Divergent transcriptomic profiles in depressed individuals with hyper- and hypophagia implicating inflammatory status
RNA-seq (gene expression) · human · 78 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
- 78 samples: 38 conditions, mostly in duplicateGroups 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
- Divergent transcriptomic profiles in depressed individuals with hyper- and hypophagia implicating inflammatory statusJournal of psychiatric research · 2024
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 GSE231347_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 PRJNA964446 and SRA study SRP435289. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 76 samples.
How we read this: 38 replicated groups read from 78 sample titles; they account for 76 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.
- GSM7265466 G16195-1-T0 G16195-1-T
- GSM7265467 G16195-1-T105 G16195-1-T
- GSM7265468 G16195-2-T0 G16195-2-T
- GSM7265469 G16195-2-T105 G16195-2-T
- GSM7265470 G16196-1-T0 G16196-1-T
- GSM7265471 G16196-1-T105 G16196-1-T
- GSM7265472 G16196-2-T0 G16196-2-T
- GSM7265473 G16196-2-T105 G16196-2-T
- GSM7265474 G16201-1-T0 G16201-1-T
- GSM7265475 G16201-1-T105 G16201-1-T
- GSM7265476 G16201-2-T0 G16201-2-T
- GSM7265477 G16201-2-T105 G16201-2-T
- GSM7265478 G16207-1-T0 G16207-1-T
- GSM7265479 G16207-1-T105 G16207-1-T
- GSM7265480 G16207-2-T0 G16207-2-T
- GSM7265481 G16207-2-T105 G16207-2-T
- GSM7265482 G16210-1-T0 G16210-1-T
- GSM7265483 G16210-1-T105 G16210-1-T
- GSM7265484 G16210-2-T0 G16210-2-T
- GSM7265485 G16210-2-T105 G16210-2-T
- GSM7265486 G16211-1-T0 G16211-1-T
- GSM7265487 G16211-1-T105 G16211-1-T
- GSM7265488 G16211-2-T0 G16211-2-T
- GSM7265489 G16211-2-T105 G16211-2-T
- GSM7265490 G16214-1-T0
- GSM7265491 G16214-2-T0 G16214-2-T
- GSM7265492 G16214-2-T105 G16214-2-T
- GSM7265493 G16220-1-T0 G16220-1-T
- GSM7265494 G16220-1-T105 G16220-1-T
- GSM7265495 G16220-2-T0 G16220-2-T
- GSM7265496 G16220-2-T105 G16220-2-T
- GSM7265497 G16222-1-T0 G16222-1-T
- GSM7265498 G16222-1-T105 G16222-1-T
- GSM7265499 G16222-2-T0 G16222-2-T
- GSM7265500 G16222-2-T105 G16222-2-T
- GSM7265501 G16233-1-T0 G16233-1-T
- GSM7265502 G16233-1-T105 G16233-1-T
- GSM7265503 G16233-2-T0 G16233-2-T
- GSM7265504 G16233-2-T105 G16233-2-T
- GSM7265505 G16237-1-T0 G16237-1-T
+ 38 more — browse all 78 samples with per-sample file links →
- GSE318816 Blood-based Molecular Endotyping of Fibrotic Hypersensitivity Pneumonitis Identifies Two Immune Subtypes with Divergent Clinical Outcomes 126 samples shares divergent, hyper
- GSE283368 Parathyroidectomy Restores Skeletal Muscle Strength and Transcriptome in Individuals with Primary Hyperparathyroidism 36 samples shares individuals, hyper
- GSE330231 Divergent signaling profiles in mTOR gain-of-function Smith-Kingsmore syndrome and TSC2 deficiency 12 samples shares divergent, profiles
- GSE280232 Divergent clinical and immunologic outcomes based on STK11 co-mutation status in resectable KRAS-mutant lung cancers following neoadjuvant immune checkpoint blockade 42 samples shares divergent, status
- GSE271520 Obese individuals exhibit distinct temporal gene expression dynamics in response to influenza vaccination 489 samples shares individuals
- GSE290074 Evolutionarily divergent transcriptomic programs in ovarian folliculogenesis across mice, monkeys and humans [Human] 297 samples shares divergent
- GSE274680 Inflammation and lymphocyte activation during longitudinal progression to rheumatoid arthritis in at-risk individuals 243 samples shares individuals
- GSE278885 In vivo response of the transcriptome of human immune cells to vitamin D3 supplementation in a cohort of 45 individuals 90 samples shares individuals
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.