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GSE232515

GSE GEO
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Expanded repertoire for RNA-editing-based detection for RNA binding protein interactions (3)

Organism: Homo sapiens
Platform: GPL24676
Samples: 24
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/PRJNA972645

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

rBEs were expressed in HEK293XT cells as fusions to RBFOX2 (RBFOX2-rBE) or without being fused to an RBP. The editing profiles with and without the RBP were examined.

Analysis (4 steps)

View Data Processing
Processing steps for GSE232515
  1. remove adapter with Cutadapt
  2. align to human genome using STAR 2.7.6a
  3. SAILOR analysis of data for C-to-U edits
  4. SAILOR analysis of data for A-to-I edits

Supplementary Files (27)

GSE232515_ai_APOBEC1_only.tsv.gz Download
GSE232515_ai_RBFOX2-APOBEC1.tsv.gz Download
GSE232515_ai_RBFOX2-FOX2-APOBEC1_cleaned.tsv.gz Download
GSE232515_ai_RBFOX2-RESCUE_ADAR2dd.tsv.gz Download
GSE232515_ai_RBFOX2-RESCUE_ADAR2dd_cleaned.tsv.gz Download
GSE232515_ai_RBFOX2-TadA-7.10_V82G_.tsv.gz Download
GSE232515_ai_RBFOX2-TadA-7.10_V82G_cleaned.tsv.gz Download
GSE232515_ai_RBFOX2-TadA-8e.tsv.gz Download
GSE232515_ai_RBFOX2-TadA-8e_cleaned.tsv.gz Download
GSE232515_ai_RBFOX2-TadA-8e_only.tsv.gz Download
GSE232515_ai_RESCUE_ADAR2dd_only.tsv.gz Download
GSE232515_ai_TadA-7.10_V82G_alone.tsv.gz Download
GSE232515_both_ai_and_cu_RBFOX2-RESCUE_ADAR2dd.tsv.gz Download
GSE232515_both_ai_and_cu_RBFOX2-RESCUE_ADAR2dd_cleaned.tsv.gz Download
GSE232515_both_ai_and_cu_RESCUE_ADAR2dd_alone.tsv.gz Download
GSE232515_cu_APOBEC1_only.tsv.gz Download
GSE232515_cu_FOX2-TadA-8e_cleaned.tsv.gz Download
GSE232515_cu_RBFOX2-APOBEC1.tsv.gz Download
GSE232515_cu_RBFOX2-APOBEC1_cleaned.tsv.gz Download
GSE232515_cu_RBFOX2-RESCUE_ADAR2dd.tsv.gz Download
GSE232515_cu_RBFOX2-RESCUE_ADAR2dd_cleaned.tsv.gz Download
GSE232515_cu_RBFOX2-TadA-7.10_V82G_.tsv.gz Download
GSE232515_cu_RBFOX2-TadA-7.10_V82G_cleaned.tsv.gz Download
GSE232515_cu_RBFOX2-TadA-8e.tsv.gz Download
GSE232515_cu_RESCUE_ADAR2dd_only.tsv.gz Download
GSE232515_cu_TadA-7.10_V82G_only.tsv.gz Download
GSE232515_cu_TadA-8e_alone.tsv.gz Download
GEO Samples (24)

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
— Hugo-E1_S31_L002_R1_001.fastq.gz RNA-Seq 432.5 MB link
— Hugo-E2_S79_L002_R1_001.fastq.gz RNA-Seq 623.7 MB link
— Hugo-E3_S80_L002_R1_001.fastq.gz RNA-Seq 571.2 MB link
— Hugo-E4_S32_L002_R1_001.fastq.gz RNA-Seq 550.4 MB link
— Hugo-E5_S81_L002_R1_001.fastq.gz RNA-Seq 480.7 MB link
— Hugo-E6_S82_L002_R1_001.fastq.gz RNA-Seq 515.3 MB link
— Hugo-E7_S33_L002_R1_001.fastq.gz RNA-Seq 456.3 MB link
— Hugo-E8_S83_L002_R1_001.fastq.gz RNA-Seq 474.5 MB link
— Hugo-F1_S84_L002_R1_001.fastq.gz RNA-Seq 504.2 MB link
— Hugo-F2_S34_L002_R1_001.fastq.gz RNA-Seq 498.8 MB link