Multiomic Profile Integration Reveals Early Signatures of Amyotrophic Lateral Sclerosis and Suggests the MAPK Pathway as a Therapeutic Target
Non-coding RNA profiling · mouse · 158 samples
- What it is
- Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
- Organism
- Mus musculus (mouse)
- Samples
- 158 samples: 25 conditions, mostly with about 10 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
- A dataset profiling the multiomic landscape of the prefrontal cortex in amyotrophic lateral sclerosisGigaScience · 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 GSE234246_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.
Also filed as BioProject PRJNA980613 and SRA study SRP441342. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 158 samples.
How we read this: 25 replicated groups read from 158 sample titles; they account for 158 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.
- GSM7458005 FUS,mut,female,S574 FUS,mut,female,S
- GSM7458006 FUS,mut,female,S575 FUS,mut,female,S
- GSM7458007 FUS,mut,female,S581 FUS,mut,female,S
- GSM7458008 FUS,mut,female,S785 FUS,mut,female,S
- GSM7458009 FUS,mut,female,S782 FUS,mut,female,S
- GSM7458010 FUS,mut,male,S784 FUS,mut,male,S
- GSM7458011 FUS,mut,male,S567 FUS,mut,male,S
- GSM7458012 FUS,mut,male,S578 FUS,mut,male,S
- GSM7458013 FUS,mut,male,S881 FUS,mut,male,S
- GSM7458014 FUS,ctrl,male,S572 FUS,ctrl,male,S
- GSM7458015 FUS,ctrl,female,S565 FUS,ctrl,female,S
- GSM7458016 FUS,ctrl,female,S571 FUS,ctrl,female,S
- GSM7458017 FUS,ctrl,female,S850 FUS,ctrl,female,S
- GSM7458018 FUS,ctrl,female,S875 FUS,ctrl,female,S
- GSM7458019 FUS,ctrl,female,S876 FUS,ctrl,female,S
- GSM7458020 FUS,ctrl,male,S776 FUS,ctrl,male,S
- GSM7458021 FUS,ctrl,male,S780 FUS,ctrl,male,S
- GSM7458022 FUS,ctrl,male,S781 FUS,ctrl,male,S
- GSM7458023 FUS,ctrl,male,S586 FUS,ctrl,male,S
- GSM7458024 TDP43,ctrl,male,S0841 TDP43,ctrl,male,S
- GSM7458025 TDP43,ctrl,male,S0842 TDP43,ctrl,male,S
- GSM7458026 TDP43,ctrl,male,S0843 TDP43,ctrl,male,S
- GSM7458027 TDP43,ctrl,male,S0844 TDP43,ctrl,male,S
- GSM7458028 TDP43,ctrl,male,S0845 TDP43,ctrl,male,S
- GSM7458029 TDP43,ctrl,female,S0846 TDP43,ctrl,female,S
- GSM7458030 TDP43,ctrl,female,S0847 TDP43,ctrl,female,S
- GSM7458031 TDP43,ctrl,female,S0848 TDP43,ctrl,female,S
- GSM7458032 TDP43,ctrl,female,S0849 TDP43,ctrl,female,S
- GSM7458033 TDP43,ctrl,female,S0850 TDP43,ctrl,female,S
- GSM7458034 TDP43,mut,female,S1812 TDP43,mut,female,S
- GSM7458035 TDP43,mut,male,S1814 TDP43,mut,male,S
- GSM7458036 TDP43,mut,male,S1815 TDP43,mut,male,S
- GSM7458037 TDP43,mut,male,S1816 TDP43,mut,male,S
- GSM7458038 TDP43,mut,female,S1821 TDP43,mut,female,S
- GSM7458039 TDP43,mut,male,S1827 TDP43,mut,male,S
- GSM7458040 TDP43,mut,female,S1835 TDP43,mut,female,S
- GSM7458041 TDP43,mut,female,S1840 TDP43,mut,female,S
- GSM7458042 TDP43,mut,female,S1843 TDP43,mut,female,S
- GSM7458043 TDP43,mut,male,S1845 TDP43,mut,male,S
- GSM7458044 SOD1,ctrl,female,S8950 SOD1,ctrl,female,S
+ 118 more — browse all 158 samples with per-sample file links →
- GSE234245 Multiomic Profile Integration Reveals Early Signatures of Amyotrophic Lateral Sclerosis and Suggests the MAPK Pathway as a Therapeutic Target [RNA-Seq] 79 samples shares mapk, integration, amyotrophic, therapeutic, signatures, multiomic, sclerosis, suggests
- GSE307773 Oncogenic MAPK signalling induces epithelial cell state change and therapeutic resistance in vivo [RNA-Seq] 175 samples shares mapk, therapeutic
- GSE307774 Oncogenic MAPK signalling induces epithelial cell state change and therapeutic resistance in vivo [scRNA-Seq] 29 samples shares mapk, therapeutic
- GSE223323 Enterocyte like differentiation defines metabolic gene signatures of CMS3 colorectal cancers and provides therapeutic vulnerability 148 samples shares therapeutic, signatures
- GSE301751 Therapeutic Efficacy, Biomarker Signatures and Translatability of Semaglutide in the Liver Biopsy-Confirmed GAN DIO-MASH Mouse Model (study 7/9) 53 samples shares therapeutic, signatures
- GSE310507 Therapeutic Efficacy, Biomarker Signatures and Translatability of Semaglutide in the Liver Biopsy-Confirmed GAN DIO-MASH Mouse Model (study 6) 24 samples shares therapeutic, signatures
- GSE255321 Therapeutic effects of FGF21 mimetic bFKB1 on MASH and atherosclerosis in Ldlr-/-.Leiden mice 24 samples shares therapeutic, sclerosis
- GSE333191 Integration of Transcriptional Signatures from Brain Tissue and Plasma Extracellular Vesicles of a Preclinical Tauopathy Mouse Model 16 samples shares integration, signatures
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.