Targeting transcriptional factor YY1 is synthetic lethal with loss of the histone demethylase KDM5C [RNA-Seq]
RNA-seq (gene expression) · human · 24 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
- 24 samples: 8 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
- Targeting the transcription factor YY1 is synthetic lethal with loss of the histone demethylase KDM5CEMBO reports · 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 GSE270718_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 PRJNA1128069 and SRA study SRP516033. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 24 samples.
How we read this: 8 replicated groups read from 24 sample titles; they account for 24 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.
- GSM8350573 ACHN, shNC, RNA-seq, repeat1 ACHN, shNC, RNA-seq, re…
- GSM8350574 ACHN, shNC, RNA-seq, repeat2 ACHN, shNC, RNA-seq, re…
- GSM8350575 ACHN, shNC, RNA-seq, repeat3 ACHN, shNC, RNA-seq, re…
- GSM8350576 ACHN, shKDM5C, RNA-seq, repeat1 ACHN, shKDM5C, RNA-seq,…
- GSM8350577 ACHN, shKDM5C, RNA-seq, repeat2 ACHN, shKDM5C, RNA-seq,…
- GSM8350578 ACHN, shKDM5C, RNA-seq, repeat3 ACHN, shKDM5C, RNA-seq,…
- GSM8350579 ACHN, shYY1, RNA-seq, repeat1 ACHN, shYY1, RNA-seq, r…
- GSM8350580 ACHN, shYY1, RNA-seq, repeat2 ACHN, shYY1, RNA-seq, r…
- GSM8350581 ACHN, shYY1, RNA-seq, repeat3 ACHN, shYY1, RNA-seq, r…
- GSM8350582 ACHN, Dsh, RNA-seq, repeat1 ACHN, Dsh, RNA-seq, rep…
- GSM8350583 ACHN, Dsh, RNA-seq, repeat2 ACHN, Dsh, RNA-seq, rep…
- GSM8350584 ACHN, Dsh, RNA-seq, repeat3 ACHN, Dsh, RNA-seq, rep…
- GSM8350585 HK2, shNC, RNA-seq, repeat1 HK2, shNC, RNA-seq, rep…
- GSM8350586 HK2, shNC, RNA-seq, repeat2 HK2, shNC, RNA-seq, rep…
- GSM8350587 HK2, shNC, RNA-seq, repeat3 HK2, shNC, RNA-seq, rep…
- GSM8350588 HK2, shKDM5C, RNA-seq, repeat1 HK2, shKDM5C, RNA-seq, …
- GSM8350589 HK2, shKDM5C, RNA-seq, repeat2 HK2, shKDM5C, RNA-seq, …
- GSM8350590 HK2, shKDM5C, RNA-seq, repeat3 HK2, shKDM5C, RNA-seq, …
- GSM8350591 HK2, shYY1, RNA-seq, repeat1 HK2, shYY1, RNA-seq, re…
- GSM8350592 HK2, shYY1, RNA-seq, repeat2 HK2, shYY1, RNA-seq, re…
- GSM8350593 HK2, shYY1, RNA-seq, repeat3 HK2, shYY1, RNA-seq, re…
- GSM8350594 HK2, Dsh, RNA-seq, repeat1 HK2, Dsh, RNA-seq, repe…
- GSM8350595 HK2, Dsh, RNA-seq, repeat2 HK2, Dsh, RNA-seq, repe…
- GSM8350596 HK2, Dsh, RNA-seq, repeat3 HK2, Dsh, RNA-seq, repe…
- GSE331257 Histone succinylation directly inhibits Jumonji domain demethylases and stabilizes repressive chromatin states [RNA-Seq] 24 samples shares demethylase, histone, rna-seq
- GSE240656 Multi-center Korean cohort study based on RNA-sequencing data targeting COPD patients 294 samples shares targeting, rna-seq
- GSE281471 Targeting CD206+ macrophages disrupts the establishment of a key anti-tumor immune axis [Bulk RNA-seq] 243 samples shares targeting, rna-seq
- GSE222556 Neoadjuvant PARPi or Chemotherapy in Ovarian Cancer Informs Targeting Effector Treg Cells for Homologous-Recombination-Deficient Tumors [10x scRNA-seq] 67 samples shares targeting, rna-seq
- GSE279872 Targeting FOXA1 and FOXA2 Disrupts the Lineage-Specific Oncogenic Output in Prostate Cancer [RNA-seq] 30 samples shares targeting, rna-seq
- GSE313197 Tumor Antigen–Independent Targeting of Solid Tumors by Armored 1 Macrophage-Directed anti-TREM2-CAR T Cells [human scRNA-seq] 23 samples shares targeting, rna-seq
- GSE310473 Targeting Fused in Sarcoma (FUS): A Novel Antisense Strategy for Treating Idiopathic Pulmonary Fibrosis [RNA-Seq IPF] 16 samples shares targeting, rna-seq
- GSE316477 Tumor Cell Clustering Enhances Metastatic Competence by Regulating the H3K36 Histone Demethylase KDM2A 11 samples shares demethylase, histone
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.