Grant Number:	5UH3CA256959-04 Interpret this number
Primary Investigator:	Pasa-Tolic, Ljiljana
Organization:	Battelle Pacific Northwest Laboratories
Project Title:	Spatially Resolved Characterization of Proteoforms for Functional Proteomics
Fiscal Year:	2023

PROJECT SUMMARY/ABSTARCT Differentiated cells have distinctive patterns of epigenetic marks including various post-translational modifications (PTMs) on histones that may work in concert to control transcriptional programs. Since epigenetic marks are often altered following exposure to environmental toxins and play multiple roles in disease pathogenesis, the ability to measure histones in a tissue and cell context is a major analytical objective and challenge. Mass spectrometry (MS) based proteomics is a powerful tool for characterizing histone alterations in multiplexed and non-targeted fashion. However, conventional bottom-up (i.e. peptide-level) MS cannot provide complete characterization of the stoichiometry and combinations of multiple PTMs, and other combinatorial sources of variation, that collectively make up any single gene's set of proteoforms (i.e. functional units of a proteome). Top-down (i.e. proteoform-level) MS addresses this challenge by omitting the proteolysis and thus allowing access to the functional proteoforms. However, top-down MS suffers from low sensitivity and dynamic range due to challenges in separation and detection of large and low-abundance proteins and laborious purification steps required to achive high proteome coverage. This severely limits our ability to analyze small samples and employ top-down MS to generate proteoform-aware images of tissues required for a deeper understanding of human organ functioning in health and disease. We have recently developed nanodroplet sample preparation (nanoPOTS) for highly sensitive bottom-up proteomics and extended this approach to tissue imaging with 100 µm spatial resolution. Herein, we propose to develop and deploy nanoPOTS-based top-down MS to enable characterization of proteoforms in tissue sections with near single cell resolution. To increase the resolution from thousands of cells to near single cell, we will employ advanced MS imaging (MSI) approaches. MSI data will be cross-referenced with global proteomics data obtained via microscale top-down MS of microdissected tissue regions. The UG3 phase efforts will be focused on histones and kidney as a development platform and leverage a unique combination of microscale top-down LCMS, MSI and novel image processing and visualization tools. In the UH3 phase, we will construct comprehensive proteoform-specific maps of multiple tissue types and facilitate multimodal molecular mapping of specific functional units of the kidney by leveraging the HubMAP Consortium ongoing efforts. Successful completion of this research will allow for comprehensive characterization of the full spectrum of proteoforms in tissues and cells thus addressing an important and under- studied area of biology and critical gap in HuBMAP efforts.




Parallel measurement of transcriptomes and proteomes from same single cells using nanodroplet splitting.
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EPub date: 2024-12-05 00:00:00.0.
PMID: 39638780
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Advances in mass spectrometry-enabled multiomics at single-cell resolution.
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Source: Current Opinion In Biotechnology, 2024 Jun; 87, p. 103096.
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PMID: 38432187
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Spatial top-down proteomics for the functional characterization of human kidney.
Authors: Zemaitis K.J. , Fulcher J.M. , Kumar R. , Degnan D.J. , Lewis L.A. , Liao Y.C. , Veličković M. , Williams S.M. , Moore R.J. , Bramer L.M. , et al. .
Source: Biorxiv : The Preprint Server For Biology, 2024-02-13 00:00:00.0; , .
EPub date: 2024-02-13 00:00:00.0.
PMID: 38405958
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Top-down proteomics.
Authors: Roberts D.S. , Loo J.A. , Tsybin Y.O. , Liu X. , Wu S. , Chamot-Rooke J. , Agar J.N. , Paša-Tolić L. , Smith L.M. , Ge Y. .
Source: Nature Reviews. Methods Primers, 2024; 4(1), .
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IsoMatchMS: Open-Source Software for Automated Annotation and Visualization of High Resolution MALDI-MS Spectra.
Authors: Degnan D.J. , Zemaitis K.J. , Lewis L.A. , McCue L.A. , Bramer L.M. , Fulcher J.M. , Veličković D. , Paša-Tolić L. , Zhou M. .
Source: Journal Of The American Society For Mass Spectrometry, 2023-09-06 00:00:00.0; 34(9), p. 2061-2064.
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PMID: 37523489
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Advances and prospects for the Human BioMolecular Atlas Program (HuBMAP).
Authors: Jain S. , Pei L. , Spraggins J.M. , Angelo M. , Carson J.P. , Gehlenborg N. , Ginty F. , Gonçalves J.P. , Hagood J.S. , Hickey J.W. , et al. .
Source: Nature Cell Biology, 2023 Aug; 25(8), p. 1089-1100.
EPub date: 2023-07-19 00:00:00.0.
PMID: 37468756
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Spatially Resolved Top-Down Proteomics of Tissue Sections Based on a Microfluidic Nanodroplet Sample Preparation Platform.
Authors: Liao Y.C. , Fulcher J.M. , Degnan D.J. , Williams S.M. , Bramer L.M. , Veličković D. , Zemaitis K.J. , Veličković M. , Sontag R.L. , Moore R.J. , et al. .
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PMID: 36603806
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193 nm Ultraviolet Photodissociation for the Characterization of Singly Charged Proteoforms Generated by MALDI.
Authors: Zemaitis K.J. , Zhou M. , Kew W. , Paša-Tolić L. .
Source: Journal Of The American Society For Mass Spectrometry, 2023-02-01 00:00:00.0; 34(2), p. 328-332.
EPub date: 2023-01-09 00:00:00.0.
PMID: 36622763
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Enhanced Spatial Mapping of Histone Proteoforms in Human Kidney Through MALDI-MSI by High-Field UHMR-Orbitrap Detection.
Authors: Zemaitis K.J. , Veličković D. , Kew W. , Fort K.L. , Reinhardt-Szyba M. , Pamreddy A. , Ding Y. , Kaushik D. , Sharma K. , Makarov A.A. , et al. .
Source: Analytical Chemistry, 2022-09-20 00:00:00.0; 94(37), p. 12604-12613.
EPub date: 2022-09-06 00:00:00.0.
PMID: 36067026
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