Characterization of an Antagonistic Antibody reactive to human and mouse TNFR2 with Anti-tumor Capacity
RNA-seq (gene expression) · mouse · 9 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
- Mus musculus (mouse)
- Samples
- 9 samples: 9 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.
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 GSE342477_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 PRJNA1506321 and SRA study SRP723471. 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 9 sample titles: 9 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.
- GSM9931209 0_R
- GSM9931210 439_R
- GSM9931211 441_R
- GSM9931212 450_R
- GSM9931213 434_R
- GSM9931214 436_R
- GSM9931215 437_R
- GSM9931216 449_R
- GSM9931217 435_R
- GSE239473 Unleashing natural IL-18 activity using an anti-IL-18BP blocker antibody induces potent immune stimulation and anti-tumor effects 12 samples shares anti-tumor, antibody
- GSE333494 Hippocampal CA3 Nex+ neuronal TNFR2 alleviates chronic neuropathic pain by sex-dependently engaging opioid and endocannabinoid pathways 26 samples shares tnfr2
- GSE330629 A humanized monoclonal antibody targeting human ENPP1, an ectonucleotidase expressed in the diseased human kidney, enhances tubular proliferation and kidney repair and is safe in non-human primates 24 samples shares antibody
- GSE293874 Anchored screening identifies transcription factor blueprints underlying dendritic cell diversity and subset-specific anti-tumor immunity [mouse bulk RNA-seq] 167 samples shares anti-tumor
- GSE259380 TG6050, an oncolytic vaccinia virus encoding interleukin-12 and anti-CTLA-4 antibody induces tumor regression through profound tumor microenvironment remodeling and strong antitumor adaptive immune response [RNA-seq] 149 samples shares antibody
- GSE330642 A humanized monoclonal antibody targeting human ENPP1, an ectonucleotidase expressed in the diseased human kidney, enhances tubular proliferation and kidney repair and is safe in non-human primates [scRNA-seq] 11 samples shares antibody
- GSE278990 Single-cell screens identify ADAM12 as a fibroblast checkpoint impeding anti-tumor immunity 73 samples shares anti-tumor
- GSE293291 GIPR-Ab/GLP-1 Peptide-antibody Conjugate Requires CNS GIPRs and GLP-1Rs to Engage Anorexigenic Circuitry for Additive Weight Loss in Obese Mice 60 samples shares antibody
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.