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Deletion of Ligand Dependent Corepressor-Like (LCoRL) Protects Against Diet-induced Obesity Deletion of Ligand Dependent Corepressor-Like (LCoRL) Protects Against Diet-induced Obesity

GSE250603 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2024/11/13 Platform GPL30172
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples
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
LCoRL Regulates Growth and MetabolismEndocrinology · 2024
Summary (written by the submitters)
ABSTRACT OBJECTIVE: Genome Wide Association Studies (GWAS) in humans, dogs, and livestock have uncovered genes which may play a role in metabolism. However, functional analysis is required to link the metabolic phenotype with the associated gene. Here we identified the Ligand Dependent Corepressor-Like (LCoRL) as a potential metabolic regulator.
Read the full summary ↓
METHOD: We used CRISPR/Cas9 approaches in mice to generate a Lcorl null allele (Lcorl-/-). We characterized Lcorl-/- mice by assessing body weight, body composition, food intake, and glucose homeostasis as well as assessing transcriptional changes in Lcorl-/- livers by RNA-sequencing. Finally, we challenged mice with a 60% high fat diet (HFD) and a treadmill exercise stress test. RESULTS: Mice homozygous for loss of Lcorl are viable and fertile. However, Lcorl-/- pups show stunted postnatal growth for the first few weeks of life. This is followed by a catchup growth, such that, Lcorl-/- mice are indistinguishable from wildtype littermates by 7-9 weeks of age. Three-week-old mice show reduced circulating insulin like growth factor-1 (IGF-1) levels without a change in pituitary Growth hormone (Gh) mRNA levels. Interestingly, Lcorl-/- mice remain lean compared to wildtype littermates as they age. This is associated with a decrease in daily food intake. Additionally, Lcorl-/- mice show no change in energy expenditure; however, Lcorl-/- mice show a greater amplitude of their respiratory exchange ratio (RER) compared to controls, suggesting differential usage of fat and carbohydrates across the light/dark cycle. This altered RER may result from the reduction in day-time food intake or disrupted mobilization of fat and carbohydrate stores. Consistent with enhanced metabolic health, Lcorl-/- mice also show improved glucose tolerance and insulin sensitivity. Finally, Lcorl-/- mice are protected against a 60% high fat diet challenge and show reduced exercise capacity in a stress test. CONCLUSION: This phenotypic characterization of the Lcorl-/- mouse reveals that LCoRL is a causal gene resulting in the changes in metabolism seen in GWAS in humans and livestock and provides novel mechanistic insights of a gene important in human disease and economically valuable traits in livestock.
Published in
LCoRL Regulates Growth and Metabolism
Wyler SC, Gahlot S, Bideyan L et al. · Endocrinology 2024 · PMID 39467326 · doi:10.1210/endocr/bqae146
This dataset
Download · which file do I need?

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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE250603_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

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 PRJNA1054608 and SRA study SRP479058. Searching any of these in the dataset finder brings you back here.

Samples in this study

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