Latent EBV impairs immune cell signaling and enhances the efficacy of anti-CD3 mAb in Type 1 Diabetes.
Single-cell RNA-seq · human · 18 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Homo sapiens (human)
- Samples
- 18 samples: 18 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.
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 GSE296549_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1259961 and SRA study SRP583643. 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 18 sample titles: 18 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.
- GSM8972499 0 EBV Placebo
- GSM8972500 0 EBV Teplizumab
- GSM8972501 0 T1D Placebo
- GSM8972502 0 T1D Teplizumab
- GSM8972503 3 EBV Placebo
- GSM8972504 3 EBV Teplizumab
- GSM8972505 3 T1D Placebo
- GSM8972506 3 T1D Teplizumab
- GSM8972507 6 EBV Placebo
- GSM8972508 6 EBV Teplizumab
- GSM8972509 6 T1D Placebo
- GSM8972510 6 T1D Teplizumab
- GSM8972511 18 EBV Placebo
- GSM8972512 18 EBV Teplizumab
- GSM8972513 18 T1D Placbo
- GSM8972514 18 T1D Teplizumab
- GSM8972515 30 EBV Teplizumab
- GSM8972516 30 T1D Teplizumab
- GSE324842 Transcriptomic analysis of Primary B-cell target genes upon infection with Epstein-Barr Virus (EBV) expressing wildtype (WT) or mutant Latent Membrane Protein 1 (LMP1) 25 samples shares ebv, latent, type
- GSE295647 Catalytic inhibition of KAT6/KAT7 enhances the efficacy and overcomes primary and acquired resistance to Menin inhibitors in acute myeloid leukaemia [human RNA-seq] 36 samples shares enhances, efficacy
- GSE276620 Oncogene induced senescence and senescence-associated secretory phenotype (SASP) determines the efficacy of palbociclib in PIK3CA mutated colorectal cancer 26 samples shares efficacy, type
- GSE284615 Tumor-site directed A1R expression enhances CAR T cell function and improves efficacy against solid tumors. [human RNAseq constitutive] 10 samples shares enhances, efficacy
- GSE300177 Catalytic inhibition of KAT6/KAT7 enhances the efficacy and overcomes primary and acquired resistance to Menin inhibitors in MLL leukaemia 194 samples shares enhances, efficacy
- GSE293546 EZH2 inhibitor SHR2554 enhances the anti-tumor efficacy of HDAC inhibitor Chidamide through STAT1 in T-cell lymphoma 34 samples shares enhances, efficacy
- GSE278073 Targeting VRK2 Enhances the Efficacy of Anti-PD-1 Therapy in Hepatocellular Carcinoma by Reducing Direct Phosphorylation and Stability of MYC: CUT-TAG sequencing for MYC in hepatocellular carcinoma cells 16 samples shares enhances, efficacy
- GSE255092 Interaction between HIV-1 Tat and EBV Zta favours immune escape of B cells by downregulating HLA-ABC expression 56 samples shares ebv
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.