Effect of Lactate dehydrogenase inhibitor (LDHi; GSK2837808A) on BCG vaccine induced trained immunity in vitro
RNA-seq (gene expression) · human · 28 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
- 28 samples: 28 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.
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 GSE262099_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 PRJNA1090316 and SRA study SRP496876. 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 28 sample titles: 28 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.
- GSM8157518 Donor_A_RPMI_RNAseq
- GSM8157519 Donor_B_RPMI_RNAseq
- GSM8157520 Donor_C_RPMI_RNAseq
- GSM8157521 Donor_D_RPMI_RNAseq
- GSM8157522 Donor_A_RPMI_GSK_RNAseq
- GSM8157523 Donor_B_RPMI_GSK_RNAseq
- GSM8157524 Donor_C_RPMI_GSK_RNAseq
- GSM8157525 Donor_D_RPMI_GSK_RNAseq
- GSM8157526 Donor_A_BCG_RNAseq
- GSM8157527 Donor_B_BCG_RNAseq
- GSM8157528 Donor_C_BCG_RNAseq
- GSM8157529 Donor_D_BCG_RNAseq
- GSM8157530 Donor_A_BCG_GSK_RNAseq
- GSM8157531 Donor_B_BCG_GSK_RNAseq
- GSM8157532 Donor_C_BCG_GSK_RNAseq
- GSM8157533 Donor_D_BCG_GSK_RNAseq
- GSM8727494 Donor_E_RPMI_RNAseq
- GSM8727495 Donor_F_RPMI_RNAseq
- GSM8727496 Donor_G_RPMI_RNAseq
- GSM8727497 Donor_H_RPMI_RNAseq
- GSM8727498 Donor_E_LPS_RNAseq
- GSM8727499 Donor_F_LPS_RNAseq
- GSM8727500 Donor_G_LPS_RNAseq
- GSM8727501 Donor_H_LPS_RNAseq
- GSM8727502 Donor_E_LPS_GSK_RNAseq
- GSM8727503 Donor_F_LPS_GSK_RNAseq
- GSM8727504 Donor_G_LPS_GSK_RNAseq
- GSM8727505 Donor_H_LPS_GSK_RNAseq
- GSE262098 Transcriptomes during monocyte-to-macrophage differentiation and BCG induced trained immunity in vitro 21 samples shares bcg, immunity, induced
- GSE262097 Remodeling of Histone 3 Lysine 18 lactylation (H3K18lac) in monocytes-to-macrophage differentiation and induction of Trained Immunity by BCG in vitro 37 samples shares bcg, immunity
- GSE287540 Transcriptomic and proteomic characterization of cell and protein biomarkers of checkpoint inhibitor-induced liver injury [bulk RNA-seq] 128 samples shares inhibitor, induced
- GSE287541 Transcriptomic and proteomic characterization of cell and protein biomarkers of checkpoint inhibitor-induced liver injury [scRNA-seq] 92 samples shares inhibitor, induced
- GSE296680 Using plasma cell-free mRNA to profile immune response and myocardial damage in immune checkpoint inhibitor-induced myocarditis 26 samples shares inhibitor, induced
- GSE280372 ETC-501 is a Brain Penetrant MNK Kinase Inhibitor that Potentiates TMZ-Induced Senescence and Sensitizes Glioblastoma Cells to Senolytic Therapy 12 samples shares inhibitor, induced
- GSE224098 Lactate dehydrogenase B noncanonically promotes ferroptosis defense in KRAS-driven lung cancer 12 samples shares dehydrogenase, lactate
- GSE270287 DNA damage induced by G-quadruplex ligand PyBI and its synthetic lethality with DNA repair inhibitors in cancer cells 19 samples shares inhibitor, induced
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.