Physics and Chemistry , 1995 .
[65] A. I.,et al. Neural Field Continuum Limits and the Structure–Function Partitioning of Cognitive–Emotional Brain Networks , 2023, Biology.
[66] Michael Cross,et al. Transient expression of PU.1 commits multipotent progenitors to a myeloid fate whereas continued expression favors macrophage over granulocyte differentiation. , 2003, Experimental hematology.
[67] Nasser M. Nasrabadi,et al. Pattern Recognition and Machine Learning , 2006, Technometrics.
[68] E. Kandel,et al. Memory suppressor genes: inhibitory constraints on the storage of long-term memory. , 1998, Science.
[69] Qing Wen,et al. Connectivity mapping using a combined gene signature from multiple colorectal cancer datasets identified candidate drugs including existing chemotherapies , 2015, BMC Systems Biology.