HOXC4 Promotes Proliferation of Endometriotic Stromal Cells via the SLIT2-ROBO1 Axis
RNA-seq (gene expression) · human · 12 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
- 12 samples: 3 × EcSCs vs 3 × ESCs vs 3 × HOXC4 KO EcSCs vs 3 × Control EcSCsGroups 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 GSE286315_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 PRJNA1208666 and SRA study SRP556390. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.
- GSM8723550 EcSCs 1 EcSCs
- GSM8723551 EcSCs 2 EcSCs
- GSM8723552 EcSCs 3 EcSCs
- GSM8723553 ESCs 1 ESCs
- GSM8723554 ESCs 2 ESCs
- GSM8723555 ESCs 3 ESCs
- GSM8723556 HOXC4 KO EcSCs 1 HOXC4 KO EcSCs
- GSM8723557 HOXC4 KO EcSCs 2 HOXC4 KO EcSCs
- GSM8723558 HOXC4 KO EcSCs 3 HOXC4 KO EcSCs
- GSM8723559 Control EcSCs 1 Control EcSCs
- GSM8723560 Control EcSCs 2 Control EcSCs
- GSM8723561 Control EcSCs 3 Control EcSCs
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- GSE273824 Non-catalytic role of SETD1A promotes gastric cancer cell proliferation through the E2F4-TAF6 axis in the cell cycle (ChIP-seq) 24 samples shares proliferation, promotes, axis
- GSE245739 The transcription factor IRF4 impedes human CD8 T-cell function and promotes cells proliferation and PD-1 expression 40 samples shares proliferation, promotes
- GSE298356 Endothelins positively influences the proliferation vs migration balance of IDH1-mutant glioma cells and promotes proneural to mesenchymal transition [RNAseq-275HUVEC] 12 samples shares proliferation, promotes
- GSE295278 Hyperbaric Oxygen Promotes Both the Proliferation and Chemosensitization of Glioblastoma Cells by Inhibiting HIF1α/HIF2α-ABCG2 12 samples shares proliferation, promotes
- GSE272538 A novel association of EZH2 and E2F1 promotes breast cancer cell proliferation through chromatin remodeling [RNA-Seq] 18 samples shares proliferation, promotes
- GSE270159 Linker histone variant H1-10 promotes prostate cancer proliferation [RNA-seq] 16 samples shares proliferation, promotes
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.