Human Subcutaneous ABD/GLU/Thi adipose tissue RNAseq - NYC sample
RNA-seq (gene expression) · human · 32 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
- 32 samples: 14 × Abd vs 10 × Thi vs 8 × GluGroups 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 GSE306796_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 PRJNA1312127 and SRA study SRP614094. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 32 samples.
How we read this: 3 replicated groups read from 32 sample titles; they account for 32 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.
- GSM9209440 Abd_1 Abd
- GSM9209441 Glu_1 Glu
- GSM9209442 Abd_2 Abd
- GSM9209443 Glu_2 Glu
- GSM9209444 Thi_2 Thi
- GSM9209445 Abd_3 Abd
- GSM9209446 Thi_3 Thi
- GSM9209447 Abd_4 Abd
- GSM9209448 Thi_4 Thi
- GSM9209449 Abd_5 Abd
- GSM9209450 Glu_5 Glu
- GSM9209451 Thi_5 Thi
- GSM9209452 Abd_6 Abd
- GSM9209453 Thi_6 Thi
- GSM9209454 Abd_7 Abd
- GSM9209455 Glu_7 Glu
- GSM9209456 Thi_7 Thi
- GSM9209457 Abd_8 Abd
- GSM9209458 Glu_8 Glu
- GSM9209459 Abd_9 Abd
- GSM9209460 Thi_9 Thi
- GSM9209461 Abd_10 Abd
- GSM9209462 Glu_10 Glu
- GSM9209463 Thi_10 Thi
- GSM9209464 Abd_11 Abd
- GSM9209465 Thi_11 Thi
- GSM9209466 Abd_12 Abd
- GSM9209467 Glu_12 Glu
- GSM9209468 Abd_13 Abd
- GSM9209469 Glu_13 Glu
- GSM9209470 Abd_14 Abd
- GSM9209471 Thi_14 Thi
- GSE287627 Human Subcutaneous abdominal adipose tissue RNAseq - NYC sample 19 samples shares abd, nyc, subcutaneous, adipose
- GSE303983 Molecular responses in abdominal subcutaneous adipose tissue after a session of endurance exercise: effects of exercise intensity 90 samples shares abd, subcutaneous, 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 abd, subcutaneous, adipose
- GSE235529 snRNA-Seq from Younger and Older human abdominal subcutaneous white adipose tissue 10 samples shares abd, 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
- GSE302701 Single-nucleus RNA sequencing of human subcutaneous adipose tissue biopsies from 59 Finnish participants. 59 samples shares subcutaneous, adipose
- GSE316698 Single-nucleus RNA sequencing of human subcutaneous adipose tissue biopsies from 49 Mexican participants 49 samples shares subcutaneous, adipose
- GSE216803 Transcriptomic and Metabolomic Analyses Reveal Distinctive Metabolic Characteristics of Superficial and Deep Subcutaneous Adipose Tissues 12 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.