RNA variant assessment using transactivation and transdifferentiation
RNA-seq (gene expression) · human · 16 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
- 16 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
- RNA variant assessment using transactivation and transdifferentiationAmerican journal of human genetics · 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 GSE272900_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 PRJNA1139201 and SRA study SRP521722. 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.
+ 16 more — browse all 16 samples with per-sample file links →
- GSE311877 Genotype-phenotype single-cell transcriptomics for massive parallel assessment of genetic variants [RNAseq_mutants] 80 samples shares assessment, variant
- GSE311879 Genotype-phenotype single-cell transcriptomics for massive parallel assessment of genetic variants [RNAseq_P63noconv] 8 samples shares assessment, variant
- GSE311878 Genotype-phenotype single-cell transcriptomics for massive parallel assessment of genetic variants [RNAseq_MYOD] 8 samples shares assessment, variant
- GSE289858 Massively parallel assessment of gene regulatory activity at human cortical structure associated variants 66 samples shares assessment, variant
- GSE271378 Exploring host cellular responses to SARS-CoV-2 variants using RNA sequencing of infected human airway epithelial cells 44 samples shares variant
- GSE300872 Investigations into the biological activity of avobenzone as part of a Next Generation Risk Assessment 328 samples shares assessment
- GSE267521 The MUC5B IPF risk variant promotes a distal airway secretory phenotype and loss of alveolar markers 310 samples shares variant
- GSE271332 High-Throughput Transcriptomics Toxicity Assessment of Eleven Data-Poor Bisphenol A Alternatives 286 samples shares assessment
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.