Recurrent Implantation Failure: Bioinformatic Discovery of Biomarkers and Identification of Metabolic Subtypes
RNA-seq (gene expression) · human · 40 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
- 40 samples: 20 × RIF vs 20 × controlGroups 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 GSE243550_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 PRJNA1018906 and SRA study SRP461696. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 40 samples.
How we read this: 2 replicated groups read from 40 sample titles; they account for 40 of them. 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.
- GSM7790813 RIF01 RIF
- GSM7790814 RIF02 RIF
- GSM7790815 RIF03 RIF
- GSM7790816 RIF04 RIF
- GSM7790817 RIF05 RIF
- GSM7790818 RIF06 RIF
- GSM7790819 RIF07 RIF
- GSM7790820 RIF08 RIF
- GSM7790821 RIF09 RIF
- GSM7790822 RIF10 RIF
- GSM7790823 RIF11 RIF
- GSM7790824 RIF12 RIF
- GSM7790825 RIF13 RIF
- GSM7790826 RIF14 RIF
- GSM7790827 RIF15 RIF
- GSM7790828 RIF16 RIF
- GSM7790829 RIF17 RIF
- GSM7790830 RIF18 RIF
- GSM7790831 RIF19 RIF
- GSM7790832 RIF20 RIF
- GSM7790833 control01 control
- GSM7790834 control02 control
- GSM7790835 control03 control
- GSM7790836 control04 control
- GSM7790837 control05 control
- GSM7790838 control06 control
- GSM7790839 control07 control
- GSM7790840 control08 control
- GSM7790841 control09 control
- GSM7790842 control10 control
- GSM7790843 control11 control
- GSM7790844 control12 control
- GSM7790845 control13 control
- GSM7790846 control14 control
- GSM7790847 control15 control
- GSM7790848 control16 control
- GSM7790849 control17 control
- GSM7790850 control18 control
- GSM7790851 control19 control
- GSM7790852 control20 control
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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.