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

GSE248461 Homo sapiens (human) RNA-seq (gene expression) 14 samples Submitted 2024/06/13 Platform GPL30173
At a glance

RNA-seq (gene expression) · human · 14 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
14 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
High-sensitivity in situ capture of endogenous RNA-protein interactions in fixed cells and primary tissuesNature communications · 2024
Summary (written by the submitters)
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.
Read the full summary ↓
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.
Published in
High-sensitivity in situ capture of endogenous RNA-protein interactions in fixed cells and primary tissues
Liang Q, Yu T, Kofman E et al. · Nature communications 2024 · PMID 39152130 · doi:10.1038/s41467-024-50363-4
This dataset
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE248461_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1044067 and SRA study SRP473696. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 14 more — browse all 14 samples with per-sample file links →

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