about
Whi5 phosphorylation embedded in the G1/S network dynamically controls critical cell size and cell fate.Adaptation to different types of stress converge on mitochondrial metabolismMetabolic Adaptation to Nutrients Involves Coregulation of Gene Expression by the RNA Helicase Dbp2 and the Cyc8 Corepressor in Saccharomyces cerevisiae.Model-Based Analysis of Cell Cycle Responses to Dynamically Changing EnvironmentsSlow-growing cells within isogenic populations have increased RNA polymerase error rates and DNA damageRibosome quality control is a central protection mechanism for yeast exposed to deoxynivalenol and trichothecin.Systematic Analysis of Transcriptional and Post-transcriptional Regulation of Metabolism in YeastNoise in gene expression is coupled to growth rate.Translational Capacity of a Cell Is Determined during Transcription Elongation via the Ccr4-Not Complex.Transcriptomic signatures shaped by cell proportions shed light on comparative developmental biology.Osmostress-induced gene expression--a model to understand how stress-activated protein kinases (SAPKs) regulate transcriptionReconstructing and analysing cellular states, space and time from gene expression profiles of many cells and single cells.Effects of aneuploidy on gene expression: implications for cancer.The Transcriptome of the Zebrafish Embryo After Chemical Exposure: A Meta-Analysis.The importance of controlling mRNA turnover during cell proliferation.The molecular basis of metabolic cycles and their relationship to circadian rhythms.Differential genetic interactions of yeast stress response MAPK pathways.The cellular growth rate controls overall mRNA turnover, and modulates either transcription or degradation rates of particular gene regulons.Network analyses based on comprehensive molecular interaction maps reveal robust control structures in yeast stress response pathways.Principles of cellular resource allocation revealed by condition-dependent proteome profiling.Growth rate controls mRNA turnover in steady and non-steady statesMetabolic pathways further increase the complexity of cell size control in budding yeast.Molecular mechanisms that distinguish TFIID housekeeping from regulatable SAGA promoters.Lysine acetylation controls local protein conformation by influencing proline isomerization.Single-cell RNA sequencing reveals intrinsic and extrinsic regulatory heterogeneity in yeast responding to stress.Coordination of Cell Cycle Progression and Mitotic Spindle Assembly Involves Histone H3 Lysine 4 Methylation by Set1/COMPASS.SAGA Is a General Cofactor for RNA Polymerase II Transcription.Multiple signaling kinases target Mrc1 to prevent genomic instability triggered by transcription-replication conflicts.Antisense transcription-dependent chromatin signature modulates sense transcript dynamics.In Silico Knockout Screening of Plasmodium falciparum Reactions and Prediction of Novel Essential Reactions by Analysing the Metabolic Network.
P2860
Q27319518-EDEEA8DD-8C51-46E6-BFDC-28019638A2B7Q28828409-2CFFD69F-EC0E-4FAF-984E-F04F8B5F7C86Q33877348-3ABF3F57-B2A1-4A9A-8ACF-D48CEFC1882AQ35887904-82951582-459D-4E14-A274-9A3963FD716DQ36018297-B675B0A4-4483-42FC-B2A1-259FEF87487CQ36035266-346D933F-4391-4304-A0BD-B27108E3BC0DQ36245407-90A74DD0-7DF1-4D23-BD67-B657D185B794Q36333715-A8315D93-E657-4F14-A015-D40EC7773F44Q36936319-7957367F-D976-44E8-BBBE-425EFF8D2E95Q37645400-D7B1D327-2CFA-48F7-BC5F-43C194850AC9Q38276110-DB6790EF-78FB-47AA-A391-21FFB357664CQ38566716-3A36C035-0050-4E47-AE09-137645F068A1Q38629879-B64CA612-4B5F-4160-AF44-DCA419B1C21AQ38741447-8906FF00-89E8-4A72-B5CF-E7ABBDE21A8AQ38786055-FAAE87A9-E6DB-404B-9E57-30709071A479Q39030566-F147B983-92F7-4542-9F56-D50BF5A8E2A5Q40366064-776C82A3-4FA3-4929-B409-AAA5900755F8Q41010826-6519A41E-77CB-4C39-9576-B4634F449F58Q41057947-63967882-2E42-4F20-B5DC-D25B880E7994Q41578142-57F4A1CF-0581-41FB-B068-009F90E12270Q41717254-DFB9CD4A-75BE-4BCB-B03E-F9FF676D1ACAQ42316621-620AA28F-4514-4E9E-8A38-CB1B36438285Q42325133-6E7E8F25-DF8D-42A8-9505-CB141B669C72Q42868563-C8C4F4D2-96A6-48D8-915A-4AE76B586467Q46514101-1D8134A3-7192-4096-88EF-DCF9D86AE889Q47149511-529BA1D3-3FC6-4657-BBB2-6DFCDFE5D5CCQ47790116-834AB5DC-4DC4-4EDE-AC76-E301F28FA8E4Q49340904-505D58B5-55C6-40ED-BA44-2677FE69162FQ49515118-52A7616B-6560-4DDD-BF2A-1297A7A14468Q54943244-C3BC00E1-B61D-4523-B827-BD101C1EECA7
P2860
description
2014 nî lūn-bûn
@nan
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
2014年论文
@zh
2014年论文
@zh-cn
name
Cell cycle population effects in perturbation studies
@en
Cell cycle population effects in perturbation studies
@nl
type
label
Cell cycle population effects in perturbation studies
@en
Cell cycle population effects in perturbation studies
@nl
prefLabel
Cell cycle population effects in perturbation studies
@en
Cell cycle population effects in perturbation studies
@nl
P2093
P2860
P50
P356
P1476
Cell cycle population effects in perturbation studies
@en
P2093
Dik van Leenen
Eoghan O'Duibhir
Frank C P Holstege
Joris J Benschop
Mariel O Brok
Thanasis Margaritis
P2860
P356
10.15252/MSB.20145172
P577
2014-06-21T00:00:00Z