Enterococcus faecium activates BMP/SMAD-mediated osteoblastogenesis and Wnt mediated neurogenesis while inhibiting PD
RNA-seq (gene expression) · mouse · 15 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
- 15 samples: 5 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.
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 GSE284676_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 PRJNA1200030 and SRA study SRP552498. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 15 samples.
How we read this: 5 replicated groups read from 15 sample titles; they account for 15 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.
- GSM8690388 Con_muscle_1 Con_muscle
- GSM8690389 Con_muscle_2 Con_muscle
- GSM8690390 Con_muscle_3 Con_muscle
- GSM8690391 MPTP_muscle_1 MPTP_muscle
- GSM8690392 MPTP_muscle_2 MPTP_muscle
- GSM8690393 MPTP_muscle_3 MPTP_muscle
- GSM8690394 Levo_muscle_1 Levo_muscle
- GSM8690395 Levo_muscle_2 Levo_muscle
- GSM8690396 Levo_muscle_3 Levo_muscle
- GSM8690397 Entero_muscle_1 Entero_muscle
- GSM8690398 Entero_muscle_2 Entero_muscle
- GSM8690399 Entero_muscle_3 Entero_muscle
- GSM8704824 Entero_brain_1 Entero_brain
- GSM8704825 Entero_brain_2 Entero_brain
- GSM8704826 Entero_brain_3 Entero_brain
- GSE236543 Mouse neural tube organoids self-organize floorplate through BMP-mediated cluster competition 17 samples shares bmp, mediated
- GSE260579 Mouse neural tube organoids self-organize floorplate through BMP-mediated cluster competition 16 samples shares bmp, mediated
- GSE315069 Smad4-p65 interactions drive BMP-mediated protection against inflammatory cell death [RNA-Seq] 12 samples shares bmp, mediated
- GSE300884 Endothelial PIEZO1 activation impairs osteogenesis via GREM1-mediated inhibition of BMP signaling [MC3T3_RNA-seq] 8 samples shares bmp, mediated
- GSE268565 BMPR1A-mediated BMP signalling ensures correct mitosis-to-meiosis transition in mouse fetal ovarian germ cells, in vivo 8 samples shares bmp, mediated
- GSE315066 Smad4-p65 interactions drive BMP-mediated protection against inflammatory cell death [4C-Seq] 12 samples shares bmp, mediated
- GSE315062 Smad4-p65 interactions drive BMP-mediated protection against inflammatory cell death [ChIP-Seq] 10 samples shares bmp, mediated
- GSE315063 Smad4-p65 interactions drive BMP-mediated protection against inflammatory cell death [ATAC-Seq] 10 samples shares bmp, mediated
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.