Survey of variation in human transcription factors reveals prevalent DNA binding changes.
about
Promiscuous DNA-binding of a mutant zinc finger protein corrupts the transcriptome and diminishes cell viabilityTaming Human Genetic Variability: Transcriptomic Meta-Analysis Guides the Experimental Design and Interpretation of iPSC-Based Disease Modeling.An efficient algorithm for improving structure-based prediction of transcription factor binding sitesiRegNet3D: three-dimensional integrated regulatory network for the genomic analysis of coding and non-coding disease mutations.Proteomic analysis of hair shafts from monozygotic twins: Expression profiles and genetically variant peptides.Proteome-Scale Human Interactomics.Epigenomic and transcriptional control of insulin resistance.Functional variomics and network perturbation: connecting genotype to phenotype in cancer.Transcription factor-DNA binding: beyond binding site motifs.Isoelectric point-based fractionation by HiRIEF coupled to LC-MS allows for in-depth quantitative analysis of the phosphoproteome.Sparse conserved under-methylated CpGs are associated with high-order chromatin structureTartrate-resistant acid phosphatase (TRAP/ACP5) promotes metastasis-related properties via TGFβ2/TβR and CD44 in MDA-MB-231 breast cancer cells.Systematic identification of regulatory variants associated with cancer risk.Identification of Human Lineage-Specific Transcriptional Coregulators Enabled by a Glossary of Binding Modules and Tunable Genomic Backgrounds.Sequence2Vec: A novel embedding approach for modeling transcription factor binding affinity landscape.Variant Interpretation: Functional Assays to the Rescue.Organizing combinatorial transcription factor recruitment at cis-regulatory modules.Base-resolution stratification of cancer mutations using functional variomics.Somatic Superenhancer Duplications and Hotspot Mutations Lead to Oncogenic Activation of the KLF5 Transcription Factor.Exploring Variation in Known Pharmacogenetic Variants and its Association with Drug Response in Different Mexican Populations.A unified approach for quantifying and interpreting DNA shape readout by transcription factors.New considerations for hiPSC-based models of neuropsychiatric disorders.Conservation of DNA and ligand binding properties of retinoid X receptor from the placozoan Trichoplax adhaerens to human.Network-based approaches that exploit inferred transcription factor activity to analyze the impact of genetic variation on gene expression.Direct measurement of pervasive weak repression by microRNAs and their role at the network level.Cellular network perturbations by disease-associated variants.DNA Motif Recognition Modeling from Protein Sequences
P2860
Q33554074-6E5B852A-B2F7-403C-84DF-0AC28B71103DQ33795908-2F1214B1-6589-4983-9A39-A6E7A38CDF78Q33913159-7341CE16-15D8-42D3-BE8D-CE1392D57651Q37591538-40FE7652-2A7C-4345-A079-CCD2A55ED3E4Q38763952-CE243B2F-70FD-4CD5-88C4-C4DC20125E52Q38913438-0A36D17B-DB8B-4E78-910F-6D6913088CB7Q38980163-8DE88FFB-9F69-4B73-9908-A4E3930568DEQ39201399-B5BD2473-EA19-44B2-9112-694CE4039671Q39209455-162548A0-B670-489C-8DD5-96AB7FCA8F95Q40971844-9A1C607B-191D-4B68-A558-9EDAFC8B971BQ41588474-6CB037E7-B049-4D85-B8AB-9407067CEC50Q41711662-BB4B4814-A49A-4A5D-8C6A-3A1337305256Q42653906-D1DD70EF-F783-40C8-8930-360C6EFC7969Q42693822-D34E32E3-3DB4-434E-A826-B3F27F31B0E1Q42696829-B6C891C2-6A5B-4B23-89C5-EC85628D9A7EQ45945774-132B7F88-0655-49AD-8F32-7202832F4E8AQ47438664-F9DD1E36-6CAA-4B3F-978E-5498C800272AQ47693396-AF08963A-49AC-49EC-8010-D44D38149A3CQ47723106-DFED2456-51AA-412D-A09F-A1C8D86F7248Q48170412-6BA6FA51-8796-4E77-A33E-94F6EFED6818Q50289802-1AC03EDE-9938-43BB-AD1A-120A3620521CQ52372478-A6E05834-9D16-4015-B45A-B17EEA7B26CCQ52671633-92B8A2D7-FDC9-4D90-A897-2C6F17220FE9Q54441061-B99BBA02-6FFF-4918-B6BC-32D38553FFD7Q55025456-C5F325DA-E33E-4813-AF43-D82D0BB11369Q55359441-0369B67E-49C5-4B95-8419-3B724AE18A78Q58753645-7B9012A5-D445-4A58-8FA9-9ED8D112E0E4
P2860
Survey of variation in human transcription factors reveals prevalent DNA binding changes.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Survey of variation in human transcription factors reveals prevalent DNA binding changes.
@ast
Survey of variation in human transcription factors reveals prevalent DNA binding changes.
@en
type
label
Survey of variation in human transcription factors reveals prevalent DNA binding changes.
@ast
Survey of variation in human transcription factors reveals prevalent DNA binding changes.
@en
prefLabel
Survey of variation in human transcription factors reveals prevalent DNA binding changes.
@ast
Survey of variation in human transcription factors reveals prevalent DNA binding changes.
@en
P2093
P2860
P50
P356
P1433
P1476
Survey of variation in human transcription factors reveals prevalent DNA binding changes.
@en
P2093
Anastasia Vedenko
David E Hill
Elizabeth J Rossin
Jaie Woodard
Jesse V Kurland
Kian Hong Kock
Leila Shokri
Luca Mariani
Luis A Barrera
Manolis Kellis
P2860
P304
P356
10.1126/SCIENCE.AAD2257
P407
P577
2016-03-24T00:00:00Z