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Skipper analysis of eCLIP datasets enables sensitive detection of constrained translation factor binding sites.

Evan A Boyle, Hsuan-Lin Her, Jasmine R Mueller, Jack T Naritomi, Grady G Nguyen, Gene W Yeo

Cell genomics · 2023 · Vol. 3 (6) · pp. 100317

Abstract

Technology for crosslinking and immunoprecipitation (CLIP) followed by sequencing (CLIP-seq) has identified the transcriptomic targets of hundreds of RNA-binding proteins in cells. To increase the power of existing and future CLIP-seq datasets, we introduce Skipper, an end-to-end workflow that converts unprocessed reads into annotated binding sites using an improved statistical framework. Compared with existing methods, Skipper on average calls 210%-320% more transcriptomic binding sites and sometimes >1,000% more sites, providing deeper insight into post-transcriptional gene regulation. Skipper also calls binding to annotated repetitive elements and identifies bound elements for 99% of enhanced CLIP experiments. We perform nine translation factor enhanced CLIPs and apply Skipper to learn determinants of translation factor occupancy, including transcript region, sequence, and subcellular localization. Furthermore, we observe depletion of genetic variation in occupied sites and nominate transcripts subject to selective constraint because of translation factor occupancy. Skipper offers fast, easy, customizable, and state-of-the-art analysis of CLIP-seq data.

Linked datasets 2

GSE224998 GSE · via ncbi_elink
GEO ↗

RPS19 binding with and without Diamond-Blackfan anemia variants

Homo sapiens

44 data files
FileTypeSize
RPS19-101m-2_S11_L001_R1_001.fastq.gz RIP-Seq 1.1 GB
RPS19-101m-2_S11_L002_R1_001.fastq.gz RIP-Seq 1.1 GB
RPS19-101m-3_S12_L001_R1_001.fastq.gz RIP-Seq 1.2 GB
RPS19-101m-3_S12_L002_R1_001.fastq.gz RIP-Seq 1.2 GB
RPS19-62m-1_S7_L001_R1_001.fastq.gz RIP-Seq 1.1 GB
RPS19-62m-1_S7_L002_R1_001.fastq.gz RIP-Seq 1.1 GB
RPS19-62m-2_S8_L001_R1_001.fastq.gz RIP-Seq 1.0 GB
RPS19-62m-2_S8_L002_R1_001.fastq.gz RIP-Seq 1.0 GB
RPS19-62m-3_S9_L001_R1_001.fastq.gz RIP-Seq 1.2 GB
RPS19-62m-3_S9_L002_R1_001.fastq.gz RIP-Seq 1.2 GB
RPS19-IN-1_S1_L001_R1_001.fastq.gz RIP-Seq 1.3 GB
RPS19-IN-1_S1_L002_R1_001.fastq.gz RIP-Seq 1.2 GB
RPS19-IN-2_S2_L001_R1_001.fastq.gz RIP-Seq 1.4 GB
RPS19-IN-2_S2_L002_R1_001.fastq.gz RIP-Seq 1.4 GB
RPS19-IN-3_S3_L001_R1_001.fastq.gz RIP-Seq 1.5 GB
RPS19-IN-3_S3_L002_R1_001.fastq.gz RIP-Seq 1.5 GB
RPS19-WT-1_S4_L001_R1_001.fastq.gz RIP-Seq 1.3 GB
RPS19-WT-1_S4_L002_R1_001.fastq.gz RIP-Seq 1.3 GB
RPS19-WT-2_S5_L001_R1_001.fastq.gz RIP-Seq 1.5 GB
RPS19-WT-2_S5_L002_R1_001.fastq.gz RIP-Seq 1.5 GB
RPS19-WT-3_S6_L001_R1_001.fastq.gz RIP-Seq 1.2 GB
RPS19-WT-3_S6_L002_R1_001.fastq.gz RIP-Seq 1.2 GB
SRR23391944_GSM7036828 RIP-Seq 1.2 GB
SRR23391945_GSM7036828 RIP-Seq 1.2 GB
SRR23391946_GSM7036827 RIP-Seq 1.5 GB
SRR23391947_GSM7036827 RIP-Seq 1.5 GB
SRR23391948_GSM7036826 RIP-Seq 1.3 GB
SRR23391949_GSM7036826 RIP-Seq 1.3 GB
SRR23391950_GSM7036825 RIP-Seq 1.2 GB
SRR23391951_GSM7036825 RIP-Seq 1.2 GB
SRR23391952_GSM7036824 RIP-Seq 1.0 GB
SRR23391953_GSM7036824 RIP-Seq 1.0 GB
SRR23391954_GSM7036823 RIP-Seq 1.1 GB
SRR23391955_GSM7036823 RIP-Seq 1.1 GB
SRR23391956_GSM7036822 RIP-Seq 1.2 GB
SRR23391957_GSM7036822 RIP-Seq 1.2 GB
SRR23391958_GSM7036821 RIP-Seq 1.1 GB
SRR23391959_GSM7036821 RIP-Seq 1.1 GB
SRR23391960_GSM7036820 RIP-Seq 1.5 GB
SRR23391961_GSM7036820 RIP-Seq 1.5 GB
SRR23391962_GSM7036819 RIP-Seq 1.4 GB
SRR23391963_GSM7036819 RIP-Seq 1.4 GB
SRR23391964_GSM7036818 RIP-Seq 1.3 GB
SRR23391965_GSM7036818 RIP-Seq 1.2 GB
GSE213867 GSE · via ncbi_elink
GEO ↗

Skipper analysis of RNA-protein interactions highlights depletion of genetic variation in translation factor binding sites

Homo sapiens

96 data files
FileTypeSize
EIF2B5-IN1_S1_L001_R1_001.fastq.gz RNA-Seq 121.2 MB
EIF2B5-IN1_S1_L002_R1_001.fastq.gz RNA-Seq 121.4 MB
EIF2B5-IN2_S2_L001_R1_001.fastq.gz RNA-Seq 69.7 MB
EIF2B5-IN2_S2_L002_R1_001.fastq.gz RNA-Seq 70.4 MB
EIF2B5-IP1-_S3_L001_R1_001.fastq.gz RNA-Seq 136.7 MB
EIF2B5-IP1-_S3_L002_R1_001.fastq.gz RNA-Seq 135.2 MB
EIF2B5-IP2-_S4_L001_R1_001.fastq.gz RNA-Seq 122.7 MB
EIF2B5-IP2-_S4_L002_R1_001.fastq.gz RNA-Seq 121.5 MB
EIF2D--IN1-_S9_L001_R1_001.fastq.gz RNA-Seq 189.9 MB
EIF2D--IN1-_S9_L002_R1_001.fastq.gz RNA-Seq 190.0 MB
EIF2D--IN2_S10_L001_R1_001.fastq.gz RNA-Seq 145.3 MB
EIF2D--IN2_S10_L002_R1_001.fastq.gz RNA-Seq 146.6 MB
EIF2D--IP1-_S11_L001_R1_001.fastq.gz RNA-Seq 234.5 MB
EIF2D--IP1-_S11_L002_R1_001.fastq.gz RNA-Seq 233.6 MB
EIF2D--IP2-_S12_L001_R1_001.fastq.gz RNA-Seq 196.6 MB
EIF2D--IP2-_S12_L002_R1_001.fastq.gz RNA-Seq 195.6 MB
EIF2S2--IN1-_S13_L001_R1_001.fastq.gz RNA-Seq 129.8 MB
EIF2S2--IN1-_S13_L002_R1_001.fastq.gz RNA-Seq 129.4 MB
EIF2S3-IN2-_S14_L001_R1_001.fastq.gz RNA-Seq 117.0 MB
EIF2S3-IN2-_S14_L002_R1_001.fastq.gz RNA-Seq 117.1 MB
EIF2S4-IP1-_S15_L001_R1_001.fastq.gz RNA-Seq 134.6 MB
EIF2S4-IP1-_S15_L002_R1_001.fastq.gz RNA-Seq 133.3 MB
EIF2S5-IP2-_S16_L001_R1_001.fastq.gz RNA-Seq 208.3 MB
EIF2S5-IP2-_S16_L002_R1_001.fastq.gz RNA-Seq 206.2 MB
EIF3J-In1_S43_L002_R1_001.fastq.gz RNA-Seq 360.4 MB
EIF3J-In2_S44_L002_R1_001.fastq.gz RNA-Seq 658.4 MB
EIF3J-IP1_S45_L002_R1_001.fastq.gz RNA-Seq 654.1 MB
EIF3J-IP2_S46_L002_R1_001.fastq.gz RNA-Seq 808.5 MB
IN1_RPS14_S22_L001_R1_001.fastq.gz RNA-Seq 513.9 MB
IN2_RPS14_S23_L001_R1_001.fastq.gz RNA-Seq 617.8 MB
IP1_RPS14_S24_L001_R1_001.fastq.gz RNA-Seq 958.1 MB
IP2_RPS14_S25_L001_R1_001.fastq.gz RNA-Seq 256.4 MB
RPL29_IN1_S21_L001_R1_001.fastq.gz RNA-Seq 1.8 GB
RPL29_IN2_S22_L001_R1_001.fastq.gz RNA-Seq 1.8 GB
RPL29_IP1_S23_L001_R1_001.fastq.gz RNA-Seq 1.5 GB
RPL29_IP2_S24_L001_R1_001.fastq.gz RNA-Seq 1.5 GB
RPL35A_IN1_S29_L001_R1_001.fastq.gz RNA-Seq 1.3 GB
RPL35A_IN2_S30_L001_R1_001.fastq.gz RNA-Seq 1.2 GB
RPL35A_IP1_S31_L001_R1_001.fastq.gz RNA-Seq 2.6 GB
RPL35A_IP2_S32_L001_R1_001.fastq.gz RNA-Seq 1.4 GB
RPS19_IN1_S5_L001_R1_001.fastq.gz RNA-Seq 511.1 MB
RPS19_IN2_S6_L001_R1_001.fastq.gz RNA-Seq 592.9 MB
RPS19_IP1_S13_L001_R1_001.fastq.gz RNA-Seq 634.1 MB
RPS19_IP2_S14_L001_R1_001.fastq.gz RNA-Seq 505.0 MB
RPS3A_IN1_S25_L001_R1_001.fastq.gz RNA-Seq 1.4 GB
RPS3A_IN2_S26_L001_R1_001.fastq.gz RNA-Seq 1.2 GB
RPS3A_IP1_S27_L001_R1_001.fastq.gz RNA-Seq 941.6 MB
RPS3A_IP2_S28_L001_R1_001.fastq.gz RNA-Seq 1.4 GB
SRR21658955_GSM6595567 RNA-Seq 658.0 MB
SRR21658956_GSM6595566 RNA-Seq 360.0 MB
SRR21658957_GSM6595565 RNA-Seq 117.0 MB
SRR21658958_GSM6595565 RNA-Seq 117.0 MB
SRR21658959_GSM6595564 RNA-Seq 129.0 MB
SRR21658960_GSM6595564 RNA-Seq 129.0 MB
SRR21658961_GSM6595563 RNA-Seq 145.0 MB
SRR21658962_GSM6595563 RNA-Seq 146.0 MB
SRR21658963_GSM6595562 RNA-Seq 189.0 MB
SRR21658964_GSM6595562 RNA-Seq 190.0 MB
SRR21658965_GSM6595561 RNA-Seq 69.0 MB
SRR21658966_GSM6595561 RNA-Seq 70.0 MB
SRR21658967_GSM6595560 RNA-Seq 121.0 MB
SRR21658968_GSM6595560 RNA-Seq 121.0 MB
SRR21658969_GSM6595559 RNA-Seq 592.0 MB
SRR21658970_GSM6595558 RNA-Seq 511.0 MB
SRR21658971_GSM6595557 RNA-Seq 1.8 GB
SRR21658972_GSM6595556 RNA-Seq 1.8 GB
SRR21658973_GSM6595555 RNA-Seq 1.2 GB
SRR21658974_GSM6595554 RNA-Seq 1.4 GB
SRR21658975_GSM6595553 RNA-Seq 1.2 GB
SRR21658976_GSM6595552 RNA-Seq 1.3 GB
SRR21658977_GSM6595551 RNA-Seq 617.0 MB
SRR21658978_GSM6595550 RNA-Seq 513.0 MB
SRR21658979_GSM6595549 RNA-Seq 808.0 MB
SRR21658980_GSM6595548 RNA-Seq 654.0 MB
SRR21658981_GSM6595547 RNA-Seq 208.0 MB
SRR21658982_GSM6595547 RNA-Seq 206.0 MB
SRR21658983_GSM6595546 RNA-Seq 134.0 MB
SRR21658984_GSM6595546 RNA-Seq 133.0 MB
SRR21658985_GSM6595545 RNA-Seq 196.0 MB
SRR21658986_GSM6595545 RNA-Seq 195.0 MB
SRR21658987_GSM6595544 RNA-Seq 234.0 MB
SRR21658988_GSM6595544 RNA-Seq 233.0 MB
SRR21658989_GSM6595543 RNA-Seq 122.0 MB
SRR21658990_GSM6595543 RNA-Seq 121.0 MB
SRR21658991_GSM6595542 RNA-Seq 136.0 MB
SRR21658992_GSM6595542 RNA-Seq 135.0 MB
SRR21658993_GSM6595541 RNA-Seq 504.0 MB
SRR21658994_GSM6595540 RNA-Seq 634.0 MB
SRR21658995_GSM6595539 RNA-Seq 1.5 GB
SRR21658996_GSM6595538 RNA-Seq 1.5 GB
SRR21658997_GSM6595537 RNA-Seq 1.3 GB
SRR21658998_GSM6595536 RNA-Seq 941.0 MB
SRR21658999_GSM6595535 RNA-Seq 1.4 GB
SRR21659000_GSM6595534 RNA-Seq 2.6 GB
SRR21659001_GSM6595533 RNA-Seq 256.0 MB
SRR21659002_GSM6595532 RNA-Seq 958.0 MB

Potentially related datasets 3

These accessions were text-mined from the PMC full text. They may be referenced for comparison, cited from other studies, or otherwise mentioned without being primary data for this paper.

Accession Source Title
GSE138197 GSE · GEO GEO ↗ Alternative polyadenylation mediates genetic regulation of gene expression
GSE213867 GSE · GEO GEO ↗ Skipper analysis of RNA-protein interactions highlights depletion of genetic variation in translation factor binding sites
GSE224998 GSE · GEO GEO ↗ RPS19 binding with and without Diamond-Blackfan anemia variants

Analysis pipelines 3

Pipeline Assay Steps Dataset
GSE138197 Data Processing geo_data_processing — 6 GSE138197
GSE213867 eCLIP Data Processing geo_data_processing eCLIP 5 GSE213867
GSE224998 eCLIP Data Processing geo_data_processing eCLIP 6 GSE224998
Funding 7 grants
Grant Funder
U24 HG009889 NHGRI NIH HHS (United States)
S10 OD026929 NIH HHS (United States)
R01 HG004659 NHGRI NIH HHS (United States)
RF1 MH126719 NIMH NIH HHS (United States)
R01 HG011864 NHGRI NIH HHS (United States)
U41 HG009889 NHGRI NIH HHS (United States)
S10 OD025052 NIH HHS (United States)