AS01-adjuvanted vaccine promotes functional and epigenetic modifications in monocytes [scRNA-seq]
Single-cell RNA-seq · human · 31 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Homo sapiens (human)
- Samples
- 31 samples: 5 conditions, mostly with about 7 replicates eachGroups 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
- Functional and epigenetic changes in monocytes from adults immunized with an AS01-adjuvanted vaccineScience translational medicine · 2024
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 GSE244793_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 PRJNA1024905. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 31 samples.
How we read this: 5 replicated groups read from 31 sample titles; they account for 31 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.
- GSM7829772 CD3+ depleted, epigenetic: GEX, D0, S3 GEX, D0, S
- GSM7829773 CD3+ depleted, epigenetic: GEX, D180, S3 GEX, D180, S
- GSM7829774 CD3+ depleted, epigenetic: GEX, D32, S3 GEX, D32, S
- GSM7829775 CD3+ depleted, epigenetic: GEX, D44, S3 GEX, D44, S
- GSM7829776 CD3+ depleted, epigenetic: GEX, D0, S7 GEX, D0, S
- GSM7829777 CD3+ depleted, epigenetic: GEX, D180, S7 GEX, D180, S
- GSM7829778 CD3+ depleted, epigenetic: GEX, D32, S7 GEX, D32, S
- GSM7829779 CD3+ depleted, epigenetic: GEX, D44, S7 GEX, D44, S
- GSM7829780 CD3+ depleted, epigenetic: GEX, D0, S8 GEX, D0, S
- GSM7829781 CD3+ depleted, epigenetic: GEX, D180, S8 GEX, D180, S
- GSM7829782 CD3+ depleted, epigenetic: GEX, D32, S8 GEX, D32, S
- GSM7829783 CD3+ depleted, epigenetic: GEX, D44, S8 GEX, D44, S
- GSM7829784 CD3+ depleted, epigenetic: GEX, D60, S8 GEX, D60, S
- GSM7829785 CD3+ depleted, epigenetic: GEX, D0, S9 GEX, D0, S
- GSM7829786 CD3+ depleted, epigenetic: GEX, D180, S9 GEX, D180, S
- GSM7829787 CD3+ depleted, epigenetic: GEX, D32, S9 GEX, D32, S
- GSM7829788 CD3+ depleted, epigenetic: GEX, D44, S9 GEX, D44, S
- GSM7829789 CD3+ depleted, epigenetic: GEX, D0, S12 GEX, D0, S
- GSM7829790 CD3+ depleted, epigenetic: GEX, D180, S12 GEX, D180, S
- GSM7829791 CD3+ depleted, epigenetic: GEX, D32, S12 GEX, D32, S
- GSM7829792 CD3+ depleted, epigenetic: GEX, D44, S12 GEX, D44, S
- GSM7829793 CD3+ depleted, epigenetic: GEX, D60, S12 GEX, D60, S
- GSM7829794 CD3+ depleted, epigenetic: GEX, D0, S14 GEX, D0, S
- GSM7829795 CD3+ depleted, epigenetic: GEX, D180, S14 GEX, D180, S
- GSM7829796 CD3+ depleted, epigenetic: GEX, D32, S14 GEX, D32, S
- GSM7829797 CD3+ depleted, epigenetic: GEX, D44, S14 GEX, D44, S
- GSM7829798 CD3+ depleted, epigenetic: GEX, D60, S14 GEX, D60, S
- GSM7829799 CD3+ depleted, epigenetic: GEX, D0, S19 GEX, D0, S
- GSM7829800 CD3+ depleted, epigenetic: GEX, D180, S19 GEX, D180, S
- GSM7829801 CD3+ depleted, epigenetic: GEX, D32, S19 GEX, D32, S
- GSM7829802 CD3+ depleted, epigenetic: GEX, D44, S19 GEX, D44, S
- GSE234181 Long-term multi-modal recording reveals epigenetic adaptation routes in dormant breast cancer cells [scRNA-Seq] 184 samples shares epigenetic, scrna-seq
- GSE295173 Multi-modal single-cell sequencing reveals network transition in circulating monocytes that aligns with faster recovery in trauma patients and favors a response to M-CSF [scRNA-Seq] 30 samples shares monocytes, scrna-seq
- GSE280639 Multichrome encoding-based multiplexed, spatially resolved imaging reveals single-cell RNA epigenetic modifications heterogeneity 21 samples shares modifications, epigenetic
- GSE318418 Immunosuppressive monocytes are enriched in hepatocellular carcinoma patients with liver dysfunction in a phase II trial of combination sorafenib and nivolumab [scRNA-Seq] 16 samples shares monocytes, scrna-seq
- GSE254521 Epigenetic priming promotes acquisition of TKI resistance and oncogene amplification in human lung cancer 146 samples shares epigenetic, promotes
- GSE294235 Rheumatoid Arthritis circulating CD14+ monocytes are epigenetically primed [ChIP-seq] 75 samples shares epigenetic, monocytes
- GSE290274 KLF5 modulates epigenetic modifications driving human pancreatic ductal adenocarcinoma metastasis [Multiome] 16 samples shares modifications, epigenetic
- GSE205672 Transcriptomes of human PBMCs and monocytes in sepsis patients 460 samples shares monocytes
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.