Gene Expression Profiling of Nerve Biopsies from Pure Neural Leprosy Patients
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: 16 samples, each with a distinct title — no replicated groupsGroups 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
- Gene expression profiling in pure neural leprosy: insights into pathogenesis and diagnostic biomarkersFrontiers in immunology · 2025
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 GSE287973_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 PRJNA1215390 and SRA study SRP559714. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 16 sample titles: 16 distinct titles with little repetition. 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.
- GSM8756628 R28202_vasculitis
- GSM8756629 R29490_vasculitis
- GSM8756630 R31576_pure-neural-lep
- GSM8756631 R31595_vasculitis
- GSM8756632 R31731_pure-neural-lep
- GSM8756633 R31733_pure-neural-lep
- GSM8756634 R31746_pure-neural-lep
- GSM8756635 R31771_pure-neural-lep
- GSM8756636 R31787_vasculitis
- GSM8756637 R31801_vasculitis
- GSM8756638 R31804_vasculitis
- GSM8756639 R31911_vasculitis
- GSM8756640 R31929_vasculitis
- GSM8756641 R31968_pure-neural-lep
- GSM8756642 R31980_vasculitis
- GSM8756643 R31981_pure-neural-lep
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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.