Obesity accelerates age-related memory deficits and alters white matter tract integrity in Ldlr-/-.Leiden mice
RNA-seq (gene expression) · mouse · 39 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
- 39 samples: 16 × High Fat Diet vs 12 × Aged_Chow vs 11 × Young_ChowGroups 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
- Obesity accelerates age-related memory deficits and alters white matter tract integrity in Ldlr-/-.Leiden miceBrain, behavior, & immunity - health · 2025
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 GSE294054_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 PRJNA1247967 and SRA study SRP577235. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 39 samples.
How we read this: 3 replicated groups read from 39 sample titles; they account for 39 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.
- GSM8897967 High Fat Diet.007 High Fat Diet
- GSM8897968 High Fat Diet.009 High Fat Diet
- GSM8897969 High Fat Diet.010 High Fat Diet
- GSM8897970 High Fat Diet.015 High Fat Diet
- GSM8897971 High Fat Diet.018 High Fat Diet
- GSM8897972 High Fat Diet.019 High Fat Diet
- GSM8897973 High Fat Diet.020 High Fat Diet
- GSM8897974 High Fat Diet.025 High Fat Diet
- GSM8897975 High Fat Diet.026 High Fat Diet
- GSM8897976 High Fat Diet.027 High Fat Diet
- GSM8897977 High Fat Diet.028 High Fat Diet
- GSM8897978 High Fat Diet.031 High Fat Diet
- GSM8897979 High Fat Diet.032 High Fat Diet
- GSM8897980 High Fat Diet.033 High Fat Diet
- GSM8897981 High Fat Diet.034 High Fat Diet
- GSM8897982 High Fat Diet.035 High Fat Diet
- GSM8897983 Aged_Chow.001 Aged_Chow
- GSM8897984 Aged_Chow.002 Aged_Chow
- GSM8897985 Aged_Chow.003 Aged_Chow
- GSM8897986 Aged_Chow.021 Aged_Chow
- GSM8897987 Aged_Chow.022 Aged_Chow
- GSM8897988 Aged_Chow.024 Aged_Chow
- GSM8897989 Aged_Chow.036 Aged_Chow
- GSM8897990 Aged_Chow.037 Aged_Chow
- GSM8897991 Aged_Chow.038 Aged_Chow
- GSM8897992 Aged_Chow.039 Aged_Chow
- GSM8897993 Aged_Chow.045 Aged_Chow
- GSM8897994 Aged_Chow.046 Aged_Chow
- GSM8897995 Young_Chow.004 Young_Chow
- GSM8897996 Young_Chow.011 Young_Chow
- GSM8897997 Young_Chow.012 Young_Chow
- GSM8897998 Young_Chow.013 Young_Chow
- GSM8897999 Young_Chow.014 Young_Chow
- GSM8898000 Young_Chow.040 Young_Chow
- GSM8898001 Young_Chow.041 Young_Chow
- GSM8898002 Young_Chow.042 Young_Chow
- GSM8898003 Young_Chow.047 Young_Chow
- GSM8898004 Young_Chow.048 Young_Chow
- GSM8898005 Young_Chow.049 Young_Chow
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- GSE254229 ALS/FTD-linked TBK1 deficiency in microglia induces an aged-like microglial signature and drives social recognition deficits in mice 141 samples shares deficits
- GSE225576 An atlas of the aging mouse transcriptome and proteome reveals the features of age-related post-transcriptional dysregulation 128 samples shares age-related
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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.