An in situ method for identification of transcriptome-wide protein-RNA interactions in cells [in_situ_STAMP II]
RNA-seq (gene expression) · human · 14 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
- 14 samples
- 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
- High-sensitivity in situ capture of endogenous RNA-protein interactions in fixed cells and primary tissuesNature communications · 2024
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 GSE248461_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 PRJNA1044067 and SRA study SRP473696. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 14 more — browse all 14 samples with per-sample file links →
- GSE283829 In situ detection of PD1–PD-L1 interactions as a functional predictor for response to immune checkpoint inhibition in NSCLC. 27 samples shares interactions, situ
- GSE273019 A novel method for characterizing cell-cell interactions at single-cell resolution reveals unique signatures in blood T cell-monocyte complexes during infection 67 samples shares interactions, method
- GSE255844 Long-read Ribo-STAMP simultaneously measures transcription and translation at full length isoform resolution 10 samples shares stamp
- GSE276935 The activity of tertiary lymphoid structures in high grade serous ovarian cancer is governed by site, stroma, and cellular interactions 417 samples shares interactions
- GSE295224 Dual single-cell and bulk RNA sequencing reveal transcriptional profiles underlying heterogenous host-parasite interactions in human peripheral blood mononuclear cells 42 samples shares interactions
- GSE264667 Transcriptome-wide characterization of genetic perturbations 224 samples shares transcriptome-wide
- GSE240411 Identification of potential targets of FTO in GIST via transcriptome-wide RNA-seq 24 samples shares transcriptome-wide
- GSE216549 Central role of SUMOylation in the regulation of chromatin interactions and transcriptional outputs of androgen receptor in prostate cancer cells (LNCaP RNA-seq) 24 samples shares interactions
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.