The effect of 70% hepatectomy on G-MDSCs transcription profile at different time points
RNA-seq (gene expression) · mouse · 24 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
- 24 samples: 8 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
- CD11b(+)Ly6G(+) myeloid-derived suppressor cells promote liver regeneration in a murine model of major hepatectomyFASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2019
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 GSE278987_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 PRJNA1169879 and SRA study SRP536986. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 24 samples.
How we read this: 8 replicated groups read from 24 sample titles; they account for 24 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.
- GSM8559345 G-MDSCs, hepatectomy, POD1, rep1 G-MDSCs, hepatectomy, P…
- GSM8559346 G-MDSCs, hepatectomy, POD1, rep2 G-MDSCs, hepatectomy, P…
- GSM8559347 G-MDSCs, hepatectomy, POD1, rep3 G-MDSCs, hepatectomy, P…
- GSM8559348 G-MDSCs, hepatectomy, POD2, rep1 G-MDSCs, hepatectomy, P…
- GSM8559349 G-MDSCs, hepatectomy, POD2, rep2 G-MDSCs, hepatectomy, P…
- GSM8559350 G-MDSCs, hepatectomy, POD2, rep3 G-MDSCs, hepatectomy, P…
- GSM8559351 G-MDSCs, hepatectomy, POD3, rep1 G-MDSCs, hepatectomy, P…
- GSM8559352 G-MDSCs, hepatectomy, POD3, rep2 G-MDSCs, hepatectomy, P…
- GSM8559353 G-MDSCs, hepatectomy, POD3, rep3 G-MDSCs, hepatectomy, P…
- GSM8559354 G-MDSCs, hepatectomy, POD4, rep1 G-MDSCs, hepatectomy, P…
- GSM8559355 G-MDSCs, hepatectomy, POD4, rep2 G-MDSCs, hepatectomy, P…
- GSM8559356 G-MDSCs, hepatectomy, POD4, rep3 G-MDSCs, hepatectomy, P…
- GSM8559357 G-MDSCs, sham, POD1, rep1 G-MDSCs, sham, POD1,
- GSM8559358 G-MDSCs, sham, POD1, rep2 G-MDSCs, sham, POD1,
- GSM8559359 G-MDSCs, sham, POD1, rep3 G-MDSCs, sham, POD1,
- GSM8559360 G-MDSCs, sham, POD2, rep1 G-MDSCs, sham, POD2,
- GSM8559361 G-MDSCs, sham, POD2, rep2 G-MDSCs, sham, POD2,
- GSM8559362 G-MDSCs, sham, POD2, rep3 G-MDSCs, sham, POD2,
- GSM8559363 G-MDSCs, sham, POD3, rep1 G-MDSCs, sham, POD3,
- GSM8559364 G-MDSCs, sham, POD3, rep2 G-MDSCs, sham, POD3,
- GSM8559365 G-MDSCs, sham, POD3, rep3 G-MDSCs, sham, POD3,
- GSM8559366 G-MDSCs, sham, POD4, rep1 G-MDSCs, sham, POD4,
- GSM8559367 G-MDSCs, sham, POD4, rep2 G-MDSCs, sham, POD4,
- GSM8559368 G-MDSCs, sham, POD4, rep3 G-MDSCs, sham, POD4,
- GSE286046 Asymmetric Histone Inheritance Regulates Differential Transcription Re-initiation and Cell Fate Decisions in Mouse Olfactory Horizontal Basal Cells 96 samples shares transcription, different
- GSE220665 The Transcriptional Cofactor SKI Regulates Medullary Thymic Epithelial Cell Differentiation and Peripheral T Cell Responses 42 samples shares transcription, different
- GSE279796 Setdb1 regulates proper differentiation of adult intestinal stem cells via restraining permissive chromatin structure and transcriptional variability 18 samples shares transcription, different
- GSE282802 KMT2D controls cerebellar granule cell differentiation by temporally activating neuronal transcriptional factor genes [CUT&RUN] 10 samples shares transcription, different
- GSE241165 Characterizing the gene expression profiles of 4T1 and 4T1.2 cells at different stages of bone metastsis using SMART-Seq2 technology 1248 samples shares different
- GSE295428 Spaceflight induces systemic effects on extracellular matrix and immune system in different age-stages 229 samples shares different
- GSE293709 Transcriptome analysis in the prefrontal cortex of different ASD mouse models treated with drug 1565 samples shares different
- GSE242709 Global transcriptional profiles of primary and secondary cellular senescence in vivo by oncogene-induced senescence (OIS) and stress-induced senescence (SIS) 76 samples shares transcription
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.