-
1
-
-
0025127307
-
The dose dependence of glucocorticoid-inducible gene expression results from changes in the number of transcriptionally active templates
-
Ko M, Nakauchi H, Takahashi N, The dose dependence of glucocorticoid-inducible gene expression results from changes in the number of transcriptionally active templates. The EMBO journal. 1990;9(9):2835. 2167833
-
(1990)
The EMBO journal
, vol.9
, Issue.9
, pp. 2835
-
-
Ko, M.1
Nakauchi, H.2
Takahashi, N.3
-
2
-
-
33645033645
-
Probing gene expression in live cells, one protein molecule at a time
-
16543458,.;: –
-
Yu J, Xiao J, Ren X, Lao K, Xie XS, Probing gene expression in live cells, one protein molecule at a time. Science. 2006;311(5767):1600–1603. doi: 10.1126/science.111962316543458
-
(2006)
Science
, vol.311
, Issue.5767
, pp. 1600-1603
-
-
Yu, J.1
Xiao, J.2
Ren, X.3
Lao, K.4
Xie, X.S.5
-
3
-
-
84860794159
-
Live imaging of nascent RNA dynamics reveals distinct types of transcriptional pulse regulation
-
22529358,.;: –
-
Muramoto T, Cannon D, Gierlinski M, Corrigan A, Barton GJ, Chubb JR, Live imaging of nascent RNA dynamics reveals distinct types of transcriptional pulse regulation. Proc Natl Acad Sci U S A. 2012May;109(19):7350–7355. doi: 10.1073/pnas.111760310922529358
-
(2012)
Proc Natl Acad Sci U S A
, vol.109
, Issue.19
, pp. 7350-7355
-
-
Muramoto, T.1
Cannon, D.2
Gierlinski, M.3
Corrigan, A.4
Barton, G.J.5
Chubb, J.R.6
-
4
-
-
79955381895
-
Mammalian genes are transcribed with widely different bursting kinetics
-
21415320,.;: –
-
Suter DM, Molina N, Gatfield D, Schneider K, Schibler U, Naef F, Mammalian genes are transcribed with widely different bursting kinetics. Science. 2011Apr;332(6028):472–474. doi: 10.1126/science.119881721415320
-
(2011)
Science
, vol.332
, Issue.6028
, pp. 472-474
-
-
Suter, D.M.1
Molina, N.2
Gatfield, D.3
Schneider, K.4
Schibler, U.5
Naef, F.6
-
5
-
-
84867914780
-
Transcriptional burst frequency and burst size are equally modulated across the human genome
-
Dar RD, Razooky BS, Singh A, Trimeloni TV, McCollum JM, Cox CD, et al. Transcriptional burst frequency and burst size are equally modulated across the human genome. Proceedings of the National Academy of Sciences. 2012;109(43):17454–17459. doi: 10.1073/pnas.1213530109
-
(2012)
Proceedings of the National Academy of Sciences
, vol.109
, Issue.43
, pp. 17454-17459
-
-
Dar, R.D.1
Razooky, B.S.2
Singh, A.3
Trimeloni, T.V.4
McCollum, J.M.5
Cox, C.D.6
-
6
-
-
0026075591
-
A stochastic model for gene induction
-
1787735,.;: –
-
Ko MS, A stochastic model for gene induction. Journal of Theoretical Biology. 1991;153(2):181–194. doi: 10.1016/S0022-5193(05)80421-71787735
-
(1991)
Journal of Theoretical Biology
, vol.153
, Issue.2
, pp. 181-194
-
-
Ko, M.S.1
-
7
-
-
0000111447
-
Markovian modeling of gene-product synthesis
-
Peccoud J, Ycart B, Markovian modeling of gene-product synthesis. Theoretical population biology. 1995;48(2):222–234. doi: 10.1006/tpbi.1995.1027
-
(1995)
Theoretical population biology
, vol.48
, Issue.2
, pp. 222-234
-
-
Peccoud, J.1
Ycart, B.2
-
8
-
-
84883138228
-
Linking stochastic fluctuations in chromatin structure and gene expression
-
23940458,.;:
-
Brown CR, Mao C, Falkovskaia E, Jurica MS, Boeger H, Linking stochastic fluctuations in chromatin structure and gene expression. PLoS Biol. 2013;11(8):e1001621. doi: 10.1371/journal.pbio.100162123940458
-
(2013)
PLoS Biol
, vol.11
, Issue.8
, pp. e1001621
-
-
Brown, C.R.1
Mao, C.2
Falkovskaia, E.3
Jurica, M.S.4
Boeger, H.5
-
9
-
-
84875214621
-
Two DNA-encoded strategies for increasing expression with opposing effects on promoter dynamics and transcriptional noise
-
23403035,..;: –
-
Dadiani M, van Dijk D, Segal B, Field Y, Ben-Artzi G, Raveh-Sadka T, et al. Two DNA-encoded strategies for increasing expression with opposing effects on promoter dynamics and transcriptional noise. Genome research. 2013;23(6):966–976. doi: 10.1101/gr.149096.11223403035
-
(2013)
Genome research
, vol.23
, Issue.6
, pp. 966-976
-
-
Dadiani, M.1
van Dijk, D.2
Segal, B.3
Field, Y.4
Ben-Artzi, G.5
Raveh-Sadka, T.6
-
10
-
-
84877347046
-
Holo-TFIID controls the magnitude of a transcription burst and fine-tuning of transcription
-
Pennington KL, Marr SK, Chirn GW, Marr MT, Holo-TFIID controls the magnitude of a transcription burst and fine-tuning of transcription. Proceedings of the National Academy of Sciences. 2013;110(19):7678–7683. doi: 10.1073/pnas.1221712110
-
(2013)
Proceedings of the National Academy of Sciences
, vol.110
, Issue.19
, pp. 7678-7683
-
-
Pennington, K.L.1
Marr, S.K.2
Chirn, G.W.3
Marr, M.T.4
-
11
-
-
33748994704
-
Stochastic mRNA synthesis in mammalian cells
-
17048983,.;:
-
Raj A, Peskin CS, Tranchina D, Vargas DY, Tyagi S, Stochastic mRNA synthesis in mammalian cells. PLoS Biol. 2006Oct;4(10):e309. doi: 10.1371/journal.pbio.004030917048983
-
(2006)
PLoS Biol
, vol.4
, Issue.10
, pp. e309
-
-
Raj, A.1
Peskin, C.S.2
Tranchina, D.3
Vargas, D.Y.4
Tyagi, S.5
-
12
-
-
84954396263
-
Inferring the kinetics of stochastic gene expression from single-cell RNA-sequencing data
-
23360624,.;:
-
Kim JK, Marioni JC, Inferring the kinetics of stochastic gene expression from single-cell RNA-sequencing data. Genome Biol. 2013Jan;14(1):R7. doi: 10.1186/gb-2013-14-1-r723360624
-
(2013)
Genome Biol
, vol.14
, Issue.1
, pp. R7
-
-
Kim, J.K.1
Marioni, J.C.2
-
13
-
-
84883385125
-
Transcriptional regulation of lineage commitment–a stochastic model of cell fate decisions
-
23990771,.;:
-
Teles J, Pina C, Ohlsson M, Enver T, Peterson C, Transcriptional regulation of lineage commitment–a stochastic model of cell fate decisions. PLoS Comput Biol. 2013Aug;9(8):e1003197. doi: 10.1371/journal.pcbi.100319723990771
-
(2013)
PLoS Comput Biol
, vol.9
, Issue.8
, pp. e1003197
-
-
Teles, J.1
Pina, C.2
Ohlsson, M.3
Enver, T.4
Peterson, C.5
-
14
-
-
84876471008
-
Characterization of transcriptional networks in blood stem and progenitor cells using high-throughput single-cell gene expression analysis
-
23524953,..;: –
-
Moignard V, Macaulay IC, Swiers G, Buettner F, Schütte J, Calero-Nieto FJ, et al. Characterization of transcriptional networks in blood stem and progenitor cells using high-throughput single-cell gene expression analysis. Nat Cell Biol. 2013Apr;15(4):363–372. doi: 10.1038/ncb270923524953
-
(2013)
Nat Cell Biol
, vol.15
, Issue.4
, pp. 363-372
-
-
Moignard, V.1
Macaulay, I.C.2
Swiers, G.3
Buettner, F.4
Schütte, J.5
Calero-Nieto, F.J.6
-
15
-
-
84885172419
-
Mapping cellular hierarchy by single-cell analysis of the cell surface repertoire
-
24035353,..;: –
-
Guo G, Luc S, Marco E, Lin TW, Peng C, Kerenyi MA, et al. Mapping cellular hierarchy by single-cell analysis of the cell surface repertoire. Cell Stem Cell. 2013Oct;13(4):492–505. doi: 10.1016/j.stem.2013.07.01724035353
-
(2013)
Cell Stem Cell
, vol.13
, Issue.4
, pp. 492-505
-
-
Guo, G.1
Luc, S.2
Marco, E.3
Lin, T.W.4
Peng, C.5
Kerenyi, M.A.6
-
16
-
-
77957348625
-
Combinatorial transcriptional control in blood stem/progenitor cells: genome-wide analysis of ten major transcriptional regulators
-
20887958,..;: –
-
Wilson NK, Foster SD, Wang X, Knezevic K, Schütte J, Kaimakis P, et al. Combinatorial transcriptional control in blood stem/progenitor cells: genome-wide analysis of ten major transcriptional regulators. Cell stem cell. 2010;7(4):532–544. doi: 10.1016/j.stem.2010.07.01620887958
-
(2010)
Cell stem cell
, vol.7
, Issue.4
, pp. 532-544
-
-
Wilson, N.K.1
Foster, S.D.2
Wang, X.3
Knezevic, K.4
Schütte, J.5
Kaimakis, P.6
-
17
-
-
34848883146
-
Reciprocal activation of GATA-1 and PU. 1 marks initial specification of hematopoietic stem cells into myeloerythroid and myelolymphoid lineages
-
18371378,..;: –
-
Arinobu Y, Mizuno Si, Chong Y, Shigematsu H, Iino T, Iwasaki H, et al. Reciprocal activation of GATA-1 and PU. 1 marks initial specification of hematopoietic stem cells into myeloerythroid and myelolymphoid lineages. Cell stem cell. 2007;1(4):416–427. doi: 10.1016/j.stem.2007.07.00418371378
-
(2007)
Cell stem cell
, vol.1
, Issue.4
, pp. 416-427
-
-
Arinobu, Y.1
Mizuno, S.2
Chong, Y.3
Shigematsu, H.4
Iino, T.5
Iwasaki, H.6
-
18
-
-
84893803625
-
High c-Kit expression identifies hematopoietic stem cells with impaired self-renewal and megakaryocytic bias
-
24446491,.;: –
-
Shin JY, Hu W, Naramura M, Park CY, High c-Kit expression identifies hematopoietic stem cells with impaired self-renewal and megakaryocytic bias. The Journal of experimental medicine. 2014;211(2):217–231. doi: 10.1084/jem.2013112824446491
-
(2014)
The Journal of experimental medicine
, vol.211
, Issue.2
, pp. 217-231
-
-
Shin, J.Y.1
Hu, W.2
Naramura, M.3
Park, C.Y.4
-
19
-
-
53549119431
-
Deletion of Mtg16, a target of t (16; 21), alters hematopoietic progenitor cell proliferation and lineage allocation
-
18710942,..;: –
-
Chyla BJ, Moreno-Miralles I, Steapleton MA, Thompson MA, Bhaskara S, Engel M, et al. Deletion of Mtg16, a target of t (16; 21), alters hematopoietic progenitor cell proliferation and lineage allocation. Molecular and cellular biology. 2008;28(20):6234–6247. doi: 10.1128/MCB.00404-0818710942
-
(2008)
Molecular and cellular biology
, vol.28
, Issue.20
, pp. 6234-6247
-
-
Chyla, B.J.1
Moreno-Miralles, I.2
Steapleton, M.A.3
Thompson, M.A.4
Bhaskara, S.5
Engel, M.6
-
20
-
-
0035892121
-
Regulation of the PU. 1 gene by distal elements
-
11698277,..;: –
-
Li Y, Okuno Y, Zhang P, Radomska HS, Chen Hm, Iwasaki H, et al. Regulation of the PU. 1 gene by distal elements. Blood. 2001;98(10):2958–2965. doi: 10.1182/blood.V98.10.295811698277
-
(2001)
Blood
, vol.98
, Issue.10
, pp. 2958-2965
-
-
Li, Y.1
Okuno, Y.2
Zhang, P.3
Radomska, H.S.4
Chen, H.5
Iwasaki, H.6
-
21
-
-
0032190190
-
Expression of the LIM-homeobox gene LH2 generates immortalized steel factor-dependent multipotent hematopoietic precursors
-
9755174,.;: –
-
Pinto do O P, Kolterud A, Carlsson L, Expression of the LIM-homeobox gene LH2 generates immortalized steel factor-dependent multipotent hematopoietic precursors. EMBO J. 1998Oct;17(19):5744–5756. doi: 10.1093/emboj/17.19.57449755174
-
(1998)
EMBO J
, vol.17
, Issue.19
, pp. 5744-5756
-
-
Pinto do, P.1
Kolterud, A.2
Carlsson, L.3
-
22
-
-
78149471436
-
Gfi1 and Gfi1b: key regulators of hematopoiesis
-
20861919,.;: –
-
van der Meer LT, Jansen JH, van der Reijden BA, Gfi1 and Gfi1b: key regulators of hematopoiesis. Leukemia. 2010Nov;24(11):1834–1843. doi: 10.1038/leu.2010.19520861919
-
(2010)
Leukemia
, vol.24
, Issue.11
, pp. 1834-1843
-
-
van der Meer, L.T.1
Jansen, J.H.2
van der Reijden, B.A.3
-
23
-
-
84946060265
-
CODEX: a next-generation sequencing experiment database for the haematopoietic and embryonic stem cell communities
-
25270877,..;: –
-
Sánchez-Castillo M, Ruau D, Wilkinson AC, Ng FSL, Hannah R, Diamanti E, et al. CODEX: a next-generation sequencing experiment database for the haematopoietic and embryonic stem cell communities. Nucleic Acids Res. 2015Jan;43(Database issue):D1117–D1123. doi: 10.1093/nar/gku89525270877
-
(2015)
Nucleic Acids Res
, vol.43
, Issue.Database issue
, pp. D1117-D1123
-
-
Sánchez-Castillo, M.1
Ruau, D.2
Wilkinson, A.C.3
Ng, F.S.L.4
Hannah, R.5
Diamanti, E.6
-
24
-
-
33747187231
-
Role of a 5’-enhancer in the transcriptional regulation of the human endothelial cell protein C receptor gene
-
16627757,..;: –
-
Mollica LR, Crawley JTB, Liu K, Rance JB, Cockerill PN, Follows GA, et al. Role of a 5’-enhancer in the transcriptional regulation of the human endothelial cell protein C receptor gene. Blood. 2006Aug;108(4):1251–1259. doi: 10.1182/blood-2006-02-00146116627757
-
(2006)
Blood
, vol.108
, Issue.4
, pp. 1251-1259
-
-
Mollica, L.R.1
Crawley, J.T.B.2
Liu, K.3
Rance, J.B.4
Cockerill, P.N.5
Follows, G.A.6
-
25
-
-
33746498580
-
Transformation from committed progenitor to leukaemia stem cell initiated by MLL–AF9
-
16862118,..;: –
-
Krivtsov AV, Twomey D, Feng Z, Stubbs MC, Wang Y, Faber J, et al. Transformation from committed progenitor to leukaemia stem cell initiated by MLL–AF9. Nature. 2006;442(7104):818–822. doi: 10.1038/nature0498016862118
-
(2006)
Nature
, vol.442
, Issue.7104
, pp. 818-822
-
-
Krivtsov, A.V.1
Twomey, D.2
Feng, Z.3
Stubbs, M.C.4
Wang, Y.5
Faber, J.6
-
26
-
-
84875980968
-
TLR9 signaling defines distinct prognostic subsets in CLL
-
Efremov DG, Bomben R, Gobessi S, Gattei V, TLR9 signaling defines distinct prognostic subsets in CLL. Front Biosci (Landmark Ed). 2013;18:371–386. doi: 10.2741/4108
-
(2013)
Front Biosci (Landmark Ed)
, vol.18
, pp. 371-386
-
-
Efremov, D.G.1
Bomben, R.2
Gobessi, S.3
Gattei, V.4
-
27
-
-
84923292191
-
Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells
-
25599176,..;: –
-
Buettner F, Natarajan KN, Casale FP, Proserpio V, Scialdone A, Theis FJ, et al. Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells. Nat Biotechnol. 2015Feb;33(2):155–160. doi: 10.1038/nbt.310225599176
-
(2015)
Nat Biotechnol
, vol.33
, Issue.2
, pp. 155-160
-
-
Buettner, F.1
Natarajan, K.N.2
Casale, F.P.3
Proserpio, V.4
Scialdone, A.5
Theis, F.J.6
-
28
-
-
84865697158
-
Analytical results for a multistate gene model
-
Zhou T, Zhang J, Analytical results for a multistate gene model. SIAM Journal on Applied Mathematics. 2012;72(3):789–818. doi: 10.1137/110852887
-
(2012)
SIAM Journal on Applied Mathematics
, vol.72
, Issue.3
, pp. 789-818
-
-
Zhou, T.1
Zhang, J.2
-
29
-
-
77955502318
-
Modeling reveals bistability and low-pass filtering in the network module determining blood stem cell fate
-
20463872,.;:
-
Narula J, Smith AM, Gottgens B, Igoshin OA, Modeling reveals bistability and low-pass filtering in the network module determining blood stem cell fate. PLoS Comput Biol. 2010May;6(5):e1000771. doi: 10.1371/journal.pcbi.100077120463872
-
(2010)
PLoS Comput Biol
, vol.6
, Issue.5
, pp. e1000771
-
-
Narula, J.1
Smith, A.M.2
Gottgens, B.3
Igoshin, O.A.4
-
30
-
-
23744505924
-
Lentiviral shRNA silencing of murine bone marrow cell CCR2 leads to persistent knockdown of CCR2 function in vivo
-
15886324,..;: –
-
Bot I, Guo J, Van Eck M, Van Santbrink PJ, Groot PH, Hildebrand RB, et al. Lentiviral shRNA silencing of murine bone marrow cell CCR2 leads to persistent knockdown of CCR2 function in vivo. Blood. 2005;106(4):1147–1153. doi: 10.1182/blood-2004-12-483915886324
-
(2005)
Blood
, vol.106
, Issue.4
, pp. 1147-1153
-
-
Bot, I.1
Guo, J.2
Van Eck, M.3
Van Santbrink, P.J.4
Groot, P.H.5
Hildebrand, R.B.6
-
31
-
-
70249123849
-
GATA-2 reinforces megakaryocyte development in the absence of GATA-1
-
19620289,..;: –
-
Huang Z, Dore LC, Li Z, Orkin SH, Feng G, Lin S, et al. GATA-2 reinforces megakaryocyte development in the absence of GATA-1. Mol Cell Biol. 2009Sep;29(18):5168–5180. doi: 10.1128/MCB.00482-0919620289
-
(2009)
Mol Cell Biol
, vol.29
, Issue.18
, pp. 5168-5180
-
-
Huang, Z.1
Dore, L.C.2
Li, Z.3
Orkin, S.H.4
Feng, G.5
Lin, S.6
-
32
-
-
84906713390
-
Critical limitations of consensus clustering in class discovery
-
25158761,.;:
-
Senbabaoglu Y, Michailidis G, Li JZ, Critical limitations of consensus clustering in class discovery. Sci Rep. 2014;4:6207. doi: 10.1038/srep0620725158761
-
(2014)
Sci Rep
, vol.4
, pp. 6207
-
-
Senbabaoglu, Y.1
Michailidis, G.2
Li, J.Z.3
-
33
-
-
84895069488
-
Quantitative single-cell RNA-seq with unique molecular identifiers
-
24363023,..;: –
-
Islam S, Zeisel A, Joost S, La Manno G, Zajac P, Kasper M, et al. Quantitative single-cell RNA-seq with unique molecular identifiers. Nature methods. 2014;11(2):163–166. doi: 10.1038/nmeth.277224363023
-
(2014)
Nature methods
, vol.11
, Issue.2
, pp. 163-166
-
-
Islam, S.1
Zeisel, A.2
Joost, S.3
La Manno, G.4
Zajac, P.5
Kasper, M.6
-
34
-
-
84893910301
-
Quantitative assessment of single-cell RNA-sequencing methods
-
24141493,..;: –
-
Wu AR, Neff NF, Kalisky T, Dalerba P, Treutlein B, Rothenberg ME, et al. Quantitative assessment of single-cell RNA-sequencing methods. Nature methods. 2014;11(1):41–46. doi: 10.1038/nmeth.269424141493
-
(2014)
Nature methods
, vol.11
, Issue.1
, pp. 41-46
-
-
Wu, A.R.1
Neff, N.F.2
Kalisky, T.3
Dalerba, P.4
Treutlein, B.5
Rothenberg, M.E.6
|