GEO series

Effect of SLC1A5 overexpression on T cell metabolism and function

GSE299766 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/08/21 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: 3 × Stimulated_Slc1a5 vs 3 × Stimulated vs 3 × Basal_Slc1a5 vs 3 × BasalGroups 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: Reprogramming glutamine metabolism enhances BCMA-CAR T-cell fitness and therapeutic efficacy in multiple myelomaBlood · 2025

Summary (written by the submitters)

Glutamine-dependence of cancer cells reduces local glutamine availability, which hinders anti-tumor T-cell functionality and facilitates immune evasion. We thus speculated that glutamine deprivation might be limiting efficacy of CAR T-cell therapies in cancer patients. We have seen that antigen-specific T cells are unable to proliferate or produce IFN-γ in response to antigen stimulation when glutamine concentration is limited.

Read the full summary ↓

Using multiple myeloma (MM) as a glutamine-dependent disease model, we found that murine CAR-T cells selectively targeting BCMA in MM cells were sensitive to glutamine deprivation. However, CAR-T cells engineered to increase glutamine uptake by expression of the glutamine transporter Asct2 exhibited enhanced proliferation and responsiveness to antigen stimulation, increased production of IFN-, and heightened cytotoxic activity, even under conditions of low glutamine concentration. Mechanistically, Asct2 overexpression reprogrammed CAR-T cell metabolic fitness, improving basal oxygen consumption rate and glycolytic function that enhanced CAR-T cell persistence in vivo. Accordingly, expression of Asct2 increased the efficacy of BCMA CAR-T cells in syngeneic and genetically-engineered mouse models of MM, which prolonged mouse survival. In patients, reduced expression of Asct2 by MM cells predicted poor outcome to combined immunotherapy and BCMA-CAR T-cell therapy. Our results indicate that reprogramming glutamine metabolism may enhance anti-tumor CAR T-cell functionality in multiple myeloma. This approach may also be effective for other cancers that depend on glutamine as a key energy source and metabolic hallmark.

Published in

Reprogramming glutamine metabolism enhances BCMA-CAR T-cell fitness and therapeutic efficacy in multiple myeloma

Navarro F, Lozano T, Fuentes-García A et al. · Blood 2025 · PMID 40971494 · doi:10.1182/blood.2024027496

This dataset

Open GSE299766 in finder → Find more mouse RNA-seq datasets →

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.

Series matrix ↓

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 GSE299766_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓

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.

Raw reads on ENA ↗

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 PRJNA1276468 and SRA study SRP591864. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40971494) ↗

Study design

3 × Stimulated_Slc1a5 vs 3 × Stimulated vs 3 × Basal_Slc1a5 vs 3 × Basal

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.

Samples in this study

GSM9045827 Stimulated_Slc1a5_1 Stimulated_Slc1a5
GSM9045828 Stimulated_Slc1a5_2 Stimulated_Slc1a5
GSM9045829 Stimulated_Slc1a5_3 Stimulated_Slc1a5
GSM9045830 Stimulated_1 Stimulated
GSM9045831 Stimulated_2 Stimulated
GSM9045832 Stimulated_3 Stimulated
GSM9045833 Basal_Slc1a5_1 Basal_Slc1a5
GSM9045834 Basal_Slc1a5_2 Basal_Slc1a5
GSM9045835 Basal_Slc1a5_3 Basal_Slc1a5
GSM9045836 Basal_1 Basal
GSM9045837 Basal_2 Basal
GSM9045838 Basal_3 Basal

Datasets on a similar topic

GSE309259 SLC1A5 prevents aortic aneurysm and dissection by glutaminolytic-epigenetic orchestration of vascular smooth muscle cell homeostasis [RNA-seq] 16 samples shares slc1a5
GSE305458 The effect of MDM2 overexpression on the cellular response to etoposide treatment 16 samples shares overexpression
GSE232844 Effect of conditional triple-knockout of Jmjd2a/Kdm4a, Jmjd2b/Kdm4b and Jmjd2c/Kdm4c or overexpression of KDM4C/JMJD2C mutants with different phase separation ability on gene expression in mouse embryonic stem cells. [RNA-Seq] 10 samples shares overexpression
GSE267858 The effect of adipose tissue-specific overexpression of adrenomedullin 2 on the regulation of adipocyte function 10 samples shares overexpression
GSE284286 Cardiomyocyte-specific LARP6 overexpression prevents Angiotensin II-induced myocardial dysfunction and interstitial fibrosis 50 samples shares overexpression
GSE224275 Effects on the transcriptome of mouse embryonic fibroblasts after both Son overexpression and knockdown and treatment with 3μM nintedanib, 1μM ponatinib, 3μM proflavine hemisulfate, and 1μM pyrvinium pamoate 43 samples shares overexpression
GSE252607 Cardiomyocyte specific RXFP1-overexpression protects Relaxin-independently from pressure-overload induced cardiac dysfunction 30 samples shares overexpression
GSE174527 To explore the functional consequences of ZBTB7A Overexpression in rodent OFC astrocytes in the context of a mild stressor 23 samples shares overexpression

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.