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Series GSE76136 Query DataSets for GSE76136
Status Public on May 11, 2016
Title The genomic landscape of PUF binding in stem cells
Organism Caenorhabditis elegans
Experiment type Other
Summary We determined the genomic landscape of FBF-1 and FBF-2 binding in germline stem cells using iCLIP, a method that allows identification of protein-RNA interactions at high resolution. We first developed reagents to explore the genomic binding landscapes of full-length FBF-1 and FBF-2 in vivo and then used our iCLIP data to test the precision of several commonly used methods for CLIP peak calling. Based on this iCLIP data, we discovered that FBF-1 and FBF-2 have similar global protein-RNA interaction profiles and that they both target conserved cell cycle regulators and lincRNAs. We found that FBF-1 and FBF-2 regulate their targets through canonical as well as unexpected motif sequences. We elucidated the first in vivo crosslink site analysis for a PUF protein from which we precisely determined FBF-1 and FBF-2 binding sites. Taken together, our data provide an updated model of PUF binding in stem cells. Our study also provides new insight on the control of gene expression in stem cells by RNA binding proteins.
 
Overall design iCLIP was performed on FLAG-tagged FBF-1 and FBF-2 integrated as a single copy into the C. elegans genome. Wild type worms (N2) went through identical protocols as a negative control.
 
Contributor(s) Prasad A, Porter DF, Wickens M, Kimble J
Citation(s) 27165521
Submission date Dec 18, 2015
Last update date May 15, 2019
Contact name Douglas Porter
Organization name Stanford
Department Dermatology
Lab Khavari
Street address 269 Campus Drive
City Stanford
State/province CA
ZIP/Postal code 94305
Country USA
 
Platforms (1)
GPL13657 Illumina HiSeq 2000 (Caenorhabditis elegans)
Samples (12)
GSM1974921 FBF-1 CLIP-seq 1
GSM1974922 FBF-1 CLIP-seq 2
GSM1974923 FBF-1 CLIP-seq 3
Relations
BioProject PRJNA306416
SRA SRP067551

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

Supplementary file Size Download File type/resource
GSE76136_read_counts_per_gene.txt.gz 309.5 Kb (ftp)(http) TXT
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Processed data are available on Series record
Raw data are available in SRA

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