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Status |
Public on Aug 24, 2016 |
Title |
Input Strategy for Improving Analysis of ChIP-exo Data and Beyond [RNA-Seq] |
Organism |
Homo sapiens |
Experiment type |
Expression profiling by high throughput sequencing Genome binding/occupancy profiling by high throughput sequencing
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Summary |
Several recently emerging ChIP-seq (chromatin immunoprecipitation followed by sequencing) based methods perform chemical steps on bead-bound immunoprecipitated chromatin, posing a challenge for generating similarly treated input controls required for bioinformatics and data quality analyses. Here we present a versatile method for producing technique-specific input controls for ChIP-based methods that utilize additional bead-bound processing steps. Application of this method allowed for discovery of a novel CTCF binding motif from ChIP-exo data.
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Overall design |
HeLa cells were transfected with either a scrambled siRNA or one of two CTCF siRNAs (Thermo Fisher Scientific ? Life technologies) using Lipofectamine RNAiMAX (Thermo Fisher Scientific - Life technologies) and incubated for 24 hr.
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Contributor(s) |
Terooatea TW, Buck-Koehntop BA |
Citation(s) |
27550178 |
Submission date |
Mar 24, 2016 |
Last update date |
May 15, 2019 |
Contact name |
Bethany Buck-Koehntop |
E-mail(s) |
koehntop@chem.utah.edu
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Organization name |
University of Utah
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Department |
Chemistry
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Street address |
315 S 1400 E, rm 2020
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City |
Salt Lake City |
State/province |
Utah |
ZIP/Postal code |
84112 |
Country |
USA |
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Platforms (1) |
GPL9052 |
Illumina Genome Analyzer (Homo sapiens) |
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Samples (9)
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This SubSeries is part of SuperSeries: |
GSE79565 |
Input Strategy for Improving Analysis of ChIP-exo Data and Beyond |
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Relations |
BioProject |
PRJNA316189 |
SRA |
SRP072272 |