← BioTransfer GEO Dataset Finder
GEO series

Characterization of DENV E-dimer-Binding Memory B cells and Antibodies

GSE314883 Homo sapiens (human) Single-cell RNA-seq 14 samples Submitted 2026/08/05 Platform GPL20795
At a glance

Single-cell RNA-seq · human · 14 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
14 samples: 4 × B cells FB donors S6, S7, S8, S9, H9, H10, H11, H12, H13, H14, H15 multiplex, vs 3 × B cells VDJ donors S1, S2, S3, S4, S5, H5, H6, H7, H8 multiplex,Groups 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
Dengue virus at the landscape scale in Cambodia: Linking climate and land use dynamics with Dengue ecology in Southeast AsiaResearch square · 2026
Summary (written by the submitters)
We investigated sE-dimer-binding memory B-cell responses in a well-characterized cohort of patients with hospitalized dengue and their subclinical household contacts. Using sE-dimer-binding B-cell staining, single-cell RNA sequencing, and ex vivo single-B-cell cultures, we defined persistence, repertoire features, and antibody functionality of sE-dimer binding MBC
Published in
Dengue virus at the landscape scale in Cambodia: Linking climate and land use dynamics with Dengue ecology in Southeast Asia
Sidhik S, Heng K, Nov K et al. · Research square 2026 · PMID 42523522 · doi:10.21203/rs.3.rs-10085402/v1
This dataset
Open GSE314883 in finder → Find more human RNA-seq datasets →
Download · which file do I need?

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.

1 · Just have a look

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.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE314883_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

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.

Raw reads on ENA ↗

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 PRJNA1393072 and SRA study SRP657693. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42523522) ↗
Study design
4 × B cells FB donors S6, S7, S8, S9, H9, H10, H11, H12, H13, H14, H15 multiplex, vs 3 × B cells VDJ donors S1, S2, S3, S4, S5, H5, H6, H7, H8 multiplex,

Supports a between-group comparison across 7 samples.

How we read this: 2 replicated groups read from 14 sample titles; they account for 7 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.

Samples in this study
Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

Share this dataset

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.