Glycerophospholipid remodeling is critical for orthoflavivirus infection
RNA-seq (gene expression) · human · 63 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
- 63 samples: 63 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
- Glycerophospholipid remodeling is critical for orthoflavivirus infectionNature communications · 2024
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 GSE264306_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 PRJNA1101937 and SRA study SRP502597. 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 63 sample titles: 63 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.
- GSM8215790 Mock 12h (1) [A_1]
- GSM8215791 Mock 24h (1) [A_2]
- GSM8215792 Mock 48h (1) [A_3]
- GSM8215793 Mock 12h (2) [A_4]
- GSM8215794 Mock 24h (2) [A_5]
- GSM8215795 Mock 48h (2) [A_6]
- GSM8215796 Mock 12h (3) [A_7]
- GSM8215797 Mock 24h (3) [A_8]
- GSM8215798 Mock 48h (3) [A_9]
- GSM8215799 DENV 12h (1) [A_10]
- GSM8215800 DENV 24h (1) [A_11]
- GSM8215801 DENV 48h (1) [A_12]
- GSM8215802 DENV 12h (2) [A_13]
- GSM8215803 DENV 24h (2) [A_14]
- GSM8215804 DENV 48h (2) [A_15]
- GSM8215805 DENV 12h (3) [A_16]
- GSM8215806 DENV 24h (3) [A_17]
- GSM8215807 DENV 48h (3) [A_18]
- GSM8215808 TBEV 12h (1) [A_19]
- GSM8215809 TBEV 24h (1) [A_20]
- GSM8215810 TBEV 48h (1) [A_21]
- GSM8215811 TBEV 12h (2) [A_22]
- GSM8215812 TBEV 24h (2) [A_23]
- GSM8215813 TBEV 48h (2) [A_24]
- GSM8215814 TBEV 12h (3) [B_25]
- GSM8215815 TBEV 24h (3) [B_26]
- GSM8215816 TBEV 48h (3) [B_27]
- GSM8215817 WNV 12h (1) [B_28]
- GSM8215818 WNV 24h (1) [B_29]
- GSM8215819 WNV 48h (1) [B_30]
- GSM8215820 WNV 12h (2) [B_31]
- GSM8215821 WNV 24h (2) [B_32]
- GSM8215822 WNV 48h (2) [B_33]
- GSM8215823 WNV 12h (3) [B_34]
- GSM8215824 WNV 24h (3) [B_35]
- GSM8215825 WNV 48h (3) [B_36]
- GSM8215826 Mock 12h (4) [B_37]
- GSM8215827 Mock 24h (4) [B_38]
- GSM8215828 Mock 48h (4) [B_39]
- GSM8215829 Mock 12h (5) [B_40]
+ 23 more — browse all 63 samples with per-sample file links →
- GSE249319 Single-cell profiling reveals a critical role for hypoxia-inducible factor-1a signaling in leukocytes during human craniotomy infection 14 samples shares critical
- GSE249697 Transcriptional changes of the extracellular matrix in chronic thromboembolic pulmonary hypertension governs right ventricle remodeling and recovery 135 samples shares remodeling
- GSE254249 Remodeling of T and endothelial cells during total neoadjuvant therapy in rectal cancer 92 samples shares remodeling
- GSE327289 Cerebrovascular Single-Nucleus RNA-Seq Reveals Heat Shock Activation and Vascular Remodeling in Alzheimer’s Disease and Primary Tauopathies 76 samples shares remodeling
- GSE284467 Multi-omic Sequencing of Intermediate to High-Risk Cutaneous Squamous Cell Carcinoma Identifies Critical Genes and Expression Patterns Associated with Disease and Poor Outcomes 75 samples shares critical
- GSE314812 Divergent clonal evolution and tumor microenvironment remodeling shape gastric cancer peritoneal metastasis 55 samples shares remodeling
- GSE290679 Metabolic Adaptations Rewire CD4 T Cells in a Subset-Specific Manner in Human Critical Illness with and without Sepsis 47 samples shares critical
- GSE306950 Dysregulated NK Cell Activation and Myeloid-Lymphoid Imbalance Underpin COPD Progression: Insights from High-Dimensional Immune Profiling and Smoking-Induced Immune Remodeling 35 samples shares remodeling
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.