Gene expression profile at single cell level of lungs of adult male and female C57BL/6 mice with andwithout high-fat diet-induced obesity
Single-cell RNA-seq · mouse · 12 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Mus musculus (mouse)
- Samples
- 12 samples: 3 × nf vs 3 × nm vs 3 × of vs 3 × omGroups 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 GSE279918_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1175385 and SRA study SRP539690. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.
- GSM8583354 nf1 nf
- GSM8583355 nf2 nf
- GSM8583356 nf3 nf
- GSM8583357 nm1 nm
- GSM8583358 nm2 nm
- GSM8583359 nm3 nm
- GSM8583360 of1 of
- GSM8583361 of2 of
- GSM8583362 of3 of
- GSM8583363 om1 om
- GSM8583364 om2 om
- GSM8583365 om3 om
- GSE315007 Sex- and hepatocyte Pparg-dependent hepatic effects of a high fat diet containing 60% kcal from fat and 2% cholesterol, which was supplemented with 10% fructose in the drinking water (HFC+Fr) to induce diet-induced obesity in male and female mice. 30 samples shares diet-induced, obesity, female
- GSE228455 Gene expression profile at single cell level of monocytes sorted from C57BL/6J mouse ear tissue at 3 weeks post Leishmania major infection [scRNA-seq] 218 samples shares c57bl, level
- GSE306854 Exploring the sex and estrous cycle-dependent differences in microglia response to amyloid-beta pathology in female and male C57BL6/J (WT) and 5xFAD using bulk mRNAseq of isolated microglia. 24 samples shares c57bl, female
- GSE330380 The effects of adiponectin knockout on hepatic gene expression in male and female C57BL/6NCrl mice fed ad libitum or undergoing caloric restriction 22 samples shares c57bl, female
- GSE274825 RNA sequencing of MC38 tumor cells from control-diet- and high-fat-diet-fed C57BL/6J mice 10 samples shares c57bl, high-fat
- GSE278812 Gene expression profile at single cell level of immune cells from the dura mater of naïve C57BL6/N mice and during different phases of EAE. 10 samples shares c57bl, level
- GSE306035 scRNA-Seq of immune populations from nasal mucosa and lungs of C57BL/6 mice and BLT1 receptor deficient mice infected intranasally with MCMV K181 strain 20 samples shares c57bl, lungs
- GSE302447 A multi-functional oral small molecule targeting energy and lipid metabolism as a treatment for diet-induced obesity 67 samples shares diet-induced, obesity
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.