A bone regenerative strategy based on extracellular vesicles transporting citrate for promoting biomineralization
RNA-seq (gene expression) · mouse · 37 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
- 37 samples: 13 conditions, mostly in triplicateGroups 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 GSE240538_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 PRJNA1004194 and SRA study SRP454438. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 37 samples.
How we read this: 13 replicated groups read from 37 sample titles; they account for 37 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.
- GSM7699705 E8.5_rep_1 E8.5
- GSM7699706 E8.5_rep_2 E8.5
- GSM7699707 E8.5_rep_3 E8.5
- GSM7699708 E9_rep_1 E9
- GSM7699709 E9_rep_2 E9
- GSM7699710 E9_rep_3 E9
- GSM7699711 E9.5_rep_1 E9.5
- GSM7699712 E9.5_rep_2 E9.5
- GSM7699713 E9.5_rep_3 E9.5
- GSM7699714 E10_rep1 E10
- GSM7699715 E10_rep2 E10
- GSM7699716 E10_rep3 E10
- GSM7699717 E10.5_rep_1 E10.5
- GSM7699718 E10.5_rep_2 E10.5
- GSM7699719 E10.5_rep_3 E10.5
- GSM7699720 E11_rep_1 E11
- GSM7699721 E11_rep_2 E11
- GSM7699722 E11_rep_3 E11
- GSM7699723 E11.5_rep_1 E11.5
- GSM7699724 E11.5_rep_2 E11.5
- GSM7699725 E11.5_rep_3 E11.5
- GSM7699726 E12_rep_1 E12
- GSM7699727 E12_rep_2 E12
- GSM7699728 E12_rep_3 E12
- GSM7699729 E12.5_rep_1 E12.5
- GSM7699730 E12.5_rep_2 E12.5
- GSM7699731 E12.5_rep_3 E12.5
- GSM7699732 E13.5_rep_1 E13.5
- GSM7699733 E13.5_rep_2 E13.5
- GSM7699734 E13.5_rep_3 E13.5
- GSM7699735 E14.5_rep_1 E14.5
- GSM7699736 E14.5_rep_2 E14.5
- GSM7699737 E14.5_rep_3 E14.5
- GSM7699738 Q_rep_1 Q
- GSM7699739 Q_rep_2 Q
- GSM7699740 H_rep_1 H
- GSM7699741 H_rep_2 H
- GSE201969 In vivo self-assembly and targeted delivery of EGFR siRNA-encapsulating small extracellular vesicles to EGFR-positive cancer cells for NSCLC therapy 72 samples shares extracellular, vesicles
- GSE242731 Class switch recombination regulation by extracellular vesicles mediated intercellular epigenomic signaling 48 samples shares extracellular, vesicles
- GSE272476 Neutrophils exposed to a cholesterol metabolite secrete extracellular vesicles that promote epithelial-mesenchymal transition and stemness in breast cancer cells [RNA-seq] 30 samples shares extracellular, vesicles
- GSE333855 RNY1 partitions into extracellular vesicles and ribonucleoprotein particles and regulates macrophage programming by airway fluids during inflammation. 20 samples shares extracellular, vesicles
- GSE327752 Human breast milk-derived extracellular vesicles alleviate Alzheimer’s disease phenotypes through delivering CD36 18 samples shares extracellular, vesicles
- GSE243611 Human Brain Small Extracellular Vesicles Contain Selectively-Packaged, Full-Length mRNA 18 samples shares extracellular, vesicles
- GSE333191 Integration of Transcriptional Signatures from Brain Tissue and Plasma Extracellular Vesicles of a Preclinical Tauopathy Mouse Model 16 samples shares extracellular, vesicles
- GSE297762 Mesenchymal Stem Cell Extracellular Vesicles Ameliorate Radiation-caused Dry Mouth 15 samples shares extracellular, vesicles
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.