Human Subcutaneous abdominal adipose tissue RNAseq - NYC sample
RNA-seq (gene expression) · human · 19 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
- Homo sapiens (human)
- Samples
- 19 samples: 19 samples, each with a distinct title — no replicated groupsGroups 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
- Multiomics reveal key inflammatory drivers of severe obesity: IL4R, LILRA5, and OSMCell genomics · 2025
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 GSE287627_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 PRJNA1213843 and SRA study SRP558820. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 19 sample titles: 19 distinct titles with little repetition. 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.
- GSM8749111 1_ABD_RNA_seq
- GSM8749112 2_ABD_RNA_seq
- GSM8749113 3_ABD_RNA_seq
- GSM8749114 4_ABD_RNA_seq
- GSM8749115 5_ABD_RNA_seq
- GSM8749116 6_ABD_RNA_seq
- GSM8749117 7_ABD_RNA_seq
- GSM8749118 8_ABD_RNA_seq
- GSM8749119 9_ABD_RNA_seq
- GSM8749120 10_ABD_RNA_seq
- GSM8749121 11_ABD_RNA_seq
- GSM8749122 12_ABD_RNA_seq
- GSM8749123 13_ABD_RNA_seq
- GSM8749124 14_ABD_RNA_seq
- GSM8749125 15_ABD_RNA_seq
- GSM8749126 16_ABD_RNA_seq
- GSM8749127 17_ABD_RNA_seq
- GSM8749128 18_ABD_RNA_seq
- GSM8749129 19_ABD_RNA_seq
- GSE306796 Human Subcutaneous ABD/GLU/Thi adipose tissue RNAseq - NYC sample 32 samples shares nyc, subcutaneous, adipose
- GSE303983 Molecular responses in abdominal subcutaneous adipose tissue after a session of endurance exercise: effects of exercise intensity 90 samples shares subcutaneous, abdominal, adipose
- GSE235529 snRNA-Seq from Younger and Older human abdominal subcutaneous white adipose tissue 10 samples shares subcutaneous, abdominal, adipose
- GSE329809 The Effect of Weight Loss on Metabolic Processes of the Abdominal Subcutaneous Adipose Tissue: An Exploratory Study using total RNA Next Generation Sequencing 18 samples shares subcutaneous, abdominal, adipose
- GSE306825 Heterogeneity in populations from subcutaneous abdominal and thigh adipose tissues of women 14 samples shares subcutaneous, abdominal, adipose
- GSE249089 Single-nucleus RNA-sequencing of human subcutaneous adipose tissue biopsies from 84 Finnish participants. 84 samples shares subcutaneous, adipose
- GSE245948 A dynamic subcutaneous adipose transcriptome of human insulin resistance identifies a molecular predisposition shared with visceral adipose tissue 76 samples shares subcutaneous, adipose
- GSE274778 Single-nucleus RNA sequencing of human subcutaneous adipose tissue biopsies from 68 Finnish participants. 68 samples shares subcutaneous, adipose
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.