Integrated Multi-Omics Analysis Reveals Epigenetic and Sex-Specific Alterations in Colorectal Cancer Cachexia
RNA-seq (gene expression) · mouse · 88 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
- 88 samples: 12 conditions, mostly with about 8 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
- Transcriptional analysis of cancer cachexia: conserved and unique features across preclinical models and biological sexAmerican journal of physiology. Cell physiology · 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 GSE276018_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 PRJNA1154283 and SRA study SRP529490. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 88 samples.
How we read this: 12 replicated groups read from 88 sample titles; they account for 88 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.
- GSM8489529 C26_female_pbs_1 C26_female_pbs
- GSM8489530 C26_female_pbs_2 C26_female_pbs
- GSM8489531 C26_female_pbs_3 C26_female_pbs
- GSM8489532 C26_female_pbs_4 C26_female_pbs
- GSM8489533 C26_female_pbs_5 C26_female_pbs
- GSM8489534 C26_female_pbs_6 C26_female_pbs
- GSM8489535 C26_female_pbs_7 C26_female_pbs
- GSM8489536 C26_female_10days_1 C26_female_10days
- GSM8489537 C26_female_10days_2 C26_female_10days
- GSM8489538 C26_female_10days_3 C26_female_10days
- GSM8489539 C26_female_10days_4 C26_female_10days
- GSM8489540 C26_female_10days_5 C26_female_10days
- GSM8489541 C26_female_10days_6 C26_female_10days
- GSM8489542 C26_female_10days_7 C26_female_10days
- GSM8489543 C26_female_10days_8 C26_female_10days
- GSM8489544 C26_female_20days_1 C26_female_20days
- GSM8489545 C26_female_20days_2 C26_female_20days
- GSM8489546 C26_female_20days_3 C26_female_20days
- GSM8489547 C26_female_20days_4 C26_female_20days
- GSM8489548 C26_female_20days_5 C26_female_20days
- GSM8489549 C26_female_20days_6 C26_female_20days
- GSM8489550 C26_female_20days_7 C26_female_20days
- GSM8489551 C26_female_20days_8 C26_female_20days
- GSM8489552 C26_female_25days_1 C26_female_25days
- GSM8489553 C26_female_25days_2 C26_female_25days
- GSM8489554 C26_female_25days_3 C26_female_25days
- GSM8489555 C26_female_25days_4 C26_female_25days
- GSM8489556 C26_female_25days_5 C26_female_25days
- GSM8489557 C26_female_25days_6 C26_female_25days
- GSM8489558 C26_male_pbs_1 C26_male_pbs
- GSM8489559 C26_male_pbs_2 C26_male_pbs
- GSM8489560 C26_male_pbs_3 C26_male_pbs
- GSM8489561 C26_male_pbs_4 C26_male_pbs
- GSM8489562 C26_male_pbs_5 C26_male_pbs
- GSM8489563 C26_male_pbs_6 C26_male_pbs
- GSM8489564 C26_male_pbs_7 C26_male_pbs
- GSM8489565 C26_male_pbs_8 C26_male_pbs
- GSM8489566 C26_male_10days_1 C26_male_10days
- GSM8489567 C26_male_10days_2 C26_male_10days
- GSM8489568 C26_male_10days_3 C26_male_10days
+ 48 more — browse all 88 samples with per-sample file links →
- GSE290937 Multi-omics profiling of cachexia-targeted tissues reveals a spatio-temporally coordinated response to cancer 80 samples shares multi-omics, cachexia
- GSE302188 Multi-omics analysis highlights the link of aging-related cognitive decline with systemic inflammation and alterations of tissue-maintenance 165 samples shares multi-omics, alterations
- GSE247454 Brca1 haploinsufficiency promotes early tumor onset and epigenetic alterations in a mouse model of hereditary breast cancer 38 samples shares alterations, epigenetic
- GSE280273 A multi-omics census reveals miRNA miR-let-7 as instigator of paternal mitochondrial dysfunction and in epigenetic heredity of intergenerational metabolic decline [F0_Liv_eWAT_RNAseq] 36 samples shares multi-omics, epigenetic
- GSE227108 Integrated single-cell analysis defines the epigenetic basis of castration-resistant prostate luminal cells (scRNA-seq) 18 samples shares integrated, epigenetic
- GSE280277 A multi-omics census reveals miRNA miR-let-7 as instigator of paternal mitochondrial dysfunction and in epigenetic heredity of intergenerational metabolic decline [PeWA] 12 samples shares multi-omics, epigenetic
- GSE280278 A multi-omics census reveals miRNA miR-let-7 as instigator of paternal mitochondrial dysfunction and in epigenetic heredity of intergenerational metabolic decline 279 samples shares multi-omics, epigenetic
- GSE313359 Hippocampal estrogen levels, receptor types and epigenetics contribute to sex-specific memory-vulnerabilities to concurrent acute stresses [Cut & Run] 45 samples shares sex-specific, epigenetic
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.