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GSE166402

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Robust single-cell discovery of RNA targets of RNA binding proteins and ribosomes [STAMP_new_eclip]

Organism: Homo sapiens
Platform: GPL20301
Samples: 8
Experiment Types:
Expression profiling by high throughput sequencing
Submitted: Feb 08 2021
Last Updated: Jan 24 2025
Status: Public on May 09 2021
Contact: Gene,,Yeo (UCSD)

Relations

SubSeries of: GSE155729 BioProject: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA700720 SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRP305416

Summary

RNA binding proteins (RBPs) are critical regulators of gene expression and RNA processing that are required for gene function. Yet, the dynamics of RBP regulation in single cells is unknown. To address this gap in understanding, we developed STAMP (Surveying Targets by APOBEC Mediated Profiling), which efficiently detects RBP RNA interactions. STAMP does not rely on UV crosslinking or immunoprecipitation and, when coupled with single cell capture, can identify RBP and cell type specific RNA protein interactions for multiple RBPs and cell types in single pooled experiments. Pairing STAMP with long read sequencing also yields RBP target sites for full length isoforms. Finally, conducting STAMP using small ribosomal subunits (RiboSTAMP) allows analysis of transcriptome wide ribosome association in single cells. STAMP enables the study of RBP RNA interactomes and translational landscapes with unprecedented cellular resolution.

Overall Design

Crosslinking and immunoprecipitation of APOBEC, SLBP, TIA1, and RBFOX2 bound RNA and sequencing from 2 technical replicates.

Analysis (18 steps)

View Data Processing
Processing steps for GSE166402
  1. Sequenced reads were reformatted to include randomers in read headers with umi_tools (1.0.0).
  2. Args: --random-seed 1 --bc-pattern NNNNNNNNNN
  3. Reads were then trimmed with cutadapt (1.14).
  4. Args: --match-read-wildcards -O 1 --times 1 -e 0.1 --quality-cutoff 6 -m 18 -a InvRNA*.fasta (fasta sequences can be found at: https://github.com/YeoLab/eclip/tree/master/example/inputs/)
  5. Reads were then trimmed once more with cutadapt (1.14) to remove double-ligation events.
  6. Args: --match-read-wildcards -O 5 --times 1 -e 0.1 --quality-cutoff 6 -m 18 -a InvRNA*.fasta (fasta sequences can be found at: https://github.com/YeoLab/eclip/tree/master/example/inputs/)
  7. Trimmed reads were then mapped with STAR (2.4.0i) against a human-specific repeat element database (RepBase 18.05).
  8. Args: --runThreadN 16 \ --genomeDir human_repbase \ --readFilesIn path/to/read1 \ --outFileNamePrefix out_prefix \ --outReadsUnmapped Fastx \ --outSAMtype BAM Unsorted \ --outSAMattributes All \ --outSAMunmapped Within \ --outSAMattrRGline ID:foo \ --outFilterType BySJout \ --outFilterMultimapNmax 30 \ --outFilterMultimapScoreRange 1 \ --outFilterScoreMin 10 \ --alignEndsType EndToEnd
Showing first 8 steps.

Supplementary Files (3)

GSE166402_PRBF_1.vs.PRBF_2.bed.gz Download
GSE166402_PTIA_1.vs.PTIA_2.bed.gz Download
GSE166402_RAW.tar Download
GEO Samples (8)

Dataset Citations (3)

Robust single-cell discovery of RNA targets of RNA-binding proteins and ribosomes.
PMID 33963355 · 2021 · Nature methods
Kristopher W Brannan, Isaac A Chaim, Ryan J Marina, Brian A Yee, Eric R Kofman, Daniel A Lorenz, Pratibha Jagannatha, Kevin D Dong, Assael A Madrigal, Jason G Underwood, Gene W Yeo
Long-read Ribo-STAMP simultaneously measures transcription and translation with isoform resolution.
PMID 38906680 · 2024 · Genome research
Pratibha Jagannatha, Alexandra T Tankka, Daniel A Lorenz, Tao Yu, Brian A Yee, Kristopher W Brannan, Cathy J Zhou, Jason G Underwood, Gene W Yeo

Linked Publications (2)

Data Files (8)

Accession File Name Stored Type Output Type Mapping Assembly Size Download
— NRBF_1_S3_L001_R1_001.fastq.gz RIP-Seq 567.9 MB link
— NRBF_2_S4_L001_R1_001.fastq.gz RIP-Seq 583.6 MB link
— NTIA_1_S1_L001_R1_001.fastq.gz RIP-Seq 636.0 MB link
— NTIA_2_S2_L001_R1_001.fastq.gz RIP-Seq 333.4 MB link
— PRBF_1_S9_L001_R1_001.fastq.gz RIP-Seq 1.0 GB link
— PRBF_2_S10_L001_R1_001.fastq.gz RIP-Seq 888.1 MB link
— PTIA_1_S7_L001_R1_001.fastq.gz RIP-Seq 597.6 MB link
— PTIA_2_S8_L001_R1_001.fastq.gz RIP-Seq 878.5 MB link