Functional Cellular Networks Section
Established in 2009
Aleksandra Nita-Lazar, Ph. D. (She/Her/Hers)
Chief, Functional Cellular Networks Section
Major Areas of Research
- Protein modifications involved in cell signaling
- Absolute quantification of molecular representation and interaction
Research in the Functional Cellular Networks Section focuses on understanding the changes that occur in the cell proteome in response to exogenous factors such as pathogen-derived molecules, cytokines, and chemokines, which alter the differentiation state of cells in the immune system or whose production characterizes specific disease states. We are especially interested in large-scale absolute quantitative measurements of immune cell signaling cascade components and in the characterization of post-translational modification (PTM) dynamics on a global scale. We use the resulting large datasets to create predictive models of molecular interactions using the Simmune software generated by the Computational Biology Section The predictions of these models will in turn be employed to elucidate biological responses to stimuli at multiple scales of biological organization, including the cell, tissue, and, eventually, whole organism.
We employ mass-spectrometry-based technology together with other proteomic and biochemical methods using state-of-the art equipment and technologies available in our laboratory and at NIH.
The following are examples of our projects:
- Protein modifications involved in cell signaling: Because dynamic PTMs such as phosphorylation, ubiquitination, or glycosylation are essential for the regulation of cell signaling, it is crucial to quantitatively map the PTMs of proteins involved in signaling cascades. Examples of our interests include Toll-like receptor (TLR) signaling in macrophages (Sjoelund et al., J Proteome Res., 2014) or chemotaxis of the immune cells.
- Absolute quantification of molecular representation and interaction: Mathematical modeling of biological events is most reliable when the absolute quantities of molecules are known and used to set parameters in the simulations. Therefore, we are interested in absolute quantification of protein expression and protein-protein interactions. We have established the methodology for the lipid-induced signaling pathways involving the S1P1 and S1P2 receptors in monocyte/macrophage cell lineage-derived osteoclast precursors that control cell mobilization at bone surfaces (Manes et al., Mol Cell Proteomics 2015). We are currently working on the absolute quantification of molecules in the macrophages exposed to different TLR ligands.
Special Interest Groups
- Systems Biology
- Mass Spectrometry
EducationPh.D., 2003, University of Basel
Dr. Nita-Lazar received her Ph.D. in biochemistry in 2003 from the University of Basel for studies performed at the Friedrich Miescher Institute for Biomedical Research, where she analyzed protein glycosylation using mass spectrometry methods. After postdoctoral training at Stony Brook University and Massachusetts Institute of Technology, where she continued to investigate post-translational protein modifications and their influence on cell signaling, she joined the Program in Systems Immunology and Infectious Disease Research, now the Laboratory of Immune System Biology, in April 2009.
Ernst O, Khan MM, Oyler BL, Yoon SH, Sun J, Lin FY, Manes NP, MacKerell AD Jr, Fraser IDC, Ernst RK, Goodlett DR, Nita-Lazar A. Species-Specific Endotoxin Stimulus Determines Toll-Like Receptor 4- and Caspase 11-Mediated Pathway Activation Characteristics. mSystems. 2021 Aug 31;6(4):e0030621.
Manes NP, Nita-Lazar A. Molecular Mechanisms of the Toll-Like Receptor, STING, MAVS, Inflammasome, and Interferon Pathways. mSystems. 2021 Jun 29;6(3):e0033621.
Gillen J, Ondee T, Gurusamy D, Issara-Amphorn J, Manes NP, Yoon SH, Leelahavanichkul A, Nita-Lazar A. LPS Tolerance Inhibits Cellular Respiration and Induces Global Changes in the Macrophage Secretome. Biomolecules. 2021 Jan 27;11(2):164.
Manes NP, Shulzhenko N, Nuccio AG, Azeem S, Morgun A, Nita-Lazar A. Multi-omics Comparative Analysis Reveals Multiple Layers of Host Signaling Pathway Regulation by the Gut Microbiota. mSystems. 2017 Oct 24;2(5):e00107-17.
Koppenol-Raab M, Sjoelund V, Manes NP, Gottschalk RA, Dutta B, Benet ZL, Fraser ID, Nita-Lazar A. Proteome and Secretome Analysis Reveals Differential Post-transcriptional Regulation of Toll-like Receptor Responses. Mol Cell Proteomics. 2017 Apr;16(4 suppl 1):S172-S186.
Manes NP, Angermann BR, Koppenol-Raab M, An E, Sjoelund VH, Sun J, Ishii M, Germain RN, Meier-Schellersheim M, Nita-Lazar A. Targeted Proteomics-Driven Computational Modeling of Macrophage S1P Chemosensing. Mol Cell Proteomics. 2015 Oct;14(10):2661-81.
Postdoctoral position available - interested applicants please contact Dr. Aleksandra Nita-Lazar.
Research focuses on understanding changes in the cell proteome in response to exogenous factors such as pathogen-derived molecules, cytokines, and chemokines and especially on large-scale absolute quantitative measurements of immune cell signaling cascade components and in the characterization of post-translational modification dynamics on a global scale.