AOS10-FMT could rescure the adverse effects induced by STZ on the kidney
RNA-seq (gene expression) · mouse · 18 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
- 18 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.
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 GSE180827_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 PRJNA749736 and SRA study SRP329892. 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 18 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.
- GSM5471662 kidney A10-1_KA-1
- GSM5471663 kidney A10-2_KA-2
- GSM5471664 kidney A10-3_KA-3
- GSM5471665 kidney Kcon-1 kidney Kcon
- GSM5471666 kidney Kcon-2 kidney Kcon
- GSM5471667 kidney Kcon-3 kidney Kcon
- GSM5471668 kidney STZ-1 kidney STZ
- GSM5471669 kidney STZ-2 kidney STZ
- GSM5471670 kidney STZ-3 kidney STZ
- GSM5471671 kidney SA10-1 kidney SA10
- GSM5471672 kidney SA10-2 kidney SA10
- GSM5471673 kidney SA10-3 kidney SA10
- GSM5471674 kidney SAF-1 kidney SAF
- GSM5471675 kidney SAF-2 kidney SAF
- GSM5471676 kidney SAF-3 kidney SAF
- GSM5471677 kidney SCF-1 kidney SCF
- GSM5471678 kidney SCF-2 kidney SCF
- GSM5471679 kidney SCF-3 kidney SCF
- GSE179097 AOS10-FMT could rescure the adverse effects induced by high fat diet & STZ on the kidney [kidney_RNA-seq] 18 samples shares aos10-fmt, stz, rescure, adverse, induced, kidney, could
- GSE184025 AOS10-FMT could rescure the adverse effects induced by STZ on the testis 18 samples shares aos10-fmt, stz, rescure, adverse, induced, could
- GSE179099 AOS10-FMT could rescure the adverse effects induced by high fat diet & STZ on the Spleen [spleen_RNA-seq] 18 samples shares aos10-fmt, stz, rescure, adverse, induced, could
- GSE179100 AOS10-FMT could rescure the adverse effects induced by high fat diet & STZ on the testis [testis_RNA-seq] 18 samples shares aos10-fmt, stz, rescure, adverse, induced, could
- GSE173566 AOS10-FMT could rescure the adverse effects induced by high fat diet on the kidney 18 samples shares aos10-fmt, rescure, adverse, induced, kidney, could
- GSE176110 AOS10-FMT could rescure the adverse effects induced by high fat diet on the Spleen 18 samples shares aos10-fmt, rescure, adverse, induced, could
- GSE175911 AOS10-FMT could rescure the adverse effects induced by high fat diet on the testis 18 samples shares aos10-fmt, rescure, adverse, induced, could
- GSE184785 L.J. could rescure the adverse effects induced by busulfan on the kidney 12 samples shares rescure, adverse, induced, kidney, could
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.