A Quantitative Native Mass Spectrometry Platform for Deconstructing Hierarchical Organization of Membrane Proteins and Lipids

被引:0
|
作者
Panda, Aniruddha
Giska, Fabian
Brown, Caroline
Coleman, Jeff
Rothman, James E.
Gupta, Kallol
机构
[1] Department of Cell Biology, Yale School of Medicine, CT, New Haven
来源
FASEB JOURNAL | 2022年 / 36卷
关键词
D O I
10.1096/fasebj.2022.36.S1.0R472
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
HYPOTHESIS: Hierarchical organization of protein and lipids at the cell membrane is essential for regulating a myriad of cellular signaling. The lateral heterogeneity of the biological membrane, both in terms of its lipid composition, as well as biophysical properties such as lateral pressure, curvature, fluidity has been shown to play regulatory role towards maintaining these assemblies of membrane proteins. This in turn imposes a challenging experimental prerequisite towards studying macromolecular assemblies of proteins and lipids at the membrane. It demands experimental approaches that (1) can unambiguously identify the associated proteins and lipids, along with their oligomeric states and binding stoichiometry, and (2) can be directly applied to a lipid-bilayer environments that mimics the lipid composition and critical biophysical properties of a target physiological membrane. METHODS: Addressing this need, we have developed lipid vesicle native mass spectrometry (nMS). This comprehensive tunable in vitro platform enables us to construct lipid bilayer, mimicking a target physiological membrane in terms of its composition and biophysical properties and directly subject it to nMS and MS/MS analysis to determine the oligomeric organization of the proteins present, identity of the bound lipids, and their binding stoichiometry; all directly from the membrane. PRELIMINARY DATA: First, to establish the broad applicability of our platform we chose a diverse set of membrane proteins with their oligomeric states ranging from monomer to pentamer, masses 12kDa-226kDa, and number transmembrane-helices 1-30. We further reconstituted them in a diverse set of lipid vesicles that are mimics of the eukaryotic ER, PM, Mitochondria, Golgi, and bacterial plasma membranes, as well as in vesicles of specific membrane curvature. In each of these cases, by directly subjecting these native-like vesicles to nMS we can directly determine the physiological oligomeric state of the proteins in the bilayer. Further, using the top-down MS/MS capability of our platform, we can unambiguously determine which of the membrane lipid associate with target membrane protein. Having established the broad and general applicability of our platform to study membrane proteins directly from a bilayer that can be customized to represent a target physiological membrane, we focused on applying this to two specific problems. First, we applied our approach to synaptic vesicle proteins and we show that through specific lipid binding VAMP2 induces clustering of specific lipid around its transmembrane and regulates the temporal scale of fusions. Next, applying our platform to a sugar transporter protein we quantitatively show that increase in cardiolipin % in the membrane leads to direct increase in functional oligomeric population. CONCLUSION: Our work presents a broad and generally applicable nMS platform that enables quantitative determination of molecular organization of protein and lipids directly from lipid membranes of desired composition and characteristics, identify of the specifically bound lipids, and determine how these specific bindings in turn regulate protein oligomerization. © FASEB.
引用
收藏
页数:3
相关论文
共 50 条
  • [1] A tunable lipid bilayer native MS platform for direct determination of hierarchical organization of membrane proteins and lipids at the membrane
    Panda, Aniruddha
    Giska, Fabian
    Brown, Caroline
    Coleman, Jeff
    Rothman, James E.
    Gupta, Kallol
    BIOPHYSICAL JOURNAL, 2022, 121 (03) : 312A - 313A
  • [2] Native Mass Spectrometry of Membrane Proteins
    Keener, James E.
    Zhang, Guozhi
    Marty, Michael T.
    ANALYTICAL CHEMISTRY, 2021, 93 (01) : 583 - 597
  • [3] Direct Determination of Hierarchical Organization of Membrane Proteins and Lipids Using a Tunable Lipid Bilayer NativeMS Platform
    Panda, Aniruddha
    Giska, Fabian
    Brown, Caroline
    Mcallister, Rachel
    Goder, Jean N. D.
    Pincet, Frederic
    Coleman, Jeff
    Rothman, James E.
    Gupta, Kallol
    PROTEIN SCIENCE, 2023, 32 (12)
  • [4] Investigating Membrane Proteins Using Native Mass Spectrometry
    Broster, Kelly
    AMERICAN LABORATORY, 2018, 50 (05) : 14 - 15
  • [5] Advances and challenges in preparing membrane proteins for native mass spectrometry
    Cheng, Di
    Guo, Yi
    Lyu, Jixing
    Liu, Yang
    Xu, Wenhao
    Zheng, Weiyi
    Wang, Yuchen
    Qiao, Pei
    BIOTECHNOLOGY ADVANCES, 2025, 78
  • [6] Extending native mass spectrometry approaches to integral membrane proteins
    Konijnenberg, Albert
    van Dyck, Jeroen F.
    Kailing, Lyn L.
    Sobott, Frank
    BIOLOGICAL CHEMISTRY, 2015, 396 (9-10) : 991 - 1002
  • [7] Lipodisq and native mass spectrometry: a new tool for studying membrane proteins in native environment
    Juarez, J. F. Bada
    Judge, P. J.
    Yen, H. -Y.
    Hoi, K.
    Robinson, C. V.
    Watts, A.
    EUROPEAN BIOPHYSICS JOURNAL WITH BIOPHYSICS LETTERS, 2017, 46 : S298 - S298
  • [8] Structural Mass Spectrometry of Membrane Proteins within Their Native Lipid Environments
    Reading, Eamonn
    CHEMISTRY-A EUROPEAN JOURNAL, 2018, 24 (51) : 13391 - 13398
  • [9] Polyamine detergents tailored for native mass spectrometry studies of membrane proteins
    Yun Zhu
    Bo-Ji Peng
    Smriti Kumar
    Lauren Stover
    Jing-Yuan Chang
    Jixing Lyu
    Tianqi Zhang
    Samantha Schrecke
    Djavdat Azizov
    David H. Russell
    Lei Fang
    Arthur Laganowsky
    Nature Communications, 14 (1)
  • [10] Polyamine detergents tailored for native mass spectrometry studies of membrane proteins
    Zhu, Yun
    Peng, Bo-Ji
    Kumar, Smriti
    Stover, Lauren
    Chang, Jing-Yuan
    Lyu, Jixing
    Zhang, Tianqi
    Schrecke, Samantha
    Azizov, Djavdat
    Russell, David H.
    Fang, Lei
    Laganowsky, Arthur
    NATURE COMMUNICATIONS, 2023, 14 (01)