Investigation of the impact of transcription factor SP1,MITF and CREB3L1 in HeLa cells
RNA-seq (gene expression) · human · 20 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
- 20 samples: 5 conditions, mostly with about 4 replicates eachGroups 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 coordinated transcriptional program controls de novo Golgi biogenesisThe EMBO journal · 2026
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 GSE299965_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 PRJNA1277727 and SRA study SRP592521. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 20 samples.
How we read this: 5 replicated groups read from 20 sample titles; they account for 20 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.
- GSM9051133 HeLaCTRL-1 HeLaCTRL
- GSM9051134 HeLaCTRL-2 HeLaCTRL
- GSM9051135 HeLaCTRL-3 HeLaCTRL
- GSM9051136 HeLaCTRL-4 HeLaCTRL
- GSM9051137 HeLaMITF-1 HeLaMITF
- GSM9051138 HeLaMITF-2 HeLaMITF
- GSM9051139 HeLaMITF-3 HeLaMITF
- GSM9051140 HeLaMITF-4 HeLaMITF
- GSM9051141 HeLaSP1-1 HeLaSP1
- GSM9051142 HeLaSP1-2 HeLaSP1
- GSM9051143 HeLaSP1-3 HeLaSP1
- GSM9051144 HeLaSP1-4 HeLaSP1
- GSM9051145 HeLaCREB3L1FL-1 HeLaCREB3L1FL
- GSM9051146 HeLaCREB3L1FL-2 HeLaCREB3L1FL
- GSM9051147 HeLaCREB3L1FL-3 HeLaCREB3L1FL
- GSM9051148 HeLaCREB3L1FL-4 HeLaCREB3L1FL
- GSM9051149 HeLaCREB3L1CA-1 HeLaCREB3L1CA
- GSM9051150 HeLaCREB3L1CA-2 HeLaCREB3L1CA
- GSM9051151 HeLaCREB3L1CA-3 HeLaCREB3L1CA
- GSM9051152 HeLaCREB3L1CA-4 HeLaCREB3L1CA
- GSE283855 Direct Targeting of the Oncogene Microphthalmia-Associated Transcription Factor (MITF) by Fragment-Based Discovery [RNA-seq] 42 samples shares mitf, transcription, factor
- GSE255256 Transcriptomics profiling of the effect of inducible knock-down of the melanocyte inducing transcription factor (MITF) in melanoma cell lines 12 samples shares mitf, transcription, factor
- GSE283857 Direct Targeting of the Oncogene Microphthalmia-Associated Transcription Factor (MITF) by Fragment-Based Discovery 75 samples shares mitf, transcription, factor
- GSE326132 USP18 impacts on platinum-resistance in ovarian cancer cells by modulating DNA repair 51 samples shares sp1, impact
- GSE294526 The USP11/TCEAL1 complex promotes transcription elongation to sustain oncogenic gene expression in neuroblastoma [RNA-seq II] 21 samples shares sp1, transcription
- GSE273322 A trimeric USP11-USP7-TCEAL1 complex stabilizes paused RNAPII to sustain oncogenic transcription [RNA-seq] 12 samples shares sp1, transcription
- GSE273326 A trimeric USP11-USP7-TCEAL1 complex stabilizes paused RNAPII to sustain oncogenic transcription 63 samples shares sp1, transcription
- GSE268110 EC-8042 disrupts both the primary SP/KLF transcription regulatory network and the secondary network induced by HDACi treatment. [SP1&H3K27me3 CUT&Tag] 20 samples shares sp1, transcription
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.