3D-printed Scaffolds to Regulate the Translational Balance between Vascularization and Bone Metabolism
RNA-seq (gene expression) · human · 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
- Homo sapiens (human)
- Samples
- 12 samples: 2 × BMSCs，PCL-O，Day vs 2 × BMSCs，PCL-S，Day vs 2 × BMSCs，PCL-E，Day vs 2 × BMSCs，PCL-SE，DayGroups 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 GSE246631_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 PRJNA1034004 and SRA study SRP469411. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 8 samples.
How we read this: 4 replicated groups read from 12 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.
- GSM7873770 EPCs，PCL-O，Day3
- GSM7873771 EPCs，PCL-S，Day3
- GSM7873772 EPCs，PCL-E，Day3
- GSM7873773 EPCs，PCL-SE，Day3
- GSM7873774 BMSCs，PCL-O，Day3 BMSCs，PCL-O，Day
- GSM7873775 BMSCs，PCL-S，Day3 BMSCs，PCL-S，Day
- GSM7873776 BMSCs，PCL-E，Day3 BMSCs，PCL-E，Day
- GSM7873777 BMSCs，PCL-SE，Day3 BMSCs，PCL-SE，Day
- GSM7873778 BMSCs，PCL-O，Day7 BMSCs，PCL-O，Day
- GSM7873779 BMSCs，PCL-S，Day7 BMSCs，PCL-S，Day
- GSM7873780 BMSCs，PCL-E，Day7 BMSCs，PCL-E，Day
- GSM7873781 BMSCs，PCL-SE，Day7 BMSCs，PCL-SE，Day
- GSE270879 Profiling of terminating ribosomes reveals translational control at stop codons 27 samples shares translational
- GSE303466 CD24+ human dental papilla cells as translational seed cells for dentin-pulp regeneration via BMP2/SIRT1 metabolic axis 12 samples shares translational
- GSE333415 Single-cell transcriptomic effects of LOX knockdown on tumor cell xenografts implanted on aged mouse breast dECM scaffolds 12 samples shares scaffolds
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.