GABARAPs proteins modulate FVIII secretion in molecule-specific manner via energy related pathways
RNA-seq (gene expression) · human · 30 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
- 30 samples: 30 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 GSE269206_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 PRJNA1120569 and SRA study SRP512083. 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 30 sample titles: 30 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.
- GSM8308569 Sample 1_#105 CANX SKO - #1
- GSM8308570 Sample 2_#105 CANX SKO - #2
- GSM8308571 Sample 3_#105 CANX SKO - #3
- GSM8308572 Sample 4_#108 GABA L2 SKO - #1
- GSM8308573 Sample 5_#108 GABA L2 SKO - #2
- GSM8308574 Sample 6_#108 GABA L2 SKO - #3
- GSM8308575 Sample 7_#29 LMAN1 SKO - #1
- GSM8308576 Sample 8_#29 LMAN1 SKO - #2
- GSM8308577 Sample 9_#29 LMAN1 SKO - #3
- GSM8308578 Sample 10_#36 GABA L1 SKO -#1
- GSM8308579 Sample 11_#36 GABA L1 SKO -#2
- GSM8308580 Sample 12_#36 GABA L1 SKO -#3
- GSM8308581 Sample 13_#60 ATG 7 SKO - #1
- GSM8308582 Sample 14_#60 ATG 7 SKO - #2
- GSM8308583 Sample 15_#60 ATG 7 SKO - #3
- GSM8308584 Sample 16_#83 CALR SKO - #1
- GSM8308585 Sample 17_#83 CALR SKO - #2
- GSM8308586 Sample 18_#83 CALR SKO - #3
- GSM8308587 Sample 19_#89 MCFD2 SKO - #1
- GSM8308588 Sample 20_#89 MCFD2 SKO - #2
- GSM8308589 Sample 21_#89 MCFD2 SKO - #3
- GSM8308590 Sample 22_#96 GABA SKO - #1
- GSM8308591 Sample 23_#96 GABA SKO - #2
- GSM8308592 Sample 24_#96 GABA SKO - #3
- GSM8308593 Sample 25_HEK 28 #1
- GSM8308594 Sample 26_HEK 28 #2
- GSM8308595 Sample 27_HEK 28 #3
- GSM8308596 Sample 28_HEK par #1
- GSM8308597 Sample 29_HEK par #2
- GSM8308598 Sample 30_HEK par #3
- GSE253647 Bone morphogenetic protein increases tau phosphorylation and secretion in tauopathies in an APOE dependent manner 7 samples shares secretion, manner
- GSE117633 RNA-binding protein A1CF modulates plasma triglyceride levels through posttranscriptional regulation of stress-induced VLDL secretion 4 samples shares secretion, modulate
- GSE277028 Secretory IgA binding to FCRL3 triggers shared inflammatory cytokine secretion by human regulatory T cells and effector T cells 72 samples shares secretion
- GSE241914 Therapy-induced Secretion of Spliceosomal Components Mediates Pro-Survival Crosstalk Between Ovarian Cancer Cells 60 samples shares secretion
- GSE289787 Candida albicans and Staphylococcus aureus reciprocally promote their virulence factor secretion and pro-inflammatory effects 44 samples shares secretion
- GSE311566 Mechanistic insights into PFAS-induced effects on B lymphocyte activation and antibody secretion [PBMCs] 41 samples shares secretion
- GSE311234 Mechanistic insights into PFAS-induced effects on B lymphocyte activation and antibody secretion 36 samples shares secretion
- GSE298790 Pulsatile stretch stimulates endothelial PDGFB secretion to maintain arterial vascular smooth muscle 33 samples shares secretion
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.