Quantitative genetic analysis in Saccharomyces cerevisiae using epistatic miniarray profiles (E-MAPs) and its application to chromatin functions.
about
Functional organization of the S. cerevisiae phosphorylation networkA UV-induced genetic network links the RSC complex to nucleotide excision repair and shows dose-dependent rewiring.A mitochondrial-focused genetic interaction map reveals a scaffold-like complex required for inner membrane organization in mitochondriaRegulators of yeast endocytosis identified by systematic quantitative analysis.Chaperone control of the activity and specificity of the histone H3 acetyltransferase Rtt109.An N-terminal acidic region of Sgs1 interacts with Rpa70 and recruits Rad53 kinase to stalled forks.Dynamic reprogramming of transcription factors to and from the subtelomere.Identification of yeast proteins necessary for cell-surface function of a potassium channel.A plasma-membrane E-MAP reveals links of the eisosome with sphingolipid metabolism and endosomal traffickingDissection of DNA damage responses using multiconditional genetic interaction mapsFunctional maps of protein complexes from quantitative genetic interaction data.Genome-wide association data reveal a global map of genetic interactions among protein complexesChemical genetics of rapamycin-insensitive TORC2 in S. cerevisiae.On the classification of epistatic interactions.Epistasis in a model of molecular signal transduction.A role for eisosomes in maintenance of plasma membrane phosphoinositide levels.A systematic approach to pair secretory cargo receptors with their cargo suggests a mechanism for cargo selection by Erv14.Evolutionarily conserved genetic interactions with budding and fission yeast MutS identify orthologous relationships in mismatch repair-deficient cancer cells.Neighbor overlap is enriched in the yeast interaction network: analysis and implications.Individual lysine acetylations on the N terminus of Saccharomyces cerevisiae H2A.Z are highly but not differentially regulated.Rewiring of genetic networks in response to DNA damage.The small subunit processome in ribosome biogenesis—progress and prospects.Relationships of RNA polymerase II genetic interactors to transcription start site usage defects and growth in Saccharomyces cerevisiae.An "exacerbate-reverse" strategy in yeast identifies histone deacetylase inhibition as a correction for cholesterol and sphingolipid transport defects in human Niemann-Pick type C disease.Development of ultra-high-density screening tools for microbial "omics".Quantitative analysis of triple-mutant genetic interactionsRNA polymerase II carboxyl-terminal domain phosphorylation regulates protein stability of the Set2 methyltransferase and histone H3 di- and trimethylation at lysine 36CCR4/NOT complex associates with the proteasome and regulates histone methylationAssembling global maps of cellular function through integrative analysis of physical and genetic networks.iSeq: A New Double-Barcode Method for Detecting Dynamic Genetic Interactions in Yeast.DNA replication origin function is promoted by H3K4 di-methylation in Saccharomyces cerevisiaeSystematic identification and correction of annotation errors in the genetic interaction map of Saccharomyces cerevisiae.Systematic triple-mutant analysis uncovers functional connectivity between pathways involved in chromosome regulation.Key functional regions in the histone variant H2A.Z C-terminal docking domain.Epistatic relationships reveal the functional organization of yeast transcription factors.An rtt109-independent role for vps75 in transcription-associated nucleosome dynamics.Active Interaction Mapping Reveals the Hierarchical Organization of Autophagy.Regulation of recombination and genomic maintenance.A tool named Iris for versatile high-throughput phenotyping in microorganisms.Genome-wide protein-protein interaction screening by protein-fragment complementation assay (PCA) in living cells
P2860
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P2860
Quantitative genetic analysis in Saccharomyces cerevisiae using epistatic miniarray profiles (E-MAPs) and its application to chromatin functions.
description
2006 nî lūn-bûn
@nan
2006 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2006 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
name
Quantitative genetic analysis ...... cation to chromatin functions.
@ast
Quantitative genetic analysis ...... cation to chromatin functions.
@en
Quantitative genetic analysis ...... g epistatic miniarray profiles
@nl
type
label
Quantitative genetic analysis ...... cation to chromatin functions.
@ast
Quantitative genetic analysis ...... cation to chromatin functions.
@en
Quantitative genetic analysis ...... g epistatic miniarray profiles
@nl
prefLabel
Quantitative genetic analysis ...... cation to chromatin functions.
@ast
Quantitative genetic analysis ...... cation to chromatin functions.
@en
Quantitative genetic analysis ...... g epistatic miniarray profiles
@nl
P2093
P1433
P1476
Quantitative genetic analysis ...... cation to chromatin functions.
@en
P2093
Collins SR
Schuldiner M
Weissman JS
P304
P356
10.1016/J.YMETH.2006.07.034
P577
2006-12-01T00:00:00Z