RNA sequencing of NPM1cA/SMC+/- mouse myeloid sarcoma and whole bone marrow
RNA-seq (gene expression) · mouse · 16 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
- 16 samples: 14 distinct titles, 2 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.
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 GSE264700_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 PRJNA1103820 and SRA study SRP505064. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 16 sample titles: 14 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.
- GSM8226331 Whole Bone Marrow, Mouse 737, NPM1cA/SMC3+/-, Rep1
- GSM8226332 Whole Bone Marrow, Mouse 779, NPM1cA/SMC3+/-, Rep1
- GSM8226333 Whole Bone Marrow, Mouse 782, NPM1cA/SMC3+/-, Rep1
- GSM8226334 Myeloid Sarcoma, Mouse 841, NPM1cA, Rep1
- GSM8226335 Whole Bone Marrow, Mouse 919, NPM1cA/SMC3+/-, Rep1
- GSM8226336 Myeloid Sarcoma, Mouse 948, NPM1cA/SMC3+/-, Rep1
- GSM8226337 Myeloid Sarcoma, Mouse 948, NPM1cA/SMC3+/-, Rep2
- GSM8226338 Whole Bone Marrow, Mouse 949, NPM1cA/SMC3+/-, Rep1
- GSM8226339 Whole Bone Marrow, Mouse 1103, NPM1cA/SMC3+/-, Rep1
- GSM8226340 Whole Bone Marrow, Mouse 1267, NPM1cA/SMC3+/-, Rep1
- GSM8226341 Myeloid Sarcoma, Mouse 1267, NPM1cA/SMC3+/-, Rep1
- GSM8226342 Whole Bone Marrow, Mouse 2721, NPM1cA/SMC3+/-, Rep1
- GSM8226343 Myeloid Sarcoma, Mouse 2721, NPM1cA/SMC3+/-, Rep1
- GSM8226344 Myeloid Sarcoma, Mouse 2721, NPM1cA/SMC3+/-, Rep2
- GSM8226345 Whole Bone Marrow, Mouse 3332, NPM1cA/SMC3+/-, Rep1
- GSM8226346 Myeloid Sarcoma, Mouse 1268_1270, NPM1cA/SMC3+/-, Rep1
- GSE294362 Aged bone marrow myeloid and mesenchymal cells develop unique senescence phenotypes 80 samples shares myeloid, marrow, bone
- GSE281145 Myeloid-biased HSC require Semaphorin 4A from the bone marrow niche for self-renewal under stress and life-long persistence 10 samples shares myeloid, marrow, bone
- GSE294868 Loss of EGFR prevents the synergistic early-phase impact of obesity-associated metabolic and humoral stress on primary VSMC – stressor synergy, sex-dependence 69 samples shares smc
- GSE295772 Mechanisms governing interaction of the chromosomal protein SMCHD1 with chromatin determined by live-cell and single molecule imaging 36 samples shares smc
- GSE294678 Dietary restriction mitigates vascular aging, modulates the cGAS-STING pathway and reverses macrophage-like VSMC phenotypes in progeroid DNA-repair-deficient Ercc1Δ/- mice 29 samples shares smc
- GSE270835 Sex-Specific modulation of Anxiety-Like behavior by Forebrain Neuronal SMC3 in Mice 22 samples shares smc
- GSE301477 RNA-seq analysis of arterial smooth muscle cells (ASMCs) isolated from the lung, heart, aorta, stomach, intestine, kidney and bladder 22 samples shares smc
- GSE255661 Effect of conditional SMC specific deletion of ADAR1 on mouse aortic single cell transcriptomic profile and effect on atherosclerosis 22 samples shares smc
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.