RNA-seq of ex vivo differentiated osteoclasts of FLT3 ITD Ptprc KO mice and controls
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: 4 × WT vs 4 × Ptprc KO vs 4 × FLT3 ITD vs 4 × FLT3 ITD Ptprc KOGroups 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
- Oncogenic FLT3 internal tandem duplications (ITD) and CD45/PTPRC control osteoclast functions and bone microarchitectureJBMR plus · 2025
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 GSE273708_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 PRJNA1142895 and SRA study SRP523585. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 16 samples.
How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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.
- GSM8435742 WT1 WT
- GSM8435743 WT2 WT
- GSM8435744 WT3 WT
- GSM8435745 WT4 WT
- GSM8435746 Ptprc KO1 Ptprc KO
- GSM8435747 Ptprc KO2 Ptprc KO
- GSM8435748 Ptprc KO3 Ptprc KO
- GSM8435749 Ptprc KO4 Ptprc KO
- GSM8435750 FLT3 ITD1 FLT3 ITD
- GSM8435751 FLT3 ITD2 FLT3 ITD
- GSM8435752 FLT3 ITD3 FLT3 ITD
- GSM8435753 FLT3 ITD4 FLT3 ITD
- GSM8435754 FLT3 ITD Ptprc KO1 FLT3 ITD Ptprc KO
- GSM8435755 FLT3 ITD Ptprc KO2 FLT3 ITD Ptprc KO
- GSM8435756 FLT3 ITD Ptprc KO3 FLT3 ITD Ptprc KO
- GSM8435757 FLT3 ITD Ptprc KO4 FLT3 ITD Ptprc KO
- GSE215369 Gene expression profiles of cKit positive bone marrow cells from six genotype mice - WT, Idh1R132, Npm1c, Flt3ITD, Idh1R132+Npm1c, and Idh1R132+Flt3ITD 54 samples shares flt3, itd
- GSE215370 Mutant IDH1 cooperates with NPM1c or FLT3-ITD to drive distinct myeloid diseases and molecular outcomes 153 samples shares flt3, itd
- GSE215368 DNA methylation profiles of cKit positive bone marrow cells from six genotype mice - WT, Idh1R132, Npm1c, Flt3ITD, Idh1R132+Npm1c, and Idh1R132+Flt3ITD 52 samples shares flt3, itd
- GSE215367 Chromation accessibility profiles of cKit positive bone marrow cells from six genotype mice - WT, Idh1R132, Npm1c, Flt3ITD, Idh1R132+Npm1c, and Idh1R132+Flt3ITD 47 samples shares flt3, itd
- GSE318348 Single cell LARRY state-fate analysis of Npm1cA/Flt3-ITD acute myeloid leukemia stem cells 20 samples shares flt3, itd
- GSE300836 TopBP1 controls conventional dendritic cell development and Flt3L-driven cDC1 differentiation via PU.1 and IRF8 4 samples shares flt3, controls
- GSE301438 TopBP1 controls conventional dendritic cell development and Flt3L-driven cDC1 differentiation via PU.1 and IRF8 [ChIP-Seq] 2 samples shares flt3, controls
- GSE290297 Population RNA-seq from Th17 cells differentiated in vitro under pathogenic (Th17p) and non-pathogenic (Th17n) conditions with DHEA or EGCG 79 samples shares differentiated, rna-seq
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.