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Series GSE83894 Query DataSets for GSE83894
Status Public on Oct 01, 2016
Title A systematic comparison reveals substantial differences in chromosomal versus episomal encoding of enhancer activity
Organism Homo sapiens
Experiment type Other
Summary The magnitude and determinants of differences in cis-regulation for regulatory sequences residing in episomes versus chromosomes remain almost completely unknown. To address this question in a systematic manner, we developed and applied a novel lentivirus-based massively parallel reporter assay (lentiMPRA) to directly compare the functional activities of 2,236 candidate liver enhancers in an episomal versus a chromosomally integrated context. We find that the activities of chromosomally integrated sequences are substantially different from the activities of the identical sequences assayed on episomes, and furthermore are correlated with different subsets of ENCODE annotations. The results of chromosomally-based reporter assays are also more reproducible and more strongly predictable by both ENCODE annotations and sequence-based models. With a linear model that combines chromatin annotations and sequence information, we achieve a Pearson's R2 of 0.347 for predicting the results of chromosomally integrated reporter assays. This is substantially better than with either chromatin annotations or sequence information alone and also outperforms predictive models of episomal assays. Our results have broad implications for how cis-regulatory elements are identified, prioritized and functionally validated.
 
Overall design We developed and applied a novel lentivirus-based massively parallel reporter assay (lentiMPRA) to directly compare the functional activities of 2,236 candidate liver enhancers and 204 controls in an episomal versus a chromosomally integrated context. By using integration-competent vs. integration-defective components of the lentiviral system, we directly compared the functional activities of 2,236 candidate liver enhancers in a chromosomally integrated versus an episomal context in the human liver hepatocellular carcinoma cell line, HepG2.
 
Contributor(s) Shendure J, Ahituv N
Citation(s) 27831498
NIH grant(s)
Grant ID Grant title Affiliation Name
R01 CA197139 Integrative interpretation of the organismal consequences of non-coding variation UNIVERSITY OF WASHINGTON Shendure
R01 HG006768 Massively parallel, in vivo functional testing of regulatory elements UNIVERSITY OF WASHINGTON Shendure
R01 MH109907 Massively parallel dissection of psychiatric regulatory networks J. DAVID GLADSTONE INSTITUTES Ahituv
Submission date Jun 30, 2016
Last update date May 15, 2019
Contact name Jay Shendure
Organization name University of Washington
Department Genome Sciences
Lab Shendure
Street address 3720 15th Ave NE
City Seattle
State/province WA
ZIP/Postal code 98195-5065
Country USA
 
Platforms (2)
GPL15520 Illumina MiSeq (Homo sapiens)
GPL18573 Illumina NextSeq 500 (Homo sapiens)
Samples (13)
GSM2221107 Mutant_integrase_HepG2_DNA_rep1
GSM2221108 Mutant_integrase_HepG2_RNA_rep1
GSM2221109 Mutant_integrase_HepG2_DNA_rep2
Relations
BioProject PRJNA327312
SRA SRP077617

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE83894_ActivityRatios.tsv.gz 1.5 Mb (ftp)(http) TSV
GSE83894_ColumnDescriptionsActivityRatios.tsv.gz 5.2 Kb (ftp)(http) TSV
GSE83894_RAW.tar 50.6 Mb (http)(custom) TAR (of TSV)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file
Processed data are available on Series record

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