Dysregulation of Vitamin D and Its Signaling in Hashimoto's Thyroiditis in Korean Population
RNA-seq (gene expression) · human · 18 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
- 18 samples: 9 × Thyroid, PTC without HT vs 9 × Thyroid, PTC with HTGroups 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
- Dysregulated vitamin D signaling in Hashimoto's thyroiditis: an integrated transcriptomic study in a Korean cohortFrontiers in endocrinology · 2025
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 GSE286332_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 PRJNA1208932 and SRA study SRP556453. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 18 samples.
How we read this: 2 replicated groups read from 18 sample titles; they account for 18 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.
- GSM8723683 Thyroid, PTC without HT 1 Thyroid, PTC without HT
- GSM8723684 Thyroid, PTC without HT 2 Thyroid, PTC without HT
- GSM8723685 Thyroid, PTC without HT 3 Thyroid, PTC without HT
- GSM8723686 Thyroid, PTC without HT 4 Thyroid, PTC without HT
- GSM8723687 Thyroid, PTC without HT 5 Thyroid, PTC without HT
- GSM8723688 Thyroid, PTC without HT 6 Thyroid, PTC without HT
- GSM8723689 Thyroid, PTC without HT 7 Thyroid, PTC without HT
- GSM8723690 Thyroid, PTC without HT 8 Thyroid, PTC without HT
- GSM8723691 Thyroid, PTC without HT 9 Thyroid, PTC without HT
- GSM8723692 Thyroid, PTC with HT 1 Thyroid, PTC with HT
- GSM8723693 Thyroid, PTC with HT 2 Thyroid, PTC with HT
- GSM8723694 Thyroid, PTC with HT 3 Thyroid, PTC with HT
- GSM8723695 Thyroid, PTC with HT 4 Thyroid, PTC with HT
- GSM8723696 Thyroid, PTC with HT 5 Thyroid, PTC with HT
- GSM8723697 Thyroid, PTC with HT 6 Thyroid, PTC with HT
- GSM8723698 Thyroid, PTC with HT 7 Thyroid, PTC with HT
- GSM8723699 Thyroid, PTC with HT 8 Thyroid, PTC with HT
- GSM8723700 Thyroid, PTC with HT 9 Thyroid, PTC with HT
- GSE230424 Spatial transcriptome gene expression profile in 2 patients with Hashimoto's thyroiditis and 2 patients with papillary thyroid cancer combined with Hashimoto's thyroiditis. 4 samples shares thyroiditis, hashimoto
- GSE271896 Deep longitudinal immune profiling reveals reprogramming of memory T cells that links to B cell dysregulation with age 868 samples shares dysregulation
- GSE260603 Dissecting depression symptoms: multi-omics clustering uncovers immune-related subgroups and cell-type specific dysregulation 273 samples shares dysregulation
- GSE301390 Prediction and Characterization of Genetically-Regulated Expression of Asthma Tissues from African-Ancestry Populations 260 samples shares population
- GSE275067 Deep longitudinal immune profiling reveals reprogramming of memory T cells that links to B cell dysregulation with age. 252 samples shares dysregulation
- GSE283409 Stratifying IVF population endometria using a prognosis gradient independent of endometrial timing 195 samples shares population
- GSE264443 Dynamic gene expression analysis reveals distinct severity phases of immune and cellular dysregulation in COVID-19 189 samples shares dysregulation
- GSE327707 Sorted bulk RNA-seq profiling of human peripheral blood mononuclear cell populations across diverse in vitro immune stimuli 150 samples shares population
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.