Dexmedetomidine Inhibits Abnormal Muscle Hypertrophy of Myofascial Trigger Points via TNF-α/ NF-κB Signaling Pathway
RNA-seq (gene expression) · human · 12 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
- 12 samples: 12 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.
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 GSE215154_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 PRJNA889004 and SRA study SRP401814. 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 12 sample titles: 12 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.
- GSM6623971 Healthy participant [C1]
- GSM6623972 Healthy participant [C2]
- GSM6623973 Healthy participant [C3]
- GSM6623974 Healthy participant [C4]
- GSM6623975 Healthy participant [C5]
- GSM6623976 MTrPs participant [M1]
- GSM6623977 MTrPs participant [M2]
- GSM6623978 MTrPs participant [M3]
- GSM6623979 MTrPs participant [M4]
- GSM6623980 MTrPs participant [M5]
- GSM6623981 MTrPs participant [M6]
- GSM6623982 MTrPs participant [M7]
- GSE317789 Single-cell and spatial profiling reveal cDC2A-CXCL13+ CD8+ T-epithelial cell crosstalk and cytotoxicity through TNFRSF9 in cutaneous and mucosal lichen planus 42 samples shares tnf, nf
- GSE285099 RNA sequencing of human airway epithelial cultures from cystic fibrosis (CF) and non-CF donors exposed to tumor necrosis factor-alpha and interleukin-17 (TNFα+IL-17) for 5 hours 24 samples shares tnf, nf
- GSE296117 A single-cell RNA-seq dataset of synovial fluid from rheumatoid arthritis treated with TNF-α/JAK inhibitor 18 samples shares tnf, nf
- GSE298464 Single-cell RNA sequencing reveals ulcerative colitis patients’ response to anti-TNF-α therapy 16 samples shares tnf, nf
- GSE309430 Blood-Based Gene Signatures Associated with Therapeutic Response to Anti-TNF Therapy in Rheumatoid Arthritis: A Combined Meta-Analytical and Machine Learning Approach 8 samples shares tnf, nf
- GSE216688 Identification of a transcription factor network that regulates anti-TNF mediated IL-10 expression in human CD4+ T-cells 16 samples shares tnf, nf
- GSE254707 Single-cell transcriptomic analysis identifies infiltrating plasmacytoid dendritic cells in psoriasis epidermis 4988 samples shares nf
- GSE239775 Quantification of Systemic Inflammation by a Gene Score Uncovers Relevant Features on Acutely Decompensated Cirrhosis 1177 samples shares nf
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.