-
2
-
-
0006648098
-
The mathematical structure of characters and modularity
-
Academic Press, G.P. Wagner (Ed.)
-
Kim J., Kim M. The mathematical structure of characters and modularity. The Character Concept in Evolutionary Biology 2001, 215-236. Academic Press. G.P. Wagner (Ed.).
-
(2001)
The Character Concept in Evolutionary Biology
, pp. 215-236
-
-
Kim, J.1
Kim, M.2
-
3
-
-
76549085435
-
Differential effects and rates of normal aging in cerebellum and hippocampus
-
Woodruff-Pak D.S., et al. Differential effects and rates of normal aging in cerebellum and hippocampus. Proc. Natl. Acad. Sci. U.S.A. 2010, 107:1624-1629.
-
(2010)
Proc. Natl. Acad. Sci. U.S.A.
, vol.107
, pp. 1624-1629
-
-
Woodruff-Pak, D.S.1
-
4
-
-
3943092621
-
Pathways towards and away from Alzheimer's disease
-
Mattson M.P. Pathways towards and away from Alzheimer's disease. Nature 2004, 430:631-639.
-
(2004)
Nature
, vol.430
, pp. 631-639
-
-
Mattson, M.P.1
-
5
-
-
34047196475
-
Life and death of neurons in the aging cerebral cortex
-
Morrison J.H., Hof P.R. Life and death of neurons in the aging cerebral cortex. Int. Rev. Neurobiol. 2007, 81:41-57.
-
(2007)
Int. Rev. Neurobiol.
, vol.81
, pp. 41-57
-
-
Morrison, J.H.1
Hof, P.R.2
-
6
-
-
0033933738
-
Expression profile of transcripts in Alzheimer's disease tangle-bearing CA1 neurons
-
Ginsberg S.D., et al. Expression profile of transcripts in Alzheimer's disease tangle-bearing CA1 neurons. Ann. Neurol. 2000, 48:77-87.
-
(2000)
Ann. Neurol.
, vol.48
, pp. 77-87
-
-
Ginsberg, S.D.1
-
7
-
-
5344271854
-
Memory and executive function in aging and AD: multiple factors that cause decline and reserve factors that compensate
-
Buckner R.L. Memory and executive function in aging and AD: multiple factors that cause decline and reserve factors that compensate. Neuron 2004, 44:195-208.
-
(2004)
Neuron
, vol.44
, pp. 195-208
-
-
Buckner, R.L.1
-
8
-
-
82555195566
-
Single-cell analysis: the deepest differences
-
Schubert C. Single-cell analysis: the deepest differences. Nature 2011, 480:133-137.
-
(2011)
Nature
, vol.480
, pp. 133-137
-
-
Schubert, C.1
-
9
-
-
0037119587
-
Stochastic gene expression in a single cell
-
Elowitz M.B., et al. Stochastic gene expression in a single cell. Science 2002, 297:1183-1186.
-
(2002)
Science
, vol.297
, pp. 1183-1186
-
-
Elowitz, M.B.1
-
10
-
-
0037008488
-
Single-cell gene expression profiling
-
Levsky J.M., et al. Single-cell gene expression profiling. Science 2002, 297:836-840.
-
(2002)
Science
, vol.297
, pp. 836-840
-
-
Levsky, J.M.1
-
11
-
-
0034598746
-
Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling
-
Alizadeh A.A., et al. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling. Nature 2000, 403:503-511.
-
(2000)
Nature
, vol.403
, pp. 503-511
-
-
Alizadeh, A.A.1
-
12
-
-
0037868952
-
Single-cell microarray analysis in hippocampus CA1: demonstration and validation of cellular heterogeneity
-
Kamme F., et al. Single-cell microarray analysis in hippocampus CA1: demonstration and validation of cellular heterogeneity. J. Neurosci. 2003, 23:3607-3615.
-
(2003)
J. Neurosci.
, vol.23
, pp. 3607-3615
-
-
Kamme, F.1
-
13
-
-
19544379881
-
Stochasticity in gene expression: from theories to phenotypes
-
Kaern M., et al. Stochasticity in gene expression: from theories to phenotypes. Nat. Rev. Genet. 2005, 6:451-464.
-
(2005)
Nat. Rev. Genet.
, vol.6
, pp. 451-464
-
-
Kaern, M.1
-
14
-
-
34249307504
-
Molecular heterogeneity of developing retinal ganglion and amacrine cells revealed through single cell gene expression profiling
-
Trimarchi J.M., et al. Molecular heterogeneity of developing retinal ganglion and amacrine cells revealed through single cell gene expression profiling. J. Comp. Neurol. 2007, 502:1047-1065.
-
(2007)
J. Comp. Neurol.
, vol.502
, pp. 1047-1065
-
-
Trimarchi, J.M.1
-
15
-
-
53549123008
-
Nature, nurture, or chance: stochastic gene expression and its consequences
-
Raj A., van Oudenaarden A. Nature, nurture, or chance: stochastic gene expression and its consequences. Cell 2008, 135:216-226.
-
(2008)
Cell
, vol.135
, pp. 216-226
-
-
Raj, A.1
van Oudenaarden, A.2
-
16
-
-
84863562292
-
Normalization, testing, and false discovery rate estimation for RNA-sequencing data
-
Li J., et al. Normalization, testing, and false discovery rate estimation for RNA-sequencing data. Biostatistics 2011, 13:523-538.
-
(2011)
Biostatistics
, vol.13
, pp. 523-538
-
-
Li, J.1
-
17
-
-
33745532801
-
Increased cell-to-cell variation in gene expression in ageing mouse heart
-
Bahar R., et al. Increased cell-to-cell variation in gene expression in ageing mouse heart. Nature 2006, 441:1011-1014.
-
(2006)
Nature
, vol.441
, pp. 1011-1014
-
-
Bahar, R.1
-
18
-
-
0026588147
-
Analysis of gene expression in single live neurons
-
Eberwine J., et al. Analysis of gene expression in single live neurons. Proc. Natl. Acad. Sci. U.S.A. 1992, 89:3010-3014.
-
(1992)
Proc. Natl. Acad. Sci. U.S.A.
, vol.89
, pp. 3010-3014
-
-
Eberwine, J.1
-
19
-
-
0028117753
-
On the nature and differential distribution of mRNAs in hippocampal neurites: implications for neuronal functioning
-
Miyashiro K., et al. On the nature and differential distribution of mRNAs in hippocampal neurites: implications for neuronal functioning. Proc. Natl. Acad. Sci. U.S.A. 1994, 91:10800-10804.
-
(1994)
Proc. Natl. Acad. Sci. U.S.A.
, vol.91
, pp. 10800-10804
-
-
Miyashiro, K.1
-
20
-
-
84979258664
-
Transcriptional profiling at whole population and single cell levels reveals somatosensory neuron molecular diversity
-
Chiu I.M., et al. Transcriptional profiling at whole population and single cell levels reveals somatosensory neuron molecular diversity. Elife 2014, 3:e04660.
-
(2014)
Elife
, vol.3
, pp. e04660
-
-
Chiu, I.M.1
-
21
-
-
84893905629
-
Massively parallel single-cell RNA-seq for marker-free decomposition of tissues into cell types
-
Jaitin D.A., et al. Massively parallel single-cell RNA-seq for marker-free decomposition of tissues into cell types. Science 2014, 343:776-779.
-
(2014)
Science
, vol.343
, pp. 776-779
-
-
Jaitin, D.A.1
-
22
-
-
84876085773
-
Quartz-Seq: a highly reproducible and sensitive single-cell RNA sequencing method, reveals non-genetic gene-expression heterogeneity
-
Sasagawa Y., et al. Quartz-Seq: a highly reproducible and sensitive single-cell RNA sequencing method, reveals non-genetic gene-expression heterogeneity. Genome Biol. 2013, 14:R31.
-
(2013)
Genome Biol.
, vol.14
, pp. R31
-
-
Sasagawa, Y.1
-
23
-
-
84878997106
-
Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells
-
Shalek A.K., et al. Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells. Nature 2013, 498:236-240.
-
(2013)
Nature
, vol.498
, pp. 236-240
-
-
Shalek, A.K.1
-
24
-
-
84883134780
-
Genetic programs in human and mouse early embryos revealed by single-cell RNA sequencing
-
Xue Z., et al. Genetic programs in human and mouse early embryos revealed by single-cell RNA sequencing. Nature 2013, 500:593-597.
-
(2013)
Nature
, vol.500
, pp. 593-597
-
-
Xue, Z.1
-
25
-
-
84924353105
-
Decoding the regulatory network of early blood development from single-cell gene expression measurements
-
Moignard V., et al. Decoding the regulatory network of early blood development from single-cell gene expression measurements. Nat. Biotechnol. 2015, 33:269-276.
-
(2015)
Nat. Biotechnol.
, vol.33
, pp. 269-276
-
-
Moignard, V.1
-
26
-
-
84928395184
-
RNA imaging. Spatially resolved, highly multiplexed RNA profiling in single cells
-
Chen K.H., et al. RNA imaging. Spatially resolved, highly multiplexed RNA profiling in single cells. Science 2015, 348:6090.
-
(2015)
Science
, vol.348
, pp. 6090
-
-
Chen, K.H.1
-
27
-
-
84892179132
-
Single-cell RNA-seq reveals dynamic, random monoallelic gene expression in mammalian cells
-
Deng Q., et al. Single-cell RNA-seq reveals dynamic, random monoallelic gene expression in mammalian cells. Science 2014, 343:193-196.
-
(2014)
Science
, vol.343
, pp. 193-196
-
-
Deng, Q.1
-
28
-
-
84902668801
-
Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma
-
Patel A.P., et al. Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma. Science 2014, 344:1396-1401.
-
(2014)
Science
, vol.344
, pp. 1396-1401
-
-
Patel, A.P.1
-
29
-
-
84903185013
-
Single-cell RNA-seq reveals dynamic paracrine control of cellular variation
-
Shalek A.K., et al. Single-cell RNA-seq reveals dynamic paracrine control of cellular variation. Nature 2014, 510:363-369.
-
(2014)
Nature
, vol.510
, pp. 363-369
-
-
Shalek, A.K.1
-
30
-
-
84923188586
-
Deconstructing transcriptional heterogeneity in pluripotent stem cells
-
Kumar R.M., et al. Deconstructing transcriptional heterogeneity in pluripotent stem cells. Nature 2014, 516:56-61.
-
(2014)
Nature
, vol.516
, pp. 56-61
-
-
Kumar, R.M.1
-
31
-
-
84939170642
-
Deep sequencing reveals cell-type-specific patterns of single-cell transcriptome variation
-
Dueck H., et al. Deep sequencing reveals cell-type-specific patterns of single-cell transcriptome variation. Genome Biol. 2015, 16:122.
-
(2015)
Genome Biol.
, vol.16
, pp. 122
-
-
Dueck, H.1
-
32
-
-
84939171986
-
Localization and abundance analysis of human lncRNAs at single-cell and single-molecule resolution
-
Cabili M.N., et al. Localization and abundance analysis of human lncRNAs at single-cell and single-molecule resolution. Genome Biol. 2015, 16:20.
-
(2015)
Genome Biol.
, vol.16
, pp. 20
-
-
Cabili, M.N.1
-
33
-
-
77249114260
-
Variability in gene expression underlies incomplete penetrance
-
Raj A., et al. Variability in gene expression underlies incomplete penetrance. Nature 2010, 463:913-918.
-
(2010)
Nature
, vol.463
, pp. 913-918
-
-
Raj, A.1
-
34
-
-
84893910301
-
Quantitative assessment of single-cell RNA-sequencing methods
-
Wu A.R., et al. Quantitative assessment of single-cell RNA-sequencing methods. Nat. Methods 2014, 11:41-46.
-
(2014)
Nat. Methods
, vol.11
, pp. 41-46
-
-
Wu, A.R.1
-
35
-
-
84868568364
-
Quantitative biology of single neurons
-
Eberwine J., et al. Quantitative biology of single neurons. J. R. Soc. Interface 2012, 9:3165-3183.
-
(2012)
J. R. Soc. Interface
, vol.9
, pp. 3165-3183
-
-
Eberwine, J.1
-
36
-
-
84895562012
-
From single-cell to cell-pool transcriptomes: stochasticity in gene expression and RNA splicing
-
Marinov G.K., et al. From single-cell to cell-pool transcriptomes: stochasticity in gene expression and RNA splicing. Genome Res. 2014, 24:496-510.
-
(2014)
Genome Res.
, vol.24
, pp. 496-510
-
-
Marinov, G.K.1
-
37
-
-
84901831004
-
Validation of noise models for single-cell transcriptomics
-
Grun D., et al. Validation of noise models for single-cell transcriptomics. Nat. Methods 2014, 11:637-640.
-
(2014)
Nat. Methods
, vol.11
, pp. 637-640
-
-
Grun, D.1
-
38
-
-
27844529344
-
Proposed methods for testing and selecting the ERCC external RNA controls
-
External RNA Controls Consortium Proposed methods for testing and selecting the ERCC external RNA controls. BMC Genomics 2005, 6:150.
-
(2005)
BMC Genomics
, vol.6
, pp. 150
-
-
-
39
-
-
84936803955
-
Normalization and noise reduction for single cell RNA-seq experiments
-
Ding B., et al. Normalization and noise reduction for single cell RNA-seq experiments. Bioinformatics 2015, 31:2225-2227.
-
(2015)
Bioinformatics
, vol.31
, pp. 2225-2227
-
-
Ding, B.1
-
40
-
-
84897139457
-
Every cell is special: genome-wide studies add a new dimension to single-cell biology
-
Junker J.P., van Oudenaarden A. Every cell is special: genome-wide studies add a new dimension to single-cell biology. Cell 2014, 157:8-11.
-
(2014)
Cell
, vol.157
, pp. 8-11
-
-
Junker, J.P.1
van Oudenaarden, A.2
-
41
-
-
84923775038
-
Visualizing cellular imaging data using PhenoPlot
-
Sailem H.Z., et al. Visualizing cellular imaging data using PhenoPlot. Nat. Commun. 2015, 6:5825.
-
(2015)
Nat. Commun.
, vol.6
, pp. 5825
-
-
Sailem, H.Z.1
-
42
-
-
84930717705
-
Dynamic visualization of transcription and RNA subcellular localization in zebrafish
-
Campbell P.D., et al. Dynamic visualization of transcription and RNA subcellular localization in zebrafish. Development 2015, 142:1368-1374.
-
(2015)
Development
, vol.142
, pp. 1368-1374
-
-
Campbell, P.D.1
-
43
-
-
84894328417
-
Random monoallelic gene expression increases upon embryonic stem cell differentiation
-
Eckersley-Maslin M.A., et al. Random monoallelic gene expression increases upon embryonic stem cell differentiation. Dev. Cell 2014, 28:351-365.
-
(2014)
Dev. Cell
, vol.28
, pp. 351-365
-
-
Eckersley-Maslin, M.A.1
-
44
-
-
66149128896
-
Transcriptome transfer produces a predictable cellular phenotype
-
Sul J.Y., et al. Transcriptome transfer produces a predictable cellular phenotype. Proc. Natl. Acad. Sci. U.S.A. 2009, 106:7624-7629.
-
(2009)
Proc. Natl. Acad. Sci. U.S.A.
, vol.106
, pp. 7624-7629
-
-
Sul, J.Y.1
-
45
-
-
84921466417
-
Unbiased classification of sensory neuron types by large-scale single-cell RNA sequencing
-
Usoskin D., et al. Unbiased classification of sensory neuron types by large-scale single-cell RNA sequencing. Nat. Neurosci. 2015, 18:145-153.
-
(2015)
Nat. Neurosci.
, vol.18
, pp. 145-153
-
-
Usoskin, D.1
-
46
-
-
84900529199
-
Reconstructing lineage hierarchies of the distal lung epithelium using single-cell RNA-seq
-
Treutlein B., et al. Reconstructing lineage hierarchies of the distal lung epithelium using single-cell RNA-seq. Nature 2014, 509:371-375.
-
(2014)
Nature
, vol.509
, pp. 371-375
-
-
Treutlein, B.1
-
47
-
-
84908436879
-
Defining midbrain dopaminergic neuron diversity by single-cell gene expression profiling
-
Poulin J.F., et al. Defining midbrain dopaminergic neuron diversity by single-cell gene expression profiling. Cell Rep. 2014, 9:930-943.
-
(2014)
Cell Rep.
, vol.9
, pp. 930-943
-
-
Poulin, J.F.1
-
48
-
-
79960630264
-
Central dogma at the single-molecule level in living cells
-
Li G.W., Xie X.S. Central dogma at the single-molecule level in living cells. Nature 2011, 475:308-315.
-
(2011)
Nature
, vol.475
, pp. 308-315
-
-
Li, G.W.1
Xie, X.S.2
-
49
-
-
0842285841
-
Summing up the noise in gene networks
-
Paulsson J. Summing up the noise in gene networks. Nature 2004, 427:415-418.
-
(2004)
Nature
, vol.427
, pp. 415-418
-
-
Paulsson, J.1
-
50
-
-
84895069488
-
Quantitative single-cell RNA-seq with unique molecular identifiers
-
Islam S., et al. Quantitative single-cell RNA-seq with unique molecular identifiers. Nat. Methods 2014, 11:163-166.
-
(2014)
Nat. Methods
, vol.11
, pp. 163-166
-
-
Islam, S.1
-
51
-
-
84904582175
-
Mechanism of transcriptional bursting in bacteria
-
Chong S., et al. Mechanism of transcriptional bursting in bacteria. Cell 2014, 158:314-326.
-
(2014)
Cell
, vol.158
, pp. 314-326
-
-
Chong, S.1
-
52
-
-
84922711928
-
The reduction of gene expression variability from single cells to populations follows simple statistical laws
-
Piras V., Selvarajoo K. The reduction of gene expression variability from single cells to populations follows simple statistical laws. Genomics 2015, 105:137-144.
-
(2015)
Genomics
, vol.105
, pp. 137-144
-
-
Piras, V.1
Selvarajoo, K.2
-
53
-
-
84919471287
-
Transcriptome-wide variability in single embryonic development cells
-
Piras V., et al. Transcriptome-wide variability in single embryonic development cells. Sci. Rep. 2014, 4:7137.
-
(2014)
Sci. Rep.
, vol.4
, pp. 7137
-
-
Piras, V.1
-
54
-
-
79956322553
-
Global quantification of mammalian gene expression control
-
Schwanhausser B., et al. Global quantification of mammalian gene expression control. Nature 2011, 473:337-342.
-
(2011)
Nature
, vol.473
, pp. 337-342
-
-
Schwanhausser, B.1
-
55
-
-
84924726103
-
Identifying functional gene regulatory network phenotypes underlying single cell transcriptional variability
-
Park J., et al. Identifying functional gene regulatory network phenotypes underlying single cell transcriptional variability. Prog. Biophys. Mol. Biol. 2015, 117:87-98.
-
(2015)
Prog. Biophys. Mol. Biol.
, vol.117
, pp. 87-98
-
-
Park, J.1
-
56
-
-
0036739284
-
Geometry of gene expression dynamics
-
Rifkin S.A., Kim J. Geometry of gene expression dynamics. Bioinformatics 2002, 18:1176-1183.
-
(2002)
Bioinformatics
, vol.18
, pp. 1176-1183
-
-
Rifkin, S.A.1
Kim, J.2
-
57
-
-
78349311677
-
Genomics and systems approaches in the mammalian circadian clock
-
Baggs J.E., Hogenesch J.B. Genomics and systems approaches in the mammalian circadian clock. Curr. Opin. Genet. Dev. 2010, 20:581-587.
-
(2010)
Curr. Opin. Genet. Dev.
, vol.20
, pp. 581-587
-
-
Baggs, J.E.1
Hogenesch, J.B.2
-
58
-
-
33747591416
-
Metabolic cycles as an underlying basis of biological oscillations
-
Tu B.P., McKnight S.L. Metabolic cycles as an underlying basis of biological oscillations. Nat. Rev. Mol. Cell Biol. 2006, 7:696-701.
-
(2006)
Nat. Rev. Mol. Cell Biol.
, vol.7
, pp. 696-701
-
-
Tu, B.P.1
McKnight, S.L.2
-
59
-
-
84905378578
-
Robust synchronization of coupled circadian and cell cycle oscillators in single mammalian cells
-
Bieler J., et al. Robust synchronization of coupled circadian and cell cycle oscillators in single mammalian cells. Mol. Syst. Biol. 2014, 10:739.
-
(2014)
Mol. Syst. Biol.
, vol.10
, pp. 739
-
-
Bieler, J.1
-
60
-
-
84900346600
-
Reconstruction of the mouse otocyst and early neuroblast lineage at single-cell resolution
-
Durruthy-Durruthy R., et al. Reconstruction of the mouse otocyst and early neuroblast lineage at single-cell resolution. Cell 2014, 157:964-978.
-
(2014)
Cell
, vol.157
, pp. 964-978
-
-
Durruthy-Durruthy, R.1
-
61
-
-
84923292191
-
Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells
-
Buettner F., et al. Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells. Nat. Biotechnol. 2015, 33:155-160.
-
(2015)
Nat. Biotechnol.
, vol.33
, pp. 155-160
-
-
Buettner, F.1
-
62
-
-
84905457964
-
Modeling bi-modality improves characterization of cell cycle on gene expression in single cells
-
McDavid A., et al. Modeling bi-modality improves characterization of cell cycle on gene expression in single cells. PLoS Comput. Biol. 2014, 10:e1003696.
-
(2014)
PLoS Comput. Biol.
, vol.10
, pp. e1003696
-
-
McDavid, A.1
-
63
-
-
2942718723
-
Control of stochasticity in eukaryotic gene expression
-
Raser J.M., O'Shea E.K. Control of stochasticity in eukaryotic gene expression. Science 2004, 304:1811-1814.
-
(2004)
Science
, vol.304
, pp. 1811-1814
-
-
Raser, J.M.1
O'Shea, E.K.2
-
64
-
-
41349119880
-
Stochastic switching as a survival strategy in fluctuating environments
-
Acar M., et al. Stochastic switching as a survival strategy in fluctuating environments. Nat. Genet. 2008, 40:471-475.
-
(2008)
Nat. Genet.
, vol.40
, pp. 471-475
-
-
Acar, M.1
-
65
-
-
84922650864
-
Microbial individuality: how single-cell heterogeneity enables population level strategies
-
Martins B.M., Locke J.C. Microbial individuality: how single-cell heterogeneity enables population level strategies. Curr. Opin. Microbiol. 2015, 24:104-112.
-
(2015)
Curr. Opin. Microbiol.
, vol.24
, pp. 104-112
-
-
Martins, B.M.1
Locke, J.C.2
-
66
-
-
41949116255
-
Bet-hedging and epigenetic inheritance in bacterial cell development
-
Veening J.W., et al. Bet-hedging and epigenetic inheritance in bacterial cell development. Proc. Natl. Acad. Sci. U.S.A. 2008, 105:4393-4398.
-
(2008)
Proc. Natl. Acad. Sci. U.S.A.
, vol.105
, pp. 4393-4398
-
-
Veening, J.W.1
-
68
-
-
84902667430
-
Controlling low rates of cell differentiation through noise and ultrahigh feedback
-
Ahrends R., et al. Controlling low rates of cell differentiation through noise and ultrahigh feedback. Science 2014, 344:1384-1389.
-
(2014)
Science
, vol.344
, pp. 1384-1389
-
-
Ahrends, R.1
-
69
-
-
84891346362
-
Cell-to-cell expression variability followed by signal reinforcement progressively segregates early mouse lineages
-
Ohnishi Y., et al. Cell-to-cell expression variability followed by signal reinforcement progressively segregates early mouse lineages. Nat. Cell Biol. 2014, 16:27-37.
-
(2014)
Nat. Cell Biol.
, vol.16
, pp. 27-37
-
-
Ohnishi, Y.1
-
70
-
-
84866369892
-
Single-cell expression analyses during cellular reprogramming reveal an early stochastic and a late hierarchic phase
-
Buganim Y., et al. Single-cell expression analyses during cellular reprogramming reveal an early stochastic and a late hierarchic phase. Cell 2012, 150:1209-1222.
-
(2012)
Cell
, vol.150
, pp. 1209-1222
-
-
Buganim, Y.1
-
71
-
-
84901836394
-
Inputs drive cell phenotype variability
-
Park J., et al. Inputs drive cell phenotype variability. Genome Res. 2014, 24:930-941.
-
(2014)
Genome Res.
, vol.24
, pp. 930-941
-
-
Park, J.1
-
72
-
-
84895071445
-
Transcriptome in vivo analysis (TIVA) of spatially defined single cells in live tissue
-
Lovatt D., et al. Transcriptome in vivo analysis (TIVA) of spatially defined single cells in live tissue. Nat. Methods 2014, 11:190-196.
-
(2014)
Nat. Methods
, vol.11
, pp. 190-196
-
-
Lovatt, D.1
-
73
-
-
77954920254
-
Population robustness arising from cellular heterogeneity
-
Paszek P., et al. Population robustness arising from cellular heterogeneity. Proc. Natl. Acad. Sci. U.S.A. 2010, 107:11644-11649.
-
(2010)
Proc. Natl. Acad. Sci. U.S.A.
, vol.107
, pp. 11644-11649
-
-
Paszek, P.1
-
74
-
-
77953535926
-
RNA: state memory and mediator of cellular phenotype
-
Kim J., Eberwine J. RNA: state memory and mediator of cellular phenotype. Trends Cell Biol. 2010, 20:311-318.
-
(2010)
Trends Cell Biol.
, vol.20
, pp. 311-318
-
-
Kim, J.1
Eberwine, J.2
-
75
-
-
34250735674
-
RNA regulons: coordination of post-transcriptional events
-
Keene J.D. RNA regulons: coordination of post-transcriptional events. Nat. Rev. Genet. 2007, 8:533-543.
-
(2007)
Nat. Rev. Genet.
, vol.8
, pp. 533-543
-
-
Keene, J.D.1
-
76
-
-
61849137222
-
Many roads to maturity: microRNA biogenesis pathways and their regulation
-
Winter J., et al. Many roads to maturity: microRNA biogenesis pathways and their regulation. Nat. Cell Biol. 2009, 11:228-234.
-
(2009)
Nat. Cell Biol.
, vol.11
, pp. 228-234
-
-
Winter, J.1
-
77
-
-
33845809231
-
P bodies: at the crossroads of post-transcriptional pathways
-
Eulalio A., et al. P bodies: at the crossroads of post-transcriptional pathways. Nat. Rev. Mol. Cell Biol. 2007, 8:9-22.
-
(2007)
Nat. Rev. Mol. Cell Biol.
, vol.8
, pp. 9-22
-
-
Eulalio, A.1
-
78
-
-
38349169664
-
Mechanisms of post-transcriptional regulation by microRNAs: are the answers in sight?
-
Filipowicz W., et al. Mechanisms of post-transcriptional regulation by microRNAs: are the answers in sight?. Nat. Rev. Genet. 2008, 9:102-114.
-
(2008)
Nat. Rev. Genet.
, vol.9
, pp. 102-114
-
-
Filipowicz, W.1
-
79
-
-
28044453909
-
RNA splicing capability of live neuronal dendrites
-
Glanzer J., et al. RNA splicing capability of live neuronal dendrites. Proc. Natl. Acad. Sci. U.S.A. 2005, 102:16859-16864.
-
(2005)
Proc. Natl. Acad. Sci. U.S.A.
, vol.102
, pp. 16859-16864
-
-
Glanzer, J.1
-
80
-
-
60149086205
-
MRNA localization: gene expression in the spatial dimension
-
Martin K.C., Ephrussi A. mRNA localization: gene expression in the spatial dimension. Cell 2009, 136:719-730.
-
(2009)
Cell
, vol.136
, pp. 719-730
-
-
Martin, K.C.1
Ephrussi, A.2
-
81
-
-
35349012982
-
Post-transcriptional regulation of gene expression in trypanosomes and leishmanias
-
Clayton C., Shapira M. Post-transcriptional regulation of gene expression in trypanosomes and leishmanias. Mol. Biochem. Parasitol. 2007, 156:93-101.
-
(2007)
Mol. Biochem. Parasitol.
, vol.156
, pp. 93-101
-
-
Clayton, C.1
Shapira, M.2
-
82
-
-
84893342094
-
Open questions: a rose is a rose is a rose: or not?
-
Germain R.N. Open questions: a rose is a rose is a rose: or not?. BMC Biol. 2014, 12:2.
-
(2014)
BMC Biol.
, vol.12
, pp. 2
-
-
Germain, R.N.1
-
83
-
-
0004263107
-
-
Carnegie Institution of Washington
-
Clements F.E. Plant Succession 1916, Carnegie Institution of Washington.
-
(1916)
Plant Succession
-
-
Clements, F.E.1
|