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Items: 31

1.

The Role of TLRs in Anti-cancer Immunity and Tumor Rejection.

Urban-Wojciuk Z, Khan MM, Oyler BL, Fåhraeus R, Marek-Trzonkowska N, Nita-Lazar A, Hupp TR, Goodlett DR.

Front Immunol. 2019 Oct 22;10:2388. doi: 10.3389/fimmu.2019.02388. eCollection 2019. Review.

2.

Lipocalin-2 (Lcn-2) Attenuates Polymicrobial Sepsis with LPS Preconditioning (LPS Tolerance) in FcGRIIb Deficient Lupus Mice.

Ondee T, Gillen J, Visitchanakun P, Somparn P, Issara-Amphorn J, Dang Phi C, Chancharoenthana W, Gurusamy D, Nita-Lazar A, Leelahavanichkul A.

Cells. 2019 Sep 11;8(9). pii: E1064. doi: 10.3390/cells8091064.

3.

Experimental Analysis of Viral-Host Interactions.

Gillen J, Nita-Lazar A.

Front Physiol. 2019 Apr 11;10:425. doi: 10.3389/fphys.2019.00425. eCollection 2019. Review.

4.

Decreased Protein Kinase C-β Type II Associated with the Prominent Endotoxin Exhaustion in the Macrophage of FcGRIIb-/- Lupus Prone Mice is Revealed by Phosphoproteomic Analysis.

Ondee T, Jaroonwitchawan T, Pisitkun T, Gillen J, Nita-Lazar A, Leelahavanichkul A, Somparn P.

Int J Mol Sci. 2019 Mar 18;20(6). pii: E1354. doi: 10.3390/ijms20061354.

5.

Multi-Omics Strategies Uncover Host-Pathogen Interactions.

Khan MM, Ernst O, Manes NP, Oyler BL, Fraser IDC, Goodlett DR, Nita-Lazar A.

ACS Infect Dis. 2019 Apr 12;5(4):493-505. doi: 10.1021/acsinfecdis.9b00080. Epub 2019 Mar 25. Review.

PMID:
30857388
6.

Temporal proteomic profiling reveals changes that support Burkholderia biofilms.

Khan MM, Chattagul S, Tran BQ, Freiberg JA, Nita-Lazar A, Shirtliff ME, Sermswan RW, Ernst RK, Goodlett DR.

Pathog Dis. 2019 Mar 1;77(2). pii: ftz005. doi: 10.1093/femspd/ftz005.

7.

Mass Spectrometry-based Structural Analysis and Systems Immunoproteomics Strategies for Deciphering the Host Response to Endotoxin.

Khan MM, Ernst O, Sun J, Fraser IDC, Ernst RK, Goodlett DR, Nita-Lazar A.

J Mol Biol. 2018 Aug 17;430(17):2641-2660. doi: 10.1016/j.jmb.2018.06.032. Epub 2018 Jun 24. Review.

PMID:
29949751
8.

Host-pathogen dynamics through targeted secretome analysis of stimulated macrophages.

Khan MM, Koppenol-Raab M, Kuriakose M, Manes NP, Goodlett DR, Nita-Lazar A.

J Proteomics. 2018 Oct 30;189:34-38. doi: 10.1016/j.jprot.2018.03.016. Epub 2018 Mar 20.

9.

Application of targeted mass spectrometry in bottom-up proteomics for systems biology research.

Manes NP, Nita-Lazar A.

J Proteomics. 2018 Oct 30;189:75-90. doi: 10.1016/j.jprot.2018.02.008. Epub 2018 Feb 13. Review.

10.

Multi-omics Comparative Analysis Reveals Multiple Layers of Host Signaling Pathway Regulation by the Gut Microbiota.

Manes NP, Shulzhenko N, Nuccio AG, Azeem S, Morgun A, Nita-Lazar A.

mSystems. 2017 Oct 24;2(5). pii: e00107-17. doi: 10.1128/mSystems.00107-17. eCollection 2017 Sep-Oct.

11.

A Methodology for Comprehensive Analysis of Toll-Like Receptor Signaling in Macrophages.

Koppenol-Raab M, Nita-Lazar A.

Methods Mol Biol. 2017;1636:301-312. doi: 10.1007/978-1-4939-7154-1_19.

12.

Internal modifications in the CENP-A nucleosome modulate centromeric dynamics.

Bui M, Pitman M, Nuccio A, Roque S, Donlin-Asp PG, Nita-Lazar A, Papoian GA, Dalal Y.

Epigenetics Chromatin. 2017 Apr 4;10:17. doi: 10.1186/s13072-017-0124-6. eCollection 2017.

13.

Proteome and Secretome Analysis Reveals Differential Post-transcriptional Regulation of Toll-like Receptor Responses.

Koppenol-Raab M, Sjoelund V, Manes NP, Gottschalk RA, Dutta B, Benet ZL, Fraser ID, Nita-Lazar A.

Mol Cell Proteomics. 2017 Apr;16(4 suppl 1):S172-S186. doi: 10.1074/mcp.M116.064261. Epub 2017 Feb 24.

14.

Mass Spectrometry-Based Methodology for Identification of Native Histone Variant Modifications From Mammalian Tissues and Solid Tumors.

Nuccio AG, Bui M, Dalal Y, Nita-Lazar A.

Methods Enzymol. 2017;586:275-290. doi: 10.1016/bs.mie.2016.09.035. Epub 2016 Nov 2.

15.

The development of SRM assays is transforming proteomics research.

Manes NP, Nita-Lazar A.

Proteomics. 2017 Apr;17(7). doi: 10.1002/pmic.201600366. Epub 2016 Nov 30.

PMID:
27718317
16.

Selected Reaction Monitoring Mass Spectrometry for Absolute Protein Quantification.

Manes NP, Mann JM, Nita-Lazar A.

J Vis Exp. 2015 Aug 17;(102):e52959. doi: 10.3791/52959.

17.

Targeted Proteomics-Driven Computational Modeling of Macrophage S1P Chemosensing.

Manes NP, Angermann BR, Koppenol-Raab M, An E, Sjoelund VH, Sun J, Ishii M, Germain RN, Meier-Schellersheim M, Nita-Lazar A.

Mol Cell Proteomics. 2015 Oct;14(10):2661-81. doi: 10.1074/mcp.M115.048918. Epub 2015 Jul 21.

18.

Characterization of functional reprogramming during osteoclast development using quantitative proteomics and mRNA profiling.

An E, Narayanan M, Manes NP, Nita-Lazar A.

Mol Cell Proteomics. 2014 Oct;13(10):2687-704. doi: 10.1074/mcp.M113.034371. Epub 2014 Jul 20.

19.

Phosphoproteome profiling of the macrophage response to different toll-like receptor ligands identifies differences in global phosphorylation dynamics.

Sjoelund V, Smelkinson M, Nita-Lazar A.

J Proteome Res. 2014 Nov 7;13(11):5185-97. doi: 10.1021/pr5002466. Epub 2014 Jun 18.

20.

Cell-cycle-dependent structural transitions in the human CENP-A nucleosome in vivo.

Bui M, Dimitriadis EK, Hoischen C, An E, Quénet D, Giebe S, Nita-Lazar A, Diekmann S, Dalal Y.

Cell. 2012 Jul 20;150(2):317-26. doi: 10.1016/j.cell.2012.05.035.

21.

Rumi functions as both a protein O-glucosyltransferase and a protein O-xylosyltransferase.

Takeuchi H, Fernández-Valdivia RC, Caswell DS, Nita-Lazar A, Rana NA, Garner TP, Weldeghiorghis TK, Macnaughtan MA, Jafar-Nejad H, Haltiwanger RS.

Proc Natl Acad Sci U S A. 2011 Oct 4;108(40):16600-5. doi: 10.1073/pnas.1109696108. Epub 2011 Sep 26.

22.

O-glucose trisaccharide is present at high but variable stoichiometry at multiple sites on mouse Notch1.

Rana NA, Nita-Lazar A, Takeuchi H, Kakuda S, Luther KB, Haltiwanger RS.

J Biol Chem. 2011 Sep 9;286(36):31623-37. doi: 10.1074/jbc.M111.268243. Epub 2011 Jul 8.

23.

Systems biology in immunology: a computational modeling perspective.

Germain RN, Meier-Schellersheim M, Nita-Lazar A, Fraser ID.

Annu Rev Immunol. 2011;29:527-85. doi: 10.1146/annurev-immunol-030409-101317. Review.

24.

Quantitative analysis of phosphorylation-based protein signaling networks in the immune system by mass spectrometry.

Nita-Lazar A.

Wiley Interdiscip Rev Syst Biol Med. 2011 May-Jun;3(3):368-76. doi: 10.1002/wsbm.123. Epub 2010 Sep 10. Review.

25.

Quantitative phosphoproteomics by mass spectrometry: past, present, and future.

Nita-Lazar A, Saito-Benz H, White FM.

Proteomics. 2008 Nov;8(21):4433-43. doi: 10.1002/pmic.200800231. Review.

26.

Methods for analysis of O-linked modifications on epidermal growth factor-like and thrombospondin type 1 repeats.

Nita-Lazar A, Haltiwanger RS.

Methods Enzymol. 2006;417:93-111. Review.

PMID:
17132500
27.

Methods for analysis of unusual forms of O-glycosylation.

Nita-Lazar A, Haltiwanger RS.

Methods Mol Biol. 2006;347:57-68.

PMID:
17072004
28.

Two distinct pathways for O-fucosylation of epidermal growth factor-like or thrombospondin type 1 repeats.

Luo Y, Nita-Lazar A, Haltiwanger RS.

J Biol Chem. 2006 Apr 7;281(14):9385-92. Epub 2006 Feb 7.

29.

Lunatic fringe, manic fringe, and radical fringe recognize similar specificity determinants in O-fucosylated epidermal growth factor-like repeats.

Rampal R, Li AS, Moloney DJ, Georgiou SA, Luther KB, Nita-Lazar A, Haltiwanger RS.

J Biol Chem. 2005 Dec 23;280(51):42454-63. Epub 2005 Oct 12.

30.

Highly conserved O-fucose sites have distinct effects on Notch1 function.

Rampal R, Arboleda-Velasquez JF, Nita-Lazar A, Kosik KS, Haltiwanger RS.

J Biol Chem. 2005 Sep 16;280(37):32133-40. Epub 2005 Jul 1.

31.

Studies on the N-glycosylation of the subunits of oligosaccharyl transferase in Saccharomyces cerevisiae.

Li G, Yan Q, Nita-Lazar A, Haltiwanger RS, Lennarz WJ.

J Biol Chem. 2005 Jan 21;280(3):1864-71. Epub 2004 Oct 26.

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