Thyroid cancer-associated EZH1 Q571R mutation drives chromatin compaction and H3K27me3 invasion into active chromatin
RNA-seq (gene expression) · human · 18 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)
- Topic
- Thyroid cancerThis series is part of our curated briefing on it.
- Samples
- 18 samples: 6 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.
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 GSE294325_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 PRJNA1249028 and SRA study SRP578011. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 18 samples.
How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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.
- GSM8902399 Nthy, EZH1 WT, RNA, rep1 Nthy, EZH1 WT, RNA,
- GSM8902400 Nthy, EZH1 WT, RNA, rep2 Nthy, EZH1 WT, RNA,
- GSM8902401 Nthy, EZH1 WT, RNA, rep3 Nthy, EZH1 WT, RNA,
- GSM8902402 Nthy, EZH1 Q571R, RNA, rep1 Nthy, EZH1 Q571R, RNA,
- GSM8902403 Nthy, EZH1 Q571R, RNA, rep2 Nthy, EZH1 Q571R, RNA,
- GSM8902404 Nthy, EZH1 Q571R, RNA, rep3 Nthy, EZH1 Q571R, RNA,
- GSM9381432 Nty, EZH1 Y727D, RNA, rep1 Nty, EZH1 Y727D, RNA,
- GSM9381433 Nty, EZH1 Y727D, RNA, rep2 Nty, EZH1 Y727D, RNA,
- GSM9381434 Nty, EZH1 Y727D, RNA, rep3 Nty, EZH1 Y727D, RNA,
- GSM9381435 Nty, EZH1 Q571R;Y727D, RNA, rep1 Nty, EZH1 Q571R;Y727D, …
- GSM9381436 Nty, EZH1 Q571R;Y727D, RNA, rep2 Nty, EZH1 Q571R;Y727D, …
- GSM9381437 Nty, EZH1 Q571R;Y727D, RNA, rep3 Nty, EZH1 Q571R;Y727D, …
- GSM9381438 Nthy, EZH2 WT, RNA, rep1 Nthy, EZH2 WT, RNA,
- GSM9381439 Nthy, EZH2 WT, RNA, rep2 Nthy, EZH2 WT, RNA,
- GSM9381440 Nthy, EZH2 WT, RNA, rep3 Nthy, EZH2 WT, RNA,
- GSM9381441 Nthy, EZH2 Q570R, RNA, rep1 Nthy, EZH2 Q570R, RNA,
- GSM9381442 Nthy, EZH2 Q570R, RNA, rep2 Nthy, EZH2 Q570R, RNA,
- GSM9381443 Nthy, EZH2 Q570R, RNA, rep3 Nthy, EZH2 Q570R, RNA,
- GSE294323 Thyroid cancer-associated EZH1 Q571R mutation drives chromatin compaction and H3K27me3 invasion into active chromatin 18 samples same disease briefing · shares h3k27me3, q571r, ezh1, cancer-associated, compaction, chromatin, mutation, invasion
- GSE294321 Thyroid cancer-associated EZH1 Q571R mutation drives chromatin compaction and H3K27me3 invasion into active chromatin 16 samples same disease briefing · shares h3k27me3, q571r, ezh1, cancer-associated, compaction, chromatin, mutation, invasion
- GSE294320 Thyroid cancer-associated EZH1 Q571R mutation drives chromatin compaction and H3K27me3 invasion into active chromatin 12 samples same disease briefing · shares h3k27me3, q571r, ezh1, cancer-associated, compaction, chromatin, mutation, invasion
- GSE244824 NSUN2 regulates thyroid cancer-associated alternative splicing switches 8 samples same disease briefing · shares cancer-associated
- GSE317520 Mitochondrial DNA Mutations Drive Tumor Heterogeneity in Papillary Thyroid Carcinoma 92 samples same disease briefing · shares mutation
- GSE310793 PRECISE: A prognostic thyroid follicular-cell derived gene signature for papillary thyroid carcinoma 109 samples same disease briefing
- GSE165724 Transcriptome analysis discloses dysregulated genes in normal appearing tumor-adjacent thyroid tissues from patients with papillary thyroid carcinoma 74 samples same disease briefing
- GSE223765 Mitochondrial SHMT2 is a crucial therapeutic target in dedifferentiated thyroid cancer (2nd study) 65 samples same disease briefing
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.