Super-enhancers-driven SOX4/SMAD3 enhances AXL signaling via membrane phospholipid remodeling to accelerate leukemia progression [RNA-Seq]
RNA-seq (gene expression) · human · 42 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
- 42 samples: 36 distinct titles, 6 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
- Super-Enhancer-Driven SOX4/SMAD3 Mediate Membrane Remodeling by Regulating Phospholipid Metabolism to Accelerate Leukemia ProgressionAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 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 GSE292717_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 PRJNA1241147 and SRA study SRP572813. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 42 sample titles: 36 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.
- GSM8864105 LAMA-84 cells, PLKO-1
- GSM8864106 LAMA-84 cells, PLKO-2
- GSM8864107 LAMA-84 cells, shSMAD3-1
- GSM8864108 LAMA-84 cells, shSMAD3-2
- GSM8864109 LAMA-84 cells, shSOX4-1
- GSM8864110 LAMA-84 cells, shSOX4-2
- GSM8864111 Patient tissue, BP-1_FRAS210213024-1r
- GSM8864112 Patient tissue, BP-2_FRAS210213022-1r
- GSM8864113 Patient tissue, BP-3_FRAS210213027-1r
- GSM8864114 Patient tissue, BP-4_FRAS210213032-1r
- GSM8864115 Patient tissue, BP-5_FRAS210213033-1r
- GSM8864116 Patient tissue, BP-6_FRAS210213034-1r
- GSM8864117 Patient tissue, BP-7_FRAS210213046-1r
- GSM8864118 Patient tissue, BP-8_FRAS210213048-1r
- GSM8864119 Patient tissue, BP-9_FRAS210213056-1r
- GSM8864120 Patient tissue, BP-10_FRAS210213061-1r
- GSM8864121 Patient tissue, BP-11_FRAS210213059-1r
- GSM8864122 Patient tissue, BP-12_FRAS210213060-1r
- GSM8864123 Patient tissue, BP-13_FRAS210213063-1r
- GSM8864124 Patient tissue, BP-14_FRAS210213064-1r
- GSM8864125 Patient tissue, BP-15_FRAL210213066-1a
- GSM8864126 Patient tissue, CP-1_FRAS210213025-1r
- GSM8864127 Patient tissue, CP-2_FRAS210213042-1r
- GSM8864128 Patient tissue, CP-3_FRAS210213030-1r
- GSM8864129 Patient tissue, CP-4_FRAS210213036-1r
- GSM8864130 Patient tissue, CP-5_FRAS210213038-1r
- GSM8864131 Patient tissue, CP-6_FRAS210213039-1r
- GSM8864132 Patient tissue, CP-7_FRAS210213041-1r
- GSM8864133 Patient tissue, CP-8_FRAS210213045-1r
- GSM8864134 Patient tissue, CP-9_FRAS210213049-1r
- GSM8864135 Patient tissue, CP-10_FRAS210213051-1r
- GSM8864136 Patient tissue, CP-11_FRAS210213052-1r
- GSM8864137 Patient tissue, CP-12_FRAS210213053-1r
- GSM8864138 Patient tissue, CP-13_FRAS210213043-1r
- GSM8864139 Patient tissue, CP-14_FRAS210213057-1r
- GSM8864140 Patient tissue, CP-15_FRAS210213058-1r
- GSM9034434 KBM5 cells, PLKO-1
- GSM9034435 KBM5 cells, PLKO-2
- GSM9034436 KBM5 cells, shSMAD3-1
- GSM9034437 KBM5 cells, shSMAD3-2
+ 2 more — browse all 42 samples with per-sample file links →
- GSE292716 Super-enhancers-driven SOX4/SMAD3 enhances AXL signaling via membrane phospholipid remodeling to accelerate leukemia progression [ChIP-seq] 20 samples shares smad3, sox4, axl, super-enhancers-driven, phospholipid, progression, remodeling, accelerate
- GSE292718 Super-enhancers-driven SOX4/SMAD3 enhances AXL signaling via membrane phospholipid remodeling to accelerate leukemia progression [CUT&Tag] 16 samples shares smad3, sox4, axl, super-enhancers-driven, phospholipid, progression, remodeling, accelerate
- GSE292576 XPO1 R749Q Mutation Drives Endometrial Cancer Progression by Activating HIF-1/2α–AXL–PI3K/MAPK Signaling 6 samples shares axl, progression
- GSE250129 SOX4 promotes T cell acute lymphoblastic leukemia progression 4 samples shares sox4, progression
- GSE300358 TGFβ signaling promotes cell cycle progression and resistance to the CDK4/6 inhibitor palbociclib through SOX4 transcriptional modulation in breast cancer cells 40 samples shares sox4, progression
- GSE268946 RNA-binding proteins DND1 and NANOS3 coordinately suppress SOX4 in processing bodies for restricting the entry of germ cell lineage 36 samples shares sox4
- GSE298146 SOX4 Mediated Differentiation of Specific T Lymphocyte Subsets at the Maternal-Fetal Interface Contributes to Preterm Labor [RNA-Seq] 34 samples shares sox4
- GSE333379 AXL phosphosite mapping links FAK1 and YAP1 signaling to erlotinib resistance in EGFR-mutant lung cancer 29 samples shares axl
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.