NG2/CSPG4 regulates the transcriptional profile of mandibular fibrochondrocytes during serum starvation [RNAseq-immortalized cells]
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 × HITM_Norm vs 3 × HITM_Opti vs 3 × HITMNG2Col6_Norm vs 3 × HITMNG2Col6_OptiGroups 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
- NG2/CSPG4 attenuates motility in mandibular fibrochondrocytes under serum starvation conditionsFrontiers in cell and developmental biology · 2023
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 GSE245590_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 PRJNA1029039 and SRA study SRP466852. 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.
- GSM7845387 HITM_Norm01 HITM_Norm
- GSM7845388 HITM_Norm02 HITM_Norm
- GSM7845389 HITM_Norm03 HITM_Norm
- GSM7845390 HITM_Opti01 HITM_Opti
- GSM7845391 HITM_Opti02 HITM_Opti
- GSM7845392 HITM_Opti03 HITM_Opti
- GSM7845393 HITMNG2Col6_Norm01 HITMNG2Col6_Norm
- GSM7845394 HITMNG2Col6_Norm02 HITMNG2Col6_Norm
- GSM7845395 HITMNG2Col6_Norm03 HITMNG2Col6_Norm
- GSM7845396 HITMNG2Col6_Opti01 HITMNG2Col6_Opti
- GSM7845397 HITMNG2Col6_Opti02 HITMNG2Col6_Opti
- GSM7845398 HITMNG2Col6_Opti03 HITMNG2Col6_Opti
- GSE250597 NG2+ and Tbx18+ pericyte subtypes exhibit distinct reprogramming potency following ischemic stroke 6 samples shares ng2
- GSE295685 TNG260, a novel small-molecule CoREST inhibitor, sensitizes STK11-mutant tumors to anti-PD-1 immunotherapy 4 samples shares ng2
- GSE298051 TNG260, a novel small-molecule CoREST inhibitor, sensitizes STK11-mutant tumors to anti-PD-1 immunotherapy 24 samples shares ng2
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.