RNA Sequencing Gene Expression Profiles in Wild-Type and MLK2 and MLK3 double knockout (MLK2-/-MLK3-/-) Mouse Lung Endothelial Cells Under Normoxic and Hypoxic Conditions
RNA-seq (gene expression) · mouse · 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
- Mus musculus (mouse)
- Samples
- 12 samples: 3 × MLK vs 3 × MLKHYP vs 3 × WT vs 3 × WTHYPGroups 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
- Mixed lineage kinase (MLK) controls tumor development and angiogenesisAngiogenesis · 2025
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 GSE295461_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 PRJNA1254720 and SRA study SRP580818. 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.
- GSM8950697 MLK1 MLK
- GSM8950698 MLK2 MLK
- GSM8950699 MLK3 MLK
- GSM8950700 MLKHYP1 MLKHYP
- GSM8950701 MLKHYP2 MLKHYP
- GSM8950702 MLKHYP3 MLKHYP
- GSM8950703 WT1 WT
- GSM8950704 WT2 WT
- GSM8950705 WT3 WT
- GSM8950706 WTHYP1 WTHYP
- GSM8950707 WTHYP2 WTHYP
- GSM8950708 WTHYP3 WTHYP
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- GSE192687 Single-cell RNAseq analysis of renal endothelial cells in murine diabetic nephropathy 5464 samples shares endothelial
- GSE274544 Single cell profiling reveals three endothelial to hematopoietic transitions with divergent isoform expression landscapes [scRNA-Seq] 1494 samples shares endothelial
- GSE229427 Tracking spatio-temporal dynamics of the endothelial niche during fetal hematopoiesis 216 samples shares endothelial
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.