RIP-seq data for CCNT1
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE43170 | GEO | 2012/12/28
SECONDARY ACCESSION(S): PRJNA184836
REPOSITORIES: GEO
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Project description:To demonstrate RIPSeeker program that is developed for RIP-seq analyses, we generated RIP-seq data corresponding to the protein CCNT1 in HEK293 cell line using standard RIP-seq protocols described in Zhao et al., (2010). We performed two in-house RIP-seq experiments both for CCNT1 in human HEK293 cells. Briefly, we generated tagged CCNT1 using a triple tag system that supports lentiviral stable expression and mammalian affinity purification (MAPLE) Mak et al (2010). The HEK293 cells stably expressing tagged CCNT1 was purified by M2 agarose beads, followed by RNA extraction by Trizol. The library synthesis was carried out according to the RIP-seq protocol described in Zhao et al., (2010) except that one of the two experiments was done with non-strand-specific sequencing.
2012-12-28 | E-GEOD-43170 | biostudies-arrayexpress
Project description:This data was generated by ENCODE. If you have questions about the data, contact the submitting laboratory directly (Scott Tenenbaum mailto:STenenbaum@uamail.albany.edu). If you have questions about the Genome Browser track associated with this data, contact ENCODE (mailto:genome@soe.ucsc.edu). The RNA binding protein (RBP) associated mRNA sequencing track (RIP-Seq) is produced as part of the Encyclopedia of DNA Elements (ENCODE) Project (http://hgwdev.cse.ucsc.edu/ENCODE/index.html). This track displays transcriptional fragments associated with RBP in cell lines (http://hgwdev.cse.ucsc.edu/cgi-bin/hgEncodeVocab?type=cellType) K562 and GM12878, using Ribonomic profiling via Illumina SBS. In eukaryotic organisms gene regulatory networks require an additional level of coordination that links transcriptional and post-transcriptional processes. Messenger RNAs have traditionally been viewed as passive molecules in the pathway from transcription to translation. However, it is now clear that RNA-binding proteins play a major role in regulating multiple mRNAs in order to facilitate gene expression patterns. These tracks show the associated mRNAs that co-precipitate with the targeted RNA-binding proteins using RIP-Seq profiling. For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf RBP-mRNA complexes were purified from cells grown according to the approved ENCODE cell culture protocols (http://hgwdev.cse.ucsc.edu/ENCODE/protocols/cell). RNA samples were amplified and converted to cDNA with the Nugen (http://www.nugeninc.com/) Ovation© RNA-Seq System and prepped for sequencing with the Illumina (http://www.illumina.com/) mRNA-Seq protocol. Approximately 30 million single end sequencing reads were obtained for each K562 and GM12878. RIP samples were analyzed for signal that was at or above the 60th percentile and statistically enriched compared to the negative control. Sequences were analyzed using TopHat (http://tophat.cbcb.umd.edu/) (Trapnell et al., 2009) with Bowtie (http://bowtie-bio.sourceforge.net/index.shtml) (Langmead et al., 2009). Peaks were called from the top 40% of TopHat normalized reads, with a max gap, min run of (24:48). Unions of overlapping peak regions from total RNA replicates (RIP-Input) are presented with p-value from a one tailed t-test for average signal from replicates versus 0 (no cut-off was used for totals). Replicate overlap for positive RIP treatment peaks (ELAVL1 and PABPC1) are presented with a p-value from one tailed t-test versus signal for same the region in negative control replicates (T7-tag). RIP peaks were from sequences longer than 120 bp and p-value < .05. For both totals (RIP-input) and RIPs, the peak scores are scaled relative p-values between treatment and control.
2012-06-06 | E-GEOD-35585 | biostudies-arrayexpress
Project description:To identify the target mRNAs of the m6A reader protein YTHDF2 in mouse hippocampus, we carired out anti YTHDF2 RNA Immunoprecipitation (RIP) followed by RNA-sequencencing. Using EZ-Magna RIP™ RNA-Binding Protein Immunoprecipitation Kit (Millipore), RNA from P40 wild type mouse hippocampus was pulled down by rabbit polyclonal anti-YTHDF2 (proteintech) and then sequenced on Illumina Novaseq 6000. The filtered reads were aligned to the mouse reference genome (GRCm38) using BWA mem (v 0.7.12).Then the MACS2 (version 2.1.0) peak calling software was used to identify regions of IP enrichment over background, followed by the motif detected by Homer (Heinz et al., 2010). Peak related genes are then confirmed by PeakAnnotator. Different peak analysis was based on the fold enrichment of peaks of different experiments. A peak was determined as different peak when the odds ratio between two groups was more than 2. Using the same method, genes associated with different peaks were identified. Finally, Biological replicates of anti-YTHDF2 RIP-Seq identified 408 mRNAs transcripts. This study provides gene lists which shows mRNA binding with YTHDF2 in mouse hippocampus.
2023-01-19 | GSE171791 | GEO
Project description:We report the application of m6A-RIP-seq to indentify the m6A modifications variation in genes invovled in EMT. Briefly, total polyadenylated RNA was isolated from HeLa cells treated with or without 10 ng/ml TGF-β for 3 days by use of TRIZOL reagent followed the using of FastTrack MAGMaxi mRNA isolation kit (Invitrogen). RNA fragmentation, m6A-seq, and library preparation were performed according to instructions of manufacture and the previously published protocol (Wang et al., 2015). NEBNext Ultra Directional RNA Library Prep Kit (New England BioLabs, Ipswich, MA) was used for library preparation. Each experiment was conducted in two biological replicates. m6A-seq data were analyzed according to the protocols described before (Wang et al., 2015). Significant peaks with FDR < 0.05 were annotated to RefSeq database (hg19). Sequence motifs were identified by using Homer. Gene expression was calculated by Cufflinks using the sequencing reads from input samples. Cuffdiff was used to find the DE genes.
2019-03-25 | GSE112795 | GEO
Project description:This study explores whether HuD could bind to and regulate the expression circRNAs from genes associated with neuronal development and synaptic plasticity circRNAs bound to HuD were isolated from the striatum of HuD-OE mice by RNA immunoprecipitation (RIP) as described in Bolognani et al, 2010 (https://doi.org/10.1093/nar/gkp863) using Dynabeads® (Thermo Fisher Scientific) coated with mouse monoclonal anti-myc tag antibody (9B11; Cell Signalling Technology Inc.) specifically recognizing myc-tagged HuD transgenic protein expressed in HuD-OE as described before (Bolognani et al., 2010; Zimmerman et al., 2020). Controls for RIP assays were performed using either non-immune IgG and HuD-OE tissue or the myc-tag antibody and wild type (WT) tissue.
2020-06-28 | GSE153405 | GEO