PROPER-seq (PROtein Protein intERaction sequencing)
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ABSTRACT:
PROVIDER: PRJNA633786 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:To reveal protein-protein interactions at transcriptomic scale by sequencing
2021-08-30 | GSE150818 | GEO
Project description:In order to investigate the influence of m6A on RNA secondary-structure and RNA-protein interactions, we performed protein-interaction profile sequencing (PIP-seq)
2018-11-09 | GSE108767 | GEO
Project description:RNA-binding proteins (RBPs) are intimately involved in all aspects of RNA processing and regulation and are linked to neurodegenerative diseases and cancer. Therefore, understanding the relationship between RBPs and their RNA targets is critical for a broader understanding of post-transcriptional regulation in normal and disease processes. The majority of approaches to study RNA-protein interactions focus on single RBPs, however there are many hundreds RBPs encoded in the human genome, and each cell type expresses a different catalog of these regulatory molecules, greatly limiting the ability of these single RBP approaches to capture the global landscape of RNA-protein interactions. We and others have developed approaches to globally catalog regions of mRNAs that are bound by proteins in an unbiased manner. Here we describe a detailed protocol for performing our RNase-mediated protein footprint sequencing approach, termed protein interaction profile sequencing (PIP-seq). In this protocol, RNA-protein interactions are stabilized by cross-linking, and un-bound regions are digested with RNases, leaving only the protein-bound regions intact. To control for RNase insensitive regions, proteins are first denatured and then RNP complexes are subject to RNase treatment. After high-throughput sequencing of remaining fragments, peak calling is performed to identify protein protected sites (PPSs). We describe the application of this protocol to a human embryonic kidney cell line and perform basic quality control, reproducibility and benchmarking analyses. Finally, we describe the landscape of protein-interactions in HEK293T cells, underscoring the value of this approach. Future applications of this method to study the dynamics of RNA-protein interactions in developmental processes will help to uncover the role of RBPs in post-transcriptional regulation. Protein interaction profile sequencing (PIP-seq) in HEK293T cells. Three replicates of formaldehyde cross-linked PIP-seq are described
2014-10-20 | E-GEOD-57881 | biostudies-arrayexpress
Project description:Recent advances in single-cell RNA sequencing (scRNA-seq) have allowed researchers to explore transcriptional function at a cellular level. In this study, we present scPPIN, a method for integrating single-cell RNA sequencing data with protein–protein interaction networks to detect active modules in cells of different transcriptional states. We achieve this by clustering RNA-sequencing data, identifying differentially expressed genes, constructing node-weighted protein–protein interaction networks, and finding the maximum-weight connected subgraphs with an exact Steiner-tree approach. As a case study, we investigate RNA-sequencing data from human liver spheroids but the techniques described here are applicable to other organisms and tissues. scPPIN allows us to expand the output of differential expressed genes analysis with information from protein interactions. We find that different transcriptional states have different subnetworks of the PPIN significantly enriched which represent biological pathways. In these pathways, scPPIN also identifies proteins that are not differentially expressed but of crucial biological function (e.g., as receptors) and therefore reveals biology beyond a standard differentially expressed gene analysis. Human primary hepatocytes from a mixture of 10 donors grown in a 3D spheroid, were purchased from InSphero AG (Switzerland) and maintained in the culture medial provided by the company. Single cell libraries were prepare with a 10X Genomics 3’ v2 kit and sequenced in an Illumina NextSeq 500. Sequencing data demultiplexing and alignment was carried out with CellRanger with default parameters.
2019-09-09 | GSE133948 | GEO
Project description:MYC-MIZ1 protein interaction in germinal center.
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Project description:APEX-seq Captures the Protein-RNA Interaction Patterns of DDX3X and DDX3Y
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Project description:The cohesin complex consists of multiple core subunits that play critical roles in mitosis and transcriptional regulation. The cohesin-associated protein Wapal plays a central role in offloading cohesin to facilitate sister chromatid separation, but its role in regulating mammalian gene expression is not understood. We used embryonic stem cells (ESCs) as a model given the well-defined transcriptional regulatory circuits established through master transcription factors and epigenetic pathways that regulate their ability to maintain a pluripotent state. RNAi-mediated depletion of Wapal causes a loss of pluripotency, phenocopying loss of core cohesin subunits. Using chromatin immunoprecipitation coupled with next-generation sequencing (ChIP-seq) we determine that Wapal occupies genomic sites distal to genes in combination with CTCF and core cohesin subunits such as Rad21. Interestingly, genomic sites occupied by Wapal appear enriched for cohesin, implying Wapal does not offload cohesin at regions it occupies. Wapal depletion induces derepression of Polycomb Group (PcG) target genes without altering total levels of Polycomb-mediated histone modifications, implying that PcG enzymatic activity is preserved. By integrating ChIP-seq and gene expression changes data we identify that Wapal binding is enriched at the promoters of PcG silenced genes and is required for proper Polycomb Repressive Complex 2 (PRC2) recruitment. Lastly, we demonstrate that Wapal is required for the interaction of a distal cis-regulatory element (CRE) with the c-Fos promoter. Collectively, this work indicates that Wapal plays a critical role in silencing of PcG target genes through the interaction of distal CREs with promoters.
2016-03-21 | GSE78826 | GEO
Project description:RNAs are continuously associated with RNA-binding proteins (RBPs), and these interactions are necessary for many key cellular processes ranging from splicing to chromatin regulation. Although numerous approaches have been developed to map RNA-binding sites of individual RBPs, few methods exist that allow assessment of global RBP-RNA interactions. Here, we describe a universal, high-throughput, ribonuclease-mediated protein footprint sequencing approach that reveals RNA-protein interaction sites throughout a transcriptome of interest. We apply this method to the HeLa transcriptome and compare RBP binding sites found using different cross-linkers and ribonucleases. From this analysis, we identify numerous putative RBP binding motifs, reveal novel insights into co-binding by RBPs, and uncover a significant enrichment for disease-associated polymorphisms within RBP interaction sites. Protein interaction profile sequencing (PIP-seq) in HeLa cells. Two crosslinkers (formaldehyde and UV) with two RNases (dsRNase and ssRNase) each, as well as a no-crosslink sample. Performed with and without proteins. Three replicates for formaldehyde, two replicates for UV, single replicate for no crosslinker.
2013-11-06 | E-GEOD-49309 | biostudies-arrayexpress
Project description:Functional module detection through integration of single-cell RNA sequencing data with protein–protein interaction networks
| PRJNA553196 | ENA
Project description:RAB protein controls Argonaute localization for proper miRNA function in C. elegans
| PRJNA594456 | ENA