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For: Macarthur BD, Ma’ayan A, Lemischka IR. Systems biology of stem cell fate and cellular reprogramming. Nat Rev Mol Cell Biol. 2009;10:672-681. [PMID: 19738627 DOI: 10.1038/nrm2766] [Cited by in Crossref: 273] [Cited by in F6Publishing: 286] [Article Influence: 19.5] [Reference Citation Analysis]
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7 Andreucci D, Bersani AM, Bersani E, Trujillo FJL, Marconi S. A 3D Mathematical Model of Coupled Stem Cell-Nutrient Dynamics in Myocardial Regeneration Therapy. J Theor Biol 2022;:111023. [PMID: 35041851 DOI: 10.1016/j.jtbi.2022.111023] [Reference Citation Analysis]
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9 Murgas KA, Saucan E, Sandhu R. Quantifying Cellular Pluripotency and Pathway Robustness Through Forman-Ricci Curvature. Complex Networks & Their Applications X 2022. [DOI: 10.1007/978-3-030-93413-2_51] [Cited by in Crossref: 3] [Article Influence: 3.0] [Reference Citation Analysis]
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12 Sáez M, Blassberg R, Camacho-Aguilar E, Siggia ED, Rand DA, Briscoe J. Statistically derived geometrical landscapes capture principles of decision-making dynamics during cell fate transitions. Cell Syst 2021:S2405-4712(21)00336-7. [PMID: 34536382 DOI: 10.1016/j.cels.2021.08.013] [Cited by in Crossref: 17] [Cited by in F6Publishing: 20] [Article Influence: 8.5] [Reference Citation Analysis]
13 Palme J, Wang J, Springer M. Variation in the modality of a yeast signaling pathway is mediated by a single regulator. Elife 2021;10:e69974. [PMID: 34369878 DOI: 10.7554/eLife.69974] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
14 Loriaux PM, Tang Y, Hoffmann A. A regulatory circuit motif dictates whether protein turnover fluxes are more predictive as biomarkers than protein abundances.. [DOI: 10.1101/2021.07.19.452900] [Reference Citation Analysis]
15 Kholodenko BN, Okada M. Reengineering protein-phosphorylation switches. Science 2021;373:25-6. [PMID: 34210865 DOI: 10.1126/science.abj5028] [Reference Citation Analysis]
16 Huang D, Wang R. Exploring the mechanism of pancreatic cell fate decisions via cell-cell communication. Math Biosci Eng 2021;18:2401-24. [PMID: 33892552 DOI: 10.3934/mbe.2021122] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
17 Hati S, Duddu AS, Jolly MK. Operating principles of circular toggle polygons. Phys Biol 2021;18. [PMID: 33730700 DOI: 10.1088/1478-3975/abef79] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
18 Li CJ, Liau ES, Lee YH, Huang YZ, Liu Z, Willems A, Garside V, McGlinn E, Chen JA, Hong T. MicroRNA governs bistable cell differentiation and lineage segregation via a noncanonical feedback. Mol Syst Biol 2021;17:e9945. [PMID: 33890404 DOI: 10.15252/msb.20209945] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
19 Uthamacumaran A. A review of dynamical systems approaches for the detection of chaotic attractors in cancer networks. Patterns (N Y) 2021;2:100226. [PMID: 33982021 DOI: 10.1016/j.patter.2021.100226] [Cited by in Crossref: 14] [Cited by in F6Publishing: 17] [Article Influence: 7.0] [Reference Citation Analysis]
20 Sáez M, Blassberg R, Camacho-aguilar E, Siggia ED, Rand D, Briscoe J. A quantitative landscape of cell fate transitions identifies principles of cellular decision-making.. [DOI: 10.1101/2021.03.11.434982] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
21 Muñoz MF, Argüelles S, Marotta F, Barbagallo M, Cano M, Ayala A. Effect of Age and Lipoperoxidation in Rat and Human Adipose Tissue-Derived Stem Cells. Oxid Med Cell Longev 2020;2020:6473279. [PMID: 33425211 DOI: 10.1155/2020/6473279] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
22 Wadkin L, Orozco-fuentes S, Neganova I, Lako M, Parker N, Shukurov A. An introduction to the mathematical modeling of iPSCs. Recent Advances in iPSC Technology 2021. [DOI: 10.1016/b978-0-12-822231-7.00004-7] [Reference Citation Analysis]
23 Engblom S, Eriksson R, Vilanova P. Towards Confident Bayesian Parameter Estimation in Stochastic Chemical Kinetics. Lecture Notes in Computational Science and Engineering 2021. [DOI: 10.1007/978-3-030-55874-1_36] [Reference Citation Analysis]
24 Beneš N, Brim L, Pastva S, Šafránek D. Computing Bottom SCCs Symbolically Using Transition Guided Reduction. Computer Aided Verification 2021. [DOI: 10.1007/978-3-030-81685-8_24] [Cited by in Crossref: 3] [Article Influence: 1.5] [Reference Citation Analysis]
25 Diaz Ochoa JG. Observability of Complex Systems by Means of Relative Distances Between Homological Groups. Front Phys 2020;8:465982. [DOI: 10.3389/fphy.2020.465982] [Reference Citation Analysis]
26 Dotson GA, Ryan CW, Chen C, Muir L, Rajapakse I. Cellular reprogramming: Mathematics meets medicine. Wiley Interdiscip Rev Syst Biol Med 2020;:e1515. [PMID: 33289324 DOI: 10.1002/wsbm.1515] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
27 Hati S, Duddu AS, Jolly MK. Operating principles of circular toggle polygons.. [DOI: 10.1101/2020.11.22.392951] [Reference Citation Analysis]
28 Hajishengallis G, Li X, Chavakis T. Immunometabolic control of hematopoiesis. Mol Aspects Med 2021;77:100923. [PMID: 33160640 DOI: 10.1016/j.mam.2020.100923] [Cited by in Crossref: 11] [Cited by in F6Publishing: 14] [Article Influence: 3.7] [Reference Citation Analysis]
29 Guinn MT, Wan Y, Levovitz S, Yang D, Rosner MR, Balázsi G. Observation and Control of Gene Expression Noise: Barrier Crossing Analogies Between Drug Resistance and Metastasis. Front Genet 2020;11:586726. [PMID: 33193723 DOI: 10.3389/fgene.2020.586726] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 3.0] [Reference Citation Analysis]
30 Uthamacumaran A. Cancer: A turbulence problem. Neoplasia 2020;22:759-69. [PMID: 33142240 DOI: 10.1016/j.neo.2020.09.008] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 1.7] [Reference Citation Analysis]
31 Budnik B, Straubhaar J, Neveu J, Shvartsman D. In-depth analysis of proteomic and genomic fluctuations during the time course of human embryonic stem cells directed differentiation into beta cells.. [DOI: 10.1101/2020.10.05.326991] [Reference Citation Analysis]
32 Misteli T. The Self-Organizing Genome: Principles of Genome Architecture and Function. Cell 2020;183:28-45. [PMID: 32976797 DOI: 10.1016/j.cell.2020.09.014] [Cited by in Crossref: 159] [Cited by in F6Publishing: 176] [Article Influence: 53.0] [Reference Citation Analysis]
33 Ali S, Khan N, Xie L. Molecular and Hormonal Regulation of Leaf Morphogenesis in Arabidopsis. Int J Mol Sci 2020;21:E5132. [PMID: 32698541 DOI: 10.3390/ijms21145132] [Cited by in Crossref: 13] [Cited by in F6Publishing: 14] [Article Influence: 4.3] [Reference Citation Analysis]
34 Kucinski I, Gottgens B. Advancing Stem Cell Research through Multimodal Single-Cell Analysis. Cold Spring Harb Perspect Biol 2020;12. [PMID: 31932320 DOI: 10.1101/cshperspect.a035725] [Reference Citation Analysis]
35 Tsuchiya M, Giuliani A, Yoshikawa K. Cell-Fate Determination from Embryo to Cancer Development: Genomic Mechanism Elucidated. Int J Mol Sci 2020;21:E4581. [PMID: 32605138 DOI: 10.3390/ijms21134581] [Cited by in Crossref: 7] [Cited by in F6Publishing: 8] [Article Influence: 2.3] [Reference Citation Analysis]
36 Xiong L, Schoenberg WA, Swartz JD. Macroscale network feedback structure of transcriptome during cell fate transition.. [DOI: 10.1101/2020.06.24.169490] [Reference Citation Analysis]
37 Guzmán-Herrera A, Arias Del Angel JA, Rivera-Yoshida N, Benítez M, Franci A. Dynamical patterning modules and network motifs as joint determinants of development: Lessons from an aggregative bacterium. J Exp Zool B Mol Dev Evol 2021;336:300-14. [PMID: 32419346 DOI: 10.1002/jez.b.22946] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
38 Gallivan CP, Ren H, Read EL. Analysis of Single-Cell Gene Pair Coexpression Landscapes by Stochastic Kinetic Modeling Reveals Gene-Pair Interactions in Development. Front Genet 2019;10:1387. [PMID: 32082359 DOI: 10.3389/fgene.2019.01387] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.3] [Reference Citation Analysis]
39 Wadkin LE, Orozco-Fuentes S, Neganova I, Lako M, Shukurov A, Parker NG. The recent advances in the mathematical modelling of human pluripotent stem cells. SN Appl Sci 2020;2:276. [PMID: 32803125 DOI: 10.1007/s42452-020-2070-3] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
40 Macarthur BD, Stumpf PS, Oreffo RO. From mathematical modeling and machine learning to clinical reality. Principles of Tissue Engineering 2020. [DOI: 10.1016/b978-0-12-818422-6.00001-0] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.3] [Reference Citation Analysis]
41 Lee ZH, Hirakawa T, Yamaguchi N, Ito T. The Roles of Plant Hormones and Their Interactions with Regulatory Genes in Determining Meristem Activity. Int J Mol Sci 2019;20:E4065. [PMID: 31434317 DOI: 10.3390/ijms20164065] [Cited by in Crossref: 40] [Cited by in F6Publishing: 40] [Article Influence: 10.0] [Reference Citation Analysis]
42 Sunkara V. Algebraic expressions of conditional expectations in gene regulatory networks. J Math Biol 2019;79:1779-829. [PMID: 31377871 DOI: 10.1007/s00285-019-01410-y] [Cited by in Crossref: 1] [Article Influence: 0.3] [Reference Citation Analysis]
43 Stumpf PS, Smith RCG, Lenz M, Schuppert A, Müller FJ, Babtie A, Chan TE, Stumpf MPH, Please CP, Howison SD, Arai F, MacArthur BD. Stem Cell Differentiation as a Non-Markov Stochastic Process. Cell Syst 2017;5:268-282.e7. [PMID: 28957659 DOI: 10.1016/j.cels.2017.08.009] [Cited by in Crossref: 113] [Cited by in F6Publishing: 113] [Article Influence: 28.3] [Reference Citation Analysis]
44 Sullivan JM, De Rubeis S, Schaefer A. Convergence of spectrums: neuronal gene network states in autism spectrum disorder. Curr Opin Neurobiol 2019;59:102-11. [PMID: 31220745 DOI: 10.1016/j.conb.2019.04.011] [Cited by in Crossref: 18] [Cited by in F6Publishing: 12] [Article Influence: 4.5] [Reference Citation Analysis]
45 Pfeuty B, Kress C, Pain B. Network Features and Dynamical Landscape of Naive and Primed Pluripotency. Biophys J 2018;114:237-48. [PMID: 29320691 DOI: 10.1016/j.bpj.2017.10.033] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 2.5] [Reference Citation Analysis]
46 Guzmán-herrera A, Angel JAAD, Rivera-yoshida N, Benítez M, Franci A. Dynamical Patterning Modules and Network Motifs as joint determinants of development: lessons from an aggregative bacterium.. [DOI: 10.1101/655381] [Reference Citation Analysis]
47 Ryall S, Arnoldo A, Sheth J, Singh SK, Hawkins C. Detecting Stem Cell Marker Expression Using the NanoString nCounter System. Methods Mol Biol 2019;1869:57-67. [PMID: 30324513 DOI: 10.1007/978-1-4939-8805-1_5] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
48 Tsuchiya M, Giuliani A, Yoshikawa K. Cell-Fate Determination from Embryo to Cancer Development: Genomic Mechanism Elucidated.. [DOI: 10.1101/637033] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
49 Yuan M, Hong W, Li P. Identification of regulatory variables for state transition of biological networks. Biosystems 2019;181:71-81. [PMID: 31071365 DOI: 10.1016/j.biosystems.2019.05.001] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
50 Nguyen TNT, Sasaki K, Kino-oka M. Elucidation of human induced pluripotent stem cell behaviors in colonies based on a kinetic model. Journal of Bioscience and Bioengineering 2019;127:625-32. [DOI: 10.1016/j.jbiosc.2018.10.016] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.3] [Reference Citation Analysis]
51 Paudel BB, Harris LA, Hardeman KN, Abugable AA, Hayford CE, Tyson DR, Quaranta V. A Nonquiescent "Idling" Population State in Drug-Treated, BRAF-Mutated Melanoma. Biophys J 2018;114:1499-511. [PMID: 29590606 DOI: 10.1016/j.bpj.2018.01.016] [Cited by in Crossref: 25] [Cited by in F6Publishing: 25] [Article Influence: 6.3] [Reference Citation Analysis]
52 Fatehi F, Kyrychko YN, Molchanov R, Blyuss KB. Bifurcations and Multistability in a Model of Cytokine-Mediated Autoimmunity. Int J Bifurcation Chaos 2019;29:1950034. [DOI: 10.1142/s0218127419500342] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 0.8] [Reference Citation Analysis]
53 Xu P, Wang TT, Liu XZ, Wang NY, Sun LH, Zhang ZQ, Chen HZ, Lv X, Huang Y, Liu DP. Sirt6 regulates efficiency of mouse somatic reprogramming and maintenance of pluripotency. Stem Cell Res Ther 2019;10:9. [PMID: 30630525 DOI: 10.1186/s13287-018-1109-5] [Cited by in Crossref: 11] [Cited by in F6Publishing: 12] [Article Influence: 2.8] [Reference Citation Analysis]
54 García-Jiménez C, Goding CR. Starvation and Pseudo-Starvation as Drivers of Cancer Metastasis through Translation Reprogramming. Cell Metab 2019;29:254-67. [PMID: 30581118 DOI: 10.1016/j.cmet.2018.11.018] [Cited by in Crossref: 58] [Cited by in F6Publishing: 44] [Article Influence: 11.6] [Reference Citation Analysis]
55 Xavier da Silveira Dos Santos A, Liberali P. From single cells to tissue self-organization. FEBS J 2019;286:1495-513. [PMID: 30390414 DOI: 10.1111/febs.14694] [Cited by in Crossref: 35] [Cited by in F6Publishing: 38] [Article Influence: 7.0] [Reference Citation Analysis]
56 Wang C, Mehta P, Bashor CJ. The strength of protein-protein interactions controls the information capacity and dynamical response of signaling networks.. [DOI: 10.1101/469197] [Reference Citation Analysis]
57 Tsuchiya M, Giuliani A, Yoshikawa K. Self-Organized Critical Control of Genome Expression: Novel Scenario on Cell-Fate Decision.. [DOI: 10.1101/451260] [Reference Citation Analysis]
58 Cui G, Suo S, Wang R, Qian Y, Han JJ, Peng G, Tam PPL, Jing N. Mouse gastrulation: Attributes of transcription factor regulatory network for epiblast patterning. Develop Growth Differ 2018;60:463-72. [DOI: 10.1111/dgd.12568] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
59 Lee J, Cho YS, Jung H, Choi I. Pharmacological Regulation of Oxidative Stress in Stem Cells. Oxid Med Cell Longev 2018;2018:4081890. [PMID: 30363995 DOI: 10.1155/2018/4081890] [Cited by in Crossref: 41] [Cited by in F6Publishing: 49] [Article Influence: 8.2] [Reference Citation Analysis]
60 Okamoto K, Germond A, Fujita H, Furusawa C, Okada Y, Watanabe TM. Single cell analysis reveals a biophysical aspect of collective cell-state transition in embryonic stem cell differentiation. Sci Rep 2018;8:11965. [PMID: 30097661 DOI: 10.1038/s41598-018-30461-2] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 1.2] [Reference Citation Analysis]
61 Kanherkar RR, Getachew B, Ben-Sheetrit J, Varma S, Heinbockel T, Tizabi Y, Csoka AB. The Effect of Citalopram on Genome-Wide DNA Methylation of Human Cells. Int J Genomics 2018;2018:8929057. [PMID: 30148158 DOI: 10.1155/2018/8929057] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 1.2] [Reference Citation Analysis]
62 Ryu H, Chung M, Song J, Lee SS, Pertz O, Jeon NL. Integrated Platform for Monitoring Single-cell MAPK Kinetics in Computer-controlled Temporal Stimulations. Sci Rep 2018;8:11126. [PMID: 30042437 DOI: 10.1038/s41598-018-28873-1] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 1.6] [Reference Citation Analysis]
63 Fang X, Liu Q, Bohrer C, Hensel Z, Han W, Wang J, Xiao J. Cell fate potentials and switching kinetics uncovered in a classic bistable genetic switch. Nat Commun 2018;9:2787. [PMID: 30018349 DOI: 10.1038/s41467-018-05071-1] [Cited by in Crossref: 24] [Cited by in F6Publishing: 25] [Article Influence: 4.8] [Reference Citation Analysis]
64 Tarakhovsky A, Prinjha RK. Drawing on disorder: How viruses use histone mimicry to their advantage. J Exp Med 2018;215:1777-87. [PMID: 29934321 DOI: 10.1084/jem.20180099] [Cited by in Crossref: 20] [Cited by in F6Publishing: 23] [Article Influence: 4.0] [Reference Citation Analysis]
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66 Dehghanian F, Hojati Z, Esmaeili F, Masoudi-Nejad A. Network-based expression analyses and experimental validations revealed high co-expression between Yap1 and stem cell markers compared to differentiated cells. Genomics 2019;111:831-9. [PMID: 29775782 DOI: 10.1016/j.ygeno.2018.05.007] [Cited by in Crossref: 7] [Cited by in F6Publishing: 3] [Article Influence: 1.4] [Reference Citation Analysis]
67 Park D, Lee H, Kang JH, Kim S, Gong J, Cho K, Chen L. Attractor landscape analysis of the cardiac signaling network reveals mechanism-based therapeutic strategies for heart failure. Journal of Molecular Cell Biology 2018;10:180-94. [DOI: 10.1093/jmcb/mjy019] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 1.2] [Reference Citation Analysis]
68 Fotoohinasab A, Fatemizadeh E, Pezeshk H, Sadeghi M. Denoising of genetic switches based on Parrondo’s paradox. Physica A: Statistical Mechanics and its Applications 2018;493:410-20. [DOI: 10.1016/j.physa.2017.10.009] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
69 Lin YT, Hufton PG, Lee EJ, Potoyan DA. A stochastic and dynamical view of pluripotency in mouse embryonic stem cells. PLoS Comput Biol 2018;14:e1006000. [PMID: 29451874 DOI: 10.1371/journal.pcbi.1006000] [Cited by in Crossref: 27] [Cited by in F6Publishing: 32] [Article Influence: 5.4] [Reference Citation Analysis]
70 Koplev S, Lin K, Dohlman AB, Ma'ayan A. Integration of pan-cancer transcriptomics with RPPA proteomics reveals mechanisms of epithelial-mesenchymal transition. PLoS Comput Biol 2018;14:e1005911. [PMID: 29293502 DOI: 10.1371/journal.pcbi.1005911] [Cited by in Crossref: 25] [Cited by in F6Publishing: 25] [Article Influence: 5.0] [Reference Citation Analysis]
71 Ma L, Zheng J. A polynomial based model for cell fate prediction in human diseases. BMC Syst Biol 2017;11:126. [PMID: 29322923 DOI: 10.1186/s12918-017-0502-5] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
72 Tang Y, Yuan R, Wang G, Zhu X, Ao P. Potential landscape of high dimensional nonlinear stochastic dynamics with large noise. Sci Rep 2017;7:15762. [PMID: 29150680 DOI: 10.1038/s41598-017-15889-2] [Cited by in Crossref: 22] [Cited by in F6Publishing: 25] [Article Influence: 3.7] [Reference Citation Analysis]
73 Bose I, Pal M. Criticality in cell differentiation. J Biosci 2017;42:683-93. [DOI: 10.1007/s12038-017-9721-6] [Cited by in Crossref: 12] [Cited by in F6Publishing: 12] [Article Influence: 2.0] [Reference Citation Analysis]
74 Fang X, Liu Q, Bohrer C, Hensel Z, Han W, Wang J, Xiao J. New Cell Fate Potentials and Switching Kinetics Uncovered in a Classic Bistable Genetic Switch.. [DOI: 10.1101/215061] [Reference Citation Analysis]
75 Kumar P, Tan Y, Cahan P. Understanding development and stem cells using single cell-based analyses of gene expression. Development 2017;144:17-32. [PMID: 28049689 DOI: 10.1242/dev.133058] [Cited by in Crossref: 95] [Cited by in F6Publishing: 97] [Article Influence: 15.8] [Reference Citation Analysis]
76 Smith RCG, Stumpf PS, Ridden SJ, Sim A, Filippi S, Harrington HA, MacArthur BD. Nanog Fluctuations in Embryonic Stem Cells Highlight the Problem of Measurement in Cell Biology. Biophys J 2017;112:2641-52. [PMID: 28636920 DOI: 10.1016/j.bpj.2017.05.005] [Cited by in Crossref: 15] [Cited by in F6Publishing: 9] [Article Influence: 2.5] [Reference Citation Analysis]
77 Peng G, Tam PPL, Jing N. Lineage specification of early embryos and embryonic stem cells at the dawn of enabling technologies. National Science Review 2017;4:533-42. [DOI: 10.1093/nsr/nwx093] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 0.7] [Reference Citation Analysis]
78 Mullen AC, Wrana JL. TGF-β Family Signaling in Embryonic and Somatic Stem-Cell Renewal and Differentiation. Cold Spring Harb Perspect Biol 2017;9:a022186. [PMID: 28108485 DOI: 10.1101/cshperspect.a022186] [Cited by in Crossref: 75] [Cited by in F6Publishing: 76] [Article Influence: 12.5] [Reference Citation Analysis]
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