Gut microbiota depletion delays peripheral nerve development and impairs neuromuscular junction maturation
RNA-seq (gene expression) · mouse · 36 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
- 36 samples: 12 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.
- Paper
- Gut microbiota depletion delays somatic peripheral nerve development and impairs neuromuscular junction maturationGut microbes · 2024
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 GSE210649_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 PRJNA866547 and SRA study SRP390179. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 36 samples.
How we read this: 12 replicated groups read from 36 sample titles; they account for 36 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.
- GSM6434169 adultDRG, CGM_96_32 adultDRG, CGM_96
- GSM6434170 adultDRG, CGM_96_33 adultDRG, CGM_96
- GSM6434171 adultDRG, CGM_96_34 adultDRG, CGM_96
- GSM6434172 adultDRG, GF_96_29 adultDRG, GF_96
- GSM6434173 adultDRG, GF_96_30 adultDRG, GF_96
- GSM6434174 adultDRG, GF_96_31 adultDRG, GF_96
- GSM6434175 adultDRG, OMM12_96_26 adultDRG, OMM12_96
- GSM6434176 adultDRG, OMM12_96_27 adultDRG, OMM12_96
- GSM6434177 adultDRG, OMM12_96_28 adultDRG, OMM12_96
- GSM6434178 adultSN, CGM_96_7 adultSN, CGM_96
- GSM6434179 adultSN, CGM_96_8 adultSN, CGM_96
- GSM6434180 adultSN, CGM_96_9 adultSN, CGM_96
- GSM6434181 adultSN, GF_96_4 adultSN, GF_96
- GSM6434182 adultSN, GF_96_5 adultSN, GF_96
- GSM6434183 adultSN, GF_96_6 adultSN, GF_96
- GSM6434184 adultSN, OMM12_96_1 adultSN, OMM12_96
- GSM6434185 adultSN, OMM12_96_2 adultSN, OMM12_96
- GSM6434186 adultSN, OMM12_96_3 adultSN, OMM12_96
- GSM6434187 neonatalDRG, CGM_96_93 neonatalDRG, CGM_96
- GSM6434188 neonatalDRG, CGM_96_94 neonatalDRG, CGM_96
- GSM6434189 neonatalDRG, CGM_96_95 neonatalDRG, CGM_96
- GSM6434190 neonatalDRG, GF_96_85 neonatalDRG, GF_96
- GSM6434191 neonatalDRG, GF_96_86 neonatalDRG, GF_96
- GSM6434192 neonatalDRG, GF_96_87 neonatalDRG, GF_96
- GSM6434193 neonatalDRG, OMM12_96_78 neonatalDRG, OMM12_96
- GSM6434194 neonatalDRG, OMM12_96_80 neonatalDRG, OMM12_96
- GSM6434195 neonatalDRG, OMM12_96_82 neonatalDRG, OMM12_96
- GSM6434196 neonatalSN, CGM_96_72 neonatalSN, CGM_96
- GSM6434197 neonatalSN, CGM_96_73 neonatalSN, CGM_96
- GSM6434198 neonatalSN, CGM_96_74 neonatalSN, CGM_96
- GSM6434199 neonatalSN, GF_96_65 neonatalSN, GF_96
- GSM6434200 neonatalSN, GF_96_66 neonatalSN, GF_96
- GSM6434201 neonatalSN, GF_96_67 neonatalSN, GF_96
- GSM6434202 neonatalSN, OMM12_96_58 neonatalSN, OMM12_96
- GSM6434203 neonatalSN, OMM12_96_59 neonatalSN, OMM12_96
- GSM6434204 neonatalSN, OMM12_96_60 neonatalSN, OMM12_96
- GSE302808 Depletion of Peripheral Monocytes Alters Long-Term Gene Expression in Microglia in a Murine Model of Traumatic Brain Injury 84 samples shares peripheral, depletion
- GSE299537 Inhibition of AhR improves cortical bone and skeletal muscle function via preservation of neuromuscular junctions 16 samples shares neuromuscular, junction
- GSE267909 Single-nuclei sequencing of skeletal muscle reveals subsynaptic-specific transcripts involved in neuromuscular junction maintenance (bulk RNA-Seq) 14 samples shares neuromuscular, junction
- GSE267910 Single-nuclei sequencing of skeletal muscle reveals subsynaptic-specific transcripts involved in neuromuscular junction maintenance (snRNA-Seq) 12 samples shares neuromuscular, junction
- GSE263094 Microglial NLRP3-gasdermin D activation impairs blood-brain barrier integrity through interleukin-1β-independent neutrophil chemotaxis upon peripheral inflammation 10 samples shares peripheral, impairs
- GSE293592 Maternal immune activation delays DNA methylation and physiological maturation of cortical excitatory neurons 106 samples shares maturation, delays
- GSE294765 A skeletal muscle atlas shows neuromuscular junction adaptations to growth and atrophy 35 samples shares neuromuscular, junction
- GSE67857 Host microbiota constantly control maturation and function of microglia in the central nervous system (part 2) 20 samples shares microbiota, maturation
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.