NICO Myriad system Improves sample quality for molecular pathology assays
RNA-seq (gene expression) · human · 29 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
- 29 samples: 16 × ST-FF vs 13 × NICO-FFGroups 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.
- Paper
- NICO Myriad Automated Preservation System improves meningioma sample quality for molecular pathology assaysJournal of neuropathology and experimental neurology · 2026
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 GSE298049_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 PRJNA1267168 and SRA study SRP588016. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 29 samples.
How we read this: 2 replicated groups read from 29 sample titles; they account for 29 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.
- GSM9005923 NICO-FF07171890 NICO-FF
- GSM9005924 NICO-FF07172300 NICO-FF
- GSM9005925 NICO-FF07788695 NICO-FF
- GSM9005926 NICO-FF07788835 NICO-FF
- GSM9005927 NICO-FF07788864 NICO-FF
- GSM9005928 NICO-FF07789016 NICO-FF
- GSM9005929 NICO-FF07789077 NICO-FF
- GSM9005930 NICO-FF07793989 NICO-FF
- GSM9005931 NICO-FF07794023 NICO-FF
- GSM9005932 NICO-FF07794056 NICO-FF
- GSM9005933 NICO-FF07794057 NICO-FF
- GSM9005934 NICO-FF07794260 NICO-FF
- GSM9005935 NICO-FF07794443 NICO-FF
- GSM9005936 ST-FF07171997 ST-FF
- GSM9005937 ST-FF07172093 ST-FF
- GSM9005938 ST-FF07172226 ST-FF
- GSM9005939 ST-FF07172290 ST-FF
- GSM9005940 ST-FF07172307 ST-FF
- GSM9005941 ST-FF07173266 ST-FF
- GSM9005942 ST-FF07789103 ST-FF
- GSM9005943 ST-FF07789213 ST-FF
- GSM9005944 ST-FF07794000 ST-FF
- GSM9005945 ST-FF07794019 ST-FF
- GSM9005946 ST-FF07794048 ST-FF
- GSM9005947 ST-FF07794121 ST-FF
- GSM9005948 ST-FF07794133 ST-FF
- GSM9005949 ST-FF07794164 ST-FF
- GSM9005950 ST-FF07794178 ST-FF
- GSM9005951 ST-FF07794205 ST-FF
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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.