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Chu LX, Wang WJ, Gu XP, Wu P, Gao C, Zhang Q, Wu J, Jiang DW, Huang JQ, Ying XW, Shen JM, Jiang Y, Luo LH, Xu JP, Ying YB, Chen HM, Fang A, Feng ZY, An SH, Li XK, Wang ZG. Spatiotemporal multi-omics: exploring molecular landscapes in aging and regenerative medicine. Mil Med Res 2024; 11:31. [PMID: 38797843 PMCID: PMC11129507 DOI: 10.1186/s40779-024-00537-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 05/07/2024] [Indexed: 05/29/2024] Open
Abstract
Aging and regeneration represent complex biological phenomena that have long captivated the scientific community. To fully comprehend these processes, it is essential to investigate molecular dynamics through a lens that encompasses both spatial and temporal dimensions. Conventional omics methodologies, such as genomics and transcriptomics, have been instrumental in identifying critical molecular facets of aging and regeneration. However, these methods are somewhat limited, constrained by their spatial resolution and their lack of capacity to dynamically represent tissue alterations. The advent of emerging spatiotemporal multi-omics approaches, encompassing transcriptomics, proteomics, metabolomics, and epigenomics, furnishes comprehensive insights into these intricate molecular dynamics. These sophisticated techniques facilitate accurate delineation of molecular patterns across an array of cells, tissues, and organs, thereby offering an in-depth understanding of the fundamental mechanisms at play. This review meticulously examines the significance of spatiotemporal multi-omics in the realms of aging and regeneration research. It underscores how these methodologies augment our comprehension of molecular dynamics, cellular interactions, and signaling pathways. Initially, the review delineates the foundational principles underpinning these methods, followed by an evaluation of their recent applications within the field. The review ultimately concludes by addressing the prevailing challenges and projecting future advancements in the field. Indubitably, spatiotemporal multi-omics are instrumental in deciphering the complexities inherent in aging and regeneration, thus charting a course toward potential therapeutic innovations.
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Affiliation(s)
- Liu-Xi Chu
- Affiliated Cixi Hospital, Wenzhou Medical University, Ningbo, 315300, Zhejiang, China
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China
- National Key Laboratory of Macromolecular Drug Development and Manufacturing, School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China
| | - Wen-Jia Wang
- State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Xin-Pei Gu
- School of Pharmaceutical Sciences, Guangdong Provincial Key Laboratory of New Drug Screening, Southern Medical University, Guangzhou, 510515, China
- Department of Human Anatomy, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271000, Shandong, China
| | - Ping Wu
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China
- National Key Laboratory of Macromolecular Drug Development and Manufacturing, School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China
| | - Chen Gao
- State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Quan Zhang
- Integrative Muscle Biology Laboratory, Division of Regenerative and Rehabilitative Sciences, University of Tennessee Health Science Center, Memphis, TN, 38163, United States
| | - Jia Wu
- Key Laboratory for Laboratory Medicine, Ministry of Education, Zhejiang Provincial Key Laboratory of Medical Genetics, School of Laboratory Medicine and Life Science, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China
| | - Da-Wei Jiang
- Affiliated Cixi Hospital, Wenzhou Medical University, Ningbo, 315300, Zhejiang, China
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China
- National Key Laboratory of Macromolecular Drug Development and Manufacturing, School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China
| | - Jun-Qing Huang
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China
- National Key Laboratory of Macromolecular Drug Development and Manufacturing, School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China
- Key Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research, Institute of Imaging Diagnosis and Minimally Invasive Intervention Research, the Fifth Affiliated Hospital of Wenzhou Medical University, Lishui Hospital of Zhejiang University, Lishui, 323000, Zhejiang, China
| | - Xin-Wang Ying
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China
- National Key Laboratory of Macromolecular Drug Development and Manufacturing, School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China
| | - Jia-Men Shen
- National Key Laboratory of Macromolecular Drug Development and Manufacturing, School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China
| | - Yi Jiang
- National Key Laboratory of Macromolecular Drug Development and Manufacturing, School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China
| | - Li-Hua Luo
- School and Hospital of Stomatology, Wenzhou Medical University, Wenzhou, 324025, Zhejiang, China
| | - Jun-Peng Xu
- Affiliated Cixi Hospital, Wenzhou Medical University, Ningbo, 315300, Zhejiang, China
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China
- National Key Laboratory of Macromolecular Drug Development and Manufacturing, School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China
| | - Yi-Bo Ying
- National Key Laboratory of Macromolecular Drug Development and Manufacturing, School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China
| | - Hao-Man Chen
- National Key Laboratory of Macromolecular Drug Development and Manufacturing, School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China
| | - Ao Fang
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China
- National Key Laboratory of Macromolecular Drug Development and Manufacturing, School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China
| | - Zun-Yong Feng
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China.
- National Key Laboratory of Macromolecular Drug Development and Manufacturing, School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China.
- Departments of Diagnostic Radiology, Surgery, Chemical and Biomolecular Engineering, and Biomedical Engineering, Yong Loo Lin School of Medicine and College of Design and Engineering, National University of Singapore, Singapore, 119074, Singapore.
- Clinical Imaging Research Centre, Centre for Translational Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117599, Singapore.
- Nanomedicine Translational Research Program, NUS Center for Nanomedicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore.
- Institute of Molecular and Cell Biology, Agency for Science, Technology, and Research (A*STAR), Singapore, 138673, Singapore.
| | - Shu-Hong An
- Department of Human Anatomy, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271000, Shandong, China.
| | - Xiao-Kun Li
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China.
- National Key Laboratory of Macromolecular Drug Development and Manufacturing, School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China.
| | - Zhou-Guang Wang
- Affiliated Cixi Hospital, Wenzhou Medical University, Ningbo, 315300, Zhejiang, China.
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China.
- National Key Laboratory of Macromolecular Drug Development and Manufacturing, School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China.
- Key Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research, Institute of Imaging Diagnosis and Minimally Invasive Intervention Research, the Fifth Affiliated Hospital of Wenzhou Medical University, Lishui Hospital of Zhejiang University, Lishui, 323000, Zhejiang, China.
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2
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Joshi SK, Piehowski P, Liu T, Gosline SJC, McDermott JE, Druker BJ, Traer E, Tyner JW, Agarwal A, Tognon CE, Rodland KD. Mass Spectrometry-Based Proteogenomics: New Therapeutic Opportunities for Precision Medicine. Annu Rev Pharmacol Toxicol 2024; 64:455-479. [PMID: 37738504 PMCID: PMC10950354 DOI: 10.1146/annurev-pharmtox-022723-113921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/24/2023]
Abstract
Proteogenomics refers to the integration of comprehensive genomic, transcriptomic, and proteomic measurements from the same samples with the goal of fully understanding the regulatory processes converting genotypes to phenotypes, often with an emphasis on gaining a deeper understanding of disease processes. Although specific genetic mutations have long been known to drive the development of multiple cancers, gene mutations alone do not always predict prognosis or response to targeted therapy. The benefit of proteogenomics research is that information obtained from proteins and their corresponding pathways provides insight into therapeutic targets that can complement genomic information by providing an additional dimension regarding the underlying mechanisms and pathophysiology of tumors. This review describes the novel insights into tumor biology and drug resistance derived from proteogenomic analysis while highlighting the clinical potential of proteogenomic observations and advances in technique and analysis tools.
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Affiliation(s)
- Sunil K Joshi
- Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon, USA;
- Division of Hematology and Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, Oregon, USA
- Department of Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Paul Piehowski
- Pacific Northwest National Laboratory, Richland, Washington, USA
| | - Tao Liu
- Pacific Northwest National Laboratory, Richland, Washington, USA
| | - Sara J C Gosline
- Pacific Northwest National Laboratory, Richland, Washington, USA
| | - Jason E McDermott
- Pacific Northwest National Laboratory, Richland, Washington, USA
- Department of Molecular Microbiology and Immunology, Oregon Health & Science University, Portland, Oregon, USA
| | - Brian J Druker
- Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon, USA;
- Division of Hematology and Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, Oregon, USA
| | - Elie Traer
- Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon, USA;
- Division of Hematology and Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, Oregon, USA
| | - Jeffrey W Tyner
- Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon, USA;
- Division of Hematology and Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, Oregon, USA
- Department of Molecular Microbiology and Immunology, Oregon Health & Science University, Portland, Oregon, USA
| | - Anupriya Agarwal
- Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon, USA;
- Division of Hematology and Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, Oregon, USA
- Department of Molecular Microbiology and Immunology, Oregon Health & Science University, Portland, Oregon, USA
| | - Cristina E Tognon
- Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon, USA;
- Division of Hematology and Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, Oregon, USA
| | - Karin D Rodland
- Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon, USA;
- Pacific Northwest National Laboratory, Richland, Washington, USA
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3
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Tijhuis AE, Foijer F. Characterizing chromosomal instability-driven cancer evolution and cell fitness at a glance. J Cell Sci 2024; 137:jcs260199. [PMID: 38224461 DOI: 10.1242/jcs.260199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2024] Open
Abstract
Chromosomal instability (CIN), an increased rate of chromosome segregation errors during mitosis, is a hallmark of cancer cells. CIN leads to karyotype differences between cells and thus large-scale heterogeneity among individual cancer cells; therefore, it plays an important role in cancer evolution. Studying CIN and its consequences is technically challenging, but various technologies have been developed to track karyotype dynamics during tumorigenesis, trace clonal lineages and link genomic changes to cancer phenotypes at single-cell resolution. These methods provide valuable insight not only into the role of CIN in cancer progression, but also into cancer cell fitness. In this Cell Science at a Glance article and the accompanying poster, we discuss the relationship between CIN, cancer cell fitness and evolution, and highlight techniques that can be used to study the relationship between these factors. To that end, we explore methods of assessing cancer cell fitness, particularly for chromosomally unstable cancer.
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Affiliation(s)
- Andréa E Tijhuis
- European Research Institute for the Biology of Ageing , University Medical Center Groningen, University of Groningen,9713 AV Groningen, The Netherlands
| | - Floris Foijer
- European Research Institute for the Biology of Ageing , University Medical Center Groningen, University of Groningen,9713 AV Groningen, The Netherlands
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4
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Davis S, Scott C, Oetjen J, Charles PD, Kessler BM, Ansorge O, Fischer R. Deep topographic proteomics of a human brain tumour. Nat Commun 2023; 14:7710. [PMID: 38001067 PMCID: PMC10673928 DOI: 10.1038/s41467-023-43520-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 11/13/2023] [Indexed: 11/26/2023] Open
Abstract
The spatial organisation of cellular protein expression profiles within tissue determines cellular function and is key to understanding disease pathology. To define molecular phenotypes in the spatial context of tissue, there is a need for unbiased, quantitative technology capable of mapping proteomes within tissue structures. Here, we present a workflow for spatially-resolved, quantitative proteomics of tissue that generates maps of protein abundance across tissue slices derived from a human atypical teratoid-rhabdoid tumour at three spatial resolutions, the highest being 40 µm, to reveal distinct abundance patterns of thousands of proteins. We employ spatially-aware algorithms that do not require prior knowledge of the fine tissue structure to detect proteins and pathways with spatial abundance patterns and correlate proteins in the context of tissue heterogeneity and cellular features such as extracellular matrix or proximity to blood vessels. We identify PYGL, ASPH and CD45 as spatial markers for tumour boundary and reveal immune response-driven, spatially-organised protein networks of the extracellular tumour matrix. Overall, we demonstrate spatially-aware deep proteo-phenotyping of tissue heterogeneity, to re-define understanding tissue biology and pathology at the molecular level.
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Affiliation(s)
- Simon Davis
- Target Discovery Institute, Centre for Medicines Discovery, Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford, OX3 7FZ, UK
- Chinese Academy for Medical Sciences Oxford Institute, Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford, OX3 7FZ, UK
| | - Connor Scott
- Academic Unit of Neuropathology, Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, UK
| | - Janina Oetjen
- Bruker Daltonics GmbH & Co. KG, Fahrenheitstraße 4, 28359, Bremen, Germany
| | - Philip D Charles
- Target Discovery Institute, Centre for Medicines Discovery, Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford, OX3 7FZ, UK
- Big Data Institute, Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford, OX3 7FZ, UK
| | - Benedikt M Kessler
- Target Discovery Institute, Centre for Medicines Discovery, Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford, OX3 7FZ, UK
- Chinese Academy for Medical Sciences Oxford Institute, Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford, OX3 7FZ, UK
| | - Olaf Ansorge
- Academic Unit of Neuropathology, Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, UK
| | - Roman Fischer
- Target Discovery Institute, Centre for Medicines Discovery, Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford, OX3 7FZ, UK.
- Chinese Academy for Medical Sciences Oxford Institute, Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford, OX3 7FZ, UK.
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5
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Kitata RB, Velickovic M, Xu Z, Zhao R, Scholten D, Chu RK, Orton DJ, Chrisler WB, Mathews JV, Piehowski PD, Liu T, Smith RD, Liu H, Wasserfall CH, Tsai CF, Shi T. Robust collection and processing for label-free single voxel proteomics. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.14.553333. [PMID: 37645907 PMCID: PMC10462033 DOI: 10.1101/2023.08.14.553333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
With advanced mass spectrometry (MS)-based proteomics, genome-scale proteome coverage can be achieved from bulk tissues. However, such bulk measurement lacks spatial resolution and obscures important tissue heterogeneity, which make it impossible for proteome mapping of tissue microenvironment. Here we report an integrated wet collection of single tissue voxel and Surfactant-assisted One-Pot voxel processing method termed wcSOP for robust label-free single voxel proteomics. wcSOP capitalizes on buffer droplet-assisted wet collection of single tissue voxel dissected by LCM into the PCR tube cap and MS-compatible surfactant-assisted one-pot voxel processing in the collection cap. This convenient method allows reproducible label-free quantification of ∼900 and ∼4,600 proteins for single voxel from fresh frozen human spleen tissue at 20 μm × 20 μm × 10 μm (close to single cells) and 200 μm × 200 μm × 10 μm (∼100 cells), respectively. 100s-1000s of protein signatures with differential expression levels were identified to be spatially resolved between spleen red and white pulp regions depending on the voxel size. Region-specific signaling pathways were enriched from single voxel proteomics data. Antibody-based CODEX imaging was used to validate label-free MS quantitation for single voxel analysis. The wcSOP-MS method paves the way for routine robust single voxel proteomics and spatial proteomics.
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6
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Gosline SJC, Veličković M, Pino JC, Day LZ, Attah IK, Swensen AC, Danna V, Posso C, Rodland KD, Chen J, Matthews CE, Campbell-Thompson M, Laskin J, Burnum-Johnson K, Zhu Y, Piehowski PD. Proteome Mapping of the Human Pancreatic Islet Microenvironment Reveals Endocrine-Exocrine Signaling Sphere of Influence. Mol Cell Proteomics 2023; 22:100592. [PMID: 37328065 PMCID: PMC10460696 DOI: 10.1016/j.mcpro.2023.100592] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 04/24/2023] [Accepted: 06/05/2023] [Indexed: 06/18/2023] Open
Abstract
The need for a clinically accessible method with the ability to match protein activity within heterogeneous tissues is currently unmet by existing technologies. Our proteomics sample preparation platform, named microPOTS (Microdroplet Processing in One pot for Trace Samples), can be used to measure relative protein abundance in micron-scale samples alongside the spatial location of each measurement, thereby tying biologically interesting proteins and pathways to distinct regions. However, given the smaller pixel/voxel number and amount of tissue measured, standard mass spectrometric analysis pipelines have proven inadequate. Here we describe how existing computational approaches can be adapted to focus on the specific biological questions asked in spatial proteomics experiments. We apply this approach to present an unbiased characterization of the human islet microenvironment comprising the entire complex array of cell types involved while maintaining spatial information and the degree of the islet's sphere of influence. We identify specific functional activity unique to the pancreatic islet cells and demonstrate how far their signature can be detected in the adjacent tissue. Our results show that we can distinguish pancreatic islet cells from the neighboring exocrine tissue environment, recapitulate known biological functions of islet cells, and identify a spatial gradient in the expression of RNA processing proteins within the islet microenvironment.
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Affiliation(s)
- Sara J C Gosline
- Pacific Northwest National Laboratories, Richland, Washington, USA
| | | | - James C Pino
- Pacific Northwest National Laboratories, Richland, Washington, USA
| | - Le Z Day
- Pacific Northwest National Laboratories, Richland, Washington, USA
| | - Isaac K Attah
- Pacific Northwest National Laboratories, Richland, Washington, USA
| | - Adam C Swensen
- Pacific Northwest National Laboratories, Richland, Washington, USA
| | - Vincent Danna
- Pacific Northwest National Laboratories, Richland, Washington, USA
| | - Camilo Posso
- Pacific Northwest National Laboratories, Richland, Washington, USA
| | - Karin D Rodland
- Pacific Northwest National Laboratories, Richland, Washington, USA
| | - Jing Chen
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, Florida, USA
| | - Clayton E Matthews
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, Florida, USA
| | - Martha Campbell-Thompson
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, Florida, USA
| | - Julia Laskin
- Department of Chemistry, Purdue University, West Lafayette, Indiana, USA
| | | | - Ying Zhu
- Pacific Northwest National Laboratories, Richland, Washington, USA
| | - Paul D Piehowski
- Pacific Northwest National Laboratories, Richland, Washington, USA.
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7
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Abstract
The biology of a cell, whether it is a unicellular organism or part of a multicellular network, is influenced by cell type, temporal changes in cell state, and the cell's environment. Spatial cues play a critical role in the regulation of microbial pathogenesis strategies. Information about where the pathogen is-in a tissue or in proximity to a host cell-regulates gene expression and the compartmentalization of gene products in the microbe and the host. Our understanding of host and pathogen identity has bloomed with the accessibility of transcriptomics and proteomics techniques. A missing piece of the puzzle has been our ability to evaluate global transcript and protein expression in the context of the subcellular niche, primary cell, or native tissue environment during infection. This barrier is now lower with the advent of new spatial omics techniques to understand how location regulates cellular functions. This review will discuss how recent advances in spatial proteomics and transcriptomics approaches can address outstanding questions in microbial pathogenesis.
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Affiliation(s)
- Samantha Lempke
- Department of Microbiology, Immunology, and Cancer Biology at the Carter Immunology Center, University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | - Dana May
- Department of Microbiology, Immunology, and Cancer Biology at the Carter Immunology Center, University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | - Sarah E. Ewald
- Department of Microbiology, Immunology, and Cancer Biology at the Carter Immunology Center, University of Virginia School of Medicine, Charlottesville, Virginia, USA
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8
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Frando A, Boradia V, Gritsenko M, Beltejar C, Day L, Sherman DR, Ma S, Jacobs JM, Grundner C. The Mycobacterium tuberculosis protein O-phosphorylation landscape. Nat Microbiol 2023; 8:548-561. [PMID: 36690861 PMCID: PMC11376436 DOI: 10.1038/s41564-022-01313-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 12/16/2022] [Indexed: 01/25/2023]
Abstract
Bacterial phosphosignalling has been synonymous with two-component systems and their histidine kinases, but many bacteria, including Mycobacterium tuberculosis (Mtb), also code for Ser/Thr protein kinases (STPKs). STPKs are the main phosphosignalling enzymes in eukaryotes but the full extent of phosphorylation on protein Ser/Thr and Tyr (O-phosphorylation) in bacteria is untested. Here we explored the global signalling capacity of the STPKs in Mtb using a panel of STPK loss-of-function and overexpression strains combined with mass spectrometry-based phosphoproteomics. A deep phosphoproteome with >14,000 unique phosphosites shows that O-phosphorylation in Mtb is a vastly underexplored protein modification that affects >80% of the proteome and extensively interfaces with the transcriptional machinery. Mtb O-phosphorylation gives rise to an expansive, distributed and cooperative network of a complexity that has not previously been seen in bacteria and that is on par with eukaryotic phosphosignalling networks. A resource of >3,700 high-confidence direct substrate-STPK interactions and their transcriptional effects provides signalling context for >80% of Mtb proteins and allows the prediction and assembly of signalling pathways for mycobacterial physiology.
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Affiliation(s)
- Andrew Frando
- Center for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, WA, USA
- Department of Global Health, University of Washington, Seattle, WA, USA
| | - Vishant Boradia
- Center for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, WA, USA
| | | | - Claude Beltejar
- Center for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, WA, USA
| | - Le Day
- Pacific Northwest National Laboratory, Richland, WA, USA
| | - David R Sherman
- Department of Microbiology, University of Washington, Seattle, WA, USA
| | - Shuyi Ma
- Center for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, WA, USA
- Department of Global Health, University of Washington, Seattle, WA, USA
- Department of Chemical Engineering, University of Washington, Seattle, WA, USA
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Jon M Jacobs
- Pacific Northwest National Laboratory, Richland, WA, USA
| | - Christoph Grundner
- Center for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, WA, USA.
- Department of Global Health, University of Washington, Seattle, WA, USA.
- Department of Pediatrics, University of Washington, Seattle, WA, USA.
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9
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Li L, Sun C, Sun Y, Dong Z, Wu R, Sun X, Zhang H, Jiang W, Zhou Y, Cen X, Cai S, Xia H, Zhu Y, Guo T, Piatkevich KD. Spatially resolved proteomics via tissue expansion. Nat Commun 2022; 13:7242. [PMID: 36450705 PMCID: PMC9712279 DOI: 10.1038/s41467-022-34824-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 11/04/2022] [Indexed: 12/12/2022] Open
Abstract
Spatially resolved proteomics is an emerging approach for mapping proteome heterogeneity of biological samples, however, it remains technically challenging due to the complexity of the tissue microsampling techniques and mass spectrometry analysis of nanoscale specimen volumes. Here, we describe a spatially resolved proteomics method based on the combination of tissue expansion with mass spectrometry-based proteomics, which we call Expansion Proteomics (ProteomEx). ProteomEx enables quantitative profiling of the spatial variability of the proteome in mammalian tissues at ~160 µm lateral resolution, equivalent to the tissue volume of 0.61 nL, using manual microsampling without the need for custom or special equipment. We validated and demonstrated the utility of ProteomEx for streamlined large-scale proteomics profiling of biological tissues including brain, liver, and breast cancer. We further applied ProteomEx for identifying proteins associated with Alzheimer's disease in a mouse model by comparative proteomic analysis of brain subregions.
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Affiliation(s)
- Lu Li
- grid.494629.40000 0004 8008 9315Research Center for Industries of the Future and School of Life Sciences, Westlake University, 600 Dunyu Road, Hangzhou, Zhejiang 310030 China ,grid.494629.40000 0004 8008 9315Westlake Laboratory of Life Sciences and Biomedicine, 18 Shilongshan Road, Hangzhou, 310024 Zhejiang China ,grid.494629.40000 0004 8008 9315Key Laboratory of Structural Biology of Zhejiang Province, Westlake University, 18 Shilongshan Road, Hangzhou, 310024 Zhejiang China ,grid.494629.40000 0004 8008 9315Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou, 310024 Zhejiang China ,grid.13402.340000 0004 1759 700XCollege of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310024 Zhejiang China
| | - Cuiji Sun
- grid.494629.40000 0004 8008 9315Research Center for Industries of the Future and School of Life Sciences, Westlake University, 600 Dunyu Road, Hangzhou, Zhejiang 310030 China ,grid.494629.40000 0004 8008 9315Westlake Laboratory of Life Sciences and Biomedicine, 18 Shilongshan Road, Hangzhou, 310024 Zhejiang China ,grid.494629.40000 0004 8008 9315Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou, 310024 Zhejiang China
| | - Yaoting Sun
- grid.494629.40000 0004 8008 9315Research Center for Industries of the Future and School of Life Sciences, Westlake University, 600 Dunyu Road, Hangzhou, Zhejiang 310030 China ,grid.494629.40000 0004 8008 9315Westlake Laboratory of Life Sciences and Biomedicine, 18 Shilongshan Road, Hangzhou, 310024 Zhejiang China ,grid.494629.40000 0004 8008 9315Key Laboratory of Structural Biology of Zhejiang Province, Westlake University, 18 Shilongshan Road, Hangzhou, 310024 Zhejiang China ,grid.494629.40000 0004 8008 9315Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou, 310024 Zhejiang China
| | - Zhen Dong
- grid.494629.40000 0004 8008 9315Research Center for Industries of the Future and School of Life Sciences, Westlake University, 600 Dunyu Road, Hangzhou, Zhejiang 310030 China ,grid.494629.40000 0004 8008 9315Westlake Laboratory of Life Sciences and Biomedicine, 18 Shilongshan Road, Hangzhou, 310024 Zhejiang China ,grid.494629.40000 0004 8008 9315Key Laboratory of Structural Biology of Zhejiang Province, Westlake University, 18 Shilongshan Road, Hangzhou, 310024 Zhejiang China ,grid.494629.40000 0004 8008 9315Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou, 310024 Zhejiang China
| | - Runxin Wu
- grid.494629.40000 0004 8008 9315Research Center for Industries of the Future and School of Life Sciences, Westlake University, 600 Dunyu Road, Hangzhou, Zhejiang 310030 China ,grid.494629.40000 0004 8008 9315Westlake Laboratory of Life Sciences and Biomedicine, 18 Shilongshan Road, Hangzhou, 310024 Zhejiang China ,grid.494629.40000 0004 8008 9315Key Laboratory of Structural Biology of Zhejiang Province, Westlake University, 18 Shilongshan Road, Hangzhou, 310024 Zhejiang China ,grid.494629.40000 0004 8008 9315Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou, 310024 Zhejiang China ,grid.21107.350000 0001 2171 9311Whiting School of Engineering, Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218 USA
| | - Xiaoting Sun
- grid.494629.40000 0004 8008 9315Research Center for Industries of the Future and School of Life Sciences, Westlake University, 600 Dunyu Road, Hangzhou, Zhejiang 310030 China ,grid.494629.40000 0004 8008 9315Westlake Laboratory of Life Sciences and Biomedicine, 18 Shilongshan Road, Hangzhou, 310024 Zhejiang China ,grid.494629.40000 0004 8008 9315Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou, 310024 Zhejiang China
| | - Hanbin Zhang
- grid.494629.40000 0004 8008 9315Research Center for Industries of the Future and School of Life Sciences, Westlake University, 600 Dunyu Road, Hangzhou, Zhejiang 310030 China ,grid.494629.40000 0004 8008 9315Westlake Laboratory of Life Sciences and Biomedicine, 18 Shilongshan Road, Hangzhou, 310024 Zhejiang China ,grid.494629.40000 0004 8008 9315Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou, 310024 Zhejiang China
| | - Wenhao Jiang
- grid.494629.40000 0004 8008 9315Research Center for Industries of the Future and School of Life Sciences, Westlake University, 600 Dunyu Road, Hangzhou, Zhejiang 310030 China ,grid.494629.40000 0004 8008 9315Westlake Laboratory of Life Sciences and Biomedicine, 18 Shilongshan Road, Hangzhou, 310024 Zhejiang China ,grid.494629.40000 0004 8008 9315Key Laboratory of Structural Biology of Zhejiang Province, Westlake University, 18 Shilongshan Road, Hangzhou, 310024 Zhejiang China ,grid.494629.40000 0004 8008 9315Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou, 310024 Zhejiang China
| | - Yan Zhou
- grid.494629.40000 0004 8008 9315Research Center for Industries of the Future and School of Life Sciences, Westlake University, 600 Dunyu Road, Hangzhou, Zhejiang 310030 China ,grid.494629.40000 0004 8008 9315Westlake Laboratory of Life Sciences and Biomedicine, 18 Shilongshan Road, Hangzhou, 310024 Zhejiang China ,grid.494629.40000 0004 8008 9315Key Laboratory of Structural Biology of Zhejiang Province, Westlake University, 18 Shilongshan Road, Hangzhou, 310024 Zhejiang China ,grid.494629.40000 0004 8008 9315Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou, 310024 Zhejiang China
| | - Xufeng Cen
- grid.13402.340000 0004 1759 700XDepartment of Biochemistry & Molecular Medical Center, Zhejiang University School of Medicine, Hangzhou, 310058 China
| | - Shang Cai
- grid.494629.40000 0004 8008 9315Research Center for Industries of the Future and School of Life Sciences, Westlake University, 600 Dunyu Road, Hangzhou, Zhejiang 310030 China ,grid.494629.40000 0004 8008 9315Westlake Laboratory of Life Sciences and Biomedicine, 18 Shilongshan Road, Hangzhou, 310024 Zhejiang China
| | - Hongguang Xia
- grid.13402.340000 0004 1759 700XDepartment of Biochemistry & Molecular Medical Center, Zhejiang University School of Medicine, Hangzhou, 310058 China ,grid.452661.20000 0004 1803 6319Research Center for Clinical Pharmacy & Key Laboratory for Drug Evaluation and Clinical Research of Zhejiang Province, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003 China ,grid.13402.340000 0004 1759 700XZhejiang Laboratory for Systems & Precision Medicine, Zhejiang University Medical Center, 1369 West Wenyi Road, Hangzhou, 311121 China
| | - Yi Zhu
- grid.494629.40000 0004 8008 9315Research Center for Industries of the Future and School of Life Sciences, Westlake University, 600 Dunyu Road, Hangzhou, Zhejiang 310030 China ,grid.494629.40000 0004 8008 9315Westlake Laboratory of Life Sciences and Biomedicine, 18 Shilongshan Road, Hangzhou, 310024 Zhejiang China ,grid.494629.40000 0004 8008 9315Key Laboratory of Structural Biology of Zhejiang Province, Westlake University, 18 Shilongshan Road, Hangzhou, 310024 Zhejiang China ,grid.494629.40000 0004 8008 9315Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou, 310024 Zhejiang China
| | - Tiannan Guo
- grid.494629.40000 0004 8008 9315Research Center for Industries of the Future and School of Life Sciences, Westlake University, 600 Dunyu Road, Hangzhou, Zhejiang 310030 China ,grid.494629.40000 0004 8008 9315Westlake Laboratory of Life Sciences and Biomedicine, 18 Shilongshan Road, Hangzhou, 310024 Zhejiang China ,grid.494629.40000 0004 8008 9315Key Laboratory of Structural Biology of Zhejiang Province, Westlake University, 18 Shilongshan Road, Hangzhou, 310024 Zhejiang China ,grid.494629.40000 0004 8008 9315Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou, 310024 Zhejiang China
| | - Kiryl D. Piatkevich
- grid.494629.40000 0004 8008 9315Research Center for Industries of the Future and School of Life Sciences, Westlake University, 600 Dunyu Road, Hangzhou, Zhejiang 310030 China ,grid.494629.40000 0004 8008 9315Westlake Laboratory of Life Sciences and Biomedicine, 18 Shilongshan Road, Hangzhou, 310024 Zhejiang China ,grid.494629.40000 0004 8008 9315Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou, 310024 Zhejiang China
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10
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Lin A, Piehowski PD, Tsai CF, Makushok T, Yi L, Diaz U, Yan C, Summers D, Sood P, Smith RD, Liu T, Marshall WF. Determining protein polarization proteome-wide using physical dissection of individual Stentor coeruleus cells. Curr Biol 2022; 32:2300-2308.e4. [PMID: 35447087 PMCID: PMC9133221 DOI: 10.1016/j.cub.2022.03.078] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 03/08/2022] [Accepted: 03/30/2022] [Indexed: 12/18/2022]
Abstract
Cellular components are non-randomly arranged with respect to the shape and polarity of the whole cell.1-4 Patterning within cells can extend down to the level of individual proteins and mRNA.5,6 But how much of the proteome is actually localized with respect to cell polarity axes? Proteomics combined with cellular fractionation7-11 has shown that most proteins localize to one or more organelles but does not tell us how many proteins have a polarized localization with respect to the large-scale polarity axes of the intact cell. Genome-wide localization studies in yeast12-15 found that only a few percent of proteins have a localized position relative to the cell polarity axis defined by sites of polarized cell growth. Here, we describe an approach for analyzing protein distribution within a cell with a visibly obvious global patterning-the giant ciliate Stentor coeruleus.16,17 Ciliates, including Stentor, have highly polarized cell shapes with visible surface patterning.1,18 A Stentor cell is roughly 2 mm long, allowing a "proteomic dissection" in which microsurgery is used to separate cellular fragments along the anterior-posterior axis, followed by comparative proteomic analysis. In our analysis, 25% of the proteome, including signaling proteins, centrin/SFI proteins, and GAS2 orthologs, shows a polarized location along the cell's anterior-posterior axis. We conclude that a large proportion of all proteins are polarized with respect to global cell polarity axes and that proteomic dissection provides a simple and effective approach for spatial proteomics.
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Affiliation(s)
- Athena Lin
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Paul D Piehowski
- Biological Science Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA
| | - Chia-Feng Tsai
- Biological Science Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA
| | - Tatyana Makushok
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Lian Yi
- Biological Science Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA
| | - Ulises Diaz
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Connie Yan
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Diana Summers
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Pranidhi Sood
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Richard D Smith
- Biological Science Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA
| | - Tao Liu
- Biological Science Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA
| | - Wallace F Marshall
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA 94158, USA; Chan Zuckerberg Biohub, San Francisco, CA 94158, United States of America.
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11
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Lubeckyj RA, Sun L. Laser capture microdissection-capillary zone electrophoresis-tandem mass spectrometry (LCM-CZE-MS/MS) for spatially resolved top-down proteomics: a pilot study of zebrafish brain. Mol Omics 2022; 18:112-122. [PMID: 34935839 PMCID: PMC9066772 DOI: 10.1039/d1mo00335f] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Mass spectrometry (MS)-based spatially resolved top-down proteomics (TDP) of tissues is crucial for understanding the roles played by microenvironmental heterogeneity in the biological functions of organs and for discovering new proteoform biomarkers of diseases. There are few published spatially resolved TDP studies. One of the challenges relates to the limited performance of TDP for the analysis of spatially isolated samples using, for example, laser capture microdissection (LCM) because those samples are usually mass-limited. We present the first pilot study of LCM-capillary zone electrophoresis (CZE)-MS/MS for spatially resolved TDP and used zebrafish brain as the sample. The LCM-CZE-MS/MS platform employed a non-ionic detergent and a freeze-thaw method for efficient proteoform extraction from LCM isolated brain sections followed by CZE-MS/MS without any sample cleanup step, ensuring high sensitivity. Over 400 proteoforms were identified in a CZE-MS/MS analysis of one LCM brain section via consuming the protein content of roughly 250 cells. We observed drastic differences in proteoform profiles between two LCM brain sections isolated from the optic tectum (Teo) and telencephalon (Tel) regions. Proteoforms of three proteins (npy, penkb, and pyya) having neuropeptide hormone activity were exclusively identified in the isolated Tel section. Proteoforms of reticulon, myosin, and troponin were almost exclusively identified in the isolated Teo section, and those proteins play essential roles in visual and motor activities. The proteoform profiles accurately reflected the main biological functions of the Teo and Tel regions of the brain. Additionally, hundreds of post-translationally modified proteoforms were identified.
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Affiliation(s)
| | - Liangliang Sun
- Department of Chemistry, Michigan State University, 578 S Shaw Ln, East Lansing, MI 48824, USA.
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12
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Capturing the third dimension in drug discovery: Spatially-resolved tools for interrogation of complex 3D cell models. Biotechnol Adv 2021; 55:107883. [PMID: 34875362 DOI: 10.1016/j.biotechadv.2021.107883] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 11/22/2021] [Accepted: 11/30/2021] [Indexed: 02/07/2023]
Abstract
Advanced three-dimensional (3D) cell models have proven to be capable of depicting architectural and microenvironmental features of several tissues. By providing data of higher physiological and pathophysiological relevance, 3D cell models have been contributing to a better understanding of human development, pathology onset and progression mechanisms, as well as for 3D cell-based assays for drug discovery. Nonetheless, the characterization and interrogation of these tissue-like structures pose major challenges on the conventional analytical methods, pushing the development of spatially-resolved technologies. Herein, we review recent advances and pioneering technologies suitable for the interrogation of multicellular 3D models, while capable of retaining biological spatial information. We focused on imaging technologies and omics tools, namely transcriptomics, proteomics and metabolomics. The advantages and shortcomings of these novel methodologies are discussed, alongside the opportunities to intertwine data from the different tools.
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13
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Lawal RO, Richardson LT, Dong C, Donnarumma F, Solouki T, Murray KK. Deep-ultraviolet laser ablation sampling for proteomic analysis of tissue. Anal Chim Acta 2021; 1184:339021. [PMID: 34625253 DOI: 10.1016/j.aca.2021.339021] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 07/29/2021] [Accepted: 08/30/2021] [Indexed: 01/22/2023]
Abstract
Deep-ultraviolet laser ablation with a pulsed 193 nm ArF excimer laser was used to remove localized regions from tissue sections from which proteins were extracted for spatially resolved proteomic analysis by liquid chromatography tandem mass spectrometry (LC-MS/MS). The ability to capture intact proteins by ablation at 193 nm wavelength was verified by matrix-assisted laser desorption ionization (MALDI) of the protein standard bovine serum albumin (BSA), which showed that BSA was ablated and captured without fragmentation. A Bradford assay of the ablated and captured proteins indicated 90% efficiency for transfer of the intact protein at a laser fluence of 3 kJ/m2. Rat brain tissue sections mounted on quartz microscope slides and ablated in transmission mode yielded 2 μg protein per mm2 as quantified by the Bradford assay. Tissue areas ranging from 0.06 mm2 to 1 mm2 were ablated and the ejected material was collected for proteomic analysis. Extracted proteins were digested and the resulting peptides were analyzed by LC-MS/MS. The proteins extracted from the ablated areas were identified and the average number of identified proteins ranged from 85 in the 0.06 mm2 area to 2400 in the 1 mm2 area of a 50 μm thick tissue. In comparison to infrared laser ablation of equivalent sampled areas, both the protein mass and number of proteins identified using DUV laser ablation sampling were approximately four times larger.
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Affiliation(s)
- Remilekun O Lawal
- Department of Chemistry, Louisiana State University, Baton Rouge, LA, 70803, USA
| | - Luke T Richardson
- Department of Chemistry and Biochemistry, Baylor University, Waco, TX, 76706, USA
| | - Chao Dong
- Department of Chemistry, Louisiana State University, Baton Rouge, LA, 70803, USA
| | - Fabrizio Donnarumma
- Department of Chemistry, Louisiana State University, Baton Rouge, LA, 70803, USA
| | - Touradj Solouki
- Department of Chemistry and Biochemistry, Baylor University, Waco, TX, 76706, USA
| | - Kermit K Murray
- Department of Chemistry, Louisiana State University, Baton Rouge, LA, 70803, USA.
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14
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Shen S, Li J, Huo S, Ma M, Zhu X, Rasam S, Duan X, Qu M, Titus MA, Qu J. Parallel, High-Quality Proteomic and Targeted Metabolomic Quantification Using Laser Capture Microdissected Tissues. Anal Chem 2021; 93:8711-8718. [PMID: 34110778 PMCID: PMC10640922 DOI: 10.1021/acs.analchem.1c01026] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Quantitative proteomics/metabolomics investigation of laser-capture-microdissection (LCM) cell populations from clinical cohorts affords precise insights into disease/therapeutic mechanisms, nonetheless high-quality quantification remains a prominent challenge. Here, we devised an LC/MS-based approach allowing parallel, robust global-proteomics and targeted-metabolomics quantification from the same LCM samples, using biopsies from prostate cancer (PCa) patients as the model system. The strategy features: (i) an optimized molecular weight cutoff (MWCO) filter-based separation of proteins and small-molecule fractions with high and consistent recoveries; (ii) microscale derivatization and charge-based enrichment for ultrasensitive quantification of key androgens (LOQ = 5 fg/1k cells) with excellent accuracy/precision; (iii) reproducible/precise proteomics quantification with low-missing-data using a detergent-cocktail-based sample preparation and an IonStar pipeline for reproducible and precise protein quantification with excellent data quality. Key parameters enabling robust/reproducible quantification have been meticulously evaluated and optimized, and the results underscored the importance of surveying quantitative performances against key parameters to facilitate fit-for-purpose method development. As a proof-of-concept, high-quality quantification of the proteome and androgens in LCM samples of PCa patient-matched cancerous and benign epithelial/stromal cells was achieved (N = 16), which suggested distinct androgen distribution patterns across cell types and regions, as well as the dysregulated pathways involved in tumor-stroma crosstalk in PCa pathology. This strategy markedly leverages the scope of quantitative-omics investigations using LCM samples, and combining with IonStar, can be readily adapted to larger-cohort clinical analysis. Moreover, the capacity of parallel proteomics/metabolomics quantification permits precise corroboration of regulatory processes on both protein and small-molecule levels, with decreased batch effect and enhanced utilization of samples.
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Affiliation(s)
- Shichen Shen
- Department of Pharmaceutical Sciences, SUNY-Buffalo, Buffalo, New York 14214, United States
- New York State Center of Excellence in Bioinformatics & Life Sciences, Buffalo, New York 14203, United States
| | - Jun Li
- Department of Pharmaceutical Sciences, SUNY-Buffalo, Buffalo, New York 14214, United States
- New York State Center of Excellence in Bioinformatics & Life Sciences, Buffalo, New York 14203, United States
| | - Shihan Huo
- Department of Pharmaceutical Sciences, SUNY-Buffalo, Buffalo, New York 14214, United States
| | - Min Ma
- Roswell Park Comprehensive Cancer Institute, Buffalo, New York 14203, United States
| | - Xiaoyu Zhu
- Department of Pharmaceutical Sciences, SUNY-Buffalo, Buffalo, New York 14214, United States
| | - Sailee Rasam
- Department of Biochemistry, SUNY-Buffalo, Buffalo, New York 14203, United States
| | - Xiaotao Duan
- Department of Pharmaceutical Sciences, SUNY-Buffalo, Buffalo, New York 14214, United States
| | - Miao Qu
- Department of Neurology, Xuanwu Hospital, Beijing, China 100053
| | - Mark A Titus
- Roswell Park Comprehensive Cancer Institute, Buffalo, New York 14203, United States
- Department of Genitourinary Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas 77030, United States
| | - Jun Qu
- Department of Pharmaceutical Sciences, SUNY-Buffalo, Buffalo, New York 14214, United States
- New York State Center of Excellence in Bioinformatics & Life Sciences, Buffalo, New York 14203, United States
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15
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Mao Y, Wang X, Huang P, Tian R. Spatial proteomics for understanding the tissue microenvironment. Analyst 2021; 146:3777-3798. [PMID: 34042124 DOI: 10.1039/d1an00472g] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The human body comprises rich populations of cells, which are arranged into tissues and organs with diverse functionalities. These cells exhibit a broad spectrum of phenotypes and are often organized as a heterogeneous but sophisticatedly regulated ecosystem - tissue microenvironment, inside which every cell interacts with and is reciprocally influenced by its surroundings through its life span. Therefore, it is critical to comprehensively explore the cellular machinery and biological processes in the tissue microenvironment, which is best exemplified by the tumor microenvironment (TME). The past decade has seen increasing advances in the field of spatial proteomics, the main purpose of which is to characterize the abundance and spatial distribution of proteins and their post-translational modifications in the microenvironment of diseased tissues. Herein, we outline the achievements and remaining challenges of mass spectrometry-based tissue spatial proteomics. Exciting technology developments along with important biomedical applications of spatial proteomics are highlighted. In detail, we focus on high-quality resources built by scalpel macrodissection-based region-resolved proteomics, method development of sensitive sample preparation for laser microdissection-based spatial proteomics, and antibody recognition-based multiplexed tissue imaging. In the end, critical issues and potential future directions for spatial proteomics are also discussed.
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Affiliation(s)
- Yiheng Mao
- School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, 150001, China. and Department of Chemistry, College of Science, Southern University of Science and Technology, Shenzhen 518055, China
| | - Xi Wang
- Department of Chemistry, College of Science, Southern University of Science and Technology, Shenzhen 518055, China and Shenzhen People's Hospital, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen 518020, China
| | - Peiwu Huang
- Department of Chemistry, College of Science, Southern University of Science and Technology, Shenzhen 518055, China
| | - Ruijun Tian
- Department of Chemistry, College of Science, Southern University of Science and Technology, Shenzhen 518055, China
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16
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Pandey S, Tuma Z, Smrhova T, Cedikova M, Macanova T, Chottova Dvorakova M. Laser Capture Microdissection Coupled Capillary Immunoassay to Study the Expression of PCK-2 on Spatially-Resolved Islets of Rat Langerhans. Pharmaceutics 2021; 13:pharmaceutics13060883. [PMID: 34203686 PMCID: PMC8232303 DOI: 10.3390/pharmaceutics13060883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 06/02/2021] [Accepted: 06/09/2021] [Indexed: 11/25/2022] Open
Abstract
The platform for precise proteomic profiling of targeted cell populations from heterogeneous tissue sections is developed. We demonstrate a seamless and systematic integration of LCM with an automated cap-IA for the handling of a very small-sized dissected tissues section from the kidney, liver and pancreatic Langerhans islet of rats. Our analysis reveals that the lowest LCM section area ≥ 0.125 mm2 with 10 µm thickness can be optimized for the detection of proteins through LCM-cap-IA integration. We detect signals ranging from a highly-abundant protein, β-actin, to a low-abundance protein, LC-3AB, using 0.125 mm2 LCM section from rat kidney, but, so far, a relatively large section is required for good quality of results. This integration is applicable for a highly-sensitive and accurate assessment of microdissected tissue sections to decipher hidden proteomic information of pure targeted cells. To validate this integration, PCK2 protein expression is studied within Langerhans islets of normal and diabetic rats. Our results show significant overexpression of PCK2 in Langerhans islets of rats with long-term diabetes.
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Affiliation(s)
- Shashank Pandey
- Department of Pharmacology and Toxicology, Faculty of Medicine in Pilsen, Charles University, Alej Svobody 1655/76, 32300 Pilsen, Czech Republic
- Biomedical Center, Faculty of Medicine in Pilsen, Charles University, Alej Svobody 1655/76, 32300 Pilsen, Czech Republic; (Z.T.); (M.C.); (M.C.D.)
- Correspondence:
| | - Zdenek Tuma
- Biomedical Center, Faculty of Medicine in Pilsen, Charles University, Alej Svobody 1655/76, 32300 Pilsen, Czech Republic; (Z.T.); (M.C.); (M.C.D.)
| | - Tereza Smrhova
- Department of Physiology, Faculty of Medicine in Pilsen, Charles University, Alej Svobody 1655/76, 32300 Pilsen, Czech Republic;
| | - Miroslava Cedikova
- Biomedical Center, Faculty of Medicine in Pilsen, Charles University, Alej Svobody 1655/76, 32300 Pilsen, Czech Republic; (Z.T.); (M.C.); (M.C.D.)
- Department of Physiology, Faculty of Medicine in Pilsen, Charles University, Alej Svobody 1655/76, 32300 Pilsen, Czech Republic;
| | - Tereza Macanova
- Department of Biology, Faculty of Medicine in Pilsen, Charles University, Alej Svobody 1655/76, 32300 Pilsen, Czech Republic;
| | - Magdalena Chottova Dvorakova
- Biomedical Center, Faculty of Medicine in Pilsen, Charles University, Alej Svobody 1655/76, 32300 Pilsen, Czech Republic; (Z.T.); (M.C.); (M.C.D.)
- Department of Physiology, Faculty of Medicine in Pilsen, Charles University, Alej Svobody 1655/76, 32300 Pilsen, Czech Republic;
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17
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Pirog A, Faktor J, Urban-Wojciuk Z, Kote S, Chruściel E, Arcimowicz Ł, Marek-Trzonkowska N, Vojtesek B, Hupp TR, Al Shboul S, Brennan PM, Smoleński RT, Goodlett DR, Dapic I. Comparison of different digestion methods for proteomic analysis of isolated cells and FFPE tissue samples. Talanta 2021; 233:122568. [PMID: 34215064 DOI: 10.1016/j.talanta.2021.122568] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 05/22/2021] [Accepted: 05/26/2021] [Indexed: 12/14/2022]
Abstract
Proteomics of human tissues and isolated cellular subpopulations create new opportunities for therapy and monitoring of a patients' treatment in the clinic. Important considerations in such analysis include recovery of adequate amounts of protein for analysis and reproducibility in sample collection. In this study we compared several protocols for proteomic sample preparation: i) filter-aided sample preparation (FASP), ii) in-solution digestion (ISD) and iii) a pressure-assisted digestion (PCT) method. PCT method is known for already a decade [1], however it is not widely used in proteomic research. We assessed protocols for proteome profiling of isolated immune cell subsets and formalin-fixed paraffin embedded (FFPE) tissue samples. Our results show that the ISD method has very good efficiency of protein and peptide identification from the whole proteome, while the FASP method is particularly effective in identification of membrane proteins. Pressure-assisted digestion methods generally provide lower numbers of protein/peptide identifications, but have gained in popularity due to their shorter digestion time making them considerably faster than for ISD or FASP. Furthermore, PCT does not result in substantial sample loss when applied to samples of 50 000 cells. Analysis of FFPE tissues shows comparable results. ISD method similarly yields the highest number of identifications. Furthermore, proteins isolated from FFPE samples show a significant reduction of cleavages at lysine sites due to chemical modifications with formaldehyde-such as methylation (+14 Da) being among the most common. The data we present will be helpful for making decisions about the robust preparation of clinical samples for biomarker discovery and studies on pathomechanisms of various diseases.
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Affiliation(s)
- Artur Pirog
- International Centre for Cancer Vaccine Science, University of Gdansk, Kładki 24, 80-822, Gdańsk, Poland
| | - Jakub Faktor
- International Centre for Cancer Vaccine Science, University of Gdansk, Kładki 24, 80-822, Gdańsk, Poland
| | - Zuzanna Urban-Wojciuk
- International Centre for Cancer Vaccine Science, University of Gdansk, Kładki 24, 80-822, Gdańsk, Poland
| | - Sachin Kote
- International Centre for Cancer Vaccine Science, University of Gdansk, Kładki 24, 80-822, Gdańsk, Poland
| | - Elżbieta Chruściel
- International Centre for Cancer Vaccine Science, University of Gdansk, Kładki 24, 80-822, Gdańsk, Poland
| | - Łukasz Arcimowicz
- International Centre for Cancer Vaccine Science, University of Gdansk, Kładki 24, 80-822, Gdańsk, Poland
| | - Natalia Marek-Trzonkowska
- International Centre for Cancer Vaccine Science, University of Gdansk, Kładki 24, 80-822, Gdańsk, Poland; Laboratory of Immunoregulation and Cellular Therapies, Department of Family Medicine, Medical University of Gdańsk, Dębinki 2, 80-210, Gdańsk, Poland
| | - Borek Vojtesek
- Research Centre for Applied Molecular Oncology (RECAMO), Masaryk Memorial Cancer Institute, 656 53, Brno, Czech Republic
| | - Ted R Hupp
- International Centre for Cancer Vaccine Science, University of Gdansk, Kładki 24, 80-822, Gdańsk, Poland; Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland, EH4 2XR, United Kingdom
| | - Sofian Al Shboul
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland, EH4 2XR, United Kingdom; Department of Basic Medical Sciences, Faculty of Medicine, The Hashemite University, Zarqa, Jordan
| | - Paul M Brennan
- Translational Neurosurgery, Centre for Clinical Brain Sciences, Bioquarter, University of Edinburgh, Edinburgh, UK
| | | | - David R Goodlett
- International Centre for Cancer Vaccine Science, University of Gdansk, Kładki 24, 80-822, Gdańsk, Poland; Department of Biochemistry and Microbiology, University of Victoria, Victoria, British Columbia, V8P 5C2, Canada
| | - Irena Dapic
- International Centre for Cancer Vaccine Science, University of Gdansk, Kładki 24, 80-822, Gdańsk, Poland.
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18
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Roberg-Larsen H, Wilson SR, Lundanes E. Recent advances in on-line upfront devices for sensitive bioanalytical nano LC methods. Trends Analyt Chem 2021. [DOI: 10.1016/j.trac.2021.116190] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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19
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Weke K, Singh A, Uwugiaren N, Alfaro JA, Wang T, Hupp TR, O'Neill JR, Vojtesek B, Goodlett DR, Williams SM, Zhou M, Kelly RT, Zhu Y, Dapic I. MicroPOTS Analysis of Barrett's Esophageal Cell Line Models Identifies Proteomic Changes after Physiologic and Radiation Stress. J Proteome Res 2021; 20:2195-2205. [PMID: 33491460 PMCID: PMC8155554 DOI: 10.1021/acs.jproteome.0c00629] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
![]()
Moving from macroscale
preparative systems in proteomics to micro-
and nanotechnologies offers researchers the ability to deeply profile
smaller numbers of cells that are more likely to be encountered in
clinical settings. Herein a recently developed microscale proteomic
method, microdroplet processing in one pot for trace samples (microPOTS),
was employed to identify proteomic changes in ∼200 Barrett’s
esophageal cells following physiologic and radiation stress exposure.
From this small population of cells, microPOTS confidently identified
>1500 protein groups, and achieved a high reproducibility with
a Pearson’s
correlation coefficient value of R > 0.9 and over
50% protein overlap from replicates. A Barrett’s cell line
model treated with either lithocholic acid (LCA) or X-ray had 21 (e.g.,
ASNS, RALY, FAM120A, UBE2M, IDH1, ESD) and 32 (e.g., GLUL, CALU, SH3BGRL3,
S100A9, FKBP3, AGR2) overexpressed proteins, respectively, compared
to the untreated set. These results demonstrate the ability of microPOTS
to routinely identify and quantify differentially expressed proteins
from limited numbers of cells.
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Affiliation(s)
- Kenneth Weke
- University of Gdansk, International Centre for Cancer Vaccine Science, ul. Kładki 24, 80-822 Gdansk, Poland
| | - Ashita Singh
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland EH4 2XR, U.K.,Research Centre for Applied Molecular Oncology (RECAMO), Masaryk Memorial Cancer Institute, 656 53 Brno, Czech Republic
| | - Naomi Uwugiaren
- University of Gdansk, International Centre for Cancer Vaccine Science, ul. Kładki 24, 80-822 Gdansk, Poland
| | - Javier A Alfaro
- University of Gdansk, International Centre for Cancer Vaccine Science, ul. Kładki 24, 80-822 Gdansk, Poland.,Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland EH4 2XR, U.K
| | - Tongjie Wang
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland EH4 2XR, U.K
| | - Ted R Hupp
- University of Gdansk, International Centre for Cancer Vaccine Science, ul. Kładki 24, 80-822 Gdansk, Poland.,Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland EH4 2XR, U.K
| | - J Robert O'Neill
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland EH4 2XR, U.K.,Cambridge Oesophagogastric Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, U.K
| | - Borek Vojtesek
- Research Centre for Applied Molecular Oncology (RECAMO), Masaryk Memorial Cancer Institute, 656 53 Brno, Czech Republic
| | - David R Goodlett
- University of Gdansk, International Centre for Cancer Vaccine Science, ul. Kładki 24, 80-822 Gdansk, Poland.,University of Victoria - Genome British Columbia Proteomics Centre, Victoria, BC V8Z 7X8, Canada.,Department of Biochemistry and Microbiology, University of Victoria, Victoria, BC V8P 5C2, Canada
| | - Sarah M Williams
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Mowei Zhou
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Ryan T Kelly
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Ying Zhu
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Irena Dapic
- University of Gdansk, International Centre for Cancer Vaccine Science, ul. Kładki 24, 80-822 Gdansk, Poland
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20
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Lahiri S, Aftab W, Walenta L, Strauss L, Poutanen M, Mayerhofer A, Imhof A. MALDI-IMS combined with shotgun proteomics identify and localize new factors in male infertility. Life Sci Alliance 2021; 4:4/3/e202000672. [PMID: 33408244 PMCID: PMC7812314 DOI: 10.26508/lsa.202000672] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Revised: 12/16/2020] [Accepted: 12/16/2020] [Indexed: 01/29/2023] Open
Abstract
In situ proteomics of male infertility. Spermatogenesis is a complex multi-step process involving intricate interactions between different cell types in the male testis. Disruption of these interactions results in infertility. Combination of shotgun tissue proteomics with MALDI imaging mass spectrometry is markedly potent in revealing topological maps of molecular processes within tissues. Here, we use a combinatorial approach on a characterized mouse model of hormone induced male infertility to uncover misregulated pathways. Comparative testicular proteome of wild-type and mice overexpressing human P450 aromatase (AROM+) with pathologically increased estrogen levels unravels gross dysregulation of spermatogenesis and emergence of pro-inflammatory pathways in AROM+ testis. In situ MS allowed us to localize misregulated proteins/peptides to defined regions within the testis. Results suggest that infertility is associated with substantial loss of proteomic heterogeneity, which define distinct stages of seminiferous tubuli in healthy animals. Importantly, considerable loss of mitochondrial factors, proteins associated with late stages of spermatogenesis and steroidogenic factors characterize AROM+ mice. Thus, the novel proteomic approach pinpoints in unprecedented ways the disruption of normal processes in testis and provides a signature for male infertility.
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Affiliation(s)
- Shibojyoti Lahiri
- Biomedical Center, Protein Analysis Unit, Faculty of Medicine, Ludwig-Maximilians-Universität München, Planegg-Martinsried, Germany
| | - Wasim Aftab
- Biomedical Center, Protein Analysis Unit, Faculty of Medicine, Ludwig-Maximilians-Universität München, Planegg-Martinsried, Germany.,Graduate School for Quantitative Biosciences (QBM), Ludwig-Maximilians-Universität Munich, Munich, Germany
| | - Lena Walenta
- Biomedical Center, Cell Biology-Anatomy III, Ludwig-Maximilians-Universität München, Planegg-Martinsried, Germany
| | - Leena Strauss
- Institute of Biomedicine, Research Centre for Integrative Physiology and Pharmacology and Turku Center for Disease Modeling, University of Turku, Turku, Finland
| | - Matti Poutanen
- Institute of Biomedicine, Research Centre for Integrative Physiology and Pharmacology and Turku Center for Disease Modeling, University of Turku, Turku, Finland
| | - Artur Mayerhofer
- Biomedical Center, Cell Biology-Anatomy III, Ludwig-Maximilians-Universität München, Planegg-Martinsried, Germany
| | - Axel Imhof
- Biomedical Center, Protein Analysis Unit, Faculty of Medicine, Ludwig-Maximilians-Universität München, Planegg-Martinsried, Germany
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21
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Sturtz LA, Wang G, Shah P, Searfoss R, Raj-Kumar PK, Hooke JA, Fantacone-Campbell JL, Deyarmin B, Cutler ML, Sarangarajan R, Narain NR, Hu H, Kiebish MA, Kovatich AJ, Shriver CD. Comparative analysis of differentially abundant proteins quantified by LC-MS/MS between flash frozen and laser microdissected OCT-embedded breast tumor samples. Clin Proteomics 2020; 17:40. [PMID: 33292179 PMCID: PMC7648272 DOI: 10.1186/s12014-020-09300-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 10/05/2020] [Indexed: 12/21/2022] Open
Abstract
Background Proteomic studies are typically conducted using flash-frozen (FF) samples utilizing tandem mass spectrometry (MS). However, FF specimens are comprised of multiple cell types, making it difficult to ascertain the proteomic profiles of specific cells. Conversely, OCT-embedded (Optimal Cutting Temperature compound) specimens can undergo laser microdissection (LMD) to capture and study specific cell types separately from the cell mixture. In the current study, we compared proteomic data obtained from FF and OCT samples to determine if samples that are stored and processed differently produce comparable results. Methods Proteins were extracted from FF and OCT-embedded invasive breast tumors from 5 female patients. FF specimens were lysed via homogenization (FF/HOM) while OCT-embedded specimens underwent LMD to collect only tumor cells (OCT/LMD-T) or both tumor and stromal cells (OCT/LMD-TS) followed by incubation at 37 °C. Proteins were extracted using the illustra triplePrep kit and then trypsin-digested, TMT-labeled, and processed by two-dimensional liquid chromatography-tandem mass spectrometry (2D LC–MS/MS). Proteins were identified and quantified with Proteome Discoverer v1.4 and comparative analyses performed to identify proteins that were significantly differentially expressed amongst the different processing methods. Results Among the 4,950 proteins consistently quantified across all samples, 216 and 171 proteins were significantly differentially expressed (adjusted p-value < 0.05; |log2 FC|> 1) between FF/HOM vs. OCT/LMD-T and FF/HOM vs. OCT/LMD-TS, respectively, with most proteins being more highly abundant in the FF/HOM samples. PCA and unsupervised hierarchical clustering analysis with these 216 and 171 proteins were able to distinguish FF/HOM from OCT/LMD-T and OCT/LMD-TS samples, respectively. Similar analyses using significantly differentially enriched GO terms also discriminated FF/HOM from OCT/LMD samples. No significantly differentially expressed proteins were detected between the OCT/LMD-T and OCT/LMD-TS samples but trended differences were detected. Conclusions The proteomic profiles of the OCT/LMD-TS samples were more similar to those from OCT/LMD-T samples than FF/HOM samples, suggesting a strong influence from the sample processing methods. These results indicate that in LC–MS/MS proteomic studies, FF/HOM samples exhibit different protein expression profiles from OCT/LMD samples and thus, results from these two different methods cannot be directly compared.
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Affiliation(s)
- Lori A Sturtz
- Chan Soon-Shiong Institute of Molecular Medicine at Windber, Windber, PA, USA
| | - Guisong Wang
- Murtha Cancer Center/Research Program, Uniformed Services University of the Health Sciences and Walter Reed National Military Medical Center, Bethesda, MD, USA.,Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | | | | | | | - Jeffrey A Hooke
- Murtha Cancer Center/Research Program, Uniformed Services University of the Health Sciences and Walter Reed National Military Medical Center, Bethesda, MD, USA.,Department of Pathology, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - J Leigh Fantacone-Campbell
- Murtha Cancer Center/Research Program, Uniformed Services University of the Health Sciences and Walter Reed National Military Medical Center, Bethesda, MD, USA.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Brenda Deyarmin
- Chan Soon-Shiong Institute of Molecular Medicine at Windber, Windber, PA, USA
| | - Mary Lou Cutler
- Department of Pathology, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | | | | | - Hai Hu
- Chan Soon-Shiong Institute of Molecular Medicine at Windber, Windber, PA, USA.
| | | | - Albert J Kovatich
- Murtha Cancer Center/Research Program, Uniformed Services University of the Health Sciences and Walter Reed National Military Medical Center, Bethesda, MD, USA. .,Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, MD, USA. .,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA.
| | - Craig D Shriver
- Murtha Cancer Center/Research Program, Uniformed Services University of the Health Sciences and Walter Reed National Military Medical Center, Bethesda, MD, USA. .,Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
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22
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van Huizen NA, Ijzermans JNM, Burgers PC, Luider TM. Collagen analysis with mass spectrometry. MASS SPECTROMETRY REVIEWS 2020; 39:309-335. [PMID: 31498911 DOI: 10.1002/mas.21600] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Revised: 07/17/2019] [Accepted: 07/17/2019] [Indexed: 06/10/2023]
Abstract
Mass spectrometry-based techniques can be applied to investigate collagen with respect to identification, quantification, supramolecular organization, and various post-translational modifications. The continuous interest in collagen research has led to a shift from techniques to analyze the physical characteristics of collagen to methods to study collagen abundance and modifications. In this review, we illustrate the potential of mass spectrometry for in-depth analyses of collagen.
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Affiliation(s)
- Nick A van Huizen
- Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Surgery, Erasmus University Medical Center, 3015 CN, Rotterdam, The Netherlands
| | - Jan N M Ijzermans
- Department of Surgery, Erasmus University Medical Center, 3015 CN, Rotterdam, The Netherlands
| | - Peter C Burgers
- Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Theo M Luider
- Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands
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23
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Griesser E, Wyatt H, Ten Have S, Stierstorfer B, Lenter M, Lamond AI. Quantitative Profiling of the Human Substantia Nigra Proteome from Laser-capture Microdissected FFPE Tissue. Mol Cell Proteomics 2020; 19:839-851. [PMID: 32132230 PMCID: PMC7196589 DOI: 10.1074/mcp.ra119.001889] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 02/19/2020] [Indexed: 11/10/2022] Open
Abstract
Laser-capture microdissection (LCM) allows the visualization and isolation of morphologically distinct subpopulations of cells from heterogeneous tissue specimens. In combination with formalin-fixed and paraffin-embedded (FFPE) tissue it provides a powerful tool for retrospective and clinically relevant studies of tissue proteins in a healthy and diseased context. We first optimized the protocol for efficient LCM analysis of FFPE tissue specimens. The use of SDS containing extraction buffer in combination with the single-pot solid-phase-enhanced sample preparation (SP3) digest method gave the best results regarding protein yield and protein/peptide identifications. Microdissected FFPE human substantia nigra tissue samples (∼3,000 cells) were then analyzed, using tandem mass tag (TMT) labeling and LC-MS/MS, resulting in the quantification of >5,600 protein groups. Nigral proteins were classified and analyzed by abundance, showing an enrichment of extracellular exosome and neuron-specific gene ontology (GO) terms among the higher abundance proteins. Comparison of microdissected samples with intact tissue sections, using a label-free shotgun approach, revealed an enrichment of neuronal cell type markers, such as tyrosine hydroxylase and alpha-synuclein, as well as proteins annotated with neuron-specific GO terms. Overall, this study provides a detailed protocol for laser-capture proteomics using FFPE tissue and demonstrates the efficiency of LCM analysis of distinct cell subpopulations for proteomic analysis using low sample amounts.
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Affiliation(s)
- Eva Griesser
- Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee, DD1 5EH, United Kingdom; Drug Discovery Sciences, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riss, Germany
| | - Hannah Wyatt
- Drug Discovery Sciences, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riss, Germany
| | - Sara Ten Have
- Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee, DD1 5EH, United Kingdom
| | - Birgit Stierstorfer
- Drug Discovery Sciences, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riss, Germany
| | - Martin Lenter
- Drug Discovery Sciences, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riss, Germany
| | - Angus I Lamond
- Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee, DD1 5EH, United Kingdom.
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24
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Clair G, Esbelin J, Malléa S, Bornard I, Carlin F. The spore coat is essential for Bacillus subtilis spore resistance to pulsed light, and pulsed light treatment eliminates some spore coat proteins. Int J Food Microbiol 2020; 323:108592. [PMID: 32315871 DOI: 10.1016/j.ijfoodmicro.2020.108592] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Revised: 12/11/2019] [Accepted: 03/15/2020] [Indexed: 01/26/2023]
Abstract
Microbial surface contamination of equipment or of food contact material is a recurring problem in the food industry. Spore-forming bacteria are far more resistant to a wide variety of treatments than their vegetative forms. Understanding the mechanisms underlying decontamination processes is needed to improve surface decontamination strategies against endospores potentially at the source of foodborne diseases or food-spoilage. Pulsed light (PL) with xenon lamps delivers high-energy short-time pulses of light with wavelengths in the range 200 nm-1100 nm and a high UV-C fraction. Bacillus subtilis spores were exposed to either PL or to continuous UV-C. Gel electrophoresis and western blotting revealed elimination of various proteins of the spore coat, an essential outer structure that protects spores from a wide variety of environmental conditions and inactivation treatments. Proteomic analysis confirmed the elimination of some spore coat proteins after PL treatment. Transmission electron microscopy of PL treated spores revealed a gap between the lamellar inner spore coat and the outer spore coat. Overall, spores of mutant strains with defects in genes coding for spore coat proteins were more sensitive to PL than to continuous UV-C. This study demonstrates that radiations delivered by PL contribute to specific damage to the spore coat, and overall to spore inactivation.
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Affiliation(s)
- Gérémy Clair
- INRAE, Avignon Université, UMR SQPOV, F-84000, Avignon, France; Integrative Omics, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA 99352, USA
| | - Julia Esbelin
- INRAE, Avignon Université, UMR SQPOV, F-84000, Avignon, France
| | - Sabine Malléa
- INRAE, Avignon Université, UMR SQPOV, F-84000, Avignon, France
| | | | - Frédéric Carlin
- INRAE, Avignon Université, UMR SQPOV, F-84000, Avignon, France.
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25
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Piehowski PD, Zhu Y, Bramer LM, Stratton KG, Zhao R, Orton DJ, Moore RJ, Yuan J, Mitchell HD, Gao Y, Webb-Robertson BJM, Dey SK, Kelly RT, Burnum-Johnson KE. Automated mass spectrometry imaging of over 2000 proteins from tissue sections at 100-μm spatial resolution. Nat Commun 2020; 11:8. [PMID: 31911630 PMCID: PMC6946663 DOI: 10.1038/s41467-019-13858-z] [Citation(s) in RCA: 145] [Impact Index Per Article: 36.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Accepted: 11/20/2019] [Indexed: 12/19/2022] Open
Abstract
Biological tissues exhibit complex spatial heterogeneity that directs the functions of multicellular organisms. Quantifying protein expression is essential for elucidating processes within complex biological assemblies. Imaging mass spectrometry (IMS) is a powerful emerging tool for mapping the spatial distribution of metabolites and lipids across tissue surfaces, but technical challenges have limited the application of IMS to the analysis of proteomes. Methods for probing the spatial distribution of the proteome have generally relied on the use of labels and/or antibodies, which limits multiplexing and requires a priori knowledge of protein targets. Past efforts to make spatially resolved proteome measurements across tissues have had limited spatial resolution and proteome coverage and have relied on manual workflows. Here, we demonstrate an automated approach to imaging that utilizes label-free nanoproteomics to analyze tissue voxels, generating quantitative cell-type-specific images for >2000 proteins with 100-µm spatial resolution across mouse uterine tissue sections preparing for blastocyst implantation. Imaging mass spectrometry is a powerful emerging tool for mapping the spatial distribution of biomolecules across tissue surfaces. Here the authors showcase an automated technology for deep proteome imaging that utilizes ultrasensitive microfluidics and a mass spectrometry workflow to analyze tissue voxels, generating quantitative cell-type-specific images.
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Affiliation(s)
- Paul D Piehowski
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Ying Zhu
- The Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Lisa M Bramer
- National Security Directorate, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Kelly G Stratton
- National Security Directorate, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Rui Zhao
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Daniel J Orton
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Ronald J Moore
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Jia Yuan
- Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Hugh D Mitchell
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Yuqian Gao
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | | | - Sudhansu K Dey
- Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Ryan T Kelly
- The Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA. .,Department of Chemistry and Biochemistry, Brigham Young University, Provo, UT, USA.
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26
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Yang S, Li H, Bhatti S, Zhou S, Yang Y, Fish T, Thannhauser TW. The Al-induced proteomes of epidermal and outer cortical cells in root apex of cherry tomato ‘LA 2710’. J Proteomics 2020; 211:103560. [DOI: 10.1016/j.jprot.2019.103560] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2019] [Revised: 10/10/2019] [Accepted: 10/15/2019] [Indexed: 10/25/2022]
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27
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Clair G. A multiomics focusing towards the molecular networks of lung development. Am J Physiol Lung Cell Mol Physiol 2019; 317:L554-L555. [PMID: 31508981 DOI: 10.1152/ajplung.00364.2019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Affiliation(s)
- Geremy Clair
- Biological Science Division, Pacific Northwest National Laboratory, Richland, Washington
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28
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Njoku K, Chiasserini D, Whetton AD, Crosbie EJ. Proteomic Biomarkers for the Detection of Endometrial Cancer. Cancers (Basel) 2019; 11:cancers11101572. [PMID: 31623106 PMCID: PMC6826703 DOI: 10.3390/cancers11101572] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Revised: 10/07/2019] [Accepted: 10/11/2019] [Indexed: 01/01/2023] Open
Abstract
Endometrial cancer is the leading gynaecological malignancy in the western world and its incidence is rising in tandem with the global epidemic of obesity. Early diagnosis is key to improving survival, which at 5 years is less than 20% in advanced disease and over 90% in early-stage disease. As yet, there are no validated biological markers for its early detection. Advances in high-throughput technologies and machine learning techniques now offer unique and promising perspectives for biomarker discovery, especially through the integration of genomic, transcriptomic, proteomic, metabolomic and imaging data. Because the proteome closely mirrors the dynamic state of cells, tissues and organisms, proteomics has great potential to deliver clinically relevant biomarkers for cancer diagnosis. In this review, we present the current progress in endometrial cancer diagnostic biomarker discovery using proteomics. We describe the various mass spectrometry-based approaches and highlight the challenges inherent in biomarker discovery studies. We suggest novel strategies for endometrial cancer detection exploiting biologically important protein biomarkers and set the scene for future directions in endometrial cancer biomarker research.
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Affiliation(s)
- Kelechi Njoku
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, 5th Floor Research, St Mary's Hospital, Oxford Road, Manchester M13 9WL, UK.
- Department of Obstetrics and Gynaecology, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK.
- Stoller Biomarker Discovery Centre, Institute of Cancer Sciences, Faculty of Medical and Human Sciences, University of Manchester, Manchester M13 9PL, UK.
| | - Davide Chiasserini
- Stoller Biomarker Discovery Centre, Institute of Cancer Sciences, Faculty of Medical and Human Sciences, University of Manchester, Manchester M13 9PL, UK.
| | - Anthony D Whetton
- Stoller Biomarker Discovery Centre, Institute of Cancer Sciences, Faculty of Medical and Human Sciences, University of Manchester, Manchester M13 9PL, UK.
| | - Emma J Crosbie
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, 5th Floor Research, St Mary's Hospital, Oxford Road, Manchester M13 9WL, UK.
- Department of Obstetrics and Gynaecology, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK.
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29
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Dou M, Clair G, Tsai CF, Xu K, Chrisler WB, Sontag RL, Zhao R, Moore RJ, Liu T, Pasa-Tolic L, Smith RD, Shi T, Adkins JN, Qian WJ, Kelly RT, Ansong C, Zhu Y. High-Throughput Single Cell Proteomics Enabled by Multiplex Isobaric Labeling in a Nanodroplet Sample Preparation Platform. Anal Chem 2019; 91:13119-13127. [PMID: 31509397 DOI: 10.1021/acs.analchem.9b03349] [Citation(s) in RCA: 128] [Impact Index Per Article: 25.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Effective extension of mass spectrometry-based proteomics to single cells remains challenging. Herein we combined microfluidic nanodroplet technology with tandem mass tag (TMT) isobaric labeling to significantly improve analysis throughput and proteome coverage for single mammalian cells. Isobaric labeling facilitated multiplex analysis of single cell-sized protein quantities to a depth of ∼1 600 proteins with a median CV of 10.9% and correlation coefficient of 0.98. To demonstrate in-depth high throughput single cell analysis, the platform was applied to measure protein expression in 72 single cells from three murine cell populations (epithelial, immune, and endothelial cells) in <2 days instrument time with over 2 300 proteins identified. Principal component analysis grouped the single cells into three distinct populations based on protein expression with each population characterized by well-known cell-type specific markers. Our platform enables high throughput and unbiased characterization of single cell heterogeneity at the proteome level.
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Affiliation(s)
- Maowei Dou
- Environmental Molecular Sciences Laboratory , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - Geremy Clair
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - Chia-Feng Tsai
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - Kerui Xu
- Environmental Molecular Sciences Laboratory , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - William B Chrisler
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - Ryan L Sontag
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - Rui Zhao
- Environmental Molecular Sciences Laboratory , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - Ronald J Moore
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - Tao Liu
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - Ljiljana Pasa-Tolic
- Environmental Molecular Sciences Laboratory , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - Richard D Smith
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - Tujin Shi
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - Joshua N Adkins
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - Wei-Jun Qian
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - Ryan T Kelly
- Environmental Molecular Sciences Laboratory , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States.,Department of Chemistry and Biochemistry , Brigham Young University , Provo , Utah 84604 , United States
| | - Charles Ansong
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
| | - Ying Zhu
- Environmental Molecular Sciences Laboratory , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States
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30
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Nipah Virus-Like Particle Egress Is Modulated by Cytoskeletal and Vesicular Trafficking Pathways: a Validated Particle Proteomics Analysis. mSystems 2019; 4:4/5/e00194-19. [PMID: 31551400 PMCID: PMC6759566 DOI: 10.1128/msystems.00194-19] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Classified as a biosafety level 4 (BSL4) select agent, Nipah virus (NiV) is a deadly henipavirus in the Paramyxoviridae family, with a nearly 75% mortality rate in humans, underscoring its global and animal health importance. Elucidating the process of viral particle production in host cells is imperative both for targeted drug design and viral particle-based vaccine development. However, little is understood concerning the functions of cellular machinery in paramyxoviral and henipaviral assembly and budding. Recent studies showed evidence for the involvement of multiple NiV proteins in viral particle formation, in contrast to the mechanisms understood for several paramyxoviruses as being reliant on the matrix (M) protein alone. Further, the levels and purposes of cellular factor incorporation into viral particles are largely unexplored for the paramyxoviruses. To better understand the involvement of cellular machinery and the major structural viral fusion (F), attachment (G), and matrix (M) proteins, we performed proteomics analyses on virus-like particles (VLPs) produced from several combinations of these NiV proteins. Our findings indicate that NiV VLPs incorporate vesicular trafficking and actin cytoskeletal factors. The involvement of these biological processes was validated by experiments indicating that the perturbation of key factors in these cellular processes substantially modulated viral particle formation. These effects were most impacted for NiV-F-modulated viral particle formation either autonomously or in combination with other NiV proteins, indicating that NiV-F budding relies heavily on these cellular processes. These findings indicate a significant involvement of the NiV fusion protein, vesicular trafficking, and actin cytoskeletal processes in efficient viral particle formation.IMPORTANCE Nipah virus is a zoonotic biosafety level 4 agent with high mortality rates in humans. The genus to which Nipah virus belongs, Henipavirus, includes five officially recognized pathogens; however, over 20 species have been identified in multiple continents within the last several years. As there are still no vaccines or treatments for NiV infection, elucidating its process of viral particle production is imperative both for targeted drug design as well as for particle-based vaccine development. Developments in high-throughput technologies make proteomic analysis of isolated viral particles a highly insightful approach to understanding the life cycle of pathogens such as Nipah virus.
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31
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Du Y, Clair GC, Al Alam D, Danopoulos S, Schnell D, Kitzmiller JA, Misra RS, Bhattacharya S, Warburton D, Mariani TJ, Pryhuber GS, Whitsett JA, Ansong C, Xu Y. Integration of transcriptomic and proteomic data identifies biological functions in cell populations from human infant lung. Am J Physiol Lung Cell Mol Physiol 2019; 317:L347-L360. [PMID: 31268347 DOI: 10.1152/ajplung.00475.2018] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Systems biology uses computational approaches to integrate diverse data types to understand cell and organ behavior. Data derived from complementary technologies, for example transcriptomic and proteomic analyses, are providing new insights into development and disease. We compared mRNA and protein profiles from purified endothelial, epithelial, immune, and mesenchymal cells from normal human infant lung tissue. Signatures for each cell type were identified and compared at both mRNA and protein levels. Cell-specific biological processes and pathways were predicted by analysis of concordant and discordant RNA-protein pairs. Cell clustering and gene set enrichment comparisons identified shared versus unique processes associated with transcriptomic and/or proteomic data. Clear cell-cell correlations between mRNA and protein data were obtained from each cell type. Approximately 40% of RNA-protein pairs were coherently expressed. While the correlation between RNA and their protein products was relatively low (Spearman rank coefficient rs ~0.4), cell-specific signature genes involved in functional processes characteristic of each cell type were more highly correlated with their protein products. Consistency of cell-specific RNA-protein signatures indicated an essential framework for the function of each cell type. Visualization and reutilization of the protein and RNA profiles are supported by a new web application, "LungProteomics," which is freely accessible to the public.
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Affiliation(s)
- Yina Du
- The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Geremy C Clair
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington
| | - Denise Al Alam
- Developmental Biology and Regenerative Medicine Program, Department of Pediatric Surgery, The Saban Research Institute, Children's Hospital Los Angeles, Los Angeles, California.,Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Soula Danopoulos
- Developmental Biology and Regenerative Medicine Program, Department of Pediatric Surgery, The Saban Research Institute, Children's Hospital Los Angeles, Los Angeles, California.,Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Daniel Schnell
- Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.,Heart Institute and Center for Translational Fibrosis Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Joseph A Kitzmiller
- The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Ravi S Misra
- Department of Pediatrics, University of Rochester Medical Center, Rochester, New York
| | - Soumyaroop Bhattacharya
- Department of Pediatrics, University of Rochester Medical Center, Rochester, New York.,Division of Neonatology and Program in Pediatric Molecular and Personalized Medicine, University of Rochester Medical Center, Rochester, New York
| | - David Warburton
- Developmental Biology and Regenerative Medicine Program, Department of Pediatric Surgery, The Saban Research Institute, Children's Hospital Los Angeles, Los Angeles, California.,Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Thomas J Mariani
- Department of Pediatrics, University of Rochester Medical Center, Rochester, New York.,Division of Neonatology and Program in Pediatric Molecular and Personalized Medicine, University of Rochester Medical Center, Rochester, New York
| | - Gloria S Pryhuber
- Department of Pediatrics, University of Rochester Medical Center, Rochester, New York
| | - Jeffrey A Whitsett
- The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Charles Ansong
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington
| | - Yan Xu
- The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.,Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
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32
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Nakayasu ES, Qian WJ, Evans-Molina C, Mirmira RG, Eizirik DL, Metz TO. The role of proteomics in assessing beta-cell dysfunction and death in type 1 diabetes. Expert Rev Proteomics 2019; 16:569-582. [PMID: 31232620 PMCID: PMC6628911 DOI: 10.1080/14789450.2019.1634548] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Accepted: 06/18/2019] [Indexed: 12/17/2022]
Abstract
Introduction: Type 1 diabetes (T1D) is characterized by autoimmune-induced dysfunction and destruction of the pancreatic beta cells. Unfortunately, this process is poorly understood, and the current best treatment for type 1 diabetes is the administration of exogenous insulin. To better understand these mechanisms and to develop new therapies, there is an urgent need for biomarkers that can reliably predict disease stage. Areas covered: Mass spectrometry (MS)-based proteomics and complementary techniques play an important role in understanding the autoimmune response, inflammation and beta-cell death. MS is also a leading technology for the identification of biomarkers. This, and the technical difficulties and new technologies that provide opportunities to characterize small amounts of sample in great depth and to analyze large sample cohorts will be discussed in this review. Expert opinion: Understanding disease mechanisms and the discovery of disease-associated biomarkers are highly interconnected goals. Ideal biomarkers would be molecules specific to the different stages of the disease process that are released from beta cells to the bloodstream. However, such molecules are likely to be present in trace amounts in the blood due to the small number of pancreatic beta cells in the human body and the heterogeneity of the target organ and disease process.
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Affiliation(s)
- Ernesto S. Nakayasu
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Wei-Jun Qian
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Carmella Evans-Molina
- Center for Diabetes and Metabolic Diseases, Herman B. Wells Center for Pediatric Research, Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Raghavendra G. Mirmira
- Center for Diabetes and Metabolic Diseases, Herman B. Wells Center for Pediatric Research, Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Decio L. Eizirik
- ULB Center for Diabetes Research, Medical Faculty, Université Libre de Bruxelles, Brussels, Belgium
| | - Thomas O. Metz
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
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33
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Xu K, Liang Y, Piehowski PD, Dou M, Schwarz KC, Zhao R, Sontag RL, Moore RJ, Zhu Y, Kelly RT. Benchtop-compatible sample processing workflow for proteome profiling of < 100 mammalian cells. Anal Bioanal Chem 2019; 411:4587-4596. [PMID: 30460388 PMCID: PMC6527493 DOI: 10.1007/s00216-018-1493-9] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2018] [Accepted: 11/09/2018] [Indexed: 12/22/2022]
Abstract
Extending proteomics to smaller samples can enable the mapping of protein expression across tissues with high spatial resolution and can reveal sub-group heterogeneity. However, despite the continually improving sensitivity of LC-MS instrumentation, in-depth profiling of samples containing low-nanogram amounts of protein has remained challenging due to analyte losses incurred during preparation and analysis. To address this, we recently developed nanodroplet processing in one pot for trace samples (nanoPOTS), a robotic/microfluidic platform that generates ready-to-analyze peptides from cellular material in ~200 nL droplets with greatly reduced sample losses. In combination with ultrasensitive LC-MS, nanoPOTS has enabled >3000 proteins to be confidently identified from as few as 10 cultured human cells and ~700 proteins from single cells. However, the nanoPOTS platform requires a highly skilled operator and a costly in-house-built robotic nanopipetting instrument. In this work, we sought to evaluate the extent to which the benefits of nanodroplet processing could be preserved when upscaling reagent dispensing volumes by a factor of 10 to those addressable by commercial micropipette. We characterized the resulting platform, termed microdroplet processing in one pot for trace samples (μPOTS), for the analysis of as few as ~25 cultured HeLa cells (4 ng total protein) or 50 μm square mouse liver tissue thin sections and found that ~1800 and ~1200 unique proteins were respectively identified with high reproducibility. The reduced equipment requirements should facilitate broad dissemination of nanoproteomics workflows by obviating the need for a capital-intensive custom liquid handling system.
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Affiliation(s)
- Kerui Xu
- W.R. Wiley Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA, 99352, USA
| | - Yiran Liang
- Department of Chemistry and Biochemistry, Brigham Young University, C100 BNSN, Provo, UT, 84602, USA
| | - Paul D Piehowski
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA
| | - Maowei Dou
- W.R. Wiley Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA, 99352, USA
| | - Kaitlynn C Schwarz
- W.R. Wiley Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA, 99352, USA
| | - Rui Zhao
- W.R. Wiley Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA, 99352, USA
| | - Ryan L Sontag
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA
| | - Ronald J Moore
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA
| | - Ying Zhu
- W.R. Wiley Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA, 99352, USA.
| | - Ryan T Kelly
- W.R. Wiley Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA, 99352, USA.
- Department of Chemistry and Biochemistry, Brigham Young University, C100 BNSN, Provo, UT, 84602, USA.
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34
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Pellegrini D, Del Grosso A, Angella L, Giordano N, Dilillo M, Tonazzini I, Caleo M, Cecchini M, McDonnell LA. Quantitative Microproteomics Based Characterization of the Central and Peripheral Nervous System of a Mouse Model of Krabbe Disease. Mol Cell Proteomics 2019; 18:1227-1241. [PMID: 30926673 PMCID: PMC6553931 DOI: 10.1074/mcp.ra118.001267] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2018] [Revised: 03/15/2019] [Indexed: 11/06/2022] Open
Abstract
Krabbe disease is a rare, childhood lysosomal storage disorder caused by a deficiency of galactosylceramide beta-galactosidase (GALC). The major effect of GALC deficiency is the accumulation of psychosine in the nervous system and widespread degeneration of oligodendrocytes and Schwann cells, causing rapid demyelination. The molecular mechanisms of Krabbe disease are not yet fully elucidated and a definite cure is still missing. Here we report the first in-depth characterization of the proteome of the Twitcher mouse, a spontaneous mouse model of Krabbe disease, to investigate the proteome changes in the Central and Peripheral Nervous System. We applied a TMT-based workflow to compare the proteomes of the corpus callosum, motor cortex and sciatic nerves of littermate homozygous Twitcher and wild-type mice. More than 400 protein groups exhibited differences in expression and included proteins involved in pathways that can be linked to Krabbe disease, such as inflammatory and defense response, lysosomal proteins accumulation, demyelination, reduced nervous system development and cell adhesion. These findings provide new insights on the molecular mechanisms of Krabbe disease, representing a starting point for future functional experiments to study the molecular pathogenesis of Krabbe disease. Data are available via ProteomeXchange with identifier PXD010594.
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Affiliation(s)
- Davide Pellegrini
- From ‡NEST, Scuola Normale Superiore, Pisa 56127, Italy
- §Fondazione Pisana per la Scienza ONLUS, 56107 San Giuliano Terme, Pisa, Italy
| | - Ambra Del Grosso
- From ‡NEST, Scuola Normale Superiore, Pisa 56127, Italy
- ¶NEST, Istituto Nanoscienze-CNR, Pisa, Italy
| | | | | | - Marialaura Dilillo
- §Fondazione Pisana per la Scienza ONLUS, 56107 San Giuliano Terme, Pisa, Italy
| | | | | | - Marco Cecchini
- From ‡NEST, Scuola Normale Superiore, Pisa 56127, Italy
- ¶NEST, Istituto Nanoscienze-CNR, Pisa, Italy
| | - Liam A McDonnell
- §Fondazione Pisana per la Scienza ONLUS, 56107 San Giuliano Terme, Pisa, Italy;
- **Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
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35
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Dirice E, Kahraman S, De Jesus DF, El Ouaamari A, Basile G, Baker RL, Yigit B, Piehowski PD, Kim MJ, Dwyer AJ, Ng RWS, Schuster C, Vethe H, Martinov T, Ishikawa Y, Teo AKK, Smith RD, Hu J, Haskins K, Serwold T, Qian WJ, Fife BT, Kissler S, Kulkarni RN. Increased β-cell proliferation before immune cell invasion prevents progression of type 1 diabetes. Nat Metab 2019; 1:509-518. [PMID: 31423480 PMCID: PMC6696912 DOI: 10.1038/s42255-019-0061-8] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Type 1 diabetes (T1D) is characterized by pancreatic islet infiltration by autoreactive immune cells and a near-total loss of β-cells1. Restoration of insulin-producing β-cells coupled with immunomodulation to suppress the autoimmune attack has emerged as a potential approach to counter T1D2-4. Here we report that enhancing β-cell mass early in life, in two models of female NOD mice, results in immunomodulation of T-cells, reduced islet infiltration and lower β-cell apoptosis, that together protect them from developing T1D. The animals displayed altered β-cell antigens, and islet transplantation studies showed prolonged graft survival in the NOD-LIRKO model. Adoptive transfer of splenocytes from the NOD-LIRKOs prevented development of diabetes in pre-diabetic NOD mice. A significant increase in the splenic CD4+CD25+FoxP3+ regulatory T-cell (Treg) population was observed to underlie the protected phenotype since Treg depletion rendered NOD-LIRKO mice diabetic. The increase in Tregs coupled with activation of TGF-β/SMAD3 signaling pathway in pathogenic T-cells favored reduced ability to kill β-cells. These data support a previously unidentified observation that initiating β-cell proliferation, alone, prior to islet infiltration by immune cells alters the identity of β-cells, decreases pathologic self-reactivity of effector cells and increases Tregs to prevent progression of T1D.
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Affiliation(s)
- Ercument Dirice
- Islet Cell and Regenerative Biology, Joslin Diabetes
Center, Boston, MA, USA
- Department of Medicine, Brigham and Women’s
Hospital, Harvard Medical School, Boston, MA, USA
| | - Sevim Kahraman
- Islet Cell and Regenerative Biology, Joslin Diabetes
Center, Boston, MA, USA
- Department of Medicine, Brigham and Women’s
Hospital, Harvard Medical School, Boston, MA, USA
| | - Dario F. De Jesus
- Islet Cell and Regenerative Biology, Joslin Diabetes
Center, Boston, MA, USA
- Department of Medicine, Brigham and Women’s
Hospital, Harvard Medical School, Boston, MA, USA
- Graduate Program in Areas of Basic and Applied Biology
(GABBA), Abel Salazar Biomedical Sciences Institute, University of Porto, Porto,
Portugal
| | - Abdelfattah El Ouaamari
- Islet Cell and Regenerative Biology, Joslin Diabetes
Center, Boston, MA, USA
- Department of Medicine, Brigham and Women’s
Hospital, Harvard Medical School, Boston, MA, USA
| | - Giorgio Basile
- Islet Cell and Regenerative Biology, Joslin Diabetes
Center, Boston, MA, USA
- Department of Medicine, Brigham and Women’s
Hospital, Harvard Medical School, Boston, MA, USA
| | - Rocky L. Baker
- Department of Immunology, School of Medicine, University of
Colorado, Aurora, CO, USA
| | - Burcu Yigit
- Division of Immunology, Beth Israel Deaconess Medical
Center, Harvard Medical School, Boston, MA, USA
| | - Paul D. Piehowski
- Biological Sciences Division, Pacific Northwest National
Laboratory, Richland, WA, USA
| | - Mi-Jeong Kim
- Section for Immunobiology, Joslin Diabetes Center, Boston,
MA, USA
| | - Alexander J. Dwyer
- University of Minnesota, Center for Immunology, Department
of Medicine, Minneapolis, MN, USA
| | - Raymond W. S. Ng
- Islet Cell and Regenerative Biology, Joslin Diabetes
Center, Boston, MA, USA
- Department of Medicine, Brigham and Women’s
Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Heidrun Vethe
- Islet Cell and Regenerative Biology, Joslin Diabetes
Center, Boston, MA, USA
| | - Tijana Martinov
- University of Minnesota, Center for Immunology, Department
of Medicine, Minneapolis, MN, USA
| | - Yuki Ishikawa
- Section for Immunobiology, Joslin Diabetes Center, Boston,
MA, USA
| | - Adrian Kee Keong Teo
- Islet Cell and Regenerative Biology, Joslin Diabetes
Center, Boston, MA, USA
- Department of Medicine, Brigham and Women’s
Hospital, Harvard Medical School, Boston, MA, USA
| | - Richard D. Smith
- Biological Sciences Division, Pacific Northwest National
Laboratory, Richland, WA, USA
| | - Jiang Hu
- Islet Cell and Regenerative Biology, Joslin Diabetes
Center, Boston, MA, USA
- Department of Medicine, Brigham and Women’s
Hospital, Harvard Medical School, Boston, MA, USA
| | - Kathryn Haskins
- Department of Immunology, School of Medicine, University of
Colorado, Aurora, CO, USA
| | - Thomas Serwold
- Section for Immunobiology, Joslin Diabetes Center, Boston,
MA, USA
| | - Wei-Jun Qian
- Biological Sciences Division, Pacific Northwest National
Laboratory, Richland, WA, USA
| | - Brian T. Fife
- University of Minnesota, Center for Immunology, Department
of Medicine, Minneapolis, MN, USA
| | - Stephan Kissler
- Section for Immunobiology, Joslin Diabetes Center, Boston,
MA, USA
| | - Rohit N. Kulkarni
- Islet Cell and Regenerative Biology, Joslin Diabetes
Center, Boston, MA, USA
- Department of Medicine, Brigham and Women’s
Hospital, Harvard Medical School, Boston, MA, USA
- Harvard Stem Cell Institute, Boston, MA, USA
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36
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Davis S, Scott C, Ansorge O, Fischer R. Development of a Sensitive, Scalable Method for Spatial, Cell-Type-Resolved Proteomics of the Human Brain. J Proteome Res 2019; 18:1787-1795. [PMID: 30768908 PMCID: PMC6456870 DOI: 10.1021/acs.jproteome.8b00981] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
![]()
While nearly comprehensive proteome
coverage can be achieved from
bulk tissue or cultured cells, the data usually lacks spatial resolution.
As a result, tissue based proteomics averages protein abundance across
multiple cell types and/or localizations. With proteomics platforms
lacking sensitivity and throughput to undertake deep single-cell proteome
studies in order to resolve spatial or cell type dependent protein
expression gradients within tissue, proteome analysis has been combined
with sorting techniques to enrich for certain cell populations. However,
the spatial resolution and context is lost after cell sorting. Here,
we report an optimized method for the proteomic analysis of neurons
isolated from post-mortem human brain by laser capture microdissection
(LCM). We tested combinations of sample collection methods, lysis
buffers and digestion methods to maximize the number of identifications
and quantitative performance, identifying 1500 proteins from 60 000
μm2 of 10 μm thick cerebellar molecular layer
with excellent reproducibility. To demonstrate the ability of our
workflow to resolve cell type specific proteomes within human brain
tissue, we isolated sets of individual Betz and Purkinje cells. Both
neuronal cell types are involved in motor coordination and were found
to express highly specific proteomes to a depth of 2800 to 3600 proteins.
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Affiliation(s)
- Simon Davis
- Target Discovery Institute, Nuffield Department of Medicine , University of Oxford , Roosevelt Drive , Oxford , OX3 7FZ , U.K
| | - Connor Scott
- Academic Unit of Neuropathology, Nuffield Department of Clinical Neurosciences , University of Oxford, John Radcliffe Hospital , Oxford , OX3 9DU , U.K
| | - Olaf Ansorge
- Academic Unit of Neuropathology, Nuffield Department of Clinical Neurosciences , University of Oxford, John Radcliffe Hospital , Oxford , OX3 9DU , U.K
| | - Roman Fischer
- Target Discovery Institute, Nuffield Department of Medicine , University of Oxford , Roosevelt Drive , Oxford , OX3 7FZ , U.K
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37
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Wakasaki R, Matsushita K, Golgotiu K, Anderson S, Eiwaz MB, Orton DJ, Han SJ, Lee HT, Smith RD, Rodland KD, Piehowski PD, Hutchens MP. Glomerular filtrate proteins in acute cardiorenal syndrome. JCI Insight 2019; 4:122130. [PMID: 30829647 DOI: 10.1172/jci.insight.122130] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2018] [Accepted: 01/14/2019] [Indexed: 12/12/2022] Open
Abstract
Acute cardiorenal syndrome (CRS-1) is a morbid complication of acute cardiovascular disease. Heart-to-kidney signals transmitted by "cardiorenal connectors" have been postulated, but investigation into CRS-1 has been limited by technical limitations and a paucity of models. To address these limitations, we developed a translational model of CRS-1, cardiac arrest and cardiopulmonary resuscitation (CA/CPR), and now report findings from nanoscale mass spectrometry proteomic exploration of glomerular filtrate 2 hours after CA/CPR or sham procedure. Filtrate acquisition was confirmed by imaging, molecular weight and charge distribution, and exclusion of protein specific to surrounding cells. Filtration of proteins specific to the heart was detected following CA/CPR and confirmed with mass spectrometry performed using urine collections from mice with deficient tubular endocytosis. Cardiac LIM protein was a CA/CPR-specific filtrate component. Cardiac arrest induced plasma release of cardiac LIM protein in mice and critically ill human cardiac arrest survivors, and administration of recombinant cardiac LIM protein to mice altered renal function. These findings demonstrate that glomerular filtrate is accessible to nanoscale proteomics and elucidate the population of proteins filtered 2 hours after CA/CPR. The identification of cardiac-specific proteins in renal filtrate suggests a novel signaling mechanism in CRS-1. We expect these findings to advance understanding of CRS-1.
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Affiliation(s)
- Rumie Wakasaki
- Anesthesiology & Perioperative Medicine, Oregon Health & Science University, Portland, Oregon, USA
| | - Katsuyuki Matsushita
- Anesthesiology & Perioperative Medicine, Oregon Health & Science University, Portland, Oregon, USA
| | - Kirsti Golgotiu
- Anesthesiology & Perioperative Medicine, Oregon Health & Science University, Portland, Oregon, USA
| | - Sharon Anderson
- Operative Care Division and Research and Development Division, Portland Veterans Affairs Medical Center, Portland, Oregon, USA.,Division of Nephrology and Hypertension, Oregon Health & Science University, Portland, Oregon, USA
| | - Mahaba B Eiwaz
- Anesthesiology & Perioperative Medicine, Oregon Health & Science University, Portland, Oregon, USA
| | - Daniel J Orton
- Pacific Northwest National Laboratory, Environmental and Biological Services Division, Richland, Washington, USA
| | - Sang Jun Han
- Department of Anesthesiology, College of Physicians and Surgeons of Columbia University, New York, New York, USA
| | - H Thomas Lee
- Department of Anesthesiology, College of Physicians and Surgeons of Columbia University, New York, New York, USA
| | - Richard D Smith
- Pacific Northwest National Laboratory, Environmental and Biological Services Division, Richland, Washington, USA
| | - Karin D Rodland
- Pacific Northwest National Laboratory, Environmental and Biological Services Division, Richland, Washington, USA
| | - Paul D Piehowski
- Pacific Northwest National Laboratory, Environmental and Biological Services Division, Richland, Washington, USA
| | - Michael P Hutchens
- Anesthesiology & Perioperative Medicine, Oregon Health & Science University, Portland, Oregon, USA.,Operative Care Division and Research and Development Division, Portland Veterans Affairs Medical Center, Portland, Oregon, USA
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38
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Couvillion SP, Zhu Y, Nagy G, Adkins JN, Ansong C, Renslow RS, Piehowski PD, Ibrahim YM, Kelly RT, Metz TO. New mass spectrometry technologies contributing towards comprehensive and high throughput omics analyses of single cells. Analyst 2019; 144:794-807. [PMID: 30507980 PMCID: PMC6349538 DOI: 10.1039/c8an01574k] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Mass-spectrometry based omics technologies - namely proteomics, metabolomics and lipidomics - have enabled the molecular level systems biology investigation of organisms in unprecedented detail. There has been increasing interest for gaining a thorough, functional understanding of the biological consequences associated with cellular heterogeneity in a wide variety of research areas such as developmental biology, precision medicine, cancer research and microbiome science. Recent advances in mass spectrometry (MS) instrumentation and sample handling strategies are quickly making comprehensive omics analyses of single cells feasible, but key breakthroughs are still required to push through remaining bottlenecks. In this review, we discuss the challenges faced by single cell MS-based omics analyses and highlight recent technological advances that collectively can contribute to comprehensive and high throughput omics analyses in single cells. We provide a vision of the potential of integrating pioneering technologies such as Structures for Lossless Ion Manipulations (SLIM) for improved sensitivity and resolution, novel peptide identification tactics and standards free metabolomics approaches for future applications in single cell analysis.
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Affiliation(s)
- Sneha P Couvillion
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA.
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39
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Zhang P, Gaffrey MJ, Zhu Y, Chrisler WB, Fillmore TL, Yi L, Nicora CD, Zhang T, Wu H, Jacobs J, Tang K, Kagan J, Srivastava S, Rodland KD, Qian WJ, Smith RD, Liu T, Wiley HS, Shi T. Carrier-Assisted Single-Tube Processing Approach for Targeted Proteomics Analysis of Low Numbers of Mammalian Cells. Anal Chem 2019; 91:1441-1451. [PMID: 30557009 PMCID: PMC6555634 DOI: 10.1021/acs.analchem.8b04258] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Heterogeneity in composition is inherent in all cell populations, even those containing a single cell type. Single-cell proteomics characterization of cell heterogeneity is currently achieved by antibody-based technologies, which are limited by the availability of high-quality antibodies. Herein we report a simple, easily implemented, mass spectrometry (MS)-based targeted proteomics approach, termed cLC-SRM (carrier-assisted liquid chromatography coupled to selected reaction monitoring), for reliable multiplexed quantification of proteins in low numbers of mammalian cells. We combine a new single-tube digestion protocol to process low numbers of cells with minimal loss together with sensitive LC-SRM for protein quantification. This single-tube protocol builds upon trifluoroethanol digestion and further minimizes sample losses by tube pretreatment and the addition of carrier proteins. We also optimized the denaturing temperature and trypsin concentration to significantly improve digestion efficiency. cLC-SRM was demonstrated to have sufficient sensitivity for reproducible detection of most epidermal growth factor receptor (EGFR) pathway proteins expressed at levels ≥30 000 and ≥3000 copies per cell for 10 and 100 mammalian cells, respectively. Thus, cLC-SRM enables reliable quantification of low to moderately abundant proteins in less than 100 cells and could be broadly useful for multiplexed quantification of important proteins in small subpopulations of cells or in size-limited clinical samples. Further improvements of this method could eventually enable targeted single-cell proteomics when combined with either SRM or other emerging ultrasensitive MS detection.
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Affiliation(s)
- Pengfei Zhang
- Key Laboratory of Cancer Proteomics of Chinese Ministry of Health, Xiangya Hospital, Central South University, Changsha, Hunan 410008, People’s Republic of China
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Matthew J. Gaffrey
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Ying Zhu
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - William B. Chrisler
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Thomas L. Fillmore
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Lian Yi
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Carrie D. Nicora
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Tong Zhang
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Huanming Wu
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Jon Jacobs
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Keqi Tang
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Jacob Kagan
- Cancer Biomarkers Research Group, Division of Cancer Prevention, National Cancer Institute, Bethesda, Maryland 20892, United States
| | - Sudhir Srivastava
- Cancer Biomarkers Research Group, Division of Cancer Prevention, National Cancer Institute, Bethesda, Maryland 20892, United States
| | - Karin D. Rodland
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Wei-Jun Qian
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Richard D. Smith
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Tao Liu
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - H. Steven Wiley
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Tujin Shi
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
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40
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Lewandowska D, Zhang R, Colas I, Uzrek N, Waugh R. Application of a Sensitive and Reproducible Label-Free Proteomic Approach to Explore the Proteome of Individual Meiotic-Phase Barley Anthers. FRONTIERS IN PLANT SCIENCE 2019; 10:393. [PMID: 31001307 PMCID: PMC6454111 DOI: 10.3389/fpls.2019.00393] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Accepted: 03/14/2019] [Indexed: 05/02/2023]
Abstract
Meiosis is a highly dynamic and precisely regulated process of cell division, leading to the production of haploid gametes from one diploid parental cell. In the crop plant barley (Hordeum vulgare), male meiosis occurs in anthers, in specialized cells called meiocytes. Barley meiotic tissue is scarce and not easily accessible, making meiosis study a challenging task. We describe here a new micro-proteomics workflow that allows sensitive and reproducible genome-wide label-free proteomic analysis of individual staged barley anthers. This micro-proteomic approach detects more than 4,000 proteins from such small amounts of material as two individual anthers, covering a dynamic range of protein relative abundance levels across five orders of magnitude. We applied our micro-proteomics workflow to investigate the proteome of the developing barley anther containing pollen mother cells in the early stages of meiosis and we successfully identified 57 known and putative meiosis-related proteins. Meiotic proteins identified in our study were found to be key players of many steps and processes in early prophase such as: chromosome condensation, synapsis, DNA double-strand breaks or crossover formation. Considering the small amount of starting material, this work demonstrates an important technological advance in plant proteomics and can be applied for proteomic examination of many size-limited plant specimens. Moreover, it is the first insight into the proteome of individual barley anther at early meiosis. The proteomic data have been deposited to the ProteomeXchange with the accession number PXD010887.
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Affiliation(s)
| | - Runxuan Zhang
- Information and Computational Sciences, The James Hutton Institute, Dundee, United Kingdom
| | - Isabelle Colas
- Cell and Molecular Sciences, The James Hutton Institute, Dundee, United Kingdom
| | - Nicola Uzrek
- Cell and Molecular Sciences, The James Hutton Institute, Dundee, United Kingdom
| | - Robbie Waugh
- Cell and Molecular Sciences, The James Hutton Institute, Dundee, United Kingdom
- School of Life Sciences, University of Dundee, Dundee, United Kingdom
- *Correspondence: Robbie Waugh,
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41
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Abstract
INTRODUCTION Nanoproteomics, which is defined as quantitative proteome profiling of small populations of cells (<5000 cells), can reveal critical information related to rare cell populations, hard-to-obtain clinical specimens, and the cellular heterogeneity of pathological tissues. Areas covered: We present a brief review of the recent technological advances in nanoproteomics. These advances include new technologies or approaches covering major areas of proteomics workflow ranging from sample isolation, sample processing, high-resolution separations, to MS instrumentation. Expert commentary: We comment on the current state of nanoproteomics and discuss perspectives on both future technological directions and potential enabling applications.
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Affiliation(s)
- Ying Zhu
- a Environmental and Molecular Sciences Laboratory, Pacific Northwest National Laboratory , Richland , WA , USA
| | - Paul D Piehowski
- b Biological Sciences Division , Pacific Northwest National Laboratory , Richland , WA , USA
| | - Ryan T Kelly
- a Environmental and Molecular Sciences Laboratory, Pacific Northwest National Laboratory , Richland , WA , USA
| | - Wei-Jun Qian
- b Biological Sciences Division , Pacific Northwest National Laboratory , Richland , WA , USA
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42
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Kushner IK, Clair G, Purvine SO, Lee JY, Adkins JN, Payne SH. Individual Variability of Protein Expression in Human Tissues. J Proteome Res 2018; 17:3914-3922. [PMID: 30300549 DOI: 10.1021/acs.jproteome.8b00580] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Human tissues are known to exhibit interindividual variability, but a deeper understanding of the different factors affecting protein expression is necessary to further apply this knowledge. Our goal was to explore the proteomic variability between individuals as well as between healthy and diseased samples, and to test the efficacy of machine learning classifiers. In order to investigate whether disparate proteomics data sets may be combined, we performed a retrospective analysis of proteomics data from 9 different human tissues. These data sets represent several different sample prep methods, mass spectrometry instruments, and tissue health. Using these data, we examined interindividual and intertissue variability in peptide expression, and analyzed the methods required to build accurate tissue classifiers. We also evaluated the limits of tissue classification by downsampling the peptide data to simulate situations where less data is available, such as clinical biopsies, laser capture microdissection or potentially single-cell proteomics. Our findings reveal the strong potential for utilizing proteomics data to build robust tissue classifiers, which has many prospective clinical applications for evaluating the applicability of model clinical systems.
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Affiliation(s)
- Irena K Kushner
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99336 , United States
| | - Geremy Clair
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99336 , United States
| | - Samuel Owen Purvine
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99336 , United States
| | - Joon-Yong Lee
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99336 , United States
| | - Joshua N Adkins
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99336 , United States
| | - Samuel H Payne
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99336 , United States
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43
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Matsushita K, Golgotiu K, Orton DJ, Smith RD, Rodland KD, Piehowski PD, Hutchens MP. Micropuncture of Bowman's Space in Mice Facilitated by 2 Photon Microscopy. J Vis Exp 2018. [PMID: 30371667 PMCID: PMC6235460 DOI: 10.3791/58206] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Renal micropuncture and renal 2-photon imaging are seminal techniques in renal physiology. However, micropuncture is limited by dependence on conventional microscopy to surface nephron features, and 2-photon studies are limited in that interventions can only be assessed at the organ, rather than the nephron level. In particular, micropuncture studies of the glomeruli of mice have been challenged by the paucity of surface glomeruli in mice. To address this limitation in order to pursue studies of aspirate from Bowman's space in mouse physiologic models, we developed 2-photon glomerular micropuncture. We present a novel surgical preparation that allows lateral access to the kidney while preserving the required vertical imaging column for 2-photon microscopy. Administration of high molecular weight fluorescein isothiocyanate (FITC)-dextran is used to render the renal vasculature and therefore glomeruli visible for 2-photon imaging. A quantum dot-coated pipette is then introduced under stereotactic guidance to a glomerulus selected from the several to many which may be visualized within the imaging window. In this protocol, we provide details of the preparation, materials, and methods necessary to carry out the procedure. This technique facilitates previously-impossible physiologic study of the kidney, including recovery of filtrate from Bowman's space and all segments of the nephron within the imaging depth limit, about 100 µm below the renal capsule. Pressure, charge and flow may all be measured using the introduced pipette. Here, we provide representative data from liquid chromatography/mass spectrometry performed on aspirate from Bowman's space. We expect this technique to have wide applicability in renal physiologic investigation.
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Affiliation(s)
| | - Kirsti Golgotiu
- Anesthesiology & Perioperative Medicine, Oregon Health & Science University
| | - Daniel J Orton
- Environmental and Biological Services Division, Pacific Northwest National Laboratory
| | - Richard D Smith
- Environmental and Biological Services Division, Pacific Northwest National Laboratory
| | - Karin D Rodland
- Environmental and Biological Services Division, Pacific Northwest National Laboratory
| | - Paul D Piehowski
- Environmental and Biological Services Division, Pacific Northwest National Laboratory
| | - Michael P Hutchens
- Anesthesiology & Perioperative Medicine, Oregon Health & Science University; Operative Care Division, Portland Veterans Affairs Medical Center;
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44
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Kyle JE, Clair G, Bandyopadhyay G, Misra RS, Zink EM, Bloodsworth KJ, Shukla AK, Du Y, Lillis J, Myers JR, Ashton J, Bushnell T, Cochran M, Deutsch G, Baker ES, Carson JP, Mariani TJ, Xu Y, Whitsett JA, Pryhuber G, Ansong C. Cell type-resolved human lung lipidome reveals cellular cooperation in lung function. Sci Rep 2018; 8:13455. [PMID: 30194354 PMCID: PMC6128932 DOI: 10.1038/s41598-018-31640-x] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2018] [Accepted: 07/26/2018] [Indexed: 12/21/2022] Open
Abstract
Cell type-resolved proteome analyses of the brain, heart and liver have been reported, however a similar effort on the lipidome is currently lacking. Here we applied liquid chromatography-tandem mass spectrometry to characterize the lipidome of major lung cell types isolated from human donors, representing the first lipidome map of any organ. We coupled this with cell type-resolved proteomics of the same samples (available at Lungmap.net). Complementary proteomics analyses substantiated the functional identity of the isolated cells. Lipidomics analyses showed significant variations in the lipidome across major human lung cell types, with differences most evident at the subclass and intra-subclass (i.e. total carbon length of the fatty acid chains) level. Further, lipidomic signatures revealed an overarching posture of high cellular cooperation within the human lung to support critical functions. Our complementary cell type-resolved lipid and protein datasets serve as a rich resource for analyses of human lung function.
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Affiliation(s)
- Jennifer E Kyle
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA
| | - Geremy Clair
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA
| | - Gautam Bandyopadhyay
- Department of Pediatrics, University of Rochester School of Medicine and Dentistry, 601 Elmwood Avenue, Rochester, NY, 14642, USA
| | - Ravi S Misra
- Department of Pediatrics, University of Rochester School of Medicine and Dentistry, 601 Elmwood Avenue, Rochester, NY, 14642, USA
| | - Erika M Zink
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA
| | - Kent J Bloodsworth
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA
| | - Anil K Shukla
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA
| | - Yina Du
- Division of Pulmonary Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA
| | - Jacquelyn Lillis
- Genomics Research Center, University of Rochester School of Medicine and Dentistry, 601 Elmwood Avenue, Rochester, NY, 14642, USA
| | - Jason R Myers
- Genomics Research Center, University of Rochester School of Medicine and Dentistry, 601 Elmwood Avenue, Rochester, NY, 14642, USA
| | - John Ashton
- Genomics Research Center, University of Rochester School of Medicine and Dentistry, 601 Elmwood Avenue, Rochester, NY, 14642, USA
| | - Timothy Bushnell
- Flow Cytometry Core Facility, University of Rochester School of Medicine and Dentistry, 601 Elmwood Avenue, Rochester, NY, 14642, USA
| | - Matthew Cochran
- Flow Cytometry Core Facility, University of Rochester School of Medicine and Dentistry, 601 Elmwood Avenue, Rochester, NY, 14642, USA
| | - Gail Deutsch
- Department of Pathology, Seattle Children's Hospital, Seattle, WA, 98105, USA
| | - Erin S Baker
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA
| | - James P Carson
- Texas Advanced Computing Center, University of Texas at Austin, Austin, TX, 78712, USA
| | - Thomas J Mariani
- Department of Pediatrics, University of Rochester School of Medicine and Dentistry, 601 Elmwood Avenue, Rochester, NY, 14642, USA
| | - Yan Xu
- Division of Pulmonary Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA
| | - Jeffrey A Whitsett
- Division of Pulmonary Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA
| | - Gloria Pryhuber
- Department of Pediatrics, University of Rochester School of Medicine and Dentistry, 601 Elmwood Avenue, Rochester, NY, 14642, USA
| | - Charles Ansong
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.
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45
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Facile carrier-assisted targeted mass spectrometric approach for proteomic analysis of low numbers of mammalian cells. Commun Biol 2018; 1:103. [PMID: 30271983 PMCID: PMC6123794 DOI: 10.1038/s42003-018-0107-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2017] [Accepted: 07/10/2018] [Indexed: 01/04/2023] Open
Abstract
There is an unmet technical challenge for mass spectrometry (MS)-based proteomic analysis of single mammalian cells. Quantitative proteomic analysis of single cells has been previously achieved by antibody-based immunoassays but is limited by the availability of high-quality antibodies. Herein we report a facile targeted MS-based proteomics method, termed cPRISM-SRM (carrier-assisted high-pressure, high-resolution separations with intelligent selection and multiplexing coupled to selected reaction monitoring), for reliable analysis of low numbers of mammalian cells. The method capitalizes on using “carrier protein” to assist processing of low numbers of cells with minimal loss, high-resolution PRISM separation for target peptide enrichment, and sensitive SRM for protein quantification. We have demonstrated that cPRISM-SRM has sufficient sensitivity to quantify proteins expressed at ≥200,000 copies per cell at the single-cell level and ≥3000 copies per cell in 100 mammalian cells. We envision that with further improvement cPRISM-SRM has the potential to move toward targeted MS-based single-cell proteomics. Tujin Shi et al. report a mass spectrometry-based proteomics approach, cPRISM-SRM, that allows for accurate quantification of proteins in small numbers of mammalian cells through the use of a carrier protein to prevent sample loss. The sensitivity of cPRISM-SRM allows for measurement of the 2500 most abundant proteins in a human cell.
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46
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Stoddard EG, Volk RF, Carson JP, Ljungberg CM, Murphree TA, Smith JN, Sadler NC, Shukla AK, Ansong C, Wright AT. Multifunctional Activity-Based Protein Profiling of the Developing Lung. J Proteome Res 2018; 17:2623-2634. [PMID: 29972024 DOI: 10.1021/acs.jproteome.8b00086] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Lung diseases and disorders are a leading cause of death among infants. Many of these diseases and disorders are caused by premature birth and underdeveloped lungs. In addition to developmentally related disorders, the lungs are exposed to a variety of environmental contaminants and xenobiotics upon birth that can cause breathing issues and are progenitors of cancer. In order to gain a deeper understanding of the developing lung, we applied an activity-based chemoproteomics approach for the functional characterization of the xenometabolizing cytochrome P450 enzymes, active ATP and nucleotide binding enzymes, and serine hydrolases using a suite of activity-based probes (ABPs). We detected P450 activity primarily in the postnatal lung; using our ATP-ABP, we characterized a wide range of ATPases and other active nucleotide- and nucleic acid-binding enzymes involved in multiple facets of cellular metabolism throughout development. ATP-ABP targets include kinases, phosphatases, NAD- and FAD-dependent enzymes, RNA/DNA helicases, and others. The serine hydrolase-targeting probe detected changes in the activities of several proteases during the course of lung development, yielding insights into protein turnover at different stages of development. Select activity-based probe targets were then correlated with RNA in situ hybridization analyses of lung tissue sections.
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Affiliation(s)
- Ethan G Stoddard
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99352 , United States
| | - Regan F Volk
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99352 , United States
| | - James P Carson
- Texas Advanced Computing Center , University of Texas at Austin , Austin , Texas 78758 , United States
| | - Cecilia M Ljungberg
- Department of Pediatrics, Baylor College of Medicine , Jan and Dan Duncan Neurological Research Center at Texas Children's Hospital , Houston , Texas 77030 , United States
| | - Taylor A Murphree
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99352 , United States
| | - Jordan N Smith
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99352 , United States
| | - Natalie C Sadler
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99352 , United States
| | - Anil K Shukla
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99352 , United States
| | - Charles Ansong
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99352 , United States
| | - Aaron T Wright
- Biological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99352 , United States.,The Gene and Linda Voiland School of Chemical Engineering and Bioengineering , Washington State University , Pullman , Washington 99163 , United States
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47
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Zhu Y, Dou M, Piehowski PD, Liang Y, Wang F, Chu RK, Chrisler WB, Smith JN, Schwarz KC, Shen Y, Shukla AK, Moore RJ, Smith RD, Qian WJ, Kelly RT. Spatially Resolved Proteome Mapping of Laser Capture Microdissected Tissue with Automated Sample Transfer to Nanodroplets. Mol Cell Proteomics 2018; 17:1864-1874. [PMID: 29941660 DOI: 10.1074/mcp.tir118.000686] [Citation(s) in RCA: 92] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Revised: 05/09/2018] [Indexed: 01/10/2023] Open
Abstract
Current mass spectrometry (MS)-based proteomics approaches are ineffective for mapping protein expression in tissue sections with high spatial resolution because of the limited overall sensitivity of conventional workflows. Here we report an integrated and automated method to advance spatially resolved proteomics by seamlessly coupling laser capture microdissection (LCM) with a recently developed nanoliter-scale sample preparation system termed nanoPOTS (Nanodroplet Processing in One pot for Trace Samples). The workflow is enabled by prepopulating nanowells with DMSO, which serves as a sacrificial capture liquid for microdissected tissues. The DMSO droplets efficiently collect laser-pressure catapulted LCM tissues as small as 20 μm in diameter with success rates >87%. We also demonstrate that tissue treatment with DMSO can significantly improve proteome coverage, likely due to its ability to dissolve lipids from tissue and enhance protein extraction efficiency. The LCM-nanoPOTS platform was able to identify 180, 695, and 1827 protein groups on average from 12-μm-thick rat brain cortex tissue sections having diameters of 50, 100, and 200 μm, respectively. We also analyzed 100-μm-diameter sections corresponding to 10-18 cells from three different regions of rat brain and comparatively quantified ∼1000 proteins, demonstrating the potential utility for high-resolution spatially resolved mapping of protein expression in tissues.
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Affiliation(s)
- Ying Zhu
- From the ‡Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354
| | - Maowei Dou
- From the ‡Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354
| | - Paul D Piehowski
- §Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354
| | - Yiran Liang
- From the ‡Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354
| | - Fangjun Wang
- ¶CAS Key Laboratory of Separation Sciences for Analytical Chemistry, National Chromatographic R&A Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences (CAS), Dalian 116023, China
| | - Rosalie K Chu
- From the ‡Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354
| | - William B Chrisler
- §Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354
| | - Jordan N Smith
- §Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354
| | - Kaitlynn C Schwarz
- From the ‡Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354
| | - Yufeng Shen
- §Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354
| | - Anil K Shukla
- §Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354
| | - Ronald J Moore
- §Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354
| | - Richard D Smith
- §Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354
| | - Wei-Jun Qian
- §Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354
| | - Ryan T Kelly
- From the ‡Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354;
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48
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Zhu Y, Clair G, Chrisler WB, Shen Y, Zhao R, Shukla AK, Moore RJ, Misra RS, Pryhuber GS, Smith RD, Ansong C, Kelly RT. Proteomic Analysis of Single Mammalian Cells Enabled by Microfluidic Nanodroplet Sample Preparation and Ultrasensitive NanoLC-MS. Angew Chem Int Ed Engl 2018; 57:12370-12374. [PMID: 29797682 DOI: 10.1002/anie.201802843] [Citation(s) in RCA: 174] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Revised: 05/21/2018] [Indexed: 01/22/2023]
Abstract
We report on the quantitative proteomic analysis of single mammalian cells. Fluorescence-activated cell sorting was employed to deposit cells into a newly developed nanodroplet sample processing chip, after which samples were analyzed by ultrasensitive nanoLC-MS. An average of circa 670 protein groups were confidently identified from single HeLa cells, which is a far greater level of proteome coverage for single cells than has been previously reported. We demonstrate that the single-cell proteomics platform can be used to differentiate cell types from enzyme-dissociated human lung primary cells and identify specific protein markers for epithelial and mesenchymal cells.
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Affiliation(s)
- Ying Zhu
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, 99354, USA
| | - Geremy Clair
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA
| | - William B Chrisler
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA
| | - Yufeng Shen
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA
| | - Rui Zhao
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, 99354, USA
| | - Anil K Shukla
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA
| | - Ronald J Moore
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA
| | - Ravi S Misra
- Department of Pediatrics-Neonatology, University of Rochester Medical Center, Rochester, NY, 14642, USA
| | - Gloria S Pryhuber
- Department of Pediatrics-Neonatology, University of Rochester Medical Center, Rochester, NY, 14642, USA
| | - Richard D Smith
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA
| | - Charles Ansong
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA
| | - Ryan T Kelly
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, 99354, USA
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Zhu Y, Clair G, Chrisler WB, Shen Y, Zhao R, Shukla AK, Moore RJ, Misra RS, Pryhuber GS, Smith RD, Ansong C, Kelly RT. Proteomic Analysis of Single Mammalian Cells Enabled by Microfluidic Nanodroplet Sample Preparation and Ultrasensitive NanoLC-MS. Angew Chem Int Ed Engl 2018. [DOI: 10.1002/ange.201802843] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Ying Zhu
- Environmental Molecular Sciences Laboratory; Pacific Northwest National Laboratory; Richland WA 99354 USA
| | - Geremy Clair
- Biological Sciences Division; Pacific Northwest National Laboratory; Richland WA 99354 USA
| | - William B. Chrisler
- Biological Sciences Division; Pacific Northwest National Laboratory; Richland WA 99354 USA
| | - Yufeng Shen
- Biological Sciences Division; Pacific Northwest National Laboratory; Richland WA 99354 USA
| | - Rui Zhao
- Environmental Molecular Sciences Laboratory; Pacific Northwest National Laboratory; Richland WA 99354 USA
| | - Anil K. Shukla
- Biological Sciences Division; Pacific Northwest National Laboratory; Richland WA 99354 USA
| | - Ronald J. Moore
- Biological Sciences Division; Pacific Northwest National Laboratory; Richland WA 99354 USA
| | - Ravi S. Misra
- Department of Pediatrics-Neonatology; University of Rochester Medical Center; Rochester NY 14642 USA
| | - Gloria S. Pryhuber
- Department of Pediatrics-Neonatology; University of Rochester Medical Center; Rochester NY 14642 USA
| | - Richard D. Smith
- Biological Sciences Division; Pacific Northwest National Laboratory; Richland WA 99354 USA
| | - Charles Ansong
- Biological Sciences Division; Pacific Northwest National Laboratory; Richland WA 99354 USA
| | - Ryan T. Kelly
- Environmental Molecular Sciences Laboratory; Pacific Northwest National Laboratory; Richland WA 99354 USA
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50
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Zhu Y, Zhao R, Piehowski PD, Moore RJ, Lim S, Orphan VJ, Paša-Tolić L, Qian WJ, Smith RD, Kelly RT. Subnanogram proteomics: impact of LC column selection, MS instrumentation and data analysis strategy on proteome coverage for trace samples. INTERNATIONAL JOURNAL OF MASS SPECTROMETRY 2018; 427:4-10. [PMID: 29576737 PMCID: PMC5863755 DOI: 10.1016/j.ijms.2017.08.016] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
One of the greatest challenges for mass spectrometry (MS)-based proteomics is the limited ability to analyze small samples. Here we investigate the relative contributions of liquid chromatography (LC), MS instrumentation and data analysis methods with the aim of improving proteome coverage for sample sizes ranging from 0.5 ng to 50 ng. We show that the LC separations utilizing 30-μm-i.d. columns increase signal intensity by >3-fold relative to those using 75-μm-i.d. columns, leading to 32% increase in peptide identifications. The Orbitrap Fusion Lumos MS significantly boosted both sensitivity and sequencing speed relative to earlier generation Orbitraps (e.g., LTQ-Orbitrap), leading to a ~3-fold increase in peptide identifications and 1.7-fold increase in identified protein groups for 2 ng tryptic digests of the bacterium S. oneidensis. The Match Between Runs algorithm of open-source MaxQuant software further increased proteome coverage by ~ 95% for 0.5 ng samples and by ~42% for 2 ng samples. Using the best combination of the above variables, we were able to identify >3,000 proteins from 10 ng tryptic digests from both HeLa and THP-1 mammalian cell lines. We also identified >950 proteins from subnanogram archaeal/bacterial cocultures. The present ultrasensitive LC-MS platform achieves a level of proteome coverage not previously realized for ultra-small sample loadings, and is expected to facilitate the analysis of subnanogram samples, including single mammalian cells.
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Affiliation(s)
- Ying Zhu
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Rui Zhao
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Paul D. Piehowski
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Ronald J. Moore
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Sujung Lim
- Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, California 91125, United States
| | - Victoria J. Orphan
- Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, California 91125, United States
| | - Ljiljana Paša-Tolić
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Wei-Jun Qian
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Richard D. Smith
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Ryan T. Kelly
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
- Corresponding author footnote: Ryan T. Kelly, William R. Wiley Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, P.O. Box 999, MSIN K8-91, Richland, WA 99352 USA, Tel: 509-371-6525, Fax: 509-371-6445,
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