Repeats mimic pathogen-associated patterns across a vast evolutionary landscape [RIP-Seq]
RNA-seq (gene expression) · human · 16 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
- 16 samples: 8 conditions, mostly in duplicateGroups 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
- Repeats mimic pathogen-associated patterns across a vast evolutionary landscapeCell genomics · 2025
Read the full summary ↓
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 GSE305618_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.
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 PRJNA1307287 and SRA study SRP609574. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 16 samples.
How we read this: 8 replicated groups read from 16 sample titles; they account for 16 of them. 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.
- GSM9180698 RIP-Seq, anti-ZCCHC3 antibody, 300mM salt concentration, replicate 1 RIP-Seq, anti-ZCCHC3 an…
- GSM9180699 RIP-Seq, anti-ZCCHC3 antibody, 500mM salt concentration, replicate 1 RIP-Seq, anti-ZCCHC3 an…
- GSM9180700 RIP-Seq, mock antibody, 300mM salt concentration, replicate 1 RIP-Seq, mock antibody,…
- GSM9180701 RIP-Seq, mock antibody, 500mM salt concentration, replicate 1 RIP-Seq, mock antibody,…
- GSM9180702 RIP-Seq, anti-ZCCHC3 antibody, 300mM salt concentration, replicate 2 RIP-Seq, anti-ZCCHC3 an…
- GSM9180703 RIP-Seq, anti-ZCCHC3 antibody, 500mM salt concentration, replicate 2 RIP-Seq, anti-ZCCHC3 an…
- GSM9180704 RIP-Seq, mock antibody, 300mM salt concentration, replicate 2 RIP-Seq, mock antibody,…
- GSM9180705 RIP-Seq, mock antibody, 500mM salt concentration, replicate 2 RIP-Seq, mock antibody,…
- GSM9180706 RIP-Seq, anti-ORFP1p antibody, 300mM salt concentration, replicate 1 RIP-Seq, anti-ORFP1p an…
- GSM9180707 RIP-Seq, anti-ORFP1p antibody, 500mM salt concentration, replicate 1 RIP-Seq, anti-ORFP1p an…
- GSM9180708 total RNA control, 300mM salt concentration, replicate 1 total RNA control, 300m…
- GSM9180709 total RNA control, 500mM salt concentration, replicate 1 total RNA control, 500m…
- GSM9180710 RIP-Seq, anti-ORFP1p antibody, 300mM salt concentration, replicate 2 RIP-Seq, anti-ORFP1p an…
- GSM9180711 RIP-Seq, anti-ORFP1p antibody, 500mM salt concentration, replicate 2 RIP-Seq, anti-ORFP1p an…
- GSM9180712 total RNA control, 300mM salt concentration, replicate 2 total RNA control, 300m…
- GSM9180713 total RNA control, 500mM salt concentration, replicate 2 total RNA control, 500m…
- GSE81547 Single cell transcriptome analysis of human pancreas reveals transcriptional signatures of aging and somatic mutation patterns. 2544 samples shares patterns
- GSE45642 Circadian patterns of gene expression in the human brain and disruption in major depressive disorder [control set] 670 samples shares patterns
- GSE23768 Diverse somatic mutation patterns and pathway alterations in human cancers 526 samples shares patterns
- GSE316098 Spatial Transcriptomic Landscape of Invasion Patterns in Human Papillomavirus-Associated Endocervical Adenocarcinoma 186 samples shares patterns
- GSE274269 Distinct patterns of metagenomic surveillance and respiratory microbiota between two P1 genotypes of Mycoplasma pneumoniae 174 samples shares patterns
- GSE26133 DNA methylation patterns associate with genetic and gene expression variation in HapMap cell lines 160 samples shares patterns
- GSE3649 Individuality and variation in gene expression patterns in human blood. 147 samples shares patterns
- GSE188561 Shared patterns of glial transcriptional dysregulation link Huntington's disease and schizophrenia 139 samples shares patterns
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.