Unravelling the transcriptome of the human tuberculosis lesion and its clinical implications
RNA-seq (gene expression) · human · 48 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
- 48 samples: 48 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
- Unravelling the transcriptome of the human tuberculosis lesion and its clinical implicationsNature communications · 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 GSE184537_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 PRJNA764935 and SRA study SRP338081. 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 48 sample titles: 48 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.
- GSM5592121 Lung, SH.TBL01C
- GSM5592122 Lung, SH.TBL01I
- GSM5592123 Lung, SH.TBL01E
- GSM5592125 Lung, SH.TBL01H
- GSM5592126 Lung, SH.TBL02I
- GSM5592127 Lung, SH.TBL02E
- GSM5592129 Lung, SH.TBL02H
- GSM5592130 Lung, SH.TBL03C
- GSM5592131 Lung, SH.TBL03I
- GSM5592132 Lung, SH.TBL03E
- GSM5592133 Lung, SH.TBL04C
- GSM5592134 Lung, SH.TBL04I
- GSM5592135 Lung, SH.TBL04E
- GSM5592137 Lung, SH.TBL04H
- GSM5592138 Lung, SH.TBL05C
- GSM5592139 Lung, SH.TBL05I
- GSM5592140 Lung, SH.TBL05E
- GSM5592142 Lung, SH.TBL05H
- GSM5592143 Lung, SH.TBL06C
- GSM5592144 Lung, SH.TBL06E
- GSM5592146 Lung, SH.TBL06H
- GSM5592147 Lung, SH.TBL07I
- GSM5592148 Lung, SH.TBL07E
- GSM5592150 Lung, SH.TBL07H
- GSM5592151 Lung, SH.TBL08I
- GSM5592152 Lung, SH.TBL08E
- GSM5592154 Lung, SH.TBL08H
- GSM5592155 Lung, SH.TBL09I
- GSM5592156 Lung, SH.TBL09E
- GSM5592158 Lung, SH.TBL09H
- GSM5592159 Lung, SH.TBL10I
- GSM5592160 Lung, SH.TBL10E
- GSM5592162 Lung, SH.TBL10H
- GSM5592163 Lung, SH.TBL11C
- GSM5592164 Lung, SH.TBL11I
- GSM5592165 Lung, SH.TBL11E
- GSM5592167 Lung, SH.TBL11H
- GSM5592168 Lung, SH.TBL13I
- GSM5592169 Lung, SH.TBL13E
- GSM5592171 Lung, SH.TBL13H
+ 8 more — browse all 48 samples with per-sample file links →
- GSE263733 Single-cell transcriptome analysis reveals subtype-specific clonal evolution and microenvironmental changes in liver metastasis of pancreatic adenocarcinoma and their clinical implications 218 samples shares implications, clinical
- GSE3193 Breast Tumor Clinical Implications 85 samples shares implications, clinical
- GSE49711 RNA-Seq reveals an unprecedented complexity of the neuroblastoma transcriptome and is suitable for clinical endpoint prediction [RNA-Seq] 498 samples shares clinical
- GSE328391 Airway immune signatures of protection and disease progression in recent human tuberculosis household contacts [bulk RNA-seq] 125 samples shares tuberculosis
- GSE327577 Faecalibacterium prausnitzii EXL01 for the Maintenance of Steroid-induced Clinical Response or Remission in Patients with Crohn’s Disease: a first in human trial 43 samples shares clinical
- GSE297413 Genomic and transcriptomic determinants of clinical outcomes in patients with AML and DNMT3A mutations 264 samples shares clinical
- GSE244827 Immunologic changes are detectable in the peripheral blood transcriptome of clinically asymptomatic Chagas cardiomyopathy patients 33 samples shares clinical
- GSE269009 RNA-seq of monocyte derived macrophages and dendritic cells in a Peruvian Tuberculosis cohort 227 samples shares tuberculosis
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.