Calcitonin gene-related peptide promotes reparative function of interleukin-4 educated human macrophages via COX1/PGD2 signalling
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 GSE242543_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 PRJNA1013899 and SRA study SRP459442. 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.
- GSM7765257 patient A M(0)
- GSM7765258 patient A M(IL4)
- GSM7765259 patient A M(IL4,CGRP)
- GSM7765260 patient C M(0)
- GSM7765261 patient C M(IL4)
- GSM7765262 patient C M(IL4,CGRP)
- GSM7765263 patient E M(0)
- GSM7765264 patient E M(IL4)
- GSM7765265 patient E M(IL4,CGRP)
- GSM7765266 patient S M(0)
- GSM7765267 patient S M(IL4)
- GSM7765268 patient S M(IL4,CGRP)
- GSE328453 The PGD2/DP2 axis promotes pro-inflammatory responses but attenuates an antigen-presenting role of human basophils 24 samples shares pgd2, promotes
- GSE249576 Calcitonin gene-related peptide sustains CD8 T cell inflammatory reactions in drug -induced reactions 16 samples shares gene-related, calcitonin
- GSE249008 Calcitonin gene-related peptide sustains CD8 T cell inflammatory reactions in drug -induced reactions [CD8 Smart-seq] 12 samples shares gene-related, calcitonin
- GSE264721 Type II interleukin-4 receptor activation promotes tumor pro-gression in basal breast cancer cells via metabolic and epige-netic modulation 9 samples shares interleukin-4, promotes
- GSE249525 Calcitonin gene-related peptide sustains CD8+ T cell inflammatory reactions in drug -induced reactions [scRNA-Seq] 4 samples shares gene-related, calcitonin
- GSE300514 Affinity-based controlled release of interleukin-4 from scaffolds via biotin-avidin interactions for immunomodulation 33 samples shares interleukin-4
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.