* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Download Mapping the DNA Damage Response
Biology and consumer behaviour wikipedia , lookup
Epigenetics in learning and memory wikipedia , lookup
No-SCAR (Scarless Cas9 Assisted Recombineering) Genome Editing wikipedia , lookup
Minimal genome wikipedia , lookup
Oncogenomics wikipedia , lookup
Nucleic acid analogue wikipedia , lookup
Point mutation wikipedia , lookup
Gel electrophoresis of nucleic acids wikipedia , lookup
Genealogical DNA test wikipedia , lookup
Quantitative trait locus wikipedia , lookup
Transcription factor wikipedia , lookup
Gene expression profiling wikipedia , lookup
Designer baby wikipedia , lookup
Site-specific recombinase technology wikipedia , lookup
Molecular cloning wikipedia , lookup
Metagenomics wikipedia , lookup
United Kingdom National DNA Database wikipedia , lookup
Epigenetics of human development wikipedia , lookup
Cre-Lox recombination wikipedia , lookup
Cancer epigenetics wikipedia , lookup
Cell-free fetal DNA wikipedia , lookup
Vectors in gene therapy wikipedia , lookup
Nutriepigenomics wikipedia , lookup
Nucleic acid double helix wikipedia , lookup
Bisulfite sequencing wikipedia , lookup
Metabolic network modelling wikipedia , lookup
DNA supercoil wikipedia , lookup
Microevolution wikipedia , lookup
DNA vaccination wikipedia , lookup
Epigenomics wikipedia , lookup
Extrachromosomal DNA wikipedia , lookup
Deoxyribozyme wikipedia , lookup
Helitron (biology) wikipedia , lookup
DNA damage theory of aging wikipedia , lookup
Primary transcript wikipedia , lookup
Artificial gene synthesis wikipedia , lookup
Non-coding DNA wikipedia , lookup
Mapping the DNA Damage Response Case study reveals transcription factor (TF) modules, dynamic TF binding and an expanded role for cell cycle regulators Overview • Experimental factors and selection – Multiple criteria used • ChIP-on-chip – Differential binding analysis • Gene expression of TF-deletion mutants – Clustering analysis – Deletion-buffering analysis • Data integration and pathway reconstruction Overview of the approach Overview of the approach Overview of the approach Transcription factors that regulate DNA damage response Activated regulatory network Transcription factors that regulate DNA damage response Activated regulatory network TF knockout “Deletion-buffered” Growth phenotype in MMS: mutants that display relative growth inhibition Truncated Product Method (TPM): determine condition dependent binding ChIP-chip of 30 TFs before and after DNA damage YPD MMS +/-MMS TPM ChIP-chip Data Summary TFs may regulate different genes (bind different promoters) under different conditions. Workman CT, Mak HC, McCuine S, Tagne JB, Agarwal M, Ozier O, Begley TJ, Samson LD, Ideker T. A systems approach to mapping DNA damage response pathways. Science. 2006 May 19;312(5776):1054-9. Promoter regions analysis ChIP-chip and DNA-Motif TF-Knockout expression profiles: (look much like wild-type) Environmental “epistasis analysis”: (deletion-buffering) Deletion-buffering analysis Bayesian Score Deletion-buffering examples RNR Genes are repressed by Rfx1p Sensitive TFs are required for a greater number of damage responsive genes Integrated model (regulatory paths explaining buffered genes) Pathway reconstruction Pathway reconstruction Pathway reconstruction Integrated direct and indirect regulatory pathways (chIP-chip, prot-prot) that explain deletionbuffering relationships Workman CT, Mak HC, McCuine S, Tagne JB, Agarwal M, Ozier O, Begley TJ, Samson LD, Ideker T. A systems approach to mapping DNA damage response pathways. Science. 2006 May 19;312(5776):1054-9. Summary • “Sensitive” TFs control more of the DNA damage response than non-sensitive TFs • Regulatory networks are highly interconnected • Transcriptional regulation of important DNA damage checkpoint kinases are observed • Measuring differential TF-binding is difficult