Large-scale genetic perturbations reveal regulatory networks and an abundance of gene-specific repressors.
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Methods for causal inference from gene perturbation experiments and validation.A conserved role of the RSC chromatin remodeler in the establishment of nucleosome-depleted regions.Metabolic Adaptation to Nutrients Involves Coregulation of Gene Expression by the RNA Helicase Dbp2 and the Cyc8 Corepressor in Saccharomyces cerevisiae.Models of human core transcriptional regulatory circuitries.Perturb-Seq: Dissecting Molecular Circuits with Scalable Single-Cell RNA Profiling of Pooled Genetic Screens.Model-driven mapping of transcriptional networks reveals the circuitry and dynamics of virulence regulation.Depletion of yeast PDK1 orthologs triggers a stress-like transcriptional response.Mapping Nucleosome Resolution Chromosome Folding in Yeast by Micro-CObesity-related known and candidate SNP markers can significantly change affinity of TATA-binding protein for human gene promoters.A high-resolution gene expression atlas of epistasis between gene-specific transcription factors exposes potential mechanisms for genetic interactions.Coordinated Evolution of Transcriptional and Post-Transcriptional Regulation for Mitochondrial Functions in Yeast StrainsSlow-growing cells within isogenic populations have increased RNA polymerase error rates and DNA damageCondition-specific genetic interaction maps reveal crosstalk between the cAMP/PKA and the HOG MAPK pathways in the activation of the general stress responseSystematic Analysis of Transcriptional and Post-transcriptional Regulation of Metabolism in YeastCandidate SNP markers of aggressiveness-related complications and comorbidities of genetic diseases are predicted by a significant change in the affinity of TATA-binding protein for human gene promoters.An Asymmetrically Balanced Organization of Kinases versus Phosphatases across Eukaryotes Determines Their Distinct ImpactsGrowth condition dependency is the major cause of non-responsiveness upon genetic perturbation.An Evaluation of Active Learning Causal Discovery Methods for Reverse-Engineering Local Causal Pathways of Gene RegulationA novel proposal of a simplified bacterial gene set and the neo-construction of a general minimized metabolic network.Transcriptional rewiring over evolutionary timescales changes quantitative and qualitative properties of gene expressionA gene-centered C. elegans protein-DNA interaction network provides a framework for functional predictions.Mitochondrial protein functions elucidated by multi-omic mass spectrometry profiling.Model-based transcriptome engineering promotes a fermentative transcriptional state in yeast.Natural variation in non-coding regions underlying phenotypic diversity in budding yeast.Crosstalk between transcription and metabolism: how much enzyme is enough for a cell?Create, activate, destroy, repeat: Cdk1 controls proliferation by limiting transcription factor activity.Parallel reverse genetic screening in mutant human cells using transcriptomicsPast Roadblocks and New Opportunities in Transcription Factor Network Mapping.The histone methyltransferases Set5 and Set1 have overlapping functions in gene silencing and telomere maintenance.Role of the ESCRT Complexes in Telomere BiologyTail and Kinase Modules Differently Regulate Core Mediator Recruitment and Function In Vivo.Transcription Factor Activity Mapping of a Tissue-Specific in vivo Gene Regulatory Network.Functional Metabolomics Describes the Yeast Biosynthetic Regulome.Principles of cellular resource allocation revealed by condition-dependent proteome profiling.The metabolic background is a global player in Saccharomyces gene expression epistasis.A prior-based integrative framework for functional transcriptional regulatory network inference.Molecular mechanisms that distinguish TFIID housekeeping from regulatable SAGA promoters.Population FBA predicts metabolic phenotypes in yeast.Cell cycle population effects in perturbation studiesNetProphet 2.0: Mapping Transcription Factor Networks by Exploiting Scalable Data Resources.
P2860
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P2860
Large-scale genetic perturbations reveal regulatory networks and an abundance of gene-specific repressors.
description
2014 nî lūn-bûn
@nan
2014年の論文
@ja
2014年学术文章
@wuu
2014年学术文章
@zh-cn
2014年学术文章
@zh-hans
2014年学术文章
@zh-my
2014年学术文章
@zh-sg
2014年學術文章
@yue
2014年學術文章
@zh
2014年學術文章
@zh-hant
name
Large-scale genetic perturbati ...... e of gene-specific repressors.
@en
Large-scale genetic perturbati ...... e of gene-specific repressors.
@nl
type
label
Large-scale genetic perturbati ...... e of gene-specific repressors.
@en
Large-scale genetic perturbati ...... e of gene-specific repressors.
@nl
prefLabel
Large-scale genetic perturbati ...... e of gene-specific repressors.
@en
Large-scale genetic perturbati ...... e of gene-specific repressors.
@nl
P2093
P50
P1433
P1476
Large-scale genetic perturbati ...... ce of gene-specific repressors
@en
P2093
Anthony J Miles
Cheuk W Ko
Diane Bouwmeester
Dik van Leenen
Eoghan O'Duibhir
Erik Sluiters
Eva Apweiler
Frank C P Holstege
Giannis Ampatziadis-Michailidis
Joris J Benschop
P304
P356
10.1016/J.CELL.2014.02.054
P407
P50
P577
2014-04-01T00:00:00Z