Dataset Information

Untargeted metabolomics profiling to determine FITM2-dependent metabolic rewiring under IFNγ stimulation

ABSTRACT: This study aimed to define metabolic alterations associated with FITM2 loss in tumor cells exposed to inflammatory cytokine signaling. KPC control and FITM2 knockout cells were treated with IFNγ and subjected to untargeted metabolomics profiling using LC–MS/MS. Data from positive and negative ionization modes were integrated to generate a unified metabolite dataset. Differential abundance analysis was performed to identify metabolites significantly altered between conditions, and pathway enrichment analysis was conducted to uncover metabolic pathways perturbed by FITM2 deficiency under IFNγ stimulation.

INSTRUMENT(S): Liquid Chromatography MS - negative - reverse-phase, Liquid Chromatography MS - positive - reverse-phase

PROVIDER: MTBLS14254 | MetaboLights | 2026-04-11

REPOSITORIES: MetaboLights

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Dataset's files

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			Action	DRS
	a_MTBLS14254_LC-MS_negative_reverse-phase.txt	Txt
	a_MTBLS14254_LC-MS_positive_reverse-phase.txt	Txt
	i_Investigation.txt	Txt
	m_MTBLS14254_LC-MS_negative_reverse-phase_v2_maf.tsv	Tabular
	m_MTBLS14254_LC-MS_positive_reverse-phase_v2_maf.tsv	Tabular

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Untargeted metabolomics profiling to determine FITM2-dependent metabolic rewiring under IFNγ stimulation

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