PKC modulator bryostatin-1 therapeutically targets CNS innate immunity to attenuate neuroinflammation and promote remyelination
RNA-seq (gene expression) · mouse · 33 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
- Mus musculus (mouse)
- Samples
- 33 samples: 11 conditions, mostly in triplicateGroups 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 protein kinase C modulator bryostatin-1 therapeutically targets microglia to attenuate neuroinflammation and promote remyelinationScience translational medicine · 2025
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 GSE280580_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 PRJNA1179434 and SRA study SRP541853. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 33 samples.
How we read this: 11 replicated groups read from 33 sample titles; they account for 33 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.
- GSM8601546 CNS-Myeloid Bryo Rep1 CNS-Myeloid Bryo
- GSM8601547 CNS-Myeloid Bryo Rep2 CNS-Myeloid Bryo
- GSM8601548 CNS-Myeloid Bryo Rep3 CNS-Myeloid Bryo
- GSM8601549 CNS-Myeloid Vehicle Rep1 CNS-Myeloid Vehicle
- GSM8601550 CNS-Myeloid Vehicle Rep2 CNS-Myeloid Vehicle
- GSM8601551 CNS-Myeloid Vehicle Rep3 CNS-Myeloid Vehicle
- GSM8601552 MGC Exp2-Bryo Rep 1 MGC Exp2-Bryo
- GSM8601553 MGC Exp2-Bryo Rep 2 MGC Exp2-Bryo
- GSM8601554 MGC Exp2-Bryo Rep 3 MGC Exp2-Bryo
- GSM8601555 MGC Exp2 IL4+Bryo Rep 1 MGC Exp2 IL4+Bryo
- GSM8601556 MGC Exp2 IL4+Bryo Rep 2 MGC Exp2 IL4+Bryo
- GSM8601557 MGC Exp2 IL4+Bryo Rep 3 MGC Exp2 IL4+Bryo
- GSM8601558 MGC Exp2 IL4 Rep 1 MGC Exp2 IL4
- GSM8601559 MGC Exp2 IL4 Rep 2 MGC Exp2 IL4
- GSM8601560 MGC Exp2 IL4 Rep 3 MGC Exp2 IL4
- GSM8601561 MGC Exp1 LPS+IFNγ+Bryo Rep 1 MGC Exp1 LPS+IFNγ+Bryo
- GSM8601562 MGC Exp1 LPS+IFNγ+Bryo Rep 2 MGC Exp1 LPS+IFNγ+Bryo
- GSM8601563 MGC Exp1 LPS+IFNγ+Bryo Rep 3 MGC Exp1 LPS+IFNγ+Bryo
- GSM8601564 MGC Exp1 LPS Rep 1 MGC Exp1 LPS
- GSM8601565 MGC Exp1 LPS Rep 2 MGC Exp1 LPS
- GSM8601566 MGC Exp1 LPS Rep 3 MGC Exp1 LPS
- GSM8601567 MGC Exp1 LPS+Bryo Rep 1 MGC Exp1 LPS+Bryo
- GSM8601568 MGC Exp1 LPS+Bryo Rep 2 MGC Exp1 LPS+Bryo
- GSM8601569 MGC Exp1 LPS+Bryo Rep 3 MGC Exp1 LPS+Bryo
- GSM8601570 MGC Exp1 LPS+IFNγ Rep 1 MGC Exp1 LPS+IFNγ
- GSM8601571 MGC Exp1 LPS+IFNγ Rep 2 MGC Exp1 LPS+IFNγ
- GSM8601572 MGC Exp1 LPS+IFNγ Rep 3 MGC Exp1 LPS+IFNγ
- GSM8601573 MGC Exp1 NT Rep 1 MGC Exp1 NT
- GSM8601574 MGC Exp2 NT Rep 1 MGC Exp2 NT
- GSM8601575 MGC Exp1 NT Rep 2 MGC Exp1 NT
- GSM8601576 MGC Exp2 NT Rep 2 MGC Exp2 NT
- GSM8601577 MGC Exp1 NT Rep3 MGC Exp1 NT
- GSM8601578 MGC Exp2 NT Rep3 MGC Exp2 NT
- GSE324086 Hereditary spastic paraplegia (HSP) gene 11 (SPG11) attenuates lipid accumulation in myeloid cells and neuroinflammation independent of α-synuclein pathology 20 samples shares neuroinflammation, attenuate
- GSE279453 Bifidobacterium lactis Derived Vesicles Attenuates Hippocampal Neuroinflammation via Targeting IL-33 to Regulate FoxO6/P53 Signaling 15 samples shares neuroinflammation, attenuate
- GSE328178 Genetic suppression of myeloid receptor Clec7a attenuates microglia neuroinflammation and promotes microglial phagocytosis to delay disease progression in ALS models 14 samples shares neuroinflammation, attenuate
- GSE304500 N,N Dimethylacetamide attenuates LPS induced neuroinflammation in a murine model 12 samples shares neuroinflammation, attenuate
- GSE244474 T cell - DAM feedback loop drives CNS inflammation and neurodegenration in SPG15 at an early age via CCR5-CCL5 interaction [CD3+] 1135 samples shares cns
- GSE244086 MMPs and NETs are detrimental in CNS-tuberculosis with MMP inhibitor doxycycline improving murine CNS-tuberculosis survival (mouse) 69 samples shares cns
- GSE311963 CD38 endows local antigen-specific Foxp3+ Treg cells with stress resilience for compartmentalized control of CNS inflammation 68 samples shares cns
- GSE293291 GIPR-Ab/GLP-1 Peptide-antibody Conjugate Requires CNS GIPRs and GLP-1Rs to Engage Anorexigenic Circuitry for Additive Weight Loss in Obese Mice 60 samples shares cns
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.