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GSE109423

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A transcriptome-wide divergence in protein translation scales with LIN28B expression

Organism: Mus musculus
Platform: GPL20301
Samples: 30
Experiment Types:
Other Non-coding RNA profiling by high throughput sequencing
Submitted: Jan 19 2018
Last Updated: Jan 07 2022
Status: Public on Dec 13 2018
Contact: Gene,,Yeo (UCSD)

Relations

BioProject: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA430874 SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRP131042

Summary

We report the mapping of LIN28B binding to RNA in HEK293A at various LIN28B expression levels using enhanced CLIP. We provide small RNA sequencing data regarding miRNA expression in HEK293A and those miRNAs bound by AGO2. We also profile the effect of LIN28B expression on transcriptome-wide ribosome occupancy in HEK293A via RNA-seq. Finally, we provide orthogonal regulatory data by profiling the effect of LIN28B expression on transcriptome-wide ribosome occupancy in NIH3T3 via RNA-seq.

Overall Design

Examination of LIN28B binding using enhanced CLIP via 2 biological replicates of RNA fragments derived from LIN28B immunoprecipitation and 2 control input replicates for 5 LIN28B expression conditions. X0 is lin28b knockout. X1 through X4 are increasing levels of lin28b expression (X1 < X2 < X3 < X4). X1 through X4 lie within the naturally occurring spectrum of lin28b expression from other cell types such as HepG2, NTera2 and iPSC. Examination of small RNAs expressed in HEK293A and those specifically bound by AGO2, in the presence or absence of LIN28B or transfected let-7a miRNA, single replicate. Examination of changes in transcriptome-wide ribosome occupancy in HEK293A via total RNA (2 replicates) and ribosome-bound RNA (2 replicates) for 5 different LIN28B expression conditions. Experimental design for examining changes in transcriptome-wide ribosome occupancy in NIH3T3 were the same as for HEK293A.

Analysis (6 steps)

View Data Processing
Processing steps for GSE109423
  1. Library strategy: ribosome profiling
  2. Raw sequencing reads were trimmed for adapter sequences and barcode sequences (eCLIP samples) using cutadapt.
  3. Trimmed reads were mapped against RepBase to remove reads mapping to repetitive sequences.
  4. Remaining reads were mapped to the appropriate genome build using STAR aligner
  5. RPKM values were calculated for all polysome and rnaseq samples.
  6. For eCLIP samples, read densities were calculated to identify eCLIP peaks. eCLIP peaks were identified using clipper

Supplementary Files (4)

GSE109423_Polysomes_Let7_RPKM.csv.gz Download
GSE109423_human_polysome_samples_rpkms.txt.gz Download
GSE109423_human_small_rnaseq_counts.txt.gz Download
GSE109423_mouse_polysome_samples_rpkms.txt.gz Download
GEO Samples (30)

Dataset Citations (2)

Potentially Related Publications (1)

This accession was text-mined from the PMC full text of these publications. It may be referenced for comparison or reused from another study rather than generated for them.

Data Files (10)

Accession File Name Stored Type Output Type Mapping Assembly Size Download
— b8p100_smallrnaseq_hek293_ko_l7_total_S23_L002_R1_001.… ncRNA-Seq 457.6 MB link
— b8p100_smallrnaseq_hek293_ko_wt_total_S21_L002_R1_001.… ncRNA-Seq 563.8 MB link
— b8p100_smallrnaseq_hek293_x3_l7_total_S24_L002_R1_001.… ncRNA-Seq 509.1 MB link
— b8p100_smallrnaseq_hek293_x3_wt_total_S22_L002_R1_001.… ncRNA-Seq 617.8 MB link
— b8p37_a9_polysome_let7_S6_L003_R1_001.fastq.gz OTHER 274.7 MB link
— b8p100_smallrnaseq_hek293_ko_l7_ip_S27_L002_R1_001.fas… RIP-Seq 335.9 MB link
— b8p100_smallrnaseq_hek293_ko_wt_ip_S25_L002_R1_001.fas… RIP-Seq 304.6 MB link
— b8p100_smallrnaseq_hek293_x3_l7_ip_S28_L002_R1_001.fas… RIP-Seq 241.0 MB link
— b8p100_smallrnaseq_hek293_x3_wt_ip_S26_L002_R1_001.fas… RIP-Seq 341.6 MB link
— b8p37_a9_input_let7_S1_L003_R1_001.fastq.gz RNA-Seq 857.6 MB link