Assessing the impact of loss of HUSH or HUSH2 subunits on the transcriptome
RNA-seq (gene expression) · human · 14 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
- 14 samples: 11 distinct titles, 2 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
- Competition between two HUSH complexes orchestrates the immune response to retroelement invasionMolecular cell · 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 GSE268797_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 PRJNA1118768 and SRA study SRP511069. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 14 sample titles: 11 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.
- GSM8299608 CRISPRi-HUSH2, dCas9, rep1
- GSM8299609 CRISPRi-HUSH2, dCas9, rep2
- GSM8299610 CRISPRi-HUSH2, sgAAVS1, rep1
- GSM8299611 CRISPRi-HUSH2, sgAAVS1, rep2
- GSM8299612 CRISPRi-HUSH2, sgAAVS1, rep3
- GSM8299613 CRISPRi-HUSH2, sg1-TASOR
- GSM8299614 CRISPRi-HUSH2, sg2-TASOR
- GSM8299615 CRISPRi-HUSH2, sg1-TASOR2
- GSM8299616 CRISPRi-HUSH2, sg2-TASOR2
- GSM8299617 CRISPRi-HUSH2, sg3-TASOR2
- GSM8299618 CRISPRi-HUSH2, sg1-MPP8
- GSM8299619 CRISPRi-HUSH2, sg2-MPP8
- GSM8299620 CRISPRi-HUSH2, sg1-PPHLN1
- GSM8299621 CRISPRi-HUSH2, sg2-PPHLN1
- GSE268795 Profiling the genome-wide distribution of HUSH2 subunits 8 samples shares hush2, hush, subunits
- GSE268798 Assessing the impact of loss of IRF2 on the transcriptome 8 samples shares assessing, impact, loss
- GSE269262 Assessing the impact of loss of IRF2 on TASOR2 localization 3 samples shares assessing, impact, loss
- GSE268794 Profiling the genome-wide distribution of HUSH subunits 8 samples shares hush, subunits
- GSE279633 Assessing the Impact of Cell Isolation Method on B cell Gene Expression using Next-Generation Sequencing 11 samples shares assessing, impact
- GSE267825 Assessing the impact of GXYLT2 knockdown on the expression levels of genes associated with malignant characteristics, including proliferation, invasion, and stemness, in HGC-27 gastric cancer cells. 6 samples shares assessing, impact
- GSE296915 Assessing the Impact of Metabolic Competence on Estrogenic Chemical Bioactivity in High-Throughput Profiling Assays 0 samples shares assessing, impact
- GSE240386 DNA methylation status determines the sensitivity of repeats to restriction by the HUSH-MORC2 complex [Bulk RNA-seq] 27 samples shares hush
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.