RNA-seq analysis of dorsal root ganglia (DRG) from MIA-induced osteoarthritis mice with acupuncture or no treatment: Focus on neuro-immune crosstalk genes
RNA-seq (gene expression) · mouse · 8 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
- 8 samples: 4 × MIA vs 4 × MIA_AcuGroups 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 GSE327205_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 PRJNA1449961 and SRA study SRP689827. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 8 samples.
How we read this: 2 replicated groups read from 8 sample titles; they account for 8 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.
- GSM9651223 MIA_1 MIA
- GSM9651224 MIA_2 MIA
- GSM9651225 MIA_3 MIA
- GSM9651226 MIA_5 MIA
- GSM9651227 MIA_Acu_1 MIA_Acu
- GSM9651228 MIA_Acu_2 MIA_Acu
- GSM9651229 MIA_Acu_4 MIA_Acu
- GSM9651230 MIA_Acu_5 MIA_Acu
- GSE309530 RNA-seq profiling in dorsal root ganglian (DRG) after fracture surgery and Protectin DX treatment 18 samples shares drg, treatment, rna-seq
- GSE302022 Biological processes in Nav1.8-posistive DRG neurons after PTX treatment (the long model) in control (LTβR-fl/fl) and Na1.8-cre/LRβR-fl/fl mice 16 samples shares drg, treatment
- GSE330238 Bulk RNA-seq of dorsal root ganglion (DRG) neuron with 3 conditions 9 samples shares drg, rna-seq
- GSE303321 RNA-Seq analysis of GPR68 on basal and acute ischemia-induced transcriptome changes in mouse brain 22 samples shares mia-induced, rna-seq
- GSE280781 Preterm birth increases susceptibility to hyperglycemia-induced glomerular alterations in the kidneys of male mice [bulk RNA-seq] 20 samples shares mia-induced, rna-seq
- GSE232206 Transcriptomic analysis of post-traumatic osteoarthritis mouse models identifies miR-199a-5p as a regulator of abnormal mechanical loading in articular cartilage (RNA-Seq) 18 samples shares osteoarthritis, rna-seq
- GSE301065 Targeting adipocyte ESRRA alleviates osteoarthritis via interrupting inter-organelle crosstalk of complement C3-CFD-MAC cascade 8 samples shares osteoarthritis, crosstalk
- GSE252509 Predisposal of Interferon Regulatory Factor 1 Deficiency to Accumulate DNA Damage and Promote Osteoarthritis Development in Cartilage [Ad_RNA-seq] 6 samples shares osteoarthritis, 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.