Contact

  • Academic
    nikhiya@stanford.edu
    University - Student Department: Computer Science Position: Undergraduate
    University - Student Department: Department of Biomedical Data Science Position: Graduate

Additional Info

All Publications

  • Proteomic and glycoproteomic differences associated with prostate cancer in urine Shamsher, N., Garcia-Marques, F., Bermudez, A., Flory, M. R., Pitteri, S. J. AMER ASSOC CANCER RESEARCH. 2024

    View details for DOI 10.1158/1538-7445.AM2024-1839

    View details for Web of Science ID 001252656303187

  • Identification and characterization of intact glycopeptides in human urine. Scientific reports Garcia-Marques, F., Fuller, K., Bermudez, A., Shamsher, N., Zhao, H., Brooks, J. D., Flory, M. R., Pitteri, S. J. 2024; 14 (1): 3716

    Abstract

    Glycoproteins in urine have the potential to provide a rich class of informative molecules for studying human health and disease. Despite this promise, the urine glycoproteome has been largely uncharacterized. Here, we present the analysis of glycoproteins in human urine using LC-MS/MS-based intact glycopeptide analysis, providing both the identification of protein glycosites and characterization of the glycan composition at specific glycosites. Gene enrichment analysis reveals differences in biological processes, cellular components, and molecular functions in the urine glycoproteome versus the urine proteome, as well as differences based on the major glycan class observed on proteins. Meta-heterogeneity of glycosylation is examined on proteins to determine the variation in glycosylation across multiple sites of a given protein with specific examples of individual sites differing from the glycosylation trends in the overall protein. Taken together, this dataset represents a potentially valuable resource as a baseline characterization of glycoproteins in human urine for future urine glycoproteomics studies.

    View details for DOI 10.1038/s41598-024-53299-3

    View details for PubMedID 38355753

    View details for PubMedCentralID PMC10866872

  • QuitPuff: A Simple Method Using Lipid Peroxidative Changes in Saliva to Assess the Risk of Oral Precancerous Lesions and Oral Squamous Cell Carcinoma in Chronic Smokers INDIAN JOURNAL OF MEDICAL AND PAEDIATRIC ONCOLOGY Shamsher, N., Prabhu, C. 2020; 41 (5): 670-676

    View details for DOI 10.4103/ijmpo.ijmpo_127_19

    View details for Web of Science ID 000589620400007

https://orcid.org/0000-0002-1968-310X