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GSE248461

GSE GEO
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An in situ method for identification of transcriptome-wide protein-RNA interactions in cells [in_situ_STAMP II]

Organism: Homo sapiens
Platform: GPL30173
Samples: 14
Experiment Types:
Expression profiling by high throughput sequencing
Submitted: Nov 22 2023
Last Updated: Sep 27 2024
Status: Public on Jun 13 2024
Contact: Brian,,Yee (UCSD)

Relations

SubSeries of: GSE240326 BioProject: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA1044067

Summary

RNA-binding proteins (RBPs) play important roles in RNA metabolism including splicing, stability, localization, and translation. RBP-RNA interaction profiles are indicative of many diseases. Existing methods for mapping RBP-RNA interactions transcriptome-wide have notable limitations: immunoprecipitation (IP)-based technologies require large quantities of input materials, and RNA shearing during processing prevents identification of RNA isoforms. Meanwhile, profiling methods using RNA-modifying enzymes require ectopic expression of fusion proteins in cells of interest, potentially distorting interaction profiles. Here we report in situ STAMP, an RBP-RNA profiling method that overcomes the limitations of existing methods. In situ STAMP utilizes a chimeric fusion of the cytosine deaminase APOBEC1 and an IgG-targeting single-domain antibody (nanobody). We demonstrate that this fusion protein can be specifically targeted to proteins of interest including the RBPs RBFOX2 and TDP-43 when combined with primary antibodies targeting these proteins, enabling identification of their binding sites in un-engineered HEK293T cells. The canonical binding motifs of both RBFOX2 (UGCAUG) and TDP43 (UGUGUG) could be identified by de novo motif analysis from in situ STAMP data, demonstrating the method’s high specificity. In situ STAMP preserves intact RNAs and is therefore compatible with direct cDNA PacBio long-read sequencing, enabling the method to distinguish between RNA isoforms. Importantly, in situ STAMP is compatible with multiple fixation methods including methanol and formaldehyde fixation, enabling its application to tissue samples collected in research or clinical settings. Thus, in situ STAMP enables the profiling of authentic RBP-RNA interactions using small quantities of primary cells or tissues, thereby bridging a critical gap in uncovering the roles of RBPs in RNA-related disease mechanisms in authentic biological contexts.

Overall Design

in situ STAMP (C-to-U RNA editing) in fixed cells

Analysis (6 steps)

View Data Processing
Processing steps for GSE248461
  1. remove adapter with Cutadapt
  2. align to hg38 using STAR 2.4.0 (Homo sapiens)
  3. SAILOR analysis to call C-to-U edits and keep only sites with score >0.5 and edit fraction <80%
  4. FLARE analysis to call C-to-U edit clusters
  5. Intersect the edit clusters from 3 replicates, which yields "*confident_peaks.bed"
  6. Subtract STAMP confident clusters to Buffer only control, which yields "*cleaned_confident_peaks.bed"

Supplementary Files (7)

GSE248461_100pg_Buffer_only_confident_peaks.bed.gz Download
GSE248461_100pg_RBFOX2_cleaned_confident_peaks.bed.gz Download
GSE248461_100pg_RBFOX2_confident_peaks.bed.gz Download
GSE248461_1ng_Buffer_only_confident_peaks.bed.gz Download
GSE248461_1ng_RBFOX2_cleaned_confident_peaks.bed.gz Download
GSE248461_1ng_RBFOX2_confident_peaks.bed.gz Download
GSE248461_RAW.tar Download
GEO Samples (14)

Dataset Citations (1)

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 (1)

Data Files (10)

Accession File Name Stored Type Output Type Mapping Assembly Size Download
— 100pg_34_S12_L001_R1_001.fastq.gz RNA-Seq 1.9 GB link
— 100pg_35_S13_L001_R1_001.fastq.gz RNA-Seq 1.8 GB link
— 100pg_36_S14_L001_R1_001.fastq.gz RNA-Seq 1.6 GB link
— 1ng_19_S1_L001_R1_001.fastq.gz RNA-Seq 1.8 GB link
— 1ng_20_S2_L001_R1_001.fastq.gz RNA-Seq 1.8 GB link
— 1ng_33_S4_L001_R1_001.fastq.gz RNA-Seq 2.0 GB link
— 1ng_34_S5_L001_R1_001.fastq.gz RNA-Seq 1.8 GB link
— 1ng_35_S6_L001_R1_001.fastq.gz RNA-Seq 2.0 GB link
— 1ng_36_S7_L001_R1_001.fastq.gz RNA-Seq 2.0 GB link
— SRR26918586.lite RNA-Seq 1.9 GB link