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GLP-1 directed NMDA receptor antagonism for obesity treatment [I]

GSE244607 Mus musculus (mouse) RNA-seq (gene expression) 64 samples Submitted 2024/05/14 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 64 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
64 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
GLP-1-directed NMDA receptor antagonism for obesity treatmentNature · 2024
Summary (written by the submitters)
The N-methyl-d-aspartate (NMDA) receptor is a glutamate-activated cation channel critical to many processes in the brain. Genome-wide association studies (GWAS) suggest that glutamatergic neurotransmission and NMDA receptor-mediated synaptic plasticity is important for body weight homeostasis1. Here, we report the engineering and preclinical development of a first-in-class bimodal molecule that integrates NMDA receptor antagonism with glucagon-like peptide-1 (GLP-1) receptor agonism to effectively reverse obesity, hyperglycemia, and dyslipidemia in rodent models of metabolic disease.
Read the full summary ↓
We demonstrate that GLP-1-directed delivery of the NMDA receptor antagonist MK-801 affects NMDA receptor-mediated synaptic plasticity in the hypothalamus. Importantly, peptide-targeting of MK-801 specifically to GLP-1 receptor-expressing brain regions circumvent adverse physiological and behavioral effects associated with MK-801 monotherapy. In sum, our approach demonstrates the feasibility of cell specific ionotropic receptor-modulation via peptide targeting and highlights the therapeutic potential of unimolecular mixed GLP-1 receptor agonism and NMDA receptor antagonism for obesity treatment.
Published in
GLP-1-directed NMDA receptor antagonism for obesity treatment
Petersen J, Ludwig MQ, Juozaityte V et al. · Nature 2024 · PMID 38750368 · doi:10.1038/s41586-024-07419-8
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 GSE244607_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 PRJNA1023883 and SRA study SRP464468. Searching any of these in the dataset finder brings you back here.

Samples in this study

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