The RNA content of plasma-derived extracellular vesicles in cerebral malaria
RNA-seq (gene expression) · human · 84 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
- 84 samples: 84 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
- The mRNA content of plasma extracellular vesicles provides a window into molecular processes in the brain during cerebral malariaScience advances · 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 GSE242856_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 PRJNA1015178 and SRA study SRP459680. 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 84 sample titles: 84 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.
- GSM7772056 32889_7_7_CM-R⁻
- GSM7772057 32889_7_3_CM-R⁻
- GSM7772058 32889_8_8_CM-R⁻
- GSM7772059 32889_8_13_CM-R⁻
- GSM7772060 32889_7_16_CM-R⁻
- GSM7772061 32889_8_2_CM-R⁻
- GSM7772062 32889_7_21_CM-R⁻
- GSM7772063 32889_7_15_CM-R⁻
- GSM7772064 32889_7_9_CM-R⁻
- GSM7772065 32889_8_17_CM-R⁻
- GSM7772066 32889_7_1_CM-R⁻
- GSM7772067 32889_7_12_CM-R⁻
- GSM7772068 32889_8_6_CM-R⁻
- GSM7772069 32889_7_23_CM-R⁻
- GSM7772070 32889_7_17_CM-R⁻
- GSM7772071 32889_8_5_CM-R⁻
- GSM7772072 32889_7_24_CM-R⁻
- GSM7772073 32889_8_1_CM-R⁻
- GSM7772074 32889_7_20_CM-R⁻
- GSM7772075 32889_8_10_CM-R⁺
- GSM7772076 32889_8_12_CM-R⁻
- GSM7772077 32889_7_19_CM-R⁺
- GSM7772078 32889_8_11_CM-R⁺
- GSM7772079 32889_7_2_CM-R⁺
- GSM7772080 32889_8_16_CM-R⁺
- GSM7772081 32889_7_4_CM-R⁻
- GSM7772082 32889_7_8_CM-R⁺
- GSM7772083 32889_8_7_CM-R⁺
- GSM7772084 32889_8_4_CM-R⁺
- GSM7772085 32889_7_10_CM-R⁻
- GSM7772086 32889_8_3_CM-R⁻
- GSM7772087 32889_7_22_CM-R⁻
- GSM7772088 32889_8_9_CM-R⁺
- GSM7772089 32889_8_14_CM-R⁺
- GSM7772090 32889_8_15_CM-R⁺
- GSM7772091 32889_7_11_CM-R⁻
- GSM7772092 32889_7_18_CM-R⁻
- GSM7772093 Rseq-48_S48_merged_L001_CM-R⁻
- GSM7772094 Rseq-38_S38_merged_L001_CM-R⁻
- GSM7772095 Rseq-12_S12_merged_L001_CM-R⁻
+ 44 more — browse all 84 samples with per-sample file links →
- GSE255775 Transcriptomic Profiling of Plasma Extracellular Vesicles Enables Reliable Annotation of the Cancer-specific Transcriptome and Molecular Subtype 319 samples shares extracellular, vesicles
- GSE259422 Transcriptomic Profiling of Plasma Extracellular Vesicles Enables Reliable Annotation of the Cancer-specific Transcriptome and Molecular Subtype (plasma_cancer) 156 samples shares extracellular, vesicles
- GSE268230 Extracellular vesicles alter trophoblast function in pregnancies complicated by COVID-19 129 samples shares extracellular, vesicles
- GSE297395 Extracellular vesicles and their RNA cargo facilitate bidirectional cross-kingdom communication between human and bacterial cells [RNA-Seq] 105 samples shares extracellular, vesicles
- GSE302211 Extracellular Vesicle Online Knowledge Explorer (EVOKE) - A guiding tool for the selection of methods to prepare extracellular vesicles from human biofluids II 73 samples shares extracellular, vesicles
- GSE260560 Transcriptomic Profiling of Plasma Extracellular Vesicles Enables Reliable Annotation of the Cancer-specific Transcriptome and Molecular Subtype (plasma_healthy) 70 samples shares extracellular, vesicles
- GSE256268 Transcriptomic Profiling of Plasma Extracellular Vesicles Enables Reliable Annotation of the Cancer-specific Transcriptome and Molecular Subtype (tumor tissues) 42 samples shares extracellular, vesicles
- GSE302210 Extracellular Vesicle Online Knowledge Explorer (EVOKE) - A guiding tool for the selection of methods to prepare extracellular vesicles from human biofluids I 37 samples shares extracellular, vesicles
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.