A global identification of PUM1 and PUM2 mRNA targets and their protein cofactors in human seminoma TCam-2 cells
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE123016 | GEO | 2018/11/28
REPOSITORIES: GEO
Similar Datasets
Project description:This SuperSeries is composed of the following subset Series: GSE12351: mRNAs associated with human PUM1 protein GSE12352: mRNAs associated with human PUM2 protein Refer to individual Series
2008-09-08 | E-GEOD-12357 | biostudies-arrayexpress
Project description:In order to identify the protein co-factors of PUMILIO1 and PUMILIO2 in TCam-2 cell line, co-IP of these proteins performed followed mass spectrometry analysis for protein identification. Six biological replicates of co-IP with anti-PUM1, anti-PUM2 antibodies and anti-IgG were performed. Three biological replicates were performed without RNase A treatment, and another three biological replicates of co-IPs with 100 mg/ml RNase A.
2020-04-23 | PXD011948 | Pride
Project description:A global identification of PUM1 and PUM2 mRNA targets and their protein cofactors in human seminoma TCam-2 cells
| PRJNA507255 | ENA
Project description:The human members of the PUF family of proteins, PUM1 and PUM2, are RNA-binding proteins that post-transcriptionally regulate gene expression through binding to a PUM recognition element (PRE) in the 3′ UTR of target mRNAs, promoting RNA decay. Recent RNA-seq experiments in PUM1/2 knockdown conditions have identified hundreds of known and new human PUM targets through measurement of changes in steady state RNA levels. However, steady-state RNA levels do not allow for measurement of changes in RNA stability between conditions and do not allow for the differentiation between the contributions of changes in transcription rates and changes in RNA decay. Here, we identify hundreds of human PUM1/2 targets that have changes in RNA stability following PUM1/2 knockdown. We separate the contributions of changes in transcription rate and RNA stability and find that human PUM proteins almost exclusively modulate RNA abundance through changing RNA stability and not transcription. In addition, we find that the sequence preferences for all possible 8mers are largely similar between PUM1 and PUM2, suggesting that PUM1 and PUM2 recognize similar targets. We identify an ideal PRE “rulebook” by determining key contextual features around PREs, including local AU content, location of a PRE within a 3′ UTR, clustering of PREs, and number of miRNA sites near a PRE, that help differentiate functional PREs from non-functional ones as measured by our decay dataset. Consistent with previously identified functional roles of mammalian PUMs, we find that human PUM1 and PUM2 modulate the decay of genes related to signaling cascades and neuronal function. Finally, we train machine learning models to predict functional regulation of RNA targets by the human PUM proteins and find that contextual features around PREs contribute meaningful information to our models.
2020-08-05 | GSE145237 | GEO
Project description:We report that knockdown of Pum2 results in an increase of PBE containing mRNAs in axons, without changing mRNA levels in the cell bodies.
2019-07-30 | GSE135073 | GEO
Project description:We used RNA-seq to measure transcript levels in human cells with the PUM1 and PUM2 proteins knocked down; by analyzing the differences in transcript abundances between those conditions, we were able to identify 927 targets showing significant changes in the presence of the PUM knockdown.
2017-10-25 | GSE95412 | GEO
Project description:To identify mRNAs associated with human PUM1 protein, we used a modified Ribonucleoprotein-ImmunoPrecipitation Microarray (RIP-Chip) approach on HeLa S3 cancer cells that express PUM1. PUM ribonucleoprotein (RNP) complexes were captured from cell-free extracts with anti PUM1 specific antibody Bethyl Laboratories, #300-201A coupled to protein G (PUM1) sepharose beads, and then eluted with SDS-EDTA. To control for non-specifically enriched RNAs, the same procedure was performed with beads that were not coupled with immunoprecipitating antibody (mock samples). Total RNA was isolated from cell extracts and immunopurified samples with the mirVanaTM PARISTM kit (Ambion). RNA was quantified with a NanoDrop device (Witeg AG). Poly-adenylated RNAs were amplified in the presence of aminoallyl-UTP with Amino Allyl MessageAmp II aRNA kit (Ambion). For this purpose, 500 ng total RNA from extracts and half (50-100 ng) of the immunopurified RNAs were used for amplification. 8 ug of the amplified RNAs (aaRNA) were fluorescently labeled with NHS-monoester Cy3 and Cy5 dyes (GE HealthSciences), except for mock RNA samples, where an aaRNA amount proportional to the yield obtained from corresponding PUM affinity isolates was used. For PUM1 RIPs, we performed three biological replicates with technical (dye swap) replicates (total six arrays).(~40 ug aaRNA from PUM1 RIPs, ~9 ug aaRNA from mock RIPs). The Cy3- and Cy5-labeled aaRNA samples were mixed and hybridized to human cDNA microarrays.Detailed methods for microarray experiments are available at http://cmgm.stanford.edu/pbrown/protocols/index.html. cDNA microarrays were produced by the Stanford Functional Genomic Facility and contained 43,197 human probes representing 26,524 Unigene cluster IDs (12,466 ENSEMBL annotated genes) spotted on Corning Ultra GAPS slides. Spotted cDNAs were cross-linked with 65 mJ of UV irradiation on slides, which were then post-processed for 1 hour at 42°C in pre-hybridization solution (5x SSC, 0.1% SDS, 0.1 mg/ml BSA), washed twice in 400 ml of 0.1x SSC for 5 min, dunked in 400 ml ultrapure water for 30 sec, and dried by centrifugation at 550 rpm for 5 min. Slides were used the same day. Cy3- and Cy5-labeled aaRNA probes were mixed and applied to arrays in hybridization solution (3x SSC, 20 ug poly(A) RNA [Invitrogen], 20 ug yeast tRNA [Invitrogen], 20 ug Human Cot-1 DNA [Invitrogen], 20 mM HEPES [pH 7.0] and 0.3% SDS) for 18 h at 65°C. The arrays were then washed sequentially in 400 ml of 2x SSC with 0.1% SDS, 1x SSC, and 0.2x SSC. The first wash was performed for 5 min at 65°C, the subsequent washes were performed for 5 min at RT. The arrays were dried by centrifugation and immediately scanned with an AxonScanner 4200A (Molecular Devices). Data were collected using GENEPIX 5.1 (Molecular Devices). Arrays were normalized computationally by the Stanford Microarray Database (SMD). The data were filtered for signal over background of greater than 1.5 in the channel measuring aaRNA from extract, and only features that met these criteria in > 50% of the arrays were included for further analysis. Log2 median ratios were retrieved and exported into Microsoft Excel.To identify transcripts that were specifically enriched by association with PUM1, we performed two class Significance Analysis of Microarrays (SAM) on median centered arrays. A replicate experimental design type is where a series of replicates are performed to evaluate reproducibility or as a pilot study to determine the appropriate number of replicates for a subsequent experiments. Antibody used in IP: 20 ug goat anti-PUMILIO 1 Bethyl Laboratories, #300-201A Keywords: replicate_design Computed
2008-09-08 | E-GEOD-12351 | biostudies-arrayexpress
Project description:To identify mRNAs associated with human PUM2 protein, we used a modified Ribonucleoprotein-ImmunoPrecipitation Microarray (RIP-Chip) approach on HeLa S3 cancer cells that express PUM2. PUM ribonucleoprotein (RNP) complexes were captured from cell-free extracts with specific anti PUM2 antibody coupled to protein A sepharose beads, and then eluted with SDS-EDTA. To control for non-specifically enriched RNAs, the same procedure was performed with beads that were not coupled with immunoprecipitating antibodies (mock samples). Total RNA was isolated from cell extracts and immunopurified samples with the mirVanaTM PARISTM kit (Ambion). RNA was quantified with a NanoDrop device (Witeg AG). Poly-adenylated RNAs were amplified in the presence of aminoallyl-UTP with Amino Allyl MessageAmp II aRNA kit (Ambion). For this purpose, 500 ng total RNA from extracts and half (50-100 ng) of the immunopurified RNAs were used for amplification. 8 ug of the amplified RNAs (aaRNA) were fluorescently labeled with NHS-monoester Cy3 and Cy5 dyes (GE HealthSciences), except for mock RNA samples, where an aaRNA amount proportional to the yield obtained from corresponding PUM affinity isolates was used.For PUM2 RIPs, we performed four biological replicates but omitted the dye swaps due to the lower aaRNA obtained after amplification (~10 ug aaRNA from PUM2 RIPs, 9 ug aaRNA from mock RIPs). The Cy3- and Cy5-labeled aaRNA samples were mixed and hybridized to human cDNA microarrays. Detailed methods for microarray experiments are available at http://cmgm.stanford.edu/pbrown/protocols/index.html. cDNA microarrays were produced by the Stanford Functional Genomic Facility and contained 43,197 human probes representing 26,524 Unigene cluster IDs (12,466 ENSEMBL annotated genes) spotted on Corning Ultra GAPS slides. Spotted cDNAs were cross-linked with 65 mJ of UV irradiation on slides, which were then post-processed for 1 hour at 42°C in pre-hybridization solution (5x SSC, 0.1% SDS, 0.1 mg/ml BSA), washed twice in 400 ml of 0.1x SSC for 5 min, dunked in 400 ml ultrapure water for 30 sec, and dried by centrifugation at 550 rpm for 5 min. Slides were used the same day. Cy3- and Cy5-labeled aaRNA probes were mixed and applied to arrays in hybridization solution (3x SSC, 20 ug poly(A) RNA [Invitrogen], 20 ug yeast tRNA [Invitrogen], 20 ug Human Cot-1 DNA [Invitrogen], 20 mM HEPES [pH 7.0] and 0.3% SDS) for 18 h at 65°C. The arrays were then washed sequentially in 400 ml of 2x SSC with 0.1% SDS, 1x SSC, and 0.2x SSC. The first wash was performed for 5 min at 65°C, the subsequent washes were performed for 5 min at RT. The arrays were dried by centrifugation and immediately scanned with an AxonScanner 4200A (Molecular Devices). Data were collected using GENEPIX 5.1 (Molecular Devices). Arrays were normalized computationally by the Stanford Microarray Database (SMD). The data were filtered for signal over background of greater than 1.5 in the channel measuring aaRNA from extract, and only features that met these criteria in > 50% of the arrays were included for further analysis. Log2 median ratios were retrieved and exported into Microsoft Excel. To identify transcripts that were specifically enriched by association with PUM2, we performed two class Significance Analysis of Microarrays (SAM) on median centered arrays. A replicate experimental design type is where a series of replicates are performed to evaluate reproducibility or as a pilot study to determine the appropriate number of replicates for a subsequent experiments. Antibody used in IP: 50 ug rabbit anti-PUMILIO 2 (Bethyl Laboratories, #300-202A) Keywords: replicate_design Computed
2008-09-08 | E-GEOD-12352 | biostudies-arrayexpress
Project description: Not available
| S-EPMC7226987 | biostudies-literature
Project description:Pumilio paralogs, PUM1 and PUM2, are sequence-specific RNA-binding proteins that are essential for vertebrate development and neurological functions. PUM1&2 function to negatively regulate gene expression by accelerating degradation of specific mRNAs. Here, we determined the repression mechanism and impact of human PUM1&2 on the transcriptome. We identified subunits of the CCR4-NOT (CNOT) deadenylase complex required for stable interaction with PUM1&2 and to elicit CNOT-dependent repression. Isoform-level RNA sequencing revealed broad co-regulation of target mRNAs through the PUM-CNOT repression mechanism. Functional dissection of the domains of PUM1&2 identified a conserved N-terminal region that confers the predominant repressive activity via direct interaction with CNOT. In addition, we show that the DCP2 mRNA decapping enzyme has an important role in repression by PUM1&2 N-terminal regions. Our results support a molecular model of repression by human PUM1&2 via direct recruitment of CNOT deadenylation machinery in a decapping-dependent pathway.
2021-09-09 | GSE159510 | GEO