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Zhao Z, Wang J, Kong W, Newton MA, Burkett WC, Sun W, Buckingham L, O’Donnell J, Suo H, Deng B, Shen X, Zhang X, Hao T, Zhou C, Bae-Jump VL. Palmitic Acid Exerts Anti-Tumorigenic Activities by Modulating Cellular Stress and Lipid Droplet Formation in Endometrial Cancer. Biomolecules 2024; 14:601. [PMID: 38786008 PMCID: PMC11117634 DOI: 10.3390/biom14050601] [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: 02/26/2024] [Revised: 04/24/2024] [Accepted: 05/15/2024] [Indexed: 05/25/2024] Open
Abstract
Epidemiological and clinical evidence have extensively documented the role of obesity in the development of endometrial cancer. However, the effect of fatty acids on cell growth in endometrial cancer has not been widely studied. Here, we reported that palmitic acid significantly inhibited cell proliferation of endometrial cancer cells and primary cultures of endometrial cancer and reduced tumor growth in a transgenic mouse model of endometrial cancer, in parallel with increased cellular stress and apoptosis and decreased cellular adhesion and invasion. Inhibition of cellular stress by N-acetyl-L-cysteine effectively reversed the effects of palmitic acid on cell proliferation, apoptosis, and invasive capacity in endometrial cancer cells. Palmitic acid increased the intracellular formation of lipid droplets in a time- and dose-dependent manner. Depletion of lipid droplets by blocking DGAT1 and DGAT2 effectively increased the ability of palmitic acid to inhibit cell proliferation and induce cleaved caspase 3 activity. Collectively, this study provides new insight into the effect of palmitic acid on cell proliferation and invasion and the formation of lipid droplets that may have potential clinical relevance in the treatment of obesity-driven endometrial cancer.
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Affiliation(s)
- Ziyi Zhao
- Department of Gynecologic Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing 100026, China; (Z.Z.); (J.W.); (W.K.); (H.S.); (B.D.); (X.Z.)
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; (M.A.N.); (W.C.B.); (W.S.); (L.B.); (T.H.)
| | - Jiandong Wang
- Department of Gynecologic Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing 100026, China; (Z.Z.); (J.W.); (W.K.); (H.S.); (B.D.); (X.Z.)
| | - Weimin Kong
- Department of Gynecologic Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing 100026, China; (Z.Z.); (J.W.); (W.K.); (H.S.); (B.D.); (X.Z.)
| | - Meredith A. Newton
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; (M.A.N.); (W.C.B.); (W.S.); (L.B.); (T.H.)
| | - Wesley C. Burkett
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; (M.A.N.); (W.C.B.); (W.S.); (L.B.); (T.H.)
| | - Wenchuan Sun
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; (M.A.N.); (W.C.B.); (W.S.); (L.B.); (T.H.)
| | - Lindsey Buckingham
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; (M.A.N.); (W.C.B.); (W.S.); (L.B.); (T.H.)
| | - Jillian O’Donnell
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; (M.A.N.); (W.C.B.); (W.S.); (L.B.); (T.H.)
| | - Hongyan Suo
- Department of Gynecologic Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing 100026, China; (Z.Z.); (J.W.); (W.K.); (H.S.); (B.D.); (X.Z.)
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; (M.A.N.); (W.C.B.); (W.S.); (L.B.); (T.H.)
| | - Boer Deng
- Department of Gynecologic Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing 100026, China; (Z.Z.); (J.W.); (W.K.); (H.S.); (B.D.); (X.Z.)
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; (M.A.N.); (W.C.B.); (W.S.); (L.B.); (T.H.)
| | - Xiaochang Shen
- Department of Gynecologic Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing 100026, China; (Z.Z.); (J.W.); (W.K.); (H.S.); (B.D.); (X.Z.)
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; (M.A.N.); (W.C.B.); (W.S.); (L.B.); (T.H.)
| | - Xin Zhang
- Department of Gynecologic Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing 100026, China; (Z.Z.); (J.W.); (W.K.); (H.S.); (B.D.); (X.Z.)
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; (M.A.N.); (W.C.B.); (W.S.); (L.B.); (T.H.)
| | - Tianran Hao
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; (M.A.N.); (W.C.B.); (W.S.); (L.B.); (T.H.)
| | - Chunxiao Zhou
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; (M.A.N.); (W.C.B.); (W.S.); (L.B.); (T.H.)
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Victoria L. Bae-Jump
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; (M.A.N.); (W.C.B.); (W.S.); (L.B.); (T.H.)
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
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Abstract
Lipids are essential cellular components forming membranes, serving as energy reserves, and acting as chemical messengers. Dysfunction in lipid metabolism and signaling is associated with a wide range of diseases including cancer and autoimmunity. Heterogeneity in cell behavior including lipid signaling is increasingly recognized as a driver of disease and drug resistance. This diversity in cellular responses as well as the roles of lipids in health and disease drive the need to quantify lipids within single cells. Single-cell lipid assays are challenging due to the small size of cells (∼1 pL) and the large numbers of lipid species present at concentrations spanning orders of magnitude. A growing number of methodologies enable assay of large numbers of lipid analytes, perform high-resolution spatial measurements, or permit highly sensitive lipid assays in single cells. Covered in this review are mass spectrometry, Raman imaging, and fluorescence-based assays including microscopy and microseparations.
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Affiliation(s)
- Ming Yao
- Department of Bioengineering, University of Washington, Seattle, Washington, USA; , ,
| | | | - Nancy L Allbritton
- Department of Bioengineering, University of Washington, Seattle, Washington, USA; , ,
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3
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Hu R, Li Y, Yang Y, Liu M. Mass spectrometry-based strategies for single-cell metabolomics. MASS SPECTROMETRY REVIEWS 2023; 42:67-94. [PMID: 34028064 DOI: 10.1002/mas.21704] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 05/05/2021] [Accepted: 05/11/2021] [Indexed: 06/12/2023]
Abstract
Single cell analysis has drawn increasing interest from the research community due to its capability to interrogate cellular heterogeneity, allowing refined tissue classification and facilitating novel biomarker discovery. With the advancement of relevant instruments and techniques, it is now possible to perform multiple omics including genomics, transcriptomics, metabolomics or even proteomics at single cell level. In comparison with other omics studies, single-cell metabolomics (SCM) represents a significant challenge since it involves many types of dynamically changing compounds with a wide range of concentrations. In addition, metabolites cannot be amplified. Although difficult, considerable progress has been made over the past decade in mass spectrometry (MS)-based SCM in terms of processing technologies and biochemical applications. In this review, we will summarize recent progress in the development of promising MS platforms, sample preparation methods and SCM analysis of various cell types (including plant cell, cancer cell, neuron, embryo cell, and yeast cell). Current limitations and future research directions in the field of SCM will also be discussed.
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Affiliation(s)
- Rui Hu
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Ying Li
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yunhuang Yang
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Maili Liu
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
- University of Chinese Academy of Sciences, Beijing, China
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4
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Zhang C, Horikawa M, Kahyo T, Matsudaira T, Tanaka T, Xu L, Takei S, Setou M. Glutaraldehyde and uranyl acetate dual fixation combined sputtering/unroofing enables intracellular fatty acids TOF-SIMS imaging with organelle-corresponding subcellular distribution. Microscopy (Oxf) 2022; 71:324-333. [PMID: 35762441 DOI: 10.1093/jmicro/dfac034] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 06/21/2022] [Accepted: 06/27/2022] [Indexed: 01/18/2023] Open
Abstract
Fatty acids (FAs) have diverse functions in cellular activities. The intracellular distribution of FAs is critical for their functions. Imaging of FAs by time-of-flight secondary ion mass spectrometry (TOF-SIMS) has been achieved. However, TOF-SIMS images of FAs so far do not have subcellular distribution due to inadequate sample preparation methods. In this study, we developed a chemical fixation method using glutaraldehyde (GA) with uranyl acetate (UA), which preserved cellular structure and intracellular FA distribution well. Combining GA+UA fixation with sputtering-based methods and unroofing-based methods, respectively, we successfully imaged intracellular lipids with the subcellular distribution.
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Affiliation(s)
- Chi Zhang
- Department of Cellular and Molecular Anatomy, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu, Shizuoka 431-3192, Japan
| | - Makoto Horikawa
- Department of Cellular and Molecular Anatomy, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu, Shizuoka 431-3192, Japan.,International Mass Imaging Center, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu, Shizuoka 431-3192, Japan.,Hiroshima Research Center for Healthy Aging, Department of Molecular Biotechnology, Graduate School of Advanced Sciences of Matter, Hiroshima University, 1-3-1 Kagamiyama, Higashi-Hiroshima, Hiroshima 739-8530, Japan
| | - Tomoaki Kahyo
- Department of Cellular and Molecular Anatomy, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu, Shizuoka 431-3192, Japan.,International Mass Imaging Center, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu, Shizuoka 431-3192, Japan
| | - Takaomi Matsudaira
- Analysis and Evaluation Division, Foundation for Promotion of Material Science and Technology of Japan, 1-18-6 Kitami, Setagaya-ku, Tokyo 157-0067, Japan
| | - Tatsuya Tanaka
- Analysis and Evaluation Division, Foundation for Promotion of Material Science and Technology of Japan, 1-18-6 Kitami, Setagaya-ku, Tokyo 157-0067, Japan
| | - Lili Xu
- Department of Cellular and Molecular Anatomy, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu, Shizuoka 431-3192, Japan
| | - Shiro Takei
- Laboratory of Fish Biology, Department of Environmental Biology, College of Bioscience and Biotechnology, Chubu University, 1200, Matsumoto-cho, Kasugai-shi, Aichi 487-8501, Japan
| | - Mitsutoshi Setou
- Department of Cellular and Molecular Anatomy, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu, Shizuoka 431-3192, Japan.,International Mass Imaging Center, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu, Shizuoka 431-3192, Japan.,Department of Systems Molecular Anatomy, Institute for Medical Photonics Research, Preeminent Medical Photonics Education & Research Center, 1-20-1 Handayama, Higashi-ku, Hamamatsu, Shizuoka 431-3192, Japan
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5
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Zhao Y, Lou J, Zhang H, Sun H, Zhang M, Wang S, Sha X, Zhan Z, Wang Y, Ma C, Li WJ. Measurement methods of single cell drug response. Talanta 2021; 239:123035. [PMID: 34839926 DOI: 10.1016/j.talanta.2021.123035] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 10/26/2021] [Accepted: 11/02/2021] [Indexed: 11/25/2022]
Abstract
In the last decades, a wide multitude of research activity has been focused on the development of new drugs, and devoted to overcome the challenges of high cost and low efficiency in drug evaluation. The measurement of drug response at the single cell level is a quicker, more direct and more accurate way to reflect drug efficacy, which can shorten the drug development period and reduce research costs. Therefore, the single cell drug response (SCDR) measurement technology has aroused extensive attention from researchers, and has become a hot topic in the fields of drug research and cell biology. Recent years have seen the emergence of various SCDR measurement technologies that feature different working principles and different levels of measurement performance. To better examine, compare and summarize the characteristics and functions of these technologies, we select signal-to-noise ratio, throughput, content, invasion, and device complexity as the criteria to evaluate them from the drug efficacy perspective. This review aims to highlight sixteen kinds of SCDR measurement technologies, including patch-clamp technique, live-cell interferometry, capillary electrophoresis, secondary ion mass spectrometry, and more, and report widespread representative examples of SCDR measurement the recent approaches for over the past forty years. Based on their reaction principles, these technologies are classified into four categories: electrical, optical, electrochemical, and mass spectrometry, and a detailed comparison is made between them. After in-depth understanding of these technologies, it is expected to improve or integrate these technologies to propose better SCDR measurement strategies, and explore methods in new drug development and screening, as well as disease diagnosis and treatment.
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Affiliation(s)
- Yuliang Zhao
- School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, 066004, China
| | - Jiazhi Lou
- School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, 066004, China
| | - Hongyu Zhang
- School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, 066004, China
| | - Hui Sun
- Department of Mechanical Engineering, City University of Hong Kong, Kowloon, Hong Kong, 999077, China
| | - Menglin Zhang
- School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, 066004, China
| | - Shuyu Wang
- School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, 066004, China
| | - Xiaopeng Sha
- School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, 066004, China
| | - Zhikun Zhan
- School of Electrical Engineering, Yanshan University at Qinhuangdao, Qinhuangdao, 066004, China.
| | - Ying Wang
- Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing, 100191, China
| | - Cuihua Ma
- Department of Clinical Laboratory, First Hospital of Qinhuangdao, Qinhuangdao, 066004, China.
| | - Wen Jung Li
- Department of Mechanical Engineering, City University of Hong Kong, Kowloon, Hong Kong, 999077, China.
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6
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Nabi MM, Mamun MA, Islam A, Hasan MM, Waliullah ASM, Tamannaa Z, Sato T, Kahyo T, Setou M. Mass spectrometry in the lipid study of cancer. Expert Rev Proteomics 2021; 18:201-219. [PMID: 33793353 DOI: 10.1080/14789450.2021.1912602] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Introduction: Cancer is a heterogeneous disease that exploits various metabolic pathways to meet the demand for increased energy and structural components. Lipids are biomolecules that play essential roles as high energy sources, mediators, and structural components of biological membranes. Accumulating evidence has established that altered lipid metabolism is a hallmark of cancer.Areas covered: Mass spectrometry (MS) is a label-free analytical tool that can simultaneously identify and quantify hundreds of analytes. To date, comprehensive lipid studies exclusively rely on this technique. Here, we reviewed the use of MS in the study of lipids in various cancers and discuss its instrumental limitations and challenges.Expert opinion: MS and MS imaging have significantly contributed to revealing altered lipid metabolism in a variety of cancers. Currently, a single MS approach cannot profile the entire lipidome because of its lack of sensitivity and specificity for all lipid classes. For the metabolic pathway investigation, lipid study requires the integration of MS with other molecular approaches. Future developments regarding the high spatial resolution, mass resolution, and sensitivity of MS instruments are warranted.
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Affiliation(s)
- Md Mahamodun Nabi
- Department of Cellular & Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan.,Institute of Food and Radiation Biology, Atomic Energy Research Establishment, Ganakbari, Savar, Dhaka, Bangladesh
| | - Md Al Mamun
- Department of Cellular & Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan
| | - Ariful Islam
- Department of Cellular & Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan
| | - Md Mahmudul Hasan
- Department of Cellular & Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan
| | - A S M Waliullah
- Department of Cellular & Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan
| | - Zinat Tamannaa
- Department of Cellular & Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan
| | - Tomohito Sato
- Department of Cellular & Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan
| | - Tomoaki Kahyo
- Department of Cellular & Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan.,International Mass Imaging Center, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan
| | - Mitsutoshi Setou
- Department of Cellular & Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan.,International Mass Imaging Center, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan.,Department of Systems Molecular Anatomy, Institute for Medical Photonics Research, Preeminent Medical Photonics Education & Research Center, Hamamatsu, Shizuoka, Japan
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7
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Palacios-Ferrer JL, García-Ortega MB, Gallardo-Gómez M, García MÁ, Díaz C, Boulaiz H, Valdivia J, Jurado JM, Almazan-Fernandez FM, Arias-Santiago S, Amezcua V, Peinado H, Vicente F, Pérez Del Palacio J, Marchal JA. Metabolomic profile of cancer stem cell-derived exosomes from patients with malignant melanoma. Mol Oncol 2020; 15:407-428. [PMID: 33052601 PMCID: PMC7858120 DOI: 10.1002/1878-0261.12823] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 09/23/2020] [Accepted: 10/09/2020] [Indexed: 12/15/2022] Open
Abstract
Malignant melanoma (MM) is the most aggressive and life‐threatening form of skin cancer. It is characterized by an extraordinary metastasis capacity and chemotherapy resistance, mainly due to melanoma cancer stem cells (CSCs). To date, there are no suitable clinical diagnostic, prognostic or predictive biomarkers for this neoplasia. Therefore, there is an urgent need for new MM biomarkers that enable early diagnosis and effective disease monitoring. Exosomes represent a novel source of biomarkers since they can be easily isolated from different body fluids. In this work, a primary patient‐derived MM cell line enriched in CSCs was characterized by assessing the expression of specific markers and their stem‐like properties. Exosomes derived from CSCs and serums from patients with MM were characterized, and their metabolomic profile was analysed by high‐resolution mass spectrometry (HRMS) following an untargeted approach and applying univariate and multivariate statistical analyses. The aim of this study was to search potential biomarkers for the diagnosis of this disease. Our results showed significant metabolomic differences in exosomes derived from MM CSCs compared with those from differentiated tumour cells and also in serum‐derived exosomes from patients with MM compared to those from healthy controls. Interestingly, we identified similarities between structural lipids differentially expressed in CSC‐derived exosomes and those derived from patients with MM such as the glycerophosphocholine PC 16:0/0:0. To our knowledge, this is the first metabolomic‐based study aimed at characterizing exosomes derived from melanoma CSCs and patients' serum in order to identify potential biomarkers for MM diagnosis. We conclude that metabolomic characterization of CSC‐derived exosomes sets an open door to the discovery of clinically useful biomarkers in this neoplasia.
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Affiliation(s)
- José Luis Palacios-Ferrer
- Biopathology and Regenerative Medicine Institute (IBIMER), Centre for Biomedical Research (CIBM), University of Granada, Spain.,Department of Human Anatomy and Embryology, Faculty of Medicine, University of Granada, Spain.,Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Spain.,Excellence Research Unit 'Modeling Nature' (MNat), University of Granada, Spain
| | - María Belén García-Ortega
- Biopathology and Regenerative Medicine Institute (IBIMER), Centre for Biomedical Research (CIBM), University of Granada, Spain.,Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Spain.,Excellence Research Unit 'Modeling Nature' (MNat), University of Granada, Spain.,Department of Oncology, Virgen de las Nieves University Hospital, Granada, Spain
| | - María Gallardo-Gómez
- Department of Biochemistry, Genetics and Immunology, Singular Research Centre of Galicia (CINBIO), University of Vigo, Spain
| | - María Ángel García
- Biopathology and Regenerative Medicine Institute (IBIMER), Centre for Biomedical Research (CIBM), University of Granada, Spain.,Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Spain.,Excellence Research Unit 'Modeling Nature' (MNat), University of Granada, Spain.,Department of Biochemistry 3 and Immunology, Faculty of Medicine, University of Granada, Spain
| | - Caridad Díaz
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Parque Tecnológico Ciencias de la Salud, Granada, Spain
| | - Houria Boulaiz
- Biopathology and Regenerative Medicine Institute (IBIMER), Centre for Biomedical Research (CIBM), University of Granada, Spain.,Department of Human Anatomy and Embryology, Faculty of Medicine, University of Granada, Spain.,Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Spain.,Excellence Research Unit 'Modeling Nature' (MNat), University of Granada, Spain
| | - Javier Valdivia
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Spain.,Department of Oncology, Virgen de las Nieves University Hospital, Granada, Spain
| | - José Miguel Jurado
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Spain.,Department of Oncology, San Cecilio University Hospital, Granada, Spain
| | - Francisco M Almazan-Fernandez
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Spain.,Department of Dermatology, San Cecilio University Hospital, Granada, Spain
| | - Salvador Arias-Santiago
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Spain.,Department of Dermatology, Virgen de las Nieves University Hospital, Granada, Spain.,Department of Medicine, Faculty of Medicine, University of Granada, Spain
| | - Víctor Amezcua
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Spain.,Department of Oncology, Virgen de las Nieves University Hospital, Granada, Spain
| | - Héctor Peinado
- Microenvironment and Metastasis Laboratory, Molecular Oncology Program, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | - Francisca Vicente
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Parque Tecnológico Ciencias de la Salud, Granada, Spain
| | - José Pérez Del Palacio
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Parque Tecnológico Ciencias de la Salud, Granada, Spain
| | - Juan A Marchal
- Biopathology and Regenerative Medicine Institute (IBIMER), Centre for Biomedical Research (CIBM), University of Granada, Spain.,Department of Human Anatomy and Embryology, Faculty of Medicine, University of Granada, Spain.,Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Spain.,Excellence Research Unit 'Modeling Nature' (MNat), University of Granada, Spain
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8
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Abshiru NA, Sikora JW, Camarillo JM, Morris JA, Compton PD, Lee T, Neelamraju Y, Haddox S, Sheridan C, Carroll M, Cripe LD, Tallman MS, Paietta EM, Melnick AM, Thomas PM, Garrett-Bakelman FE, Kelleher NL. Targeted detection and quantitation of histone modifications from 1,000 cells. PLoS One 2020; 15:e0240829. [PMID: 33104722 PMCID: PMC7588077 DOI: 10.1371/journal.pone.0240829] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Accepted: 10/02/2020] [Indexed: 01/30/2023] Open
Abstract
Histone post-translational modifications (PTMs) create a powerful regulatory mechanism for maintaining chromosomal integrity in cells. Histone acetylation and methylation, the most widely studied histone PTMs, act in concert with chromatin-associated proteins to control access to genetic information during transcription. Alterations in cellular histone PTMs have been linked to disease states and have crucial biomarker and therapeutic potential. Traditional bottom-up mass spectrometry of histones requires large numbers of cells, typically one million or more. However, for some cell subtype-specific studies, it is difficult or impossible to obtain such large numbers of cells and quantification of rare histone PTMs is often unachievable. An established targeted LC-MS/MS method was used to quantify the abundance of histone PTMs from cell lines and primary human specimens. Sample preparation was modified by omitting nuclear isolation and reducing the rounds of histone derivatization to improve detection of histone peptides down to 1,000 cells. In the current study, we developed and validated a quantitative LC-MS/MS approach tailored for a targeted histone assay of 75 histone peptides with as few as 10,000 cells. Furthermore, we were able to detect and quantify 61 histone peptides from just 1,000 primary human stem cells. Detection of 37 histone peptides was possible from 1,000 acute myeloid leukemia patient cells. We anticipate that this revised method can be used in many applications where achieving large cell numbers is challenging, including rare human cell populations.
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Affiliation(s)
- Nebiyu A. Abshiru
- Departments of Chemistry, Molecular Biosciences, and the Proteomics Center of Excellence, Northwestern University, Evanston, IL, United States of America
| | - Jacek W. Sikora
- Departments of Chemistry, Molecular Biosciences, and the Proteomics Center of Excellence, Northwestern University, Evanston, IL, United States of America
| | - Jeannie M. Camarillo
- Departments of Chemistry, Molecular Biosciences, and the Proteomics Center of Excellence, Northwestern University, Evanston, IL, United States of America
| | - Juliette A. Morris
- Departments of Chemistry, Molecular Biosciences, and the Proteomics Center of Excellence, Northwestern University, Evanston, IL, United States of America
| | - Philip D. Compton
- Departments of Chemistry, Molecular Biosciences, and the Proteomics Center of Excellence, Northwestern University, Evanston, IL, United States of America
| | - Tak Lee
- Division of Hematology/Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, United States of America
| | - Yaseswini Neelamraju
- Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA, United States of America
| | - Samuel Haddox
- Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA, United States of America
| | - Caroline Sheridan
- Division of Hematology/Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, United States of America
| | - Martin Carroll
- Division of Hematology and Oncology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States of America
| | - Larry D. Cripe
- Indiana University/Melvin and Bren Simon Cancer Center, Indianapolis, IN, United States of America
| | - Martin S. Tallman
- Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | | | - Ari M. Melnick
- Division of Hematology/Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, United States of America
| | - Paul M. Thomas
- Departments of Chemistry, Molecular Biosciences, and the Proteomics Center of Excellence, Northwestern University, Evanston, IL, United States of America
| | - Francine E. Garrett-Bakelman
- Division of Hematology/Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, United States of America
- Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA, United States of America
- Division of Hematology/Medical Oncology, Department of Medicine, University of Virginia, Charlottesville, VA, United States of America
- * E-mail: (FEGB); (NLK)
| | - Neil L. Kelleher
- Departments of Chemistry, Molecular Biosciences, and the Proteomics Center of Excellence, Northwestern University, Evanston, IL, United States of America
- * E-mail: (FEGB); (NLK)
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9
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Holzlechner M, Eugenin E, Prideaux B. Mass spectrometry imaging to detect lipid biomarkers and disease signatures in cancer. Cancer Rep (Hoboken) 2019; 2:e1229. [PMID: 32729258 PMCID: PMC7941519 DOI: 10.1002/cnr2.1229] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Revised: 11/04/2019] [Accepted: 11/07/2019] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Current methods to identify, classify, and predict tumor behavior mostly rely on histology, immunohistochemistry, and molecular determinants. However, better predictive markers are required for tumor diagnosis and evaluation. Due, in part, to recent technological advancements, metabolomics and lipid biomarkers have become a promising area in cancer research. Therefore, there is a necessity for novel and complementary techniques to identify and visualize these molecular markers within tumors and surrounding tissue. RECENT FINDINGS Since its introduction, mass spectrometry imaging (MSI) has proven to be a powerful tool for mapping analytes in biological tissues. By adding the label-free specificity of mass spectrometry to the detailed spatial information of traditional histology, hundreds of lipids can be imaged simultaneously within a tumor. MSI provides highly detailed lipid maps for comparing intra-tumor, tumor margin, and healthy regions to identify biomarkers, patterns of disease, and potential therapeutic targets. In this manuscript, recent advancement in sample preparation and MSI technologies are discussed with special emphasis on cancer lipid research to identify tumor biomarkers. CONCLUSION MSI offers a unique approach for biomolecular characterization of tumor tissues and provides valuable complementary information to histology for lipid biomarker discovery and tumor classification in clinical and research cancer applications.
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Affiliation(s)
- Matthias Holzlechner
- Department of Neuroscience, Cell Biology, and AnatomyThe University of Texas Medical Branch at Galveston (UTMB)GalvestonTexas
| | - Eliseo Eugenin
- Department of Neuroscience, Cell Biology, and AnatomyThe University of Texas Medical Branch at Galveston (UTMB)GalvestonTexas
| | - Brendan Prideaux
- Department of Neuroscience, Cell Biology, and AnatomyThe University of Texas Medical Branch at Galveston (UTMB)GalvestonTexas
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10
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Liu R, Zhang G, Sun M, Pan X, Yang Z. Integrating a generalized data analysis workflow with the Single-probe mass spectrometry experiment for single cell metabolomics. Anal Chim Acta 2019; 1064:71-79. [PMID: 30982520 PMCID: PMC6579046 DOI: 10.1016/j.aca.2019.03.006] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2018] [Revised: 03/04/2019] [Accepted: 03/05/2019] [Indexed: 01/18/2023]
Abstract
We conducted single cell metabolomics studies of live cancer cells through online single cell mass spectrometry (SCMS) experiments combined with a generalized comprehensive data analysis workflow. The SCMS experiments were carried out using the Single-probe device coupled with a mass spectrometer to measure molecular profiles of cells in response to two mitotic inhibitors, taxol and vinblastine, under a series of treatment conditions. SCMS metabolomic data were analyzed using a comprehensive approach, including data pre-treatment, visualization, statistical analysis, machine learning, and pathway enrichment analysis. For comparative studies, traditional liquid chromatography-MS (LC-MS) experiments were conducted using lysates prepared from bulk cell samples. Metabolomic profiles of single cells were visualized through Partial Least Square-Discriminant Analysis (PLS-DA), and the phenotypic biomarkers associated with emerging phenotypes induced by drug treatment were discovered and compared through a series of rigorous statistical analysis. Species of interest were further identified at both the single cell and population levels. In addition, four biological pathways potentially involved in the drug treatment were determined through pathway enrichment analysis. Our work demonstrated the capability of comprehensive pipeline studies of single cell metabolomics. This method can be potentially applied to broader types of SCMS datasets for future pharmaceutical and chemotherapeutic research.
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Affiliation(s)
- Renmeng Liu
- Department of Chemistry and Biochemistry, University of Oklahoma, 101 Stephenson Parkway, Norman, OK, 73019, USA
| | - Genwei Zhang
- Department of Chemistry and Biochemistry, University of Oklahoma, 101 Stephenson Parkway, Norman, OK, 73019, USA
| | - Mei Sun
- Department of Chemistry and Biochemistry, University of Oklahoma, 101 Stephenson Parkway, Norman, OK, 73019, USA
| | - Xiaoliang Pan
- Department of Chemistry and Biochemistry, University of Oklahoma, 101 Stephenson Parkway, Norman, OK, 73019, USA
| | - Zhibo Yang
- Department of Chemistry and Biochemistry, University of Oklahoma, 101 Stephenson Parkway, Norman, OK, 73019, USA.
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11
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Michishita M, Saito N, Nozawa S, Furumoto R, Nakagawa T, Sato T, Ochiai K, Azakami D, Katayama K, Nakahira R, Tazaki H, Machida Y, Ishiwata T. Metabolite profiling in sphere-forming cells from canine mammary adenocarcinoma cell lines using gas chromatography-mass spectrometry. J Vet Med Sci 2019; 81:1238-1248. [PMID: 31308293 PMCID: PMC6785626 DOI: 10.1292/jvms.19-0194] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
Cancer consists of heterogeneous cells that contain a small population of cells that possess stem cell properties; these cells, referred to as cancer stem cells (CSCs) or tumor-initiating
cells, are involved in tumor progression and metastasis. Using a sphere-forming assay, canine mammary CSCs were found to be similar to human breast CSCs. Metabolic reprogramming has been
recognized as a hallmark of various cancers. However, the significance of cellular metabolism in CSCs remains unclear. The aim of this study was to define the metabolic characteristics of
CSCs derived from canine mammary tumors and gain an understanding of the maintenance of stemness. We identified metabolite profiles of canine mammary adenocarcinoma cell lines using gas
chromatography-mass spectrometry. Metabolites were extracted from both adherent and sphere-forming cells derived from three cell lines. Sphere-forming cells were separated from adherent
cells using an orthogonal, partial least-squares discriminant analysis. Sphere-forming cells were found to contain high levels of the amino acids alanine, glycine and proline compared with
adherent cells. They also had high levels of palmitoleate, palmitate and dihomo-gamma-linolenic acid compared with adherent cells. In a sphere-forming assay, palmitate increased the number
of spheres for all cell lines. These results indicate that the sphere-forming cells derived from canine mammary adenocarcinoma cell lines have specific metabolic profiles that may be useful
for the development of CSC-specific therapies targeting metabolic pathways and potential stemness biomarkers; these results also clarify the maintenance of stemness in canine mammary
CSCs.
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Affiliation(s)
- Masaki Michishita
- Department of Veterinary Pathology, School of Veterinary Medicine, Nippon Veterinary and Life Science University, 1-7-1 Kyonan-cho, Musashino, Tokyo 180-8602, Japan
| | - Namika Saito
- Department of Veterinary Pathology, School of Veterinary Medicine, Nippon Veterinary and Life Science University, 1-7-1 Kyonan-cho, Musashino, Tokyo 180-8602, Japan
| | - Satoshi Nozawa
- Department of Biomolecular Chemistry, School of Veterinary Medicine, Nippon Veterinary and Life Science University, 1-7-1 Kyonan-cho, Musashino, Tokyo 180-8602, Japan
| | - Rina Furumoto
- Department of Veterinary Pathology, School of Veterinary Medicine, Nippon Veterinary and Life Science University, 1-7-1 Kyonan-cho, Musashino, Tokyo 180-8602, Japan
| | - Takayuki Nakagawa
- Laboratory of Veterinary Surgery, Graduate School of Agricultural and Life Science, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan
| | - Touko Sato
- Department of Biomolecular Chemistry, School of Veterinary Medicine, Nippon Veterinary and Life Science University, 1-7-1 Kyonan-cho, Musashino, Tokyo 180-8602, Japan
| | - Kazuhiko Ochiai
- Department of Basic Science, School of Veterinary Nursing, Nippon Veterinary and Life Science University, 1-7-1 Kyonan-cho, Musashino, Tokyo 180-8602, Japan
| | - Daigo Azakami
- Department of Veterinary Nursing, School of Veterinary Nursing, Nippon Veterinary and Life Science University, 1-7-1 Kyonan-cho, Musashino, Tokyo 180-8602, Japan
| | - Kinya Katayama
- Department of Biomolecular Chemistry, School of Veterinary Medicine, Nippon Veterinary and Life Science University, 1-7-1 Kyonan-cho, Musashino, Tokyo 180-8602, Japan
| | - Rei Nakahira
- Department of Veterinary Pathology, School of Veterinary Medicine, Nippon Veterinary and Life Science University, 1-7-1 Kyonan-cho, Musashino, Tokyo 180-8602, Japan
| | - Hiroyuki Tazaki
- Department of Biomolecular Chemistry, School of Veterinary Medicine, Nippon Veterinary and Life Science University, 1-7-1 Kyonan-cho, Musashino, Tokyo 180-8602, Japan
| | - Yukino Machida
- Department of Veterinary Pathology, School of Veterinary Medicine, Nippon Veterinary and Life Science University, 1-7-1 Kyonan-cho, Musashino, Tokyo 180-8602, Japan
| | - Toshiyuki Ishiwata
- Division of Aging and Carcinogenesis, Research Team for Geriatric Pathology, Tokyo Metropolitan Institute of Gerontology, 35-2 Sakae-cho, Itabashi-ku, Tokyo 173-0015, Japan
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12
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Abstract
Cancer stem cells (CSCs) are rare types of cells responsible for tumor development, relapse, and metastasis. However, current research in CSC biology is largely limited by the difficulty of obtaining sufficient CSCs. Single-cell analysis techniques are promising tools for CSC-related studies. Here, we used the Single-probe mass spectrometry (MS) technique to investigate the metabolic features of live colorectal CSCs at the single-cell level. Experimental data were analyzed using statistical analysis methods, including the t-test and partial least squares discriminant analysis. Our results indicate that the overall metabolic profiles of CSCs are distinct from non-stem cancer cells (NSCCs). Specifically, we demonstrated that tricarboxylic acid (TCA) cycle metabolites are more abundant in CSCs compared to NSCCs, indicating their major energy production pathways are different. Moreover, CSCs have relatively higher levels of unsaturated lipids. Inhibiting the activities of stearoyl-CoA desaturase-1 (SCD1), nuclear factor κB (NF-κB), and aldehyde dehydrogenases (ALDH1A1) in CSCs significantly reduced the abundances of unsaturated lipids and hindered the formation of spheroids, resulting in reduced stemness of CSCs. Our techniques and experimental protocols can be potentially used for metabolomic studies of other CSCs and rare types of cells and provide a new approach to discovering functional biomarkers as therapeutic targets.
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Affiliation(s)
- Mei Sun
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, Oklahoma 73019, United States
| | - Zhibo Yang
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, Oklahoma 73019, United States
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13
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Yang B, Patterson NH, Tsui T, Caprioli RM, Norris JL. Single-Cell Mass Spectrometry Reveals Changes in Lipid and Metabolite Expression in RAW 264.7 Cells upon Lipopolysaccharide Stimulation. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2018; 29. [PMID: 29536413 PMCID: PMC5943162 DOI: 10.1007/s13361-018-1899-9] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
It has been widely recognized that individual cells that exist within a large population of cells, even if they are genetically identical, can have divergent molecular makeups resulting from a variety of factors, including local environmental factors and stochastic processes within each cell. Presently, numerous approaches have been described that permit the resolution of these single-cell expression differences for RNA and protein; however, relatively few techniques exist for the study of lipids and metabolites in this manner. This study presents a methodology for the analysis of metabolite and lipid expression at the level of a single cell through the use of imaging mass spectrometry on a high-performance Fourier transform ion cyclotron resonance mass spectrometer. This report provides a detailed description of the overall experimental approach, including sample preparation as well as the data acquisition and analysis strategy for single cells. Applying this approach to the study of cultured RAW264.7 cells, we demonstrate that this method can be used to study the variation in molecular expression with cell populations and is sensitive to alterations in that expression that occurs upon lipopolysaccharide stimulation. Graphical Abstract.
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Affiliation(s)
- Bo Yang
- Mass Spectrometry Research Center, Vanderbilt University, 465 21st Avenue South, Nashville, TN, 37240, USA
- Department of Biochemistry, Vanderbilt University School of Medicine, 465 21st Avenue South, Nashville, TN, 37240, USA
| | - Nathan Heath Patterson
- Mass Spectrometry Research Center, Vanderbilt University, 465 21st Avenue South, Nashville, TN, 37240, USA
- Department of Biochemistry, Vanderbilt University School of Medicine, 465 21st Avenue South, Nashville, TN, 37240, USA
| | - Tina Tsui
- Mass Spectrometry Research Center, Vanderbilt University, 465 21st Avenue South, Nashville, TN, 37240, USA
- Department of Biochemistry, Vanderbilt University School of Medicine, 465 21st Avenue South, Nashville, TN, 37240, USA
| | - Richard M Caprioli
- Mass Spectrometry Research Center, Vanderbilt University, 465 21st Avenue South, Nashville, TN, 37240, USA
- Department of Biochemistry, Vanderbilt University School of Medicine, 465 21st Avenue South, Nashville, TN, 37240, USA
- Department of Chemistry, Vanderbilt University, 465 21st Avenue South, Nashville, TN, 37240, USA
| | - Jeremy L Norris
- Mass Spectrometry Research Center, Vanderbilt University, 465 21st Avenue South, Nashville, TN, 37240, USA.
- Department of Biochemistry, Vanderbilt University School of Medicine, 465 21st Avenue South, Nashville, TN, 37240, USA.
- Department of Chemistry, Vanderbilt University, 465 21st Avenue South, Nashville, TN, 37240, USA.
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14
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Galkowski D, Ratajczak MZ, Kocki J, Darzynkiewicz Z. Of Cytometry, Stem Cells and Fountain of Youth. Stem Cell Rev Rep 2018; 13:465-481. [PMID: 28364326 DOI: 10.1007/s12015-017-9733-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Outlined are advances of cytometry applications to identify and sort stem cells, of laser scanning cytometry and ImageStream imaging instrumentation to further analyze morphometry of these cells, and of mass cytometry to classify a multitude of cellular markers in large cell populations. Reviewed are different types of stem cells, including potential candidates for cancer stem cells, with respect to their "stemness", and other characteristics. Appraised is further progress in identification and isolation of the "very small embryonic-like stem cells" (VSELs) and their autogenous transplantation for tissue repair and geroprotection. Also assessed is a function of hyaluronic acid, the major stem cells niche component, as a guardian and controller of stem cells. Briefly appraised are recent advances and challenges in the application of stem cells in regenerative medicine and oncology and their future role in different disciplines of medicine, including geriatrics.
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Affiliation(s)
| | - Mariusz Z Ratajczak
- Stem Cell Institute at James Graham Brown Cancer Center, University of Louisville, Louisville, KY, 40202, USA
| | - Janusz Kocki
- Department of Clinical Genetics, Medical University in Lublin, 20-080, Lublin, Poland
| | - Zbigniew Darzynkiewicz
- Brander Cancer Research Institute and Department of Pathology, New York Medical College, Valhalla, NY, 10095, USA.
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15
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Bandu R, Mok HJ, Kim KP. Phospholipids as cancer biomarkers: Mass spectrometry-based analysis. MASS SPECTROMETRY REVIEWS 2018; 37:107-138. [PMID: 27276657 DOI: 10.1002/mas.21510] [Citation(s) in RCA: 114] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2016] [Accepted: 05/19/2016] [Indexed: 05/02/2023]
Abstract
Lipids, particularly phospholipids (PLs), are key components of cellular membrane. PLs play important and diverse roles in cells such as chemical-energy storage, cellular signaling, cell membranes, and cell-cell interactions in tissues. All these cellular processes are pertinent to cells that undergo transformation, cancer progression, and metastasis. Thus, there is a strong possibility that some classes of PLs are expected to present in cancer cells and tissues in cellular physiology. The mass spectrometric soft-ionization techniques, electrospray ionization (ESI), and matrix-assisted laser desorption/ionization (MALDI) are well-established in the proteomics field, have been used for lipidomic analysis in cancer research. This review focused on the applications of mass spectrometry (MS) mainly on ESI-MS and MALDI-MS in the structural characterization, molecular composition and key roles of various PLs present in cancer cells, tissues, blood, and urine, and on their importance for cancer-related problems as well as challenges for development of novel PL-based biomarkers. The profiling of PLs helps to rationalize their functions in biological systems, and will also provide diagnostic information to elucidate mechanisms behind the control of cancer, diabetes, and neurodegenerative diseases. The investigation of cellular PLs with MS methods suggests new insights on various cancer diseases and clinical applications in the drug discovery and development of biomarkers for various PL-related different cancer diseases. PL profiling in tissues, cells and body fluids also reflect the general condition of the whole organism and can indicate the existence of cancer and other diseases. PL profiling with MS opens new prospects to assess alterations of PLs in cancer, screening specific biomarkers and provide a basis for the development of novel therapeutic strategies. © 2016 Wiley Periodicals, Inc. Mass Spec Rev 37:107-138, 2018.
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Affiliation(s)
- Raju Bandu
- Department of Applied Chemistry, College of Applied Science, Kyung Hee University, Yong-in City, 446-701, Korea
| | - Hyuck Jun Mok
- Department of Applied Chemistry, College of Applied Science, Kyung Hee University, Yong-in City, 446-701, Korea
| | - Kwang Pyo Kim
- Department of Applied Chemistry, College of Applied Science, Kyung Hee University, Yong-in City, 446-701, Korea
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16
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Shintani-Domoto Y, Hayasaka T, Maeda D, Masaki N, Ito TK, Sakuma K, Tanaka M, Kabashima K, Takei S, Setou M, Fukayama M. Different desmin peptides are distinctly deposited in cytoplasmic aggregations and cytoplasm of desmin-related cardiomyopathy patients. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2017; 1865:828-836. [PMID: 28341603 DOI: 10.1016/j.bbapap.2017.03.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2016] [Revised: 03/15/2017] [Accepted: 03/16/2017] [Indexed: 11/16/2022]
Abstract
Desmin-related cardiomyopathy is a heterogeneous group of myofibrillar myopathies characterized by aggregates of desmin and related proteins in myocytes. It has been debated how the expression and protein structure are altered in the aggregates and other parts of myocytes in patients. To address this question, we investigated the proteome quantification as well as localization in formalin-fixed and paraffin-embedded specimens of the heart of patients by imaging mass spectrometry and liquid chromatography-mass spectrometry analyses. Fifteen tryptic peptide signals were enriched in the desmin-related cardiomyopathy myocardium, twelve of which were identified as desmin peptides with 14.3- to 27.3-fold increase compared to normal hearts. High-intensity signals at m/z 1032.5 and 1002.5, which were desmin peptides 59-70 at the head portion and 213-222 at the 1B domain, were with infrequent colocalization distributed not only in desmin-positive intracytoplasmic aggregates but also in histologically normal cytoplasm, indicating that desmin protein is fragmented and different types of naturally-occurring truncated proteins ectopically assemble throughout the heart of patients. Thus, in addition to conventional histological identification of protein aggregates, specific desmin peptides show a marked difference in quantity and localization in a tissue section of desmin-related cardiomyopathy and differentiate from other cardiomyopathies. This article is part of a Special Issue entitled: MALDI Imaging, edited by Dr. Corinna Henkel and Prof. Peter Hoffmann.
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Affiliation(s)
- Yukako Shintani-Domoto
- Department of Pathology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Takahiro Hayasaka
- Laboratory for Advanced Lipid Analysis, Health Innovation & Technology Center, Faculty of Health Sciences, Hokkaido University, Sapporo, Japan; Department of Cellular and Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Daichi Maeda
- Department of Pathology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; Department of Cellular and Organ Pathology, Akita University, Akita, Japan
| | - Noritaka Masaki
- Department of Medical Spectroscopy, Institute for Medical Photonics Research, Preeminent Medical Photonics Education &Research Center, Hamamatsu University School of Medicine, Hamamatsu, Japan; Department of Cellular and Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Takashi K Ito
- Department of Cellular and Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Japan; International Mass Imaging Center, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Kei Sakuma
- Department of Pathology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Michio Tanaka
- Department of Pathology, Tokyo Metropolitan Hiroo Hospital, Tokyo, Japan
| | - Katsuya Kabashima
- Department of Cellular and Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Japan; International Mass Imaging Center, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Shiro Takei
- Department of Cellular and Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Japan; International Mass Imaging Center, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Mitsutoshi Setou
- Department of Cellular and Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Japan; International Mass Imaging Center, Hamamatsu University School of Medicine, Hamamatsu, Japan; Preeminent Medical Photonics Education & Research Center, Hamamatsu University School of Medicine, Hamamatsu, Japan; Riken Center for Molecular Imaging Science, Kobe, Japan; Department of Anatomy, The University of Hong Kong, Hong Kong, China; Division of Neural Systematics, National Institute for Physiological Sciences, Okazaki, Japan.
| | - Masashi Fukayama
- Department of Pathology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
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17
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Arentz G, Mittal P, Zhang C, Ho YY, Briggs M, Winderbaum L, Hoffmann MK, Hoffmann P. Applications of Mass Spectrometry Imaging to Cancer. Adv Cancer Res 2017; 134:27-66. [PMID: 28110654 DOI: 10.1016/bs.acr.2016.11.002] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Pathologists play an essential role in the diagnosis and prognosis of benign and cancerous tumors. Clinicians provide tissue samples, for example, from a biopsy, which are then processed and thin sections are placed onto glass slides, followed by staining of the tissue with visible dyes. Upon processing and microscopic examination, a pathology report is provided, which relies on the pathologist's interpretation of the phenotypical presentation of the tissue. Targeted analysis of single proteins provide further insight and together with clinical data these results influence clinical decision making. Recent developments in mass spectrometry facilitate the collection of molecular information about such tissue specimens. These relatively new techniques generate label-free mass spectra across tissue sections providing nonbiased, nontargeted molecular information. At each pixel with spatial coordinates (x/y) a mass spectrum is acquired. The acquired mass spectrums can be visualized as intensity maps displaying the distribution of single m/z values of interest. Based on the sample preparation, proteins, peptides, lipids, small molecules, or glycans can be analyzed. The generated intensity maps/images allow new insights into tumor tissues. The technique has the ability to detect and characterize tumor cells and their environment in a spatial context and combined with histological staining, can be used to aid pathologists and clinicians in the diagnosis and management of cancer. Moreover, such data may help classify patients to aid therapy decisions and predict outcomes. The novel complementary mass spectrometry-based methods described in this chapter will contribute to the transformation of pathology services around the world.
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Affiliation(s)
- G Arentz
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia; Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, SA, Australia
| | - P Mittal
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia; Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, SA, Australia
| | - C Zhang
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia; Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, SA, Australia
| | - Y-Y Ho
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia
| | - M Briggs
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia; Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, SA, Australia; ARC Centre for Nanoscale BioPhotonics (CNBP), University of Adelaide, Adelaide, SA, Australia
| | - L Winderbaum
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia
| | - M K Hoffmann
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia; Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, SA, Australia
| | - P Hoffmann
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia; Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, SA, Australia.
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Huang L, Chen Y, Weng LT, Leung M, Xing X, Fan Z, Wu H. Fast Single-Cell Patterning for Study of Drug-Induced Phenotypic Alterations of HeLa Cells Using Time-of-Flight Secondary Ion Mass Spectrometry. Anal Chem 2016; 88:12196-12203. [DOI: 10.1021/acs.analchem.6b03170] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Affiliation(s)
- Lu Huang
- Department
of Chemistry, ‡Division of Biomedical Engineering, §Materials Characterization and Preparation
Facility, Department of Chemical and Biomolecular Engineering, and ∥Department of
Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Yin Chen
- Department
of Chemistry, ‡Division of Biomedical Engineering, §Materials Characterization and Preparation
Facility, Department of Chemical and Biomolecular Engineering, and ∥Department of
Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Lu-Tao Weng
- Department
of Chemistry, ‡Division of Biomedical Engineering, §Materials Characterization and Preparation
Facility, Department of Chemical and Biomolecular Engineering, and ∥Department of
Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Mark Leung
- Department
of Chemistry, ‡Division of Biomedical Engineering, §Materials Characterization and Preparation
Facility, Department of Chemical and Biomolecular Engineering, and ∥Department of
Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Xiaoxing Xing
- Department
of Chemistry, ‡Division of Biomedical Engineering, §Materials Characterization and Preparation
Facility, Department of Chemical and Biomolecular Engineering, and ∥Department of
Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Zhiyong Fan
- Department
of Chemistry, ‡Division of Biomedical Engineering, §Materials Characterization and Preparation
Facility, Department of Chemical and Biomolecular Engineering, and ∥Department of
Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Hongkai Wu
- Department
of Chemistry, ‡Division of Biomedical Engineering, §Materials Characterization and Preparation
Facility, Department of Chemical and Biomolecular Engineering, and ∥Department of
Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, China
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Miyawaki S, Imai H, Hayasaka T, Masaki N, Ono H, Ochi T, Ito A, Nakatomi H, Setou M, Saito N. Imaging mass spectrometry detects dynamic changes of phosphatidylcholine in rat hippocampal CA1 after transient global ischemia. Neuroscience 2016; 322:66-77. [DOI: 10.1016/j.neuroscience.2016.02.013] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2015] [Revised: 02/02/2016] [Accepted: 02/02/2016] [Indexed: 11/16/2022]
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Jungnickel H, Laux P, Luch A. Time-of-Flight Secondary Ion Mass Spectrometry (ToF-SIMS): A New Tool for the Analysis of Toxicological Effects on Single Cell Level. TOXICS 2016; 4:toxics4010005. [PMID: 29051411 PMCID: PMC5606633 DOI: 10.3390/toxics4010005] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/22/2015] [Revised: 02/02/2016] [Accepted: 02/06/2016] [Indexed: 12/13/2022]
Abstract
Single cell imaging mass spectrometry opens up a complete new perspective for strategies in toxicological risk assessment and drug discovery. In particular, time-of-flight secondary ion mass spectrometry (ToF-SIMS) with its high spatial and depth resolution is becoming part of the imaging mass spectrometry toolbox used for single cell analysis. Recent instrumentation advancements in combination with newly developed cluster ion guns allow 3-dimensional reconstruction of single cells together with a spatially resolved compound location and quantification on nanoscale depth level. The exact location and quantification of a single compound or even of a set of compounds is no longer restricted to the two dimensional space within single cells, but is available for voxels, a cube-sized 3-dimensional space, rather than pixels. The information gathered from one voxel is further analysed using multivariate statistical methodology like maximum autocorrelation factors to co-locate the compounds of interest within intracellular organelles like nucleus, mitochondria or golgi apparatus. Furthermore, the cell membrane may be resolved, including adhering compounds and potential changes of the lipid patterns. The generated information can be used further for a first evaluation of intracellular target specifity of new drug candidates or for the toxicological risk assessment of environmental chemicals and their intracellular metabolites. Additionally, single cell lipidomics and metabolomics enable for the first time an in-depth understanding of the activation or inhibition of cellular biosynthesis and signalling pathways.
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Affiliation(s)
- Harald Jungnickel
- Department of Chemicals and Product Safety, German Federal Institute for Risk Assessment, Max-Dohrn-Strasse 8-10, 10589 Berlin, Germany.
| | - Peter Laux
- Department of Chemicals and Product Safety, German Federal Institute for Risk Assessment, Max-Dohrn-Strasse 8-10, 10589 Berlin, Germany.
| | - Andreas Luch
- Department of Chemicals and Product Safety, German Federal Institute for Risk Assessment, Max-Dohrn-Strasse 8-10, 10589 Berlin, Germany.
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Decreased level of phosphatidylcholine (16:0/20:4) in multiple myeloma cells compared to plasma cells: a single-cell MALDI–IMS approach. Anal Bioanal Chem 2015; 407:5273-80. [DOI: 10.1007/s00216-015-8741-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2014] [Revised: 04/16/2015] [Accepted: 04/24/2015] [Indexed: 10/23/2022]
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22
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Barceló-Coblijn G, Fernández JA. Mass spectrometry coupled to imaging techniques: the better the view the greater the challenge. Front Physiol 2015; 6:3. [PMID: 25657625 PMCID: PMC4302787 DOI: 10.3389/fphys.2015.00003] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2014] [Accepted: 01/06/2015] [Indexed: 11/13/2022] Open
Abstract
These are definitively exciting times for membrane lipid researchers. Once considered just as the cell membrane building blocks, the important role these lipids play is steadily being acknowledged. The improvement occurred in mass spectrometry techniques (MS) allows the establishment of the precise lipid composition of biological extracts. However, to fully understand the biological function of each individual lipid species, we need to know its spatial distribution and dynamics. In the past 10 years, the field has experienced a profound revolution thanks to the development of MS-based techniques allowing lipid imaging (MSI). Images reveal and verify what many lipid researchers had already shown by different means, but none as convincing as an image: each cell type presents a specific lipid composition, which is highly sensitive to its physiological and pathological state. While these techniques will help to place membrane lipids in the position they deserve, they also open the black box containing all the unknown regulatory mechanisms accounting for such tailored lipid composition. Thus, these results urges to different disciplines to redefine their paradigm of study by including the complexity revealed by the MSI techniques.
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Affiliation(s)
- Gwendolyn Barceló-Coblijn
- Lipids in Human Pathology, Research Unit, Hospital Universitari Son Espases, Institut d'Investigació Sanitària de Palma (IdISPa) Palma, Spain
| | - José A Fernández
- Departamento de Química-Física, Facultad de Ciencia y Tecnología, Universidad del País Vasco (UPV/EHU) Leioa, Spain
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