APA (7th ed.) Citation

Chawla, Y., Anderson, E. I., Jevremovic, D., Kumar, S. K., Hitosugi, T., & Gonsalves, W. I. (2025). Mass spectrometry-based lipidomics identifies select triacylglycerol species as differentially abundant in the bone marrow microenvironment of patients with multiple myeloma compared to monoclonal gammopathy of unknown significance. Metabolomics, 21(3), 1. https://doi.org/10.1007/s11306-025-02271-x

Chicago Style (17th ed.) Citation

Chawla, Yogesh, Emilie I. Anderson, Dragan Jevremovic, Shaji K. Kumar, Taro Hitosugi, and Wilson I. Gonsalves. "Mass Spectrometry-based Lipidomics Identifies Select Triacylglycerol Species as Differentially Abundant in the Bone Marrow Microenvironment of Patients with Multiple Myeloma Compared to Monoclonal Gammopathy of Unknown Significance." Metabolomics 21, no. 3 (2025): 1. https://doi.org/10.1007/s11306-025-02271-x.

MLA (9th ed.) Citation

Chawla, Yogesh, et al. "Mass Spectrometry-based Lipidomics Identifies Select Triacylglycerol Species as Differentially Abundant in the Bone Marrow Microenvironment of Patients with Multiple Myeloma Compared to Monoclonal Gammopathy of Unknown Significance." Metabolomics, vol. 21, no. 3, 2025, p. 1, https://doi.org/10.1007/s11306-025-02271-x.