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GSE232513

GSE GEO
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Expanded repertoire of RNA-editing-based detection for RNA binding protein interactions (1)

Organism: Homo sapiens
Platform: GPL15520
Samples: 76
Experiment Types:
Other
Submitted: May 15 2023
Last Updated: Sep 27 2024
Status: Public on Feb 02 2024
Contact: Brian,,Yee (UCSD)

Relations

SubSeries of: GSE232520 BioProject: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA972636

Summary

RNA binding proteins (RBPs) are key regulators of RNA processing and cellular function. Technologies to discover RNA targets of RBPs such as TRIBE (targets of RNA binding proteins identified by editing) and STAMP (surveying targets by APOBEC1 mediated profiling) utilize fusions of RNA base-editors (rBEs) to RBPs to circumvent the limitations of immunoprecipitation (CLIP)-based methods that require enzymatic digestion and large amounts of input material. To expand the collection of rBEs suitable for editing-based RBP-RNA interactome studies, we developed experimental and computational assays to systematically evaluate the editing activities of over thirty A-to-I and C-to-U rBEs in human cells. We identify rBEs that outperform Drosophila ADAR (TRIBE) and mammalian APOBEC1 (STAMP) in the characterization of the binding patterns of sequence-specific and broad-binding RBPs and recommend rBEs that pair effectively in dual-RBP-based applications. We demonstrate that the optimal choice of single or multiple rBEs to fuse to a given or pair of RBPs depends on the editing biases of the rBEs and the binding preferences of the RBPs. Our framework ENGRAVe (Editing nucleotides with general RNA-base-editor variants) reframes the use of and expands the choice of rBEs for the next generation of RBP-RNA target discoveries.

Overall Design

A variety of RBP-rBE fusions were first expressed together with a reporter mRNA to assess the corresponding editing profiles.

Analysis (3 steps)

View Data Processing
Processing steps for GSE232513
  1. remove adapter with Cutadapt
  2. align to genome using bowtie2 or bwa-mem
  3. generate count tables along reporter sequence using Pysamstats

Supplementary Files (3)

GSE232513_12X_MS2_stem-loop_reporter_mRNA.fa.gz Download
GSE232513_12X_MS2_stem-loop_reporter_mRNA_features.txt.gz Download
GSE232513_RAW.tar Download
GEO Samples (76)

Dataset Citations (2)

Expanded palette of RNA base editors for comprehensive RBP-RNA interactome studies.
PMID 38287010 · 2024 · Nature communications
Hugo C Medina-Munoz, Eric Kofman, Pratibha Jagannatha, Evan A Boyle, Tao Yu, Krysten L Jones, Jasmine R Mueller, Grace D Lykins, Andrew T Doudna, Samuel S Park, Steven M Blue, Brodie L Ranzau, Rahul M Kohli, Alexis C Komor, Gene W Yeo
High-sensitivity in situ capture of endogenous RNA-protein interactions in fixed cells and primary tissues.
PMID 39152130 · 2024 · Nature communications
Qishan Liang, Tao Yu, Eric Kofman, Pratibha Jagannatha, Kevin Rhine, Brian A Yee, Kevin D Corbett, Gene W Yeo

Linked Publications (2)

Data Files (10)

Accession File Name Stored Type Output Type Mapping Assembly Size Download
— D10_S18_L001_R1_001.fastq.gz RNA-Seq 273.6 MB link
— D11_S19_L001_R1_001.fastq.gz RNA-Seq 124.6 MB link
— D12_S20_L001_R1_001.fastq.gz RNA-Seq 406.1 MB link
— D2_S12_L001_R1_001.fastq.gz RNA-Seq 270.0 MB link
— D3_S13_L001_R1_001.fastq.gz RNA-Seq 243.5 MB link
— D4_S14_L001_R1_001.fastq.gz RNA-Seq 314.6 MB link
— D5_S15_L001_R1_001.fastq.gz RNA-Seq 269.5 MB link
— D8_S16_L001_R1_001.fastq.gz RNA-Seq 280.6 MB link
— D9_S17_L001_R1_001.fastq.gz RNA-Seq 235.0 MB link
— H1_S21_L001_R1_001.fastq.gz RNA-Seq 300.6 MB link