1
|
Fridjonsdottir E, Nilsson A, Fricker LD, Andrén PE. Two Different Strategies for Stabilization of Brain Tissue and Extraction of Neuropeptides. Methods Mol Biol 2024; 2758:49-60. [PMID: 38549007 DOI: 10.1007/978-1-0716-3646-6_2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/02/2024]
Abstract
Neuropeptides are bioactive peptides that are synthesized and secreted by neurons in signaling pathways in the brain. Peptides and proteins are extremely vulnerable to proteolytic cleavage when their biological surrounding changes. This makes neuropeptidomics challenging due to the rapid alterations that occur to the peptidome after harvesting of brain tissue samples. For a successful neuropeptidomic study, the biological tissue sample analyzed should resemble the living state as much as possible. Heat stabilization has been proven to inhibit postmortem degradation by denaturing proteolytic enzymes, hence increasing identification rates of neuropeptides. Here, we describe two different stabilization protocols for rodent brain samples that increase the number of intact mature neuropeptides and minimize interference from degradation products of abundant proteins. Additionally, we present an extraction protocol that aims to extract a wide range of hydrophilic and hydrophobic neuropeptides by sequentially using an aqueous and an organic extraction medium.
Collapse
Affiliation(s)
- Elva Fridjonsdottir
- Department of Pharmaceutical Biosciences, Spatial Mass Spectrometry, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Anna Nilsson
- Department of Pharmaceutical Biosciences, Spatial Mass Spectrometry, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Lloyd D Fricker
- Department of Molecular Pharmacology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Per E Andrén
- Department of Pharmaceutical Biosciences, Spatial Mass Spectrometry, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
| |
Collapse
|
2
|
Kobeissy F, Goli M, Yadikar H, Shakkour Z, Kurup M, Haidar MA, Alroumi S, Mondello S, Wang KK, Mechref Y. Advances in neuroproteomics for neurotrauma: unraveling insights for personalized medicine and future prospects. Front Neurol 2023; 14:1288740. [PMID: 38073638 PMCID: PMC10703396 DOI: 10.3389/fneur.2023.1288740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 11/01/2023] [Indexed: 02/12/2024] Open
Abstract
Neuroproteomics, an emerging field at the intersection of neuroscience and proteomics, has garnered significant attention in the context of neurotrauma research. Neuroproteomics involves the quantitative and qualitative analysis of nervous system components, essential for understanding the dynamic events involved in the vast areas of neuroscience, including, but not limited to, neuropsychiatric disorders, neurodegenerative disorders, mental illness, traumatic brain injury, chronic traumatic encephalopathy, and other neurodegenerative diseases. With advancements in mass spectrometry coupled with bioinformatics and systems biology, neuroproteomics has led to the development of innovative techniques such as microproteomics, single-cell proteomics, and imaging mass spectrometry, which have significantly impacted neuronal biomarker research. By analyzing the complex protein interactions and alterations that occur in the injured brain, neuroproteomics provides valuable insights into the pathophysiological mechanisms underlying neurotrauma. This review explores how such insights can be harnessed to advance personalized medicine (PM) approaches, tailoring treatments based on individual patient profiles. Additionally, we highlight the potential future prospects of neuroproteomics, such as identifying novel biomarkers and developing targeted therapies by employing artificial intelligence (AI) and machine learning (ML). By shedding light on neurotrauma's current state and future directions, this review aims to stimulate further research and collaboration in this promising and transformative field.
Collapse
Affiliation(s)
- Firas Kobeissy
- Department of Neurobiology, School of Medicine, Neuroscience Institute, Atlanta, GA, United States
| | - Mona Goli
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, United States
| | - Hamad Yadikar
- Department of Biological Sciences Faculty of Science, Kuwait University, Safat, Kuwait
| | - Zaynab Shakkour
- Department of Pathology and Anatomical Sciences, University of Missouri School of Medicine, Columbia, MO, United States
| | - Milin Kurup
- Alabama College of Osteopathic Medicine, Dothan, AL, United States
| | | | - Shahad Alroumi
- Department of Biological Sciences Faculty of Science, Kuwait University, Safat, Kuwait
| | - Stefania Mondello
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy
| | - Kevin K. Wang
- Department of Neurobiology, School of Medicine, Neuroscience Institute, Atlanta, GA, United States
| | - Yehia Mechref
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, United States
| |
Collapse
|
3
|
Phetsanthad A, Vu NQ, Yu Q, Buchberger AR, Chen Z, Keller C, Li L. Recent advances in mass spectrometry analysis of neuropeptides. MASS SPECTROMETRY REVIEWS 2023; 42:706-750. [PMID: 34558119 PMCID: PMC9067165 DOI: 10.1002/mas.21734] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 08/22/2021] [Accepted: 08/28/2021] [Indexed: 05/08/2023]
Abstract
Due to their involvement in numerous biochemical pathways, neuropeptides have been the focus of many recent research studies. Unfortunately, classic analytical methods, such as western blots and enzyme-linked immunosorbent assays, are extremely limited in terms of global investigations, leading researchers to search for more advanced techniques capable of probing the entire neuropeptidome of an organism. With recent technological advances, mass spectrometry (MS) has provided methodology to gain global knowledge of a neuropeptidome on a spatial, temporal, and quantitative level. This review will cover key considerations for the analysis of neuropeptides by MS, including sample preparation strategies, instrumental advances for identification, structural characterization, and imaging; insightful functional studies; and newly developed absolute and relative quantitation strategies. While many discoveries have been made with MS, the methodology is still in its infancy. Many of the current challenges and areas that need development will also be highlighted in this review.
Collapse
Affiliation(s)
- Ashley Phetsanthad
- Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, WI 53706, USA
| | - Nhu Q. Vu
- Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, WI 53706, USA
| | - Qing Yu
- School of Pharmacy, University of Wisconsin-Madison, 777 Highland Avenue, Madison, WI 53705, USA
| | - Amanda R. Buchberger
- Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, WI 53706, USA
| | - Zhengwei Chen
- Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, WI 53706, USA
| | - Caitlin Keller
- Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, WI 53706, USA
| | - Lingjun Li
- Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, WI 53706, USA
- School of Pharmacy, University of Wisconsin-Madison, 777 Highland Avenue, Madison, WI 53705, USA
| |
Collapse
|
4
|
Anapindi KDB, Romanova EV, Checco JW, Sweedler JV. Mass Spectrometry Approaches Empowering Neuropeptide Discovery and Therapeutics. Pharmacol Rev 2022; 74:662-679. [PMID: 35710134 DOI: 10.1124/pharmrev.121.000423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
The discovery of insulin in the early 1900s ushered in the era of research related to peptides acting as hormones and neuromodulators, among other regulatory roles. These essential gene products are found in all organisms, from the most primitive to the most evolved, and carry important biologic information that coordinates complex physiology and behavior; their misregulation has been implicated in a variety of diseases. The evolutionary origins of at least 30 neuropeptide signaling systems have been traced to the common ancestor of protostomes and deuterostomes. With the use of relevant animal models and modern technologies, we can gain mechanistic insight into orthologous and paralogous endogenous peptides and translate that knowledge into medically relevant insights and new treatments. Groundbreaking advances in medicine and basic science influence how signaling peptides are defined today. The precise mechanistic pathways for over 100 endogenous peptides in mammals are now known and have laid the foundation for multiple drug development pipelines. Peptide biologics have become valuable drugs due to their unique specificity and biologic activity, lack of toxic metabolites, and minimal undesirable interactions. This review outlines modern technologies that enable neuropeptide discovery and characterization, and highlights lessons from nature made possible by neuropeptide research in relevant animal models that is being adopted by the pharmaceutical industry. We conclude with a brief overview of approaches/strategies for effective development of peptides as drugs. SIGNIFICANCE STATEMENT: Neuropeptides, an important class of cell-cell signaling molecules, are involved in maintaining a range of physiological functions. Since the discovery of insulin's activity, over 100 bioactive peptides and peptide analogs have been used as therapeutics. Because these are complex molecules not easily predicted from a genome and their activity can change with subtle chemical modifications, mass spectrometry (MS) has significantly empowered peptide discovery and characterization. This review highlights contributions of MS-based research towards the development of therapeutic peptides.
Collapse
Affiliation(s)
- Krishna D B Anapindi
- Department of Chemistry and the Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, Illinois (K.D.B.A., E.V.R., J.V.S.) and Department of Chemistry, University of Nebraska-Lincoln, Lincoln, Nebraska (J.W.C.)
| | - Elena V Romanova
- Department of Chemistry and the Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, Illinois (K.D.B.A., E.V.R., J.V.S.) and Department of Chemistry, University of Nebraska-Lincoln, Lincoln, Nebraska (J.W.C.)
| | - James W Checco
- Department of Chemistry and the Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, Illinois (K.D.B.A., E.V.R., J.V.S.) and Department of Chemistry, University of Nebraska-Lincoln, Lincoln, Nebraska (J.W.C.)
| | - Jonathan V Sweedler
- Department of Chemistry and the Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, Illinois (K.D.B.A., E.V.R., J.V.S.) and Department of Chemistry, University of Nebraska-Lincoln, Lincoln, Nebraska (J.W.C.)
| |
Collapse
|
5
|
Chatterjee O, Gopalakrishnan L, Mol P, Advani J, Nair B, Shankar SK, Mahadevan A, Prasad TSK. The Normal Human Adult Hypothalamus Proteomic Landscape: Rise of Neuroproteomics in Biological Psychiatry and Systems Biology. OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY 2021; 25:693-710. [PMID: 34714154 DOI: 10.1089/omi.2021.0158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
The human hypothalamus is central to the regulation of neuroendocrine and neurovegetative systems, as well as modulation of chronobiology and behavioral aspects in human health and disease. Surprisingly, a deep proteomic analysis of the normal human hypothalamic proteome has been missing for such an important organ so far. In this study, we delineated the human hypothalamus proteome using a high-resolution mass spectrometry approach which resulted in the identification of 5349 proteins, while a multiple post-translational modification (PTM) search identified 191 additional proteins, which were missed in the first search. A proteogenomic analysis resulted in the discovery of multiple novel protein-coding regions as we identified proteins from noncoding regions (pseudogenes) and proteins translated from short open reading frames that can be missed using the traditional pipeline of prediction of protein-coding genes as a part of genome annotation. We also identified several PTMs of hypothalamic proteins that may be required for normal hypothalamic functions. Moreover, we observed an enrichment of proteins pertaining to autophagy and adult neurogenesis in the proteome data. We believe that the hypothalamic proteome reported herein would help to decipher the molecular basis for the diverse range of physiological functions attributed to it, as well as its role in neurological and psychiatric diseases. Extensive proteomic profiling of the hypothalamic nuclei would further elaborate on the role and functional characterization of several hypothalamus-specific proteins and pathways to inform future research and clinical discoveries in biological psychiatry, neurology, and system biology.
Collapse
Affiliation(s)
- Oishi Chatterjee
- Institute of Bioinformatics, Bangalore India.,Amrita School of Biotechnology, Amrita University, Kollam, India.,Center for Systems Biology and Molecular Medicine, Yenepoya Research Center, Yenepoya (Deemed to be University), Mangalore, India
| | - Lathika Gopalakrishnan
- Institute of Bioinformatics, Bangalore India.,Center for Systems Biology and Molecular Medicine, Yenepoya Research Center, Yenepoya (Deemed to be University), Mangalore, India.,Manipal Academy of Higher Education, Manipal, India
| | - Praseeda Mol
- Institute of Bioinformatics, Bangalore India.,Amrita School of Biotechnology, Amrita University, Kollam, India
| | | | - Bipin Nair
- Amrita School of Biotechnology, Amrita University, Kollam, India
| | - Susarla Krishna Shankar
- Department of Neuropathology, National Institute of Mental Health and Neurosciences, Bangalore, India.,Human Brain Tissue Repository, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Anita Mahadevan
- Department of Neuropathology, National Institute of Mental Health and Neurosciences, Bangalore, India.,Human Brain Tissue Repository, National Institute of Mental Health and Neurosciences, Bangalore, India
| | | |
Collapse
|
6
|
Goodwin RJA, Takats Z, Bunch J. A Critical and Concise Review of Mass Spectrometry Applied to Imaging in Drug Discovery. SLAS DISCOVERY 2020; 25:963-976. [PMID: 32713279 DOI: 10.1177/2472555220941843] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
During the past decade, mass spectrometry imaging (MSI) has become a robust and versatile methodology to support modern pharmaceutical research and development. The technologies provide data on the biodistribution, metabolism, and delivery of drugs in tissues, while also providing molecular maps of endogenous metabolites, lipids, and proteins. This allows researchers to make both pharmacokinetic and pharmacodynamic measurements at cellular resolution in tissue sections or clinical biopsies. Despite drug imaging within samples now playing a vital role within research and development (R&D) in leading pharmaceutical companies, however, the challenges in turning compounds into medicines continue to evolve as rapidly as the technologies used to discover them. The increasing cost of development of new and emerging therapeutic modalities, along with the associated risks of late-stage program attrition, means there is still an unmet need in our ability to address an increasing array of challenging bioanalytical questions within drug discovery. We require new capabilities and strategies of integrated imaging to provide context for fundamental disease-related biological questions that can also offer insights into specific project challenges. Integrated molecular imaging and advanced image analysis have the opportunity to provide a world-class capability that can be deployed on projects in which we cannot answer the question with our battery of established assays. Therefore, here we will provide an updated concise review of the use of MSI for drug discovery; we will also critically consider what is required to embed MSI into a wider evolving R&D landscape and allow long-lasting impact in the industry.
Collapse
Affiliation(s)
- Richard J A Goodwin
- Clinical Pharmacology and Safety Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK.,Institute of Infection, Immunity, and Inflammation, College of Medical, Veterinary, and Life Sciences, University of Glasgow, UK
| | - Zoltan Takats
- Department of Surgery and Cancer, Faculty of Medicine, Imperial College, London, UK.,The Rosalind Franklin Institute, Oxfordshire, UK
| | - Josephine Bunch
- Department of Surgery and Cancer, Faculty of Medicine, Imperial College, London, UK.,The Rosalind Franklin Institute, Oxfordshire, UK.,National Physical Laboratory, Teddington, London, UK
| |
Collapse
|
7
|
Greenlip Abalone ( Haliotis laevigata) Genome and Protein Analysis Provides Insights into Maturation and Spawning. G3-GENES GENOMES GENETICS 2019; 9:3067-3078. [PMID: 31413154 PMCID: PMC6778792 DOI: 10.1534/g3.119.400388] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Wild abalone (Family Haliotidae) populations have been severely affected by commercial fishing, poaching, anthropogenic pollution, environment and climate changes. These issues have stimulated an increase in aquaculture production; however production growth has been slow due to a lack of genetic knowledge and resources. We have sequenced a draft genome for the commercially important temperate Australian ‘greenlip’ abalone (Haliotis laevigata, Donovan 1808) and generated 11 tissue transcriptomes from a female adult abalone. Phylogenetic analysis of the greenlip abalone with reference to the Pacific abalone (Haliotis discus hannai) indicates that these abalone species diverged approximately 71 million years ago. This study presents an in-depth analysis into the features of reproductive dysfunction, where we provide the putative biochemical messenger components (neuropeptides) that may regulate reproduction including gonad maturation and spawning. Indeed, we isolate the egg-laying hormone neuropeptide and under trial conditions induce spawning at 80% efficiency. Altogether, we provide a solid platform for further studies aimed at stimulating advances in abalone aquaculture production. The H. laevigata genome and resources are made available to the public on the abalone ‘omics website, http://abalonedb.org.
Collapse
|
8
|
Fridjonsdottir E, Nilsson A, Wadensten H, Andrén PE. Brain Tissue Sample Stabilization and Extraction Strategies for Neuropeptidomics. Methods Mol Biol 2019; 1719:41-49. [PMID: 29476502 DOI: 10.1007/978-1-4939-7537-2_2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Neuropeptides are bioactive peptides that are synthesized and secreted by neurons in signaling pathways in the brain. Peptides and proteins are extremely vulnerable to proteolytic cleavage when their biological surrounding changes. This makes neuropeptidomics challenging due to the rapid alterations that occur to the peptidome after harvesting of brain tissue samples. For a successful neuropeptidomic study the biological tissue sample analyzed should resemble the premortem state as much as possible. Heat stabilization has been proven to inhibit postmortem degradation by denaturing proteolytic enzymes, hence increasing identification rates of neuropeptides. Here, we describe a stabilization protocol of a frozen tissue specimen that increases the number of intact mature neuropeptides identified and minimizes interference of degradation products from abundant proteins. Additionally, we present an extraction protocol that aims to extract a wide range of hydrophilic and hydrophobic neuropeptides by using both an aqueous and an organic extraction medium.
Collapse
Affiliation(s)
- Elva Fridjonsdottir
- Biomolecular Imaging and Proteomics, Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden
| | - Anna Nilsson
- Biomolecular Imaging and Proteomics, Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden
| | - Henrik Wadensten
- Biomolecular Imaging and Proteomics, Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden
| | - Per E Andrén
- Biomolecular Imaging and Proteomics, Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.
| |
Collapse
|
9
|
Yang N, Anapindi KDB, Romanova EV, Rubakhin SS, Sweedler JV. Improved identification and quantitation of mature endogenous peptides in the rodent hypothalamus using a rapid conductive sample heating system. Analyst 2018; 142:4476-4485. [PMID: 29098220 DOI: 10.1039/c7an01358b] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Measurement, identification, and quantitation of endogenous peptides in tissue samples by mass spectrometry (MS) contribute to our understanding of the complex molecular mechanisms of numerous biological phenomena. For accurate results, it is essential to arrest the postmortem degradation of ubiquitous proteins in samples prior to performing peptidomic measurements. Doing so ensures that the detection of endogenous peptides, typically present at relatively low levels of abundance, is not overwhelmed by protein degradation products. Heat stabilization has been shown to inactivate the enzymes in tissue samples and minimize the presence of protein degradation products in the subsequent peptide extracts. However, the efficacy of different heat treatments to preserve the integrity of full-length endogenous peptides has not been well documented; prior peptidomic studies of heat stabilization methods have not distinguished between the full-length (mature) and numerous truncated (possible artifacts of sampling) forms of endogenous peptides. We show that thermal sample treatment via rapid conductive heat transfer is effective for detection of mature endogenous peptides in fresh and frozen rodent brain tissues. Freshly isolated tissue processing with the commercial Stabilizor T1 heat stabilization system resulted in the confident identification of 65% more full-length mature neuropeptides compared to widely used sample treatment in a hot water bath. This finding was validated by a follow-up quantitative multiple reaction monitoring MS analysis of select neuropeptides. The rapid conductive heating in partial vacuum provided by the Stabilizor T1 effectively reduces protein degradation and decreases the chemical complexity of the sample, as assessed by determining total protein content. This system enabled the detection, identification, and quantitation of neuropeptides related to 22 prohormones expressed in individual rat hypothalami and suprachiasmatic nuclei.
Collapse
Affiliation(s)
- Ning Yang
- Department of Chemistry and the Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana 61801, USA.
| | | | | | | | | |
Collapse
|
10
|
DeAtley KL, Colgrave ML, Cánovas A, Wijffels G, Ashley RL, Silver GA, Rincon G, Medrano JF, Islas-Trejo A, Fortes MRS, Reverter A, Porto-Neto L, Lehnert SA, Thomas MG. Neuropeptidome of the Hypothalamus and Pituitary Gland of Indicine × Taurine Heifers: Evidence of Differential Neuropeptide Processing in the Pituitary Gland before and after Puberty. J Proteome Res 2018; 17:1852-1865. [PMID: 29510626 DOI: 10.1021/acs.jproteome.7b00875] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Puberty in cattle is regulated by an endocrine axis, which includes a complex milieu of neuropeptides in the hypothalamus and pituitary gland. The neuropeptidome of hypothalamic-pituitary gland tissue of pre- (PRE) and postpubertal (POST) Bos indicus-influenced heifers was characterized, followed by quantitative analysis of 51 fertility-related neuropeptides in these tissues. Comparison of peptide abundances with gene expression levels allowed assessment of post-transcriptional peptide processing. On the basis of classical cleavage, 124 mature neuropeptides from 35 precursor proteins were detected in hypothalamus and pituitary gland tissues of three PRE and three POST Brangus heifers. An additional 19 peptides (cerebellins, PEN peptides) previously reported as neuropeptides that did not follow classical cleavage were also identified. In the pre-pubertal hypothalamus, a greater diversity of neuropeptides (25.8%) was identified relative to post-pubertal heifers, while in the pituitary gland, 38.6% more neuropeptides were detected in the post-pubertal heifers. Neuro-tissues of PRE and POST heifers revealed abundance differences ( p < 0.05) in peptides from protein precursors involved in packaging and processing (e.g., the granin family and ProSAAS) or neuron stimulation (PENK, CART, POMC, cerebellins). On their own, the transcriptome data of the precursor genes could not predict the neuropeptide profile in the exact same tissues in several cases. This provides further evidence of the importance of differential processing of the neuropeptide precursors in the pituitary before and after puberty.
Collapse
Affiliation(s)
- Kasey L DeAtley
- Department of Animal and Range Sciences , New Mexico State University , Las Cruces , New Mexico 88003 , United States
| | - Michelle L Colgrave
- CSIRO, Agriculture and Food , 306 Carmody Road , St. Lucia , Queensland 4067 , Australia
| | - Angela Cánovas
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences , University of Guelph , Guelph , Ontario N1G 2W1 , Canada
| | - Gene Wijffels
- CSIRO, Agriculture and Food , 306 Carmody Road , St. Lucia , Queensland 4067 , Australia
| | - Ryan L Ashley
- Department of Animal and Range Sciences , New Mexico State University , Las Cruces , New Mexico 88003 , United States
| | - Gail A Silver
- Department of Animal and Range Sciences , New Mexico State University , Las Cruces , New Mexico 88003 , United States
| | - Gonzalo Rincon
- Zoetis Animal Health , Kalamazoo , Michigan 49007 , United States
| | - Juan F Medrano
- Department of Animal Science , University of California , Davis , California 95616 , United States
| | - Alma Islas-Trejo
- Department of Animal Science , University of California , Davis , California 95616 , United States
| | - Marina R S Fortes
- School of Chemistry and Molecular Biosciences , University of Queensland , St. Lucia , Queensland 4042 , Australia
- Queensland Alliance for Agriculture and Food Innovation, St. Lucia , Queensland 4072 , Australia
| | - Antonio Reverter
- CSIRO, Agriculture and Food , 306 Carmody Road , St. Lucia , Queensland 4067 , Australia
| | - Laercio Porto-Neto
- CSIRO, Agriculture and Food , 306 Carmody Road , St. Lucia , Queensland 4067 , Australia
| | - Sigrid A Lehnert
- CSIRO, Agriculture and Food , 306 Carmody Road , St. Lucia , Queensland 4067 , Australia
| | - Milton G Thomas
- Department of Animal Sciences , Colorado State University , Fort Collins , Colorado 80523 , United States
| |
Collapse
|
11
|
Khan AM, Grant AH, Martinez A, Burns GAPC, Thatcher BS, Anekonda VT, Thompson BW, Roberts ZS, Moralejo DH, Blevins JE. Mapping Molecular Datasets Back to the Brain Regions They are Extracted from: Remembering the Native Countries of Hypothalamic Expatriates and Refugees. ADVANCES IN NEUROBIOLOGY 2018; 21:101-193. [PMID: 30334222 PMCID: PMC6310046 DOI: 10.1007/978-3-319-94593-4_6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
This article focuses on approaches to link transcriptomic, proteomic, and peptidomic datasets mined from brain tissue to the original locations within the brain that they are derived from using digital atlas mapping techniques. We use, as an example, the transcriptomic, proteomic and peptidomic analyses conducted in the mammalian hypothalamus. Following a brief historical overview, we highlight studies that have mined biochemical and molecular information from the hypothalamus and then lay out a strategy for how these data can be linked spatially to the mapped locations in a canonical brain atlas where the data come from, thereby allowing researchers to integrate these data with other datasets across multiple scales. A key methodology that enables atlas-based mapping of extracted datasets-laser-capture microdissection-is discussed in detail, with a view of how this technology is a bridge between systems biology and systems neuroscience.
Collapse
Affiliation(s)
- Arshad M Khan
- UTEP Systems Neuroscience Laboratory, University of Texas at El Paso, El Paso, TX, USA.
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.
- Border Biomedical Research Center, University of Texas at El Paso, El Paso, TX, USA.
| | - Alice H Grant
- UTEP Systems Neuroscience Laboratory, University of Texas at El Paso, El Paso, TX, USA
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
- Graduate Program in Pathobiology, University of Texas at El Paso, El Paso, TX, USA
| | - Anais Martinez
- UTEP Systems Neuroscience Laboratory, University of Texas at El Paso, El Paso, TX, USA
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
- Graduate Program in Pathobiology, University of Texas at El Paso, El Paso, TX, USA
| | - Gully A P C Burns
- Information Sciences Institute, Viterbi School of Engineering, University of Southern California, Marina del Rey, CA, USA
| | - Brendan S Thatcher
- VA Puget Sound Health Care System, Office of Research and Development Medical Research Service, Department of Veterans Affairs Medical Center, Seattle, WA, USA
| | - Vishwanath T Anekonda
- VA Puget Sound Health Care System, Office of Research and Development Medical Research Service, Department of Veterans Affairs Medical Center, Seattle, WA, USA
| | - Benjamin W Thompson
- VA Puget Sound Health Care System, Office of Research and Development Medical Research Service, Department of Veterans Affairs Medical Center, Seattle, WA, USA
| | - Zachary S Roberts
- VA Puget Sound Health Care System, Office of Research and Development Medical Research Service, Department of Veterans Affairs Medical Center, Seattle, WA, USA
| | - Daniel H Moralejo
- Division of Neonatology, Department of Pediatrics, University of Washington School of Medicine, Seattle, WA, USA
| | - James E Blevins
- VA Puget Sound Health Care System, Office of Research and Development Medical Research Service, Department of Veterans Affairs Medical Center, Seattle, WA, USA
- Division of Metabolism, Endocrinology, and Nutrition, Department of Medicine, University of Washington School of Medicine, Seattle, WA, USA
| |
Collapse
|
12
|
Trim PJ, Snel MF. Small molecule MALDI MS imaging: Current technologies and future challenges. Methods 2016; 104:127-41. [DOI: 10.1016/j.ymeth.2016.01.011] [Citation(s) in RCA: 56] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2015] [Revised: 01/19/2016] [Accepted: 01/21/2016] [Indexed: 11/25/2022] Open
|
13
|
Kwiatkowski M, Wurlitzer M, Krutilin A, Kiani P, Nimer R, Omidi M, Mannaa A, Bussmann T, Bartkowiak K, Kruber S, Uschold S, Steffen P, Lübberstedt J, Küpker N, Petersen H, Knecht R, Hansen NO, Zarrine-Afsar A, Robertson WD, Miller RJD, Schlüter H. Homogenization of tissues via picosecond-infrared laser (PIRL) ablation: Giving a closer view on the in-vivo composition of protein species as compared to mechanical homogenization. J Proteomics 2016; 134:193-202. [PMID: 26778141 PMCID: PMC4767054 DOI: 10.1016/j.jprot.2015.12.029] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2015] [Revised: 12/22/2015] [Accepted: 12/31/2015] [Indexed: 12/30/2022]
Abstract
Posttranslational modifications and proteolytic processing regulate almost all physiological processes. Dysregulation can potentially result in pathologic protein species causing diseases. Thus, tissue species proteomes of diseased individuals provide diagnostic information. Since the composition of tissue proteomes can rapidly change during tissue homogenization by the action of enzymes released from their compartments, disease specific protein species patterns can vanish. Recently, we described a novel, ultrafast and soft method for cold vaporization of tissue via desorption by impulsive vibrational excitation (DIVE) using a picosecond-infrared-laser (PIRL). Given that DIVE extraction may provide improved access to the original composition of protein species in tissues, we compared the proteome composition of tissue protein homogenates after DIVE homogenization with conventional homogenizations. A higher number of intact protein species was observed in DIVE homogenates. Due to the ultrafast transfer of proteins from tissues via gas phase into frozen condensates of the aerosols, intact protein species were exposed to a lesser extent to enzymatic degradation reactions compared with conventional protein extraction. In addition, total yield of the number of proteins is higher in DIVE homogenates, because they are very homogenous and contain almost no insoluble particles, allowing direct analysis with subsequent analytical methods without the necessity of centrifugation. Biological significance Enzymatic protein modifications during tissue homogenization are responsible for changes of the in-vivo protein species composition. Cold vaporization of tissues by PIRL-DIVE is comparable with taking a snapshot at the time of the laser irradiation of the dynamic changes that occur continuously under in-vivo conditions. At that time point all biomolecules are transferred into an aerosol, which is immediately frozen.
Collapse
Affiliation(s)
- M Kwiatkowski
- University Medical Centre Hamburg-Eppendorf, Institute for Clinical Chemistry, Department for Mass Spectrometric Proteomics, Martinistraße 52, 20246 Hamburg, Germany
| | - M Wurlitzer
- University Medical Centre Hamburg-Eppendorf, Institute for Clinical Chemistry, Department for Mass Spectrometric Proteomics, Martinistraße 52, 20246 Hamburg, Germany
| | - A Krutilin
- University Medical Centre Hamburg-Eppendorf, Institute for Clinical Chemistry, Department for Mass Spectrometric Proteomics, Martinistraße 52, 20246 Hamburg, Germany
| | - P Kiani
- University Medical Centre Hamburg-Eppendorf, Institute for Clinical Chemistry, Department for Mass Spectrometric Proteomics, Martinistraße 52, 20246 Hamburg, Germany
| | - R Nimer
- University Medical Centre Hamburg-Eppendorf, Institute for Clinical Chemistry, Department for Mass Spectrometric Proteomics, Martinistraße 52, 20246 Hamburg, Germany
| | - M Omidi
- University Medical Centre Hamburg-Eppendorf, Institute for Clinical Chemistry, Department for Mass Spectrometric Proteomics, Martinistraße 52, 20246 Hamburg, Germany
| | - A Mannaa
- University Medical Centre Hamburg-Eppendorf, Institute for Clinical Chemistry, Department for Mass Spectrometric Proteomics, Martinistraße 52, 20246 Hamburg, Germany
| | - T Bussmann
- Beiersdorf AG, Research & Development, Unnastrasse 48, 20245, Hamburg, Germany
| | - K Bartkowiak
- University Medical Centre Hamburg-Eppendorf, Department of Tumor Biology, Martinistraße 52, 20246 Hamburg, Germany
| | - S Kruber
- Max Planck Institute for the Structure and Dynamics of Matter, Atomically Resolved Dynamics Division, Luruper Chaussee 149, 22761 Hamburg, Germany
| | - S Uschold
- Max Planck Institute for the Structure and Dynamics of Matter, Atomically Resolved Dynamics Division, Luruper Chaussee 149, 22761 Hamburg, Germany
| | - P Steffen
- University Medical Centre Hamburg-Eppendorf, Institute for Clinical Chemistry, Department for Mass Spectrometric Proteomics, Martinistraße 52, 20246 Hamburg, Germany
| | - J Lübberstedt
- University Medical Centre Hamburg-Eppendorf, Institute for Clinical Chemistry, Department for Mass Spectrometric Proteomics, Martinistraße 52, 20246 Hamburg, Germany
| | - N Küpker
- University Medical Centre Hamburg-Eppendorf, Institute for Clinical Chemistry, Department for Mass Spectrometric Proteomics, Martinistraße 52, 20246 Hamburg, Germany
| | - H Petersen
- University Medical Centre Hamburg-Eppendorf, Department of Otorhinolaryngology, Head and Neck Surgery and Oncology, Martinistraße 52, 20246 Hamburg, Germany
| | - R Knecht
- University Medical Centre Hamburg-Eppendorf, Department of Otorhinolaryngology, Head and Neck Surgery and Oncology, Martinistraße 52, 20246 Hamburg, Germany
| | - N O Hansen
- Max Planck Institute for the Structure and Dynamics of Matter, Atomically Resolved Dynamics Division, Luruper Chaussee 149, 22761 Hamburg, Germany
| | - A Zarrine-Afsar
- Techna Institute for the Advancement of Technology for Health, University Health Network, Toronto, ON M5G-1P5, Canada & Department of Medical Biophysics, University of Toronto, 101 College Street Suite 15-701, Toronto, ON M5G 1L7, Canada
| | - W D Robertson
- Max Planck Institute for the Structure and Dynamics of Matter, Atomically Resolved Dynamics Division, Luruper Chaussee 149, 22761 Hamburg, Germany
| | - R J D Miller
- Max Planck Institute for the Structure and Dynamics of Matter, Atomically Resolved Dynamics Division, Luruper Chaussee 149, 22761 Hamburg, Germany
| | - H Schlüter
- University Medical Centre Hamburg-Eppendorf, Institute for Clinical Chemistry, Department for Mass Spectrometric Proteomics, Martinistraße 52, 20246 Hamburg, Germany.
| |
Collapse
|
14
|
Buchberger A, Yu Q, Li L. Advances in Mass Spectrometric Tools for Probing Neuropeptides. ANNUAL REVIEW OF ANALYTICAL CHEMISTRY (PALO ALTO, CALIF.) 2015; 8:485-509. [PMID: 26070718 PMCID: PMC6314846 DOI: 10.1146/annurev-anchem-071114-040210] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
Neuropeptides are important mediators in the functionality of the brain and other neurological organs. Because neuropeptides exist in a wide range of concentrations, appropriate characterization methods are needed to provide dynamic, chemical, and spatial information. Mass spectrometry and compatible tools have been a popular choice in analyzing neuropeptides. There have been several advances and challenges, both of which are the focus of this review. Discussions range from sample collection to bioinformatic tools, although avenues such as quantitation and imaging are included. Further development of the presented methods for neuropeptidomic mass spectrometric analysis is inevitable, which will lead to a further understanding of the complex interplay of neuropeptides and other signaling molecules in the nervous system.
Collapse
Affiliation(s)
- Amanda Buchberger
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706-1322;
| | - Qing Yu
- School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin 53705-2222;
| | - Lingjun Li
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706-1322;
- School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin 53705-2222;
| |
Collapse
|
15
|
Stemmler EA, Barton EE, Esonu OK, Polasky DA, Onderko LL, Bergeron AB, Christie AE, Dickinson PS. C-terminal methylation of truncated neuropeptides: an enzyme-assisted extraction artifact involving methanol. Peptides 2013; 46:108-25. [PMID: 23714174 DOI: 10.1016/j.peptides.2013.05.008] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2013] [Revised: 05/17/2013] [Accepted: 05/18/2013] [Indexed: 10/26/2022]
Abstract
Neuropeptides are the largest class of signaling molecules used by nervous systems. Today, neuropeptide discovery commonly involves chemical extraction from a tissue source followed by mass spectrometric characterization. Ideally, the extraction procedure accurately preserves the sequence and any inherent modifications of the native peptides. Here, we present data showing that this is not always true. Specifically, we present evidence showing that, in the lobster Homarus americanus, the orcokinin family members, NFDEIDRSGFG-OMe and SSEDMDRLGFG-OMe, are non-native peptides generated from full-length orcokinin precursors as the result of a highly selective peptide modification (peptide truncation with C-terminal methylation) that occurs during extraction. These peptides were observed by MALDI-FTMS and LC-Q-TOFMS analyses when eyestalk ganglia were extracted in a methanolic solvent, but not when tissues were dissected, co-crystallized with matrix, and analyzed directly with methanol excluded from the sample preparation. The identity of NFDEIDRSGFG-OMe was established using MALDI-FTMS/SORI-CID, LC-Q-TOFMS/MS, and comparison with a peptide standard. Extraction substituting deuterated methanol for methanol confirmed that the latter is the source of the C-terminal methyl group, and MS/MS confirmed the C-terminal localization of the added CD3. Surprisingly, NFDEIDRSGFG-OMe is not produced via a chemical acid-catalyzed esterification. Instead, the methylated peptide appears to result from proteolytic truncation in the presence of methanol, as evidenced by a reduction in conversion with the addition of a protease-inhibitor cocktail; heat effectively eliminated the conversion. This unusual and highly specific extraction-derived peptide conversion exemplifies the need to consider both chemical and biochemical processes that may modify the structure of endogenous neuropeptides.
Collapse
Affiliation(s)
- Elizabeth A Stemmler
- Department of Chemistry, Bowdoin College, 6600 College Station, Brunswick, ME 04011, USA.
| | | | | | | | | | | | | | | |
Collapse
|
16
|
Lietz CB, Gemperline E, Li L. Qualitative and quantitative mass spectrometry imaging of drugs and metabolites. Adv Drug Deliv Rev 2013; 65:1074-85. [PMID: 23603211 DOI: 10.1016/j.addr.2013.04.009] [Citation(s) in RCA: 76] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2012] [Revised: 03/27/2013] [Accepted: 04/09/2013] [Indexed: 12/26/2022]
Abstract
Mass spectrometric imaging (MSI) has rapidly increased its presence in the pharmaceutical sciences. While quantitative whole-body autoradiography and microautoradiography are the traditional techniques for molecular imaging of drug delivery and metabolism, MSI provides advantageous specificity that can distinguish the parent drug from metabolites and modified endogenous molecules. This review begins with the fundamentals of MSI sample preparation/ionization, and then moves on to both qualitative and quantitative applications with special emphasis on drug discovery and delivery. Cutting-edge investigations on sub-cellular imaging and endogenous signaling peptides are also highlighted, followed by perspectives on emerging technology and the path for MSI to become a routine analysis technique.
Collapse
|
17
|
Sturm RM, Greer T, Woodards N, Gemperline E, Li L. Mass spectrometric evaluation of neuropeptidomic profiles upon heat stabilization treatment of neuroendocrine tissues in crustaceans. J Proteome Res 2013; 12:743-52. [PMID: 23227893 DOI: 10.1021/pr300805f] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Tissue heat stabilization is a vital component in successful mammalian neuropeptidomic studies. Heat stabilization using focused microwave irradiation, conventional microwave irradiation, boiling, and treatment with the Denator Stabilizor T1 have all proven effective in arresting post-mortem protein degradation. Although research has reported the presence of protein fragments in crustacean hemolymph when protease inhibitors were not added to the sample, the degree to which post-mortem protease activity affects neuropeptidomic tissue studies in crustacean species has not been investigated in depth. This work examines the need for Stabilizor T1 or boiling tissue stabilization methods for neuropeptide studies of Callinectes sapidus (blue crab) pericardial organ tissue. Neuropeptides in stabilized and nonstabilized tissue were extracted using acidified methanol or N,N-dimethylformamide (DMF) and analyzed by MALDI-TOF and nanoLC-ESI-MS/MS platforms. Post-mortem fragments did not dramatically affect MALDI analysis in the range m/z 650-1600, but observations in ESI MS/MS experiments suggest that putative post-mortem fragments can mask neuropeptide signal and add spectral complexity to crustacean neuropeptidomic studies. The impact of the added spectral complexity did not dramatically affect the number of detected neuropeptides between stabilized and nonstabilized tissues. However, it is prudent that neuropeptidomic studies of crustacean species include a preliminary experiment using the heat stabilization method to assess the extent of neuropeptide masking by larger, highly charged molecular species.
Collapse
Affiliation(s)
- Robert M Sturm
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | | | | | | | | |
Collapse
|
18
|
Jia C, Hui L, Cao W, Lietz CB, Jiang X, Chen R, Catherman AD, Thomas PM, Ge Y, Kelleher NL, Li L. High-definition de novo sequencing of crustacean hyperglycemic hormone (CHH)-family neuropeptides. Mol Cell Proteomics 2012; 11:1951-64. [PMID: 23028060 DOI: 10.1074/mcp.m112.020537] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
A complete understanding of the biological functions of large signaling peptides (>4 kDa) requires comprehensive characterization of their amino acid sequences and post-translational modifications, which presents significant analytical challenges. In the past decade, there has been great success with mass spectrometry-based de novo sequencing of small neuropeptides. However, these approaches are less applicable to larger neuropeptides because of the inefficient fragmentation of peptides larger than 4 kDa and their lower endogenous abundance. The conventional proteomics approach focuses on large-scale determination of protein identities via database searching, lacking the ability for in-depth elucidation of individual amino acid residues. Here, we present a multifaceted MS approach for identification and characterization of large crustacean hyperglycemic hormone (CHH)-family neuropeptides, a class of peptide hormones that play central roles in the regulation of many important physiological processes of crustaceans. Six crustacean CHH-family neuropeptides (8-9.5 kDa), including two novel peptides with extensive disulfide linkages and PTMs, were fully sequenced without reference to genomic databases. High-definition de novo sequencing was achieved by a combination of bottom-up, off-line top-down, and on-line top-down tandem MS methods. Statistical evaluation indicated that these methods provided complementary information for sequence interpretation and increased the local identification confidence of each amino acid. Further investigations by MALDI imaging MS mapped the spatial distribution and colocalization patterns of various CHH-family neuropeptides in the neuroendocrine organs, revealing that two CHH-subfamilies are involved in distinct signaling pathways.
Collapse
Affiliation(s)
- Chenxi Jia
- School of Pharmacy and Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53705, USA
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|
19
|
Mass Spectrometry-based Proteomics and Peptidomics for Systems Biology and Biomarker Discovery. ACTA ACUST UNITED AC 2012; 7:313-335. [PMID: 24504115 DOI: 10.1007/s11515-012-1218-y] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
The scientific community has shown great interest in the field of mass spectrometry-based proteomics and peptidomics for its applications in biology. Proteomics technologies have evolved to produce large datasets of proteins or peptides involved in various biological and disease progression processes producing testable hypothesis for complex biological questions. This review provides an introduction and insight to relevant topics in proteomics and peptidomics including biological material selection, sample preparation, separation techniques, peptide fragmentation, post-translation modifications, quantification, bioinformatics, and biomarker discovery and validation. In addition, current literature and remaining challenges and emerging technologies for proteomics and peptidomics are presented.
Collapse
|
20
|
Fortes MRS, Snelling WM, Reverter A, Nagaraj SH, Lehnert SA, Hawken RJ, DeAtley KL, Peters SO, Silver GA, Rincon G, Medrano JF, Islas-Trejo A, Thomas MG. Gene network analyses of first service conception in Brangus heifers: use of genome and trait associations, hypothalamic-transcriptome information, and transcription factors. J Anim Sci 2012; 90:2894-906. [PMID: 22739780 DOI: 10.2527/jas.2011-4601] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Measures of heifer fertility are economically relevant traits for beef production systems and knowledge of candidate genes could be incorporated into future genomic selection strategies. Ten traits related to growth and fertility were measured in 890 Brangus heifers (3/8 Brahman × 5/8 Angus, from 67 sires). These traits were: BW and hip height adjusted to 205 and 365 d of age, postweaning ADG, yearling assessment of carcass traits (i.e., back fat thickness, intramuscular fat, and LM area), as well as heifer pregnancy and first service conception (FSC). These fertility traits were collected from controlled breeding seasons initiated with estrous synchronization and AI targeting heifers to calve by 24 mo of age. The BovineSNP50 BeadChip was used to ascertain 53,692 SNP genotypes for ∼802 heifers. Associations of genotypes and phenotypes were performed and SNP effects were estimated for each trait. Minimally associated SNP (P < 0.05) and their effects across the 10 traits formed the basis for an association weight matrix and its derived gene network related to FSC (57.3% success and heritability = 0.06 ± 0.05). These analyses yielded 1,555 important SNP, which inferred genes linked by 113,873 correlations within a network. Specifically, 1,386 SNP were nodes and the 5,132 strongest correlations (|r| ≥ 0.90) were edges. The network was filtered with genes queried from a transcriptome resource created from deep sequencing of RNA (i.e., RNA-Seq) from the hypothalamus of a prepubertal and a postpubertal Brangus heifer. The remaining hypothalamic-influenced network contained 978 genes connected by 2,560 edges or predicted gene interactions. This hypothalamic gene network was enriched with genes involved in axon guidance, which is a pathway known to influence pulsatile release of LHRH. There were 5 transcription factors with 21 or more connections: ZMAT3, STAT6, RFX4, PLAGL1, and NR6A1 for FSC. The SNP that identified these genes were intragenic and were on chromosomes 1, 5, 9, and 11. Chromosome 5 harbored both STAT6 and RFX4. The large number of interactions and genes observed with network analyses of multiple sources of genomic data (i.e., GWAS and RNA-Seq) support the concept of FSC being a polygenic trait.
Collapse
Affiliation(s)
- M R S Fortes
- School of Veterinary Science, The University of Queensland, Gatton Campus, QLD 4343, Australia
| | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
21
|
Kokkat TJ, McGarvey D, Lovecchio LC, LiVolsi VA. Effect of thaw temperatures in reducing enzyme activity in human thyroid tissues. Biopreserv Biobank 2011; 9:349-54. [PMID: 24836631 DOI: 10.1089/bio.2011.0026] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
An identified impediment to the advancement of science in the field of proteomics is the deterioration of proteins in tissue upon removal of the tissue from its natural state. To reduce this degradation, human tissues are frozen and stored in either liquid nitrogen or -80°C environments. It is believed that frozen tissue in ultralow temperatures preserves proteins against enzyme degradation. Various molecular, biophysical, and biochemical analytical studies require that frozen tissues be thawed before being used for analyses. Depending on downstream analyses, tissues are thawed at different temperatures (37°C, room temperature or 4°C). However, there is very little literature that describes the effects of different thaw temperatures on enzymatic inactivation in tissue lysates. We investigated the effects of preprocessing variable thaw temperature on postprocessed lysates using tyrosine phosphatase and phosphatase and tensin homolog activity assays. In our study we examined the thawing of frozen human thyroid tissues at the traditional temperatures of 4°C (on ice), 37°C (in an oven), and the novel temperature of 95°C (using Stabilizor T1™). The tissue lysates were processed without the addition of enzymatic inhibitors. Our results showed that in benign, malignant, and diseased tissues, high temperature thawing is effective in reducing enzymatic activity. In normal tissue, the reduction is dependent on individual enzymes. This suggests that if tissue lysates are to be obtained from frozen tissues without the addition of inhibitors, high temperature thawing might have marked improvement in downstream non-enzymatic analyses of diseased and neoplastic tissues.
Collapse
Affiliation(s)
- Theresa J Kokkat
- 1 Cooperative Human Tissue Network-Eastern Division, Department of Pathology and Lab Medicine, University of Pennsylvania , Philadelphia, Pennsylvania
| | | | | | | |
Collapse
|
22
|
Kultima K, Sköld K, Borén M. Biomarkers of disease and post-mortem changes - Heat stabilization, a necessary tool for measurement of protein regulation. J Proteomics 2011; 75:145-59. [PMID: 21708298 DOI: 10.1016/j.jprot.2011.06.009] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2011] [Revised: 05/25/2011] [Accepted: 06/07/2011] [Indexed: 12/25/2022]
Abstract
This review focuses on post sampling changes and how the Stabilizor system has been used to control this natural biological process and potential implications on cancer-specific biomarkers due to post sampling changes. Tissue sampling is a major traumatic event that can have drastic effects within a very short timeframe at the molecular level [1] resulting in loss of sample quality due to post-mortem changes. A heat-stabilization technology, using the Stabilizor system, has been developed to quickly and permanently abolish the enzymatic activity that causes these changes post-sampling and so preserve sample quality. The Stabilizor system has been shown to give better sample quality when analyzing a variety of tissues in various proteomic workflows. In this paper we discuss the impact of using heat-stabilized tissue in different proteomic applications. Based on our observations regarding the overlap between commonly changing proteins and proteins found to change post-mortem we also highlight a group of proteins of particular interest in cancer studies.
Collapse
Affiliation(s)
- Kim Kultima
- Analytical Chemistry, Department of Physical and Analytical Chemistry, Uppsala University, 75124, Uppsala, Sweden
| | | | | |
Collapse
|