RNA Sequencing Facilitates Quantitative Analysis of Transcriptomes in Human Normal and Cancerous Tissues
RNA-seq (gene expression) · human · 26 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
- 26 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.
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 GSE77661_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 PRJNA311161 and SRA study SRP069760. 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.
+ 26 more — browse all 26 samples with per-sample file links →
- GSE216340 Next Generation Sequencing Facilitates Quantitative Analysis of Ocular Adnexal Lymphoma and inflammation Transcriptomes 30 samples shares transcriptomes, quantitative, facilitates
- GSE226821 Next Generation Sequencing Facilitates Quantitative Analysis of transcriptomes in CTR-KD ARP-1 cells and LILRB1-KD ARP-1 cells sorted from the bone marrow of NSG mice transplanted with these cells 16 samples shares transcriptomes, quantitative, facilitates
- GSE293585 Next Generation Sequencing Facilitates Quantitative Analysis of 77-39 in ovarian cancer Transcriptomes 12 samples shares transcriptomes, quantitative, facilitates
- GSE285448 Next Generation sequencing Facilitates Quantitative Analysis of α-KG and control Transcriptomes in MKN74 and AGS cell lines 12 samples shares transcriptomes, quantitative, facilitates
- GSE114742 Next Generation Sequencing (NGS) Facilitates Quantitative Analysis of Non-silencing Control and EP300 Knockdown Transcriptomes 12 samples shares transcriptomes, quantitative, facilitates
- GSE191120 Next Generation Sequencing Facilitates Quantitative Analysis of Hypertrophic Cardiomyopathy/Healthy control Left Ventricular Transcriptomes 10 samples shares transcriptomes, quantitative, facilitates
- GSE276640 Next Generation Sequencing Facilitates Quantitative Analysis of Lactic acid Treated Human Treg cells Transcriptomes 10 samples shares transcriptomes, quantitative, facilitates
- GSE275087 Next-Generation Sequencing Facilitates Quantitative Analysis of Control and BET bromodomain Inhibitor-treated Uterine Leiomyosarcoma Cell Transcriptome 12 samples shares quantitative, facilitates
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.