Multidimensional Analysis of Twin Sets During an Intensive Week-Long Meditation Retreat: A Pilot Study
RNA-seq (gene expression) · human · 47 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
- 47 samples: 47 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
- Multidimensional Analysis of Twin Sets During an Intensive Week-Long Meditation Retreat: A Pilot StudyMindfulness · 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 GSE252632_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 PRJNA1061091 and SRA study SRP481432. 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 47 sample titles: 47 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.
- GSM8004212 Twin_set_1, subject 4000, baseline group, Day0
- GSM8004213 Twin_set_1, subject 4001, baseline group, Day0
- GSM8004214 Twin_set_4, subject 4002, baseline group, Day0
- GSM8004215 Twin_set_4, subject 4003, baseline group, Day0
- GSM8004216 Twin_set_6, subject 4004, baseline group, Day0
- GSM8004217 Twin_set_2, subject 4006, baseline group, Day0
- GSM8004218 Twin_set_5, subject 4007, baseline group, Day0
- GSM8004219 Twin_set_5, subject 4008, baseline group, Day0
- GSM8004220 Twin_set_3, subject 4009, baseline group, Day0
- GSM8004221 Twin_set_3, subject 4010, baseline group, Day0
- GSM8004222 Twin_set_2, subject 4011, baseline group, Day0
- GSM8004223 Twin_set_6, subject 4012, baseline group, Day0
- GSM8004224 Twin_set_1, subject 4000, T1 group, Day3
- GSM8004225 Twin_set_1, subject 4001, T1 group, Day3
- GSM8004226 Twin_set_4, subject 4002, T1 group, Day3
- GSM8004227 Twin_set_4, subject 4003, T1 group, Day3
- GSM8004228 Twin_set_6, subject 4004, T1 group, Day3
- GSM8004229 Twin_set_2, subject 4006, T1 group, Day3
- GSM8004230 Twin_set_5, subject 4007, T1 group, Day3
- GSM8004231 Twin_set_5, subject 4008, T1 group, Day3
- GSM8004232 Twin_set_3, subject 4009, T1 group, Day3
- GSM8004233 Twin_set_3, subject 4010, T1 group, Day3
- GSM8004234 Twin_set_2, subject 4011, T1 group, Day3
- GSM8004235 Twin_set_6, subject 4012, T1 group, Day3
- GSM8004236 Twin_set_1, subject 4000, T2 group, Day5
- GSM8004237 Twin_set_1, subject 4001, T2 group, Day5
- GSM8004238 Twin_set_4, subject 4002, T2 group, Day5
- GSM8004239 Twin_set_4, subject 4003, T2 group, Day5
- GSM8004240 Twin_set_6, subject 4004, T2 group, Day5
- GSM8004241 Twin_set_2, subject 4006, T2 group, Day5
- GSM8004242 Twin_set_5, subject 4007, T2 group, Day5
- GSM8004243 Twin_set_3, subject 4009, T2 group, Day5
- GSM8004244 Twin_set_3, subject 4010, T2 group, Day5
- GSM8004245 Twin_set_2, subject 4011, T2 group, Day5
- GSM8004246 Twin_set_6, subject 4012, T2 group, Day5
- GSM8004247 Twin_set_1, subject 4000, T3 group, Day7
- GSM8004248 Twin_set_1, subject 4001, T3 group, Day7
- GSM8004249 Twin_set_4, subject 4002, T3 group, Day7
- GSM8004250 Twin_set_4, subject 4003, T3 group, Day7
- GSM8004251 Twin_set_6, subject 4004, T3 group, Day7
+ 7 more — browse all 47 samples with per-sample file links →
- GSE310957 DeCAF redefines fibroblast states uncovering multidimensional tumor-stroma relationships driving clinical tumor progression and immunotherapy response [RNA-Seq] 129 samples shares multidimensional
- GSE330022 Multidimensional Exposure Architecture Shapes Vaping-Associated Transcriptomic Dysregulation in Oral Epithelium 83 samples shares multidimensional
- GSE254145 Multidimensional analysis of patient-matched primary and recurrent glioblastoma identifies microglial FCGR1A (CD64) and other FCGRs as contributors of tumor recurrence [seq] 79 samples shares multidimensional
- GSE249898 Multidimensional analysis reveals innate and adaptive immune features associated with toxicities in patients receiving checkpoint inhibitor therapy 72 samples shares multidimensional
- GSE271301 Multidimensional OMICs reveal ARID1A orchestrated control of DNA damage, splicing, and cell cycle in normal and malignant urothelial cells [RNA-seq] 28 samples shares multidimensional
- GSE304607 Multidimensional Deep Receptor Scanning Reveals Constraints on GPCR Biosynthesis [RNA-seq] 6 samples shares multidimensional
- GSE311788 DeCAF redefines fibroblast states uncovering multidimensional tumor-stroma relationships driving clinical tumor progression and immunotherapy response [scRNA-Seq] 6 samples shares multidimensional
- GSE254875 Multidimensional analysis of patient-matched primary and recurrent glioblastoma identifies microglial FCGR1A (CD64) and other FCGRs as contributors of tumor recurrence 147 samples shares multidimensional
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.