The quantitative impact of 3′UTRs on gene expression
Non-coding RNA profiling · human · 118 samples
- What it is
- Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
- Organism
- Homo sapiens (human)
- Samples
- 118 samples: 100 distinct titles, 15 of them repeatedGroups are read from the sample names, not from the paper. Check the list below.
- 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
- The quantitative impact of 3'UTRs on gene expressionNucleic acids research · 2025
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE270254_RAW.tar (it can run to tens of gigabytes).
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.
Also filed as BioProject PRJNA1125882 and SRA study SRP514832. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 118 sample titles: 100 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM8338095 PGK, PRO-seq, rep1
- GSM8338096 PGK, PRO-seq, rep2
- GSM8338097 CAG, PRO-seq, rep1
- GSM8338098 CAG, PRO-seq, rep2
- GSM8338099 CAG, PRO-seq, rep3
- GSM8338100 PGK, RNA-seq, rep1
- GSM8338101 CAG, RNA-seq, rep1
- GSM8338102 PGK, RNA-seq, rep2
- GSM8338103 CAG, RNA-seq, rep2
- GSM8338104 PGK, RNA-seq, rep3
- GSM8338105 CAG, RNA-seq, rep3
- GSM8338106 PGK, small RNA-seq, rep1
- GSM8338107 PGK, small RNA-seq, rep2
- GSM8338108 CAG, small RNA-seq, rep1
- GSM8338109 CAG, small RNA-seq, rep2
- GSM8338153 sorted GFP bin, 0-10, rep1, pilot
- GSM8338154 sorted GFP bin, 20-30, rep1, pilot
- GSM8338155 sorted GFP bin, 40-60, rep1, pilot
- GSM8338156 sorted GFP bin, 70-80, rep1, pilot
- GSM8338157 sorted GFP bin, 90-100, rep1, pilot
- GSM8338158 sorted GFP bin, 0-100, rep1, pilot
- GSM8338159 unsorted, genomic DNA, rep1, pilot
- GSM8338160 sorted GFP bin, 0-10, rep2, pilot
- GSM8338161 sorted GFP bin, 20-30, rep2, pilot
- GSM8338162 sorted GFP bin, 40-60, rep2, pilot
- GSM8338163 sorted GFP bin, 70-80, rep2, pilot
- GSM8338164 sorted GFP bin, 90-100, rep2, pilot
- GSM8338165 sorted GFP bin, 0-100, rep2, pilot
- GSM8338166 total genomic DNA, rep1, pilot
- GSM8338167 total genomic DNA, rep2, pilot
- GSM8338168 total RNA, rep1, pilot
- GSM8338169 total RNA, rep2, pilot
- GSM8338170 total RNA, rep3, pilot
- GSM8338171 polysome, cytoplasmic fraction, rep1, pilot
- GSM8338172 polysome, fraction 6, rep1, pilot
- GSM8338173 polysome, fraction 10, rep1, pilot
- GSM8338174 polysome, fraction 13, rep1, pilot
- GSM8338175 polysome, fraction 16, rep1, pilot
- GSM8338176 polysome, fraction 18, rep1, pilot
- GSM8338177 polysome, cytoplasmic fraction, rep2, pilot
+ 78 more — browse all 118 samples with per-sample file links →
No close match found for this topic, so these are simply the most-viewed datasets of the same kind.
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.