RNA sequencing of AP1M1 KO HEK293 and U2OS
RNA-seq (gene expression) · human · 32 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
- 32 samples: 7 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
- A CRISPR/Cas9 screen reveals proteins at the endosome-Golgi interface that modulate cellular anti-sense oligonucleotide activityNature communications · 2025
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 GSE280430_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 PRJNA1178584 and SRA study SRP541542. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 30 samples.
How we read this: 7 replicated groups read from 32 sample titles; they account for 30 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.
- GSM8597683 HEK293-WT-clone B6 HEK293-WT-clone B
- GSM8597684 HEK293-WT-clone B7 HEK293-WT-clone B
- GSM8597685 HEK293-WT-clone B8 HEK293-WT-clone B
- GSM8597686 HEK293-WT-clone B9 HEK293-WT-clone B
- GSM8597687 HEK293-WT-clone B10 HEK293-WT-clone B
- GSM8597688 HEK293-WT-clone B11 HEK293-WT-clone B
- GSM8597689 HEK293-AP1M1 KO-clone E2 HEK293-AP1M1 KO-clone E
- GSM8597690 HEK293-AP1M1 KO-clone E3 HEK293-AP1M1 KO-clone E
- GSM8597691 HEK293-AP1M1 KO-clone E4 HEK293-AP1M1 KO-clone E
- GSM8597692 HEK293-AP1M1 KO-clone E5 HEK293-AP1M1 KO-clone E
- GSM8597693 HEK293-AP1M1 KO-clone E6 HEK293-AP1M1 KO-clone E
- GSM8597694 HEK293-AP1M1 KO-clone E7 HEK293-AP1M1 KO-clone E
- GSM8597695 HEK293-AP1M1 KO-clone E8 HEK293-AP1M1 KO-clone E
- GSM8597696 HEK293-AP1M1 KO-clone E9 HEK293-AP1M1 KO-clone E
- GSM8597697 HEK293-AP1M1 KO-clone E10 HEK293-AP1M1 KO-clone E
- GSM8597698 HEK293-AP1M1 KO-clone E11 HEK293-AP1M1 KO-clone E
- GSM8597699 HEK293-AP1M1 KO-clone F2 HEK293-AP1M1 KO-clone F
- GSM8597700 HEK293-AP1M1 KO-clone F3 HEK293-AP1M1 KO-clone F
- GSM8597701 HEK293-WT-clone D7 HEK293-WT-clone D
- GSM8597702 HEK293-WT-clone D9 HEK293-WT-clone D
- GSM8597703 HEK293-WT-clone D10 HEK293-WT-clone D
- GSM8597704 HEK293-WT-clone D11 HEK293-WT-clone D
- GSM8597705 HEK293-WT-clone F8 HEK293-WT-clone F
- GSM8597706 HEK293-WT-clone F9 HEK293-WT-clone F
- GSM8597707 HEK293-WT-clone F10 HEK293-WT-clone F
- GSM8597708 HEK293-WT-clone F11 HEK293-WT-clone F
- GSM8597709 HEK293-WT-clone C10 HEK293-WT-clone C
- GSM8597710 HEK293-WT-clone C11 HEK293-WT-clone C
- GSM8597711 U2OS-WT-clone 1 U2OS-WT-clone
- GSM8597712 U2OS-WT-clone 2 U2OS-WT-clone
- GSM8597713 U2OS-AP1M1 KO-clone A10
- GSM8597714 U2OS-AP1M1 KO-clone B1
- GSE280432 RNA sequencing of non-targetting ASOs on HEK293 and U2OS cells 36 samples shares hek293, u2os
- GSE317890 Transcriptomic profiling of interferon responses induced by IVT sgRNAs in CRISPRi HEK293T cells 360 samples shares hek293
- GSE335700 RNA sequencing of vtRNA-knockout HEK293T cell lines 36 samples shares hek293
- GSE87198 RNA sequencing quantitative analysis of RNA editing levels in ADAR1, ADAR2, AIMP2 overexpression and wild type HEK293 cells 17 samples shares hek293
- GSE246377 RNA Sequencing of HEK293T cells expressing 15xGly or 99xGly 12 samples shares hek293
- GSE252809 RNA Sequencing Reveals Transcriptomic Changes in HEK293 Cells Following Introduction of rs16851030 DNA Variant 6 samples shares hek293
- GSE305359 RNA-Sequencing of HEK293 During Adeno-Associated Virus Production [EXPA] 6 samples shares hek293
- GSE254174 Changes to the global transcriptome in human U2OS and BJ cell lines as a result of STING activation 48 samples shares u2os
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.