MYCN-driven de-differentiation profile identifies a subgroup of aggressive retinoblastoma II
RNA-seq (gene expression) · human · 82 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
- 82 samples: 7 conditions, mostly in triplicateGroups 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
- A MYCN-driven de-differentiation profile identifies a subgroup of aggressive retinoblastomaCommunications biology · 2024
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 GSE268136_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 PRJNA1114744 and SRA study SRP509258. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 73 samples.
How we read this: 7 replicated groups read from 82 sample titles; they account for 73 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.
- GSM8286161 RB_3 RB
- GSM8286162 RB_4 RB
- GSM8286163 RB_5 RB
- GSM8286164 RB_6 RB
- GSM8286165 RB_7 RB
- GSM8286166 RB_8 RB
- GSM8286167 RB_10 RB
- GSM8286168 RB_12 RB
- GSM8286169 RB_13 RB
- GSM8286170 RB_19 RB
- GSM8286171 RB_20 RB
- GSM8286172 RB_21 RB
- GSM8286173 RB_22 RB
- GSM8286174 RB_23 RB
- GSM8286175 RB_24 RB
- GSM8286176 RB_25 RB
- GSM8286177 RB_26 RB
- GSM8286178 RB_27 RB
- GSM8286179 RB_28 RB
- GSM8286180 RB_29 RB
- GSM8286181 RB_30 RB
- GSM8286182 RB_31 RB
- GSM8286183 RB_32 RB
- GSM8286184 RB_33 RB
- GSM8286185 RB_34 RB
- GSM8286186 RB_35 RB
- GSM8286187 RB_36 RB
- GSM8286188 RB_37 RB
- GSM8286189 RB_38 RB
- GSM8286190 RB_39 RB
- GSM8286191 RB_40 RB
- GSM8286192 RB_41 RB
- GSM8286193 RB_42 RB
- GSM8286194 RB_43 RB
- GSM8286195 RB_44 RB
- GSM8286196 RB_45 RB
- GSM8286197 RB_46 RB
- GSM8286198 RB_47 RB
- GSM8286199 RB_48 RB
- GSM8286200 RB_49 RB
+ 42 more — browse all 82 samples with per-sample file links →
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- GSE277709 Whole blood transcriptome profile identifies motor neurone disease (MND) RNA biomarker signatures 84 samples shares identifies
- GSE325907 Placental gene co-expression networks and mediation analysis identifies pathways and genes associated with birthweight 319 samples shares identifies
- GSE279302 eQTL in diseased colon tissue identifies novel target genes associated with IBD 191 samples shares identifies
- GSE243579 iPSC-based modeling of preeclampsia identifies defects in extravillous trophoblast differentiation 144 samples shares identifies
- GSE318816 Blood-based Molecular Endotyping of Fibrotic Hypersensitivity Pneumonitis Identifies Two Immune Subtypes with Divergent Clinical Outcomes 126 samples shares identifies
- GSE271408 Single-cell RNA-sequencing identifies unique cell-specific gene expression profiles in high-grade cardiac allograft vasculopathy 16 samples shares identifies
- GSE275870 Expression profiling of primary and metastatic oral squamous cell carcinoma identifies progression-associated transcriptome changes and therapeutic vulnerabilities 108 samples shares identifies
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.