1
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Mikkola M, Desmet KLJ, Kommisrud E, Riegler MA. Recent advancements to increase success in assisted reproductive technologies in cattle. Anim Reprod 2024; 21:e20240031. [PMID: 39176005 PMCID: PMC11340803 DOI: 10.1590/1984-3143-ar2024-0031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Accepted: 06/14/2024] [Indexed: 08/24/2024] Open
Abstract
Assisted reproductive technologies (ART) are fundamental for cattle breeding and sustainable food production. Together with genomic selection, these technologies contribute to reducing the generation interval and accelerating genetic progress. In this paper, we discuss advancements in technologies used in the fertility evaluation of breeding animals, and the collection, processing, and preservation of the gametes. It is of utmost importance for the breeding industry to select dams and sires of the next generation as young as possible, as is the efficient and timely collection of gametes. There is a need for reliable and easily applicable methods to evaluate sexual maturity and fertility. Although gametes processing and preservation have been improved in recent decades, challenges are still encountered. The targeted use of sexed semen and beef semen has obliterated the production of surplus replacement heifers and bull calves from dairy breeds, markedly improving animal welfare and ethical considerations in production practices. Parallel with new technologies, many well-established technologies remain relevant, although with evolving applications. In vitro production (IVP) has become the predominant method of embryo production. Although fundamental improvements in IVP procedures have been established, the quality of IVP embryos remains inferior to their in vivo counterparts. Improvements to facilitate oocyte maturation and development of new culture systems, e.g. microfluidics, are presented in this paper. New non-invasive and objective tools are needed to select embryos for transfer. Cryopreservation of semen and embryos plays a pivotal role in the distribution of genetics, and we discuss the challenges and opportunities in this field. Finally, machine learning (ML) is gaining ground in agriculture and ART. This paper delves into the utilization of emerging technologies in ART, along with the current status, key challenges, and future prospects of ML in both research and practical applications within ART.
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Affiliation(s)
| | | | - Elisabeth Kommisrud
- CRESCO, Centre for Embryology and Healthy Development, Department of Biotechnology, Inland Norway University of Applied Sciences, Hamar, Norway
| | - Michael A. Riegler
- Holistic Systems Department, Simula Metropolitan Center for Digital Engineering, Oslo, Norway
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2
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Chow DJX, Tan TCY, Upadhya A, Lim M, Dholakia K, Dunning KR. Viewing early life without labels: optical approaches for imaging the early embryo†. Biol Reprod 2024; 110:1157-1174. [PMID: 38647415 PMCID: PMC11180623 DOI: 10.1093/biolre/ioae062] [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: 01/28/2024] [Revised: 03/26/2024] [Accepted: 04/18/2024] [Indexed: 04/25/2024] Open
Abstract
Embryo quality is an important determinant of successful implantation and a resultant live birth. Current clinical approaches for evaluating embryo quality rely on subjective morphology assessments or an invasive biopsy for genetic testing. However, both approaches can be inherently inaccurate and crucially, fail to improve the live birth rate following the transfer of in vitro produced embryos. Optical imaging offers a potential non-invasive and accurate avenue for assessing embryo viability. Recent advances in various label-free optical imaging approaches have garnered increased interest in the field of reproductive biology due to their ability to rapidly capture images at high resolution, delivering both morphological and molecular information. This burgeoning field holds immense potential for further development, with profound implications for clinical translation. Here, our review aims to: (1) describe the principles of various imaging systems, distinguishing between approaches that capture morphological and molecular information, (2) highlight the recent application of these technologies in the field of reproductive biology, and (3) assess their respective merits and limitations concerning the capacity to evaluate embryo quality. Additionally, the review summarizes challenges in the translation of optical imaging systems into routine clinical practice, providing recommendations for their future development. Finally, we identify suitable imaging approaches for interrogating the mechanisms underpinning successful embryo development.
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Affiliation(s)
- Darren J X Chow
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, Australia
- Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, Australia
- Centre of Light for Life, The University of Adelaide, Adelaide, Australia
| | - Tiffany C Y Tan
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, Australia
- Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, Australia
| | - Avinash Upadhya
- Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, Australia
- Centre of Light for Life, The University of Adelaide, Adelaide, Australia
- School of Biological Sciences, The University of Adelaide, Adelaide, Australia
| | - Megan Lim
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, Australia
- Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, Australia
- Centre of Light for Life, The University of Adelaide, Adelaide, Australia
- School of Biological Sciences, The University of Adelaide, Adelaide, Australia
| | - Kishan Dholakia
- Centre of Light for Life, The University of Adelaide, Adelaide, Australia
- School of Biological Sciences, The University of Adelaide, Adelaide, Australia
- Scottish Universities Physics Alliance, School of Physics and Astronomy, University of St Andrews, St Andrews, United Kingdom
| | - Kylie R Dunning
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, Australia
- Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, Australia
- Centre of Light for Life, The University of Adelaide, Adelaide, Australia
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3
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Kumar A, Choudhary A, Munshi A. Epigenetic reprogramming of mtDNA and its etiology in mitochondrial diseases. J Physiol Biochem 2024:10.1007/s13105-024-01032-z. [PMID: 38865050 DOI: 10.1007/s13105-024-01032-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Accepted: 06/04/2024] [Indexed: 06/13/2024]
Abstract
Mitochondrial functionality and its regulation are tightly controlled through a balanced crosstalk between the nuclear and mitochondrial DNA interactions. Epigenetic signatures like methylation, hydroxymethylation and miRNAs have been reported in mitochondria. In addition, epigenetic signatures encoded by nuclear DNA are also imported to mitochondria and regulate the gene expression dynamics of the mitochondrial genome. Alteration in the interplay of these epigenetic modifications results in the pathogenesis of various disorders like neurodegenerative, cardiovascular, metabolic disorders, cancer, aging and senescence. These modifications result in higher ROS production, increased mitochondrial copy number and disruption in the replication process. In addition, various miRNAs are associated with regulating and expressing important mitochondrial gene families like COX, OXPHOS, ND and DNMT. Epigenetic changes are reversible and therefore therapeutic interventions like changing the target modifications can be utilized to repair or prevent mitochondrial insufficiency by reversing the changed gene expression. Identifying these mitochondrial-specific epigenetic signatures has the potential for early diagnosis and treatment responses for many diseases caused by mitochondrial dysfunction. In the present review, different mitoepigenetic modifications have been discussed in association with the development of various diseases by focusing on alteration in gene expression and dysregulation of specific signaling pathways. However, this area is still in its infancy and future research is warranted to draw better conclusions.
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Affiliation(s)
- Anil Kumar
- Department of Human Genetics and Molecular Medicines, Central University of Punjab, Bathinda, India
| | - Anita Choudhary
- Department of Human Genetics and Molecular Medicines, Central University of Punjab, Bathinda, India
| | - Anjana Munshi
- Department of Human Genetics and Molecular Medicines, Central University of Punjab, Bathinda, India.
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4
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Campbell JM, Gosnell M, Agha A, Handley S, Knab A, Anwer AG, Bhargava A, Goldys EM. Label-Free Assessment of Key Biological Autofluorophores: Material Characteristics and Opportunities for Clinical Applications. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024:e2403761. [PMID: 38775184 DOI: 10.1002/adma.202403761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 05/04/2024] [Indexed: 06/13/2024]
Abstract
Autofluorophores are endogenous fluorescent compounds that naturally occur in the intra and extracellular spaces of all tissues and organs. Most have vital biological functions - like the metabolic cofactors NAD(P)H and FAD+, as well as the structural protein collagen. Others are considered to be waste products - like lipofuscin and advanced glycation end products - which accumulate with age and are associated with cellular dysfunction. Due to their natural fluorescence, these materials have great utility for enabling non-invasive, label-free assays with direct ties to biological function. Numerous technologies, with different advantages and drawbacks, are applied to their assessment, including fluorescence lifetime imaging microscopy, hyperspectral microscopy, and flow cytometry. Here, the applications of label-free autofluorophore assessment are reviewed for clinical and health-research applications, with specific attention to biomaterials, disease detection, surgical guidance, treatment monitoring, and tissue assessment - fields that greatly benefit from non-invasive methodologies capable of continuous, in vivo characterization.
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Affiliation(s)
- Jared M Campbell
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2033, Australia
| | | | - Adnan Agha
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2033, Australia
| | - Shannon Handley
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2033, Australia
| | - Aline Knab
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2033, Australia
| | - Ayad G Anwer
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2033, Australia
| | - Akanksha Bhargava
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2033, Australia
| | - Ewa M Goldys
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2033, Australia
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5
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Campbell JM, Habibalahi A, Handley S, Agha A, Mahbub SB, Anwer AG, Goldys EM. Emerging clinical applications in oncology for non-invasive multi- and hyperspectral imaging of cell and tissue autofluorescence. JOURNAL OF BIOPHOTONICS 2023; 16:e202300105. [PMID: 37272291 DOI: 10.1002/jbio.202300105] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 05/02/2023] [Accepted: 05/16/2023] [Indexed: 06/06/2023]
Abstract
Hyperspectral and multispectral imaging of cell and tissue autofluorescence is an emerging technology in which fluorescence imaging is applied to biological materials across multiple spectral channels. This produces a stack of images where each matched pixel contains information about the sample's spectral properties at that location. This allows precise collection of molecularly specific data from a broad range of native fluorophores. Importantly, complex information, directly reflective of biological status, is collected without staining and tissues can be characterised in situ, without biopsy. For oncology, this can spare the collection of biopsies from sensitive regions and enable accurate tumour mapping. For in vivo tumour analysis, the greatest focus has been on oral cancer, whereas for ex vivo assessment head-and-neck cancers along with colon cancer have been the most studied, followed by oral and eye cancer. This review details the scope and progress of research undertaken towards clinical translation in oncology.
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Affiliation(s)
- Jared M Campbell
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, The University of Adelaide, Adelaide, South Australia, Australia
| | - Abbas Habibalahi
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, The University of Adelaide, Adelaide, South Australia, Australia
| | - Shannon Handley
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, The University of Adelaide, Adelaide, South Australia, Australia
| | - Adnan Agha
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, The University of Adelaide, Adelaide, South Australia, Australia
| | - Saabah B Mahbub
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, The University of Adelaide, Adelaide, South Australia, Australia
| | - Ayad G Anwer
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, The University of Adelaide, Adelaide, South Australia, Australia
| | - Ewa M Goldys
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, The University of Adelaide, Adelaide, South Australia, Australia
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6
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García MJ, Kamaid A, Malacrida L. Label-free fluorescence microscopy: revisiting the opportunities with autofluorescent molecules and harmonic generations as biosensors and biomarkers for quantitative biology. Biophys Rev 2023; 15:709-719. [PMID: 37681086 PMCID: PMC10480099 DOI: 10.1007/s12551-023-01083-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 06/19/2023] [Indexed: 09/09/2023] Open
Abstract
Over the past decade, the utilization of advanced fluorescence microscopy technologies has presented numerous opportunities to study or re-investigate autofluorescent molecules and harmonic generation signals as molecular biomarkers and biosensors for in vivo cell and tissue studies. The label-free approaches benefit from the endogenous fluorescent molecules within the cell and take advantage of their spectroscopy properties to address biological questions. Harmonic generation can be used as a tool to identify the occurrence of fibrillar or lipid deposits in tissues, by using second and third-harmonic generation microscopy. Combining autofluorescence with novel techniques and tools such as fluorescence lifetime imaging microscopy (FLIM) and hyperspectral imaging (HSI) with model-free analysis of phasor plots has revolutionized the understanding of molecular processes such as cellular metabolism. These tools provide quantitative information that is often hidden under classical intensity-based microscopy. In this short review, we aim to illustrate how some of these technologies and techniques may enable investigation without the need to add a foreign fluorescence molecule that can modify or affect the results. We address some of the most important autofluorescence molecules and their spectroscopic properties to illustrate the potential of these combined tools. We discuss using them as biomarkers and biosensors and, under the lens of this new technology, identify some of the challenges and potentials for future advances in the field.
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Affiliation(s)
- María José García
- Departamento de Fisiopatología, Hospital de Clínicas, Facultad de Medicina, Universidad de La República, Montevideo, Uruguay
- Advanced Bioimaging Unit, Institut Pasteur de Montevideo & Universidad de la República, Montevideo, Uruguay
| | - Andrés Kamaid
- Advanced Bioimaging Unit, Institut Pasteur de Montevideo & Universidad de la República, Montevideo, Uruguay
| | - Leonel Malacrida
- Departamento de Fisiopatología, Hospital de Clínicas, Facultad de Medicina, Universidad de La República, Montevideo, Uruguay
- Advanced Bioimaging Unit, Institut Pasteur de Montevideo & Universidad de la República, Montevideo, Uruguay
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7
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Campbell JM, Mahbub SB, Habibalahi A, Agha A, Handley S, Anwer AG, Goldys EM. Clinical applications of non-invasive multi and hyperspectral imaging of cell and tissue autofluorescence beyond oncology. JOURNAL OF BIOPHOTONICS 2023; 16:e202200264. [PMID: 36602432 DOI: 10.1002/jbio.202200264] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 12/20/2022] [Accepted: 12/24/2022] [Indexed: 06/17/2023]
Abstract
Hyperspectral and multispectral imaging of cell and tissue autofluorescence employs fluorescence imaging, without exogenous fluorophores, across multiple excitation/emission combinations (spectral channels). This produces an image stack where each pixel (matched by location) contains unique information about the sample's spectral properties. Analysis of this data enables access to a rich, molecularly specific data set from a broad range of cell-native fluorophores (autofluorophores) directly reflective of biochemical status, without use of fixation or stains. This non-invasive, non-destructive technology has great potential to spare the collection of biopsies from sensitive regions. As both staining and biopsy may be impossible, or undesirable, depending on the context, this technology great diagnostic potential for clinical decision making. The main research focus has been on the identification of neoplastic tissues. However, advances have been made in diverse applications-including ophthalmology, cardiovascular health, neurology, infection, assisted reproduction technology and organ transplantation.
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Affiliation(s)
- Jared M Campbell
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Sydney, Australia
| | - Saabah B Mahbub
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Sydney, Australia
| | - Abbas Habibalahi
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Sydney, Australia
| | - Adnan Agha
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Sydney, Australia
| | - Shannon Handley
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Sydney, Australia
| | - Ayad G Anwer
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Sydney, Australia
| | - Ewa M Goldys
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Sydney, Australia
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8
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Botelho AR, Silva HF, Martins IS, Carneiro IC, Carvalho SD, Henrique RM, Tuchin VV, Oliveira LM. Fast calculation of spectral optical properties and pigment content detection in human normal and pathological kidney. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 286:122002. [PMID: 36274538 DOI: 10.1016/j.saa.2022.122002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2022] [Revised: 10/11/2022] [Accepted: 10/13/2022] [Indexed: 06/16/2023]
Abstract
A fast calculation method was used to obtain the spectral optical properties of human normal and pathological (chromophobe renal cell carcinoma) kidney tissues. Using total transmittance, total reflectance and collimated transmittance spectra acquired from ex vivo kidney samples, the spectral optical properties of both tissues, namely the absorption, the scattering and the reduced scattering coefficients, as well as the scattering anisotropy, dispersion and light penetration depth, were calculated between 200 and 1000 nm. Analysis of the mean absorption coefficient spectra of the kidney tissues showed that both contain melanin and lipofuscin, and that 83 % of the melanin in the normal kidney converts into lipofuscin in the pathological kidney.
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Affiliation(s)
- Ana R Botelho
- Physics Department, Polytechnic of Porto - School of Engineering (ISEP), Porto, Portugal
| | - Hugo F Silva
- Porto University, School of Engineering, Porto, Portugal
| | - Inês S Martins
- Center for Innovation in Engineering and Industrial Technology, ISEP, Porto, Portugal
| | - Isa C Carneiro
- Department of Pathology and Cancer Biology and Epigenetics Group, Portuguese Oncology Institute of Porto, Porto, Portugal; Department of Pathological, Cytological and Thanatological Anatomy, Polytechnic of Porto - School of Health (ESS), Porto, Portugal
| | - Sónia D Carvalho
- Department of Pathology and Cancer Biology and Epigenetics Group, Portuguese Oncology Institute of Porto, Porto, Portugal; Department of Pathology, Santa Luzia Hospital (ULSAM), Viana do Castelo, Portugal
| | - Rui M Henrique
- Department of Pathology and Cancer Biology and Epigenetics Group, Portuguese Oncology Institute of Porto, Porto, Portugal; Department of Pathology and Molecular Immunology, Porto University - Institute of Biomedical Sciences Abel Salazar, Porto, Portugal
| | - Valery V Tuchin
- Science Medical Center, Saratov State University, Saratov, Russian Federation; Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Tomsk, Russian Federation; Laboratory of Laser Diagnostics of Technical and Living Systems, Institute of Precision Mechanics and Control, FRC "Saratov Research Centre of Russian Academy of Sciences," Saratov, Russian Federation
| | - Luís M Oliveira
- Physics Department, Polytechnic of Porto - School of Engineering (ISEP), Porto, Portugal; Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), Porto, Portugal.
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9
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Martins IS, Silva HF, Lazareva EN, Chernomyrdin NV, Zaytsev KI, Oliveira LM, Tuchin VV. Measurement of tissue optical properties in a wide spectral range: a review [Invited]. BIOMEDICAL OPTICS EXPRESS 2023; 14:249-298. [PMID: 36698664 PMCID: PMC9841994 DOI: 10.1364/boe.479320] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 11/29/2022] [Accepted: 11/29/2022] [Indexed: 06/17/2023]
Abstract
A distinctive feature of this review is a critical analysis of methods and results of measurements of the optical properties of tissues in a wide spectral range from deep UV to terahertz waves. Much attention is paid to measurements of the refractive index of biological tissues and liquids, the knowledge of which is necessary for the effective application of many methods of optical imaging and diagnostics. The optical parameters of healthy and pathological tissues are presented, and the reasons for their differences are discussed, which is important for the discrimination of pathologies and the demarcation of their boundaries. When considering the interaction of terahertz radiation with tissues, the concept of an effective medium is discussed, and relaxation models of the effective optical properties of tissues are presented. Attention is drawn to the manifestation of the scattering properties of tissues in the THz range and the problems of measuring the optical properties of tissues in this range are discussed. In conclusion, a method for the dynamic analysis of the optical properties of tissues under optical clearing using an application of immersion agents is presented. The main mechanisms and technologies of optical clearing, as well as examples of the successful application for differentiation of healthy and pathological tissues, are analyzed.
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Affiliation(s)
- Inês S. Martins
- Center for Innovation in Engineering and Industrial Technology, ISEP, Porto, Portugal
| | - Hugo F. Silva
- Porto University, School of Engineering, Porto, Portugal
| | - Ekaterina N. Lazareva
- Science Medical Center, Saratov State University, Saratov, Russia
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Tomsk, Russia
| | | | - Kirill I. Zaytsev
- Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow, Russia
| | - Luís M. Oliveira
- Physics Department, Polytechnic of Porto – School of Engineering (ISEP), Porto, Portugal
- Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), Porto, Portugal
| | - Valery V. Tuchin
- Science Medical Center, Saratov State University, Saratov, Russia
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Tomsk, Russia
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10
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Tan TCY, Dunning KR. Non-invasive assessment of oocyte developmental competence. Reprod Fertil Dev 2022; 35:39-50. [PMID: 36592982 DOI: 10.1071/rd22217] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Oocyte quality is a key factor influencing IVF success. The oocyte and surrounding cumulus cells, known collectively as the cumulus oocyte complex (COC), communicate bi-directionally and regulate each other's metabolic function to support oocyte growth and maturation. Many studies have attempted to associate metabolic markers with oocyte quality, including metabolites in follicular fluid or 'spent medium' following maturation, gene expression of cumulus cells and measuring oxygen consumption in medium surrounding COCs. However, these methods fail to provide spatial metabolic information on the separate oocyte and cumulus cell compartments. Optical imaging of the autofluorescent cofactors - reduced nicotinamide adenine dinucleotide (phosphate) [NAD(P)H] and flavin adenine dinucleotide (FAD) - has been put forward as an approach to generate spatially resolved measurements of metabolism within individual cells of the COC. The optical redox ratio (FAD/[NAD(P)H+FAD]), calculated from these cofactors, can act as an indicator of overall metabolic activity in the oocyte and cumulus cell compartments. Confocal microscopy, fluorescence lifetime imaging microscopy (FLIM) and hyperspectral microscopy may be used for this purpose. This review provides an overview of current optical imaging techniques that capture the inner biochemistry within cells of the COC and discusses the potential for such imaging to assess oocyte developmental competence.
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Affiliation(s)
- Tiffany C Y Tan
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, SA, Australia
| | - Kylie R Dunning
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, SA, Australia
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11
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Wu HHL, Goldys EM, Pollock CA, Saad S. Exfoliated Kidney Cells from Urine for Early Diagnosis and Prognostication of CKD: The Way of the Future? Int J Mol Sci 2022; 23:7610. [PMID: 35886957 PMCID: PMC9324667 DOI: 10.3390/ijms23147610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 07/07/2022] [Accepted: 07/08/2022] [Indexed: 11/17/2022] Open
Abstract
Chronic kidney disease (CKD) is a global health issue, affecting more than 10% of the worldwide population. The current approach for formal diagnosis and prognostication of CKD typically relies on non-invasive serum and urine biomarkers such as serum creatinine and albuminuria. However, histological evidence of tubulointerstitial fibrosis is the 'gold standard' marker of the likelihood of disease progression. The development of novel biomedical technologies to evaluate exfoliated kidney cells from urine for non-invasive diagnosis and prognostication of CKD presents opportunities to avoid kidney biopsy for the purpose of prognostication. Efforts to apply these technologies more widely in clinical practice are encouraged, given their potential as a cost-effective approach, and no risk of post-biopsy complications such as bleeding, pain and hospitalization. The identification of biomarkers in exfoliated kidney cells from urine via western blotting, enzyme-linked immunosorbent assay (ELISA), immunofluorescence techniques, measurement of cell and protein-specific messenger ribonucleic acid (mRNA)/micro-RNA and other techniques have been reported. Recent innovations such as multispectral autofluorescence imaging and single-cell RNA sequencing (scRNA-seq) have brought additional dimensions to the clinical application of exfoliated kidney cells from urine. In this review, we discuss the current evidence regarding the utility of exfoliated proximal tubule cells (PTC), podocytes, mesangial cells, extracellular vesicles and stem/progenitor cells as surrogate markers for the early diagnosis and prognostication of CKD. Future directions for development within this research area are also identified.
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Affiliation(s)
- Henry H. L. Wu
- Renal Research Laboratory, Kolling Institute of Medical Research, The University of Sydney, Sydney, NSW 2065, Australia; (H.H.L.W.); (C.A.P.)
- School of Biomedical Engineering, The University of New South Wales, Sydney, NSW 2052, Australia;
| | - Ewa M. Goldys
- School of Biomedical Engineering, The University of New South Wales, Sydney, NSW 2052, Australia;
| | - Carol A. Pollock
- Renal Research Laboratory, Kolling Institute of Medical Research, The University of Sydney, Sydney, NSW 2065, Australia; (H.H.L.W.); (C.A.P.)
| | - Sonia Saad
- Renal Research Laboratory, Kolling Institute of Medical Research, The University of Sydney, Sydney, NSW 2065, Australia; (H.H.L.W.); (C.A.P.)
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12
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Habibalahi A, Allende A, Michael J, Anwer AG, Campbell J, Mahbub SB, Bala C, Coroneo MT, Goldys EM. Pterygium and Ocular Surface Squamous Neoplasia: Optical Biopsy Using a Novel Autofluorescence Multispectral Imaging Technique. Cancers (Basel) 2022; 14:1591. [PMID: 35326744 PMCID: PMC8946656 DOI: 10.3390/cancers14061591] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 03/07/2022] [Accepted: 03/11/2022] [Indexed: 02/04/2023] Open
Abstract
In this study, differentiation of pterygium vs. ocular surface squamous neoplasia based on multispectral autofluorescence imaging technique was investigated. Fifty (N = 50) patients with histopathological diagnosis of pterygium (PTG) and/or ocular surface squamous neoplasia (OSSN) were recruited. Fixed unstained biopsy specimens were imaged by multispectral microscopy. Tissue autofluorescence images were obtained with a custom-built fluorescent microscope with 59 spectral channels, each with specific excitation and emission wavelength ranges, suitable for the most abundant tissue fluorophores such as elastin, flavins, porphyrin, and lipofuscin. Images were analyzed using a new classification framework called fused-classification, designed to minimize interpatient variability, as an established support vector machine learning method. Normal, PTG, and OSSN regions were automatically detected and delineated, with accuracy evaluated against expert assessment by a specialist in OSSN pathology. Signals from spectral channels yielding signals from elastin, flavins, porphyrin, and lipofuscin were significantly different between regions classified as normal, PTG, and OSSN (p < 0.01). Differential diagnosis of PTG/OSSN and normal tissue had accuracy, sensitivity, and specificity of 88 ± 6%, 84 ± 10% and 91 ± 6%, respectively. Our automated diagnostic method generated maps of the reasonably well circumscribed normal/PTG and OSSN interface. PTG and OSSN margins identified by our automated analysis were in close agreement with the margins found in the H&E sections. Such a map can be rapidly generated on a real time basis and potentially used for intraoperative assessment.
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Affiliation(s)
- Abbas Habibalahi
- ARC Centre of Excellence for Nanoscale Biophotonics, University of New South Wales, Sydney, NSW 2032, Australia; (J.M.); (A.G.A.); (J.C.); (S.B.M.); (E.M.G.)
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW 2032, Australia
| | - Alexandra Allende
- Douglass Hanly Moir Pathology, Macquarie Park, NSW 2113, Australia;
- Faculty of Medicine and Health Sciences, Macquarie University, Sydney, NSW 2109, Australia
| | - Jesse Michael
- ARC Centre of Excellence for Nanoscale Biophotonics, University of New South Wales, Sydney, NSW 2032, Australia; (J.M.); (A.G.A.); (J.C.); (S.B.M.); (E.M.G.)
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW 2032, Australia
| | - Ayad G. Anwer
- ARC Centre of Excellence for Nanoscale Biophotonics, University of New South Wales, Sydney, NSW 2032, Australia; (J.M.); (A.G.A.); (J.C.); (S.B.M.); (E.M.G.)
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW 2032, Australia
| | - Jared Campbell
- ARC Centre of Excellence for Nanoscale Biophotonics, University of New South Wales, Sydney, NSW 2032, Australia; (J.M.); (A.G.A.); (J.C.); (S.B.M.); (E.M.G.)
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW 2032, Australia
| | - Saabah B. Mahbub
- ARC Centre of Excellence for Nanoscale Biophotonics, University of New South Wales, Sydney, NSW 2032, Australia; (J.M.); (A.G.A.); (J.C.); (S.B.M.); (E.M.G.)
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW 2032, Australia
| | - Chandra Bala
- Department of Ophthalmology, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, NSW 2109, Australia;
| | - Minas T. Coroneo
- Department of Ophthalmology, University of New South Wales at Prince of Wales Hospital, High Street, Randwick, NSW 2031, Australia;
| | - Ewa M. Goldys
- ARC Centre of Excellence for Nanoscale Biophotonics, University of New South Wales, Sydney, NSW 2032, Australia; (J.M.); (A.G.A.); (J.C.); (S.B.M.); (E.M.G.)
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW 2032, Australia
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13
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Campbell JM, Mahbub SB, Bertoldo MJ, Habibalahi A, Goss DM, Ledger WL, Gilchrist RB, Wu LE, Goldys EM. Multispectral autofluorescence characteristics of reproductive aging in old and young mouse oocytes. Biogerontology 2022; 23:237-249. [PMID: 35211812 PMCID: PMC9023381 DOI: 10.1007/s10522-022-09957-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Accepted: 02/14/2022] [Indexed: 12/16/2022]
Abstract
Increasing age has a major detrimental impact on female fertility, which, with an ageing population, has major sociological implications. This impact is primarily mediated through deteriorating quality of the oocyte. Deteriorating oocyte quality with biological age is the greatest rate-limiting factor to female fertility. Here we have used label-free, non-invasive multi-spectral imaging to identify unique autofluorescence profiles of oocytes from young and aged animals. Discriminant analysis demonstrated that young oocytes have a distinct autofluorescent profile which accurately distinguishes them from aged oocytes. We recently showed that treatment with the nicotinamide adenine dinucleotide (NAD+) precursor nicotinamide mononucleotide (NMN) restored oocyte quality and fertility in aged animals, and when our analysis was applied to oocytes from aged animals treated with NMN, 85% of these oocytes were classified as having the autofluorescent signature of young animals. Spectral unmixing using the Robust Dependent Component Analysis (RoDECA) algorithm demonstrated that NMN treatment altered the metabolic profile of oocytes, increasing free NAD(P)H, protein bound NAD(P)H, redox ratio and the ratio of bound to free NAD(P)H. The frequency of oocytes with simultaneously high NAD(P)H and flavin content was also significantly increased in mice treated with NMN. Young and Aged + NMN oocytes had a smoother spectral distribution, with the distribution of NAD(P)H in young oocytes specifically differing from that of aged oocytes. Identifying the multispectral profile of oocyte autofluorescence during aging could have utility as a non-invasive and sensitive measure of oocyte quality.
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Affiliation(s)
- Jared M Campbell
- ARC Centre of Excellence Centre for Nanoscale Biophotonics, Graduate School of Biomedical Engineering, University of New South Wales Sydney, Kensington, Sydney, NSW, 2052, Australia.
| | - Saabah B Mahbub
- ARC Centre of Excellence Centre for Nanoscale Biophotonics, Graduate School of Biomedical Engineering, University of New South Wales Sydney, Kensington, Sydney, NSW, 2052, Australia
| | - Michael J Bertoldo
- Discipline of Women's Health, School of Clinical Medicine, University of New South Wales Sydney, Sydney, Australia
- School of Medical Sciences, University of New South Wales Sydney, Sydney, Australia
| | - Abbas Habibalahi
- ARC Centre of Excellence Centre for Nanoscale Biophotonics, Graduate School of Biomedical Engineering, University of New South Wales Sydney, Kensington, Sydney, NSW, 2052, Australia
| | - Dale M Goss
- School of Medical Sciences, University of New South Wales Sydney, Sydney, Australia
| | - William L Ledger
- Discipline of Women's Health, School of Clinical Medicine, University of New South Wales Sydney, Sydney, Australia
| | - Robert B Gilchrist
- Discipline of Women's Health, School of Clinical Medicine, University of New South Wales Sydney, Sydney, Australia
| | - Lindsay E Wu
- School of Medical Sciences, University of New South Wales Sydney, Sydney, Australia
| | - Ewa M Goldys
- ARC Centre of Excellence Centre for Nanoscale Biophotonics, Graduate School of Biomedical Engineering, University of New South Wales Sydney, Kensington, Sydney, NSW, 2052, Australia
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14
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Fast Estimation of the Spectral Optical Properties of Rabbit Pancreas and Pigment Content Analysis. PHOTONICS 2022. [DOI: 10.3390/photonics9020122] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
The pancreas is a highly important organ, since it produces insulin and prevents the occurrence of diabetes. Although rare, pancreatic cancer is highly lethal, with a small life expectancy after being diagnosed. The pancreas is one of the organs less studied in the field of biophotonics. With the objective of acquiring information that can be used in the development of future applications to diagnose and treat pancreas diseases, the spectral optical properties of the rabbit pancreas were evaluated in a broad-spectral range, between 200 and 1000 nm. The method used to obtain such optical properties is simple, based almost on direct calculations from spectral measurements. The optical properties obtained show similar wavelength dependencies to the ones obtained for other tissues, but a further analysis on the spectral absorption coefficient showed that the pancreas tissues contain pigments, namely melanin, and lipofuscin. Using a simple calculation, it was possible to retrieve similar contents of these pigments from the absorption spectrum of the pancreas, which indicates that they accumulate in the same proportion as a result of the aging process. Such pigment accumulation was camouflaging the real contents of DNA, hemoglobin, and water, which were precisely evaluated after subtracting the pigment absorption.
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15
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Xu Z, Xie X, Li R, Yu K, Lish SR, Xu M. Information entropy of quantitative chemometric endogenous fluorescence improves photonic lung cancer diagnosis. APPLIED OPTICS 2022; 61:478-484. [PMID: 35200886 DOI: 10.1364/ao.439458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 12/08/2021] [Indexed: 06/14/2023]
Abstract
Quantitative chemometric widefield endogenous fluorescence microscopy (CFM) maps the endogenous absolute chromophore concentration and spatial distribution in cells and tissue sections label-free from fluorescence color images under broadband excitation and detection. By quantifying the endogenous chromophores, including tryptophan, elastin, reduced nicotinamide adenine dinucleotide [NAD(P)H], and flavin adenine dinucleotide (FAD), CFM reveals the biochemical environment and subcellular structure. Here we show that the chromophore information entropy, marking its spatial distribution pattern of quantitative chemometric endogenous fluorescence at the microscopic scale, improves photonic lung cancer diagnosis with independent diagnostic power to the cellular metabolism biomarker. NAD(P)H and FAD's information entropy is found to decrease from normal to perilesional to cancerous tissue, whereas the information entropy for the redox ratios [FAD/tryptophan and FAD/NAD(P)H] is smaller for the normal tissue than both perilesional and cancerous tissue. CFM imaging of the specimen's inherent biochemical and structural properties eliminates the dependence on measurement details and facilitates robust, accurate diagnosis. The synergy of quantifying absolute chromophore concentration and information entropy achieves high accuracies for a three-class classification of lung tissue into normal, perilesional, and cancerous ones and a three-class classification of lung cancers into grade 1, grade 2, and grade 3 using a support vector machine, outperforming the chromophore concentration biomarkers.
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16
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Głowacz K, Skorupska S, Grabowska-Jadach I, Ciosek-Skibińska P. Excitation–emission matrix fluorescence spectroscopy for cell viability testing in UV-treated cell culture. RSC Adv 2022; 12:7652-7660. [PMID: 35424724 PMCID: PMC8982211 DOI: 10.1039/d1ra09021f] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 02/25/2022] [Indexed: 02/02/2023] Open
Abstract
Monitoring of cells viability is essential in a number of biomedical applications, including cell-based sensors, cell-based microsystems, and cell-based assays. The use of spectroscopic techniques for such purposes is especially advantageous since they are non-invasive, label-free, and non-destructive. However, such an approach must include chemometric analysis of the data to assess the information on cells viability. In the presented article we demonstrate, that excitation–emission matrix (EEM) fluorescence spectroscopy can be applied for reliable determination of cells viability due to the high correlation of EEM fluorescence data with the MTT test data. A375 cells (malignant melanoma) were exposed to UV radiation as a physical stress factor, resulting in a decrease of viability up to ca. 20%, confirmed by the standard MTT test. They were also characterized by means of EEM fluorescence spectroscopy coupled with unfolded partial least squares (UPLS) regression. Statistical evaluation revealed high accordance of the two methods of viability testing in terms of accuracy, precision, and correlation. The presented results are very promising for the development of spectroscopic soft sensors that can be applied for drug screening, biocompatibility testing, tissue engineering, and pharmacodynamic studies. Excitation-emission matrix fluorescence spectroscopy can be applied for label-free and non-destructive determination of cells viability, which is promising methodology for drug screening, biocompatibility testing, or pharmacodynamic studies.![]()
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Affiliation(s)
- Klaudia Głowacz
- Chair of Medical Biotechnology, Faculty of Chemistry, Warsaw University of Technology, Noakowskiego 3, 00-664 Warsaw, Poland
| | - Sandra Skorupska
- Chair of Medical Biotechnology, Faculty of Chemistry, Warsaw University of Technology, Noakowskiego 3, 00-664 Warsaw, Poland
| | - Ilona Grabowska-Jadach
- Chair of Medical Biotechnology, Faculty of Chemistry, Warsaw University of Technology, Noakowskiego 3, 00-664 Warsaw, Poland
| | - Patrycja Ciosek-Skibińska
- Chair of Medical Biotechnology, Faculty of Chemistry, Warsaw University of Technology, Noakowskiego 3, 00-664 Warsaw, Poland
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17
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Tan TCY, Mahbub SB, Campbell JM, Habibalahi A, Campugan CA, Rose RD, Chow DJX, Mustafa S, Goldys EM, Dunning KR. Non-invasive, label-free optical analysis to detect aneuploidy within the inner cell mass of the preimplantation embryo. Hum Reprod 2021; 37:14-29. [PMID: 34741175 DOI: 10.1093/humrep/deab233] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2020] [Revised: 09/28/2021] [Indexed: 11/13/2022] Open
Abstract
STUDY QUESTION Can label-free, non-invasive optical imaging by hyperspectral autofluorescence microscopy discern between euploid and aneuploid cells within the inner cell mass (ICM) of the mouse preimplantation embryo? SUMMARY ANSWER Hyperspectral autofluorescence microscopy enables discrimination between euploid and aneuploid ICM in mouse embryos. WHAT IS KNOWN ALREADY Euploid/aneuploid mosaicism affects up to 17.3% of human blastocyst embryos with trophectoderm biopsy or spent media currently utilized to diagnose aneuploidy and mosaicism in clinical in vitro fertilization. Based on their design, these approaches will fail to diagnose the presence or proportion of aneuploid cells within the foetal lineage ICM of some blastocyst embryos. STUDY DESIGN, SIZE, DURATION The impact of aneuploidy on cellular autofluorescence and metabolism of primary human fibroblast cells and mouse embryos was assessed using a fluorescence microscope adapted for imaging with multiple spectral channels (hyperspectral imaging). Primary human fibroblast cells with known ploidy were subjected to hyperspectral imaging to record native cell fluorescence (4-6 independent replicates, euploid n = 467; aneuploid n = 969). For mouse embryos, blastomeres from the eight-cell stage (five independent replicates: control n = 39; reversine n = 44) and chimeric blastocysts (eight independent replicates: control n = 34; reversine n = 34; 1:1 (control:reversine) n = 30 and 1:3 (control:reversine) n = 37) were utilized for hyperspectral imaging. The ICM from control and reversine-treated embryos were mechanically dissected and their karyotype confirmed by whole genome sequencing (n = 13 euploid and n = 9 aneuploid). PARTICIPANTS/MATERIALS, SETTING, METHODS Two models were employed: (i) primary human fibroblasts with known karyotype and (ii) a mouse model of embryo aneuploidy where mouse embryos were treated with reversine, a reversible spindle assembly checkpoint inhibitor, during the four- to eight-cell division. Individual blastomeres were dissociated from control and reversine-treated eight-cell embryos and either imaged directly or used to generate chimeric blastocysts with differing ratios of control:reversine-treated cells. Individual blastomeres and embryos were interrogated by hyperspectral imaging. Changes in cellular metabolism were determined by quantification of metabolic co-factors (inferred from their autofluorescence signature): NAD(P)H and flavins with the subsequent calculation of the optical redox ratio (ORR: flavins/[NAD(P)H + flavins]). Autofluorescence signals obtained from hyperspectral imaging were examined mathematically to extract features from each cell/blastomere/ICM. This was used to discriminate between different cell populations. MAIN RESULTS AND THE ROLE OF CHANCE An increase in the relative abundance of NAD(P)H and decrease in flavins led to a significant reduction in the ORR for aneuploid cells in primary human fibroblasts and reversine-treated mouse blastomeres (P < 0.05). Mathematical analysis of endogenous cell autofluorescence achieved separation between (i) euploid and aneuploid primary human fibroblast cells, (ii) control and reversine-treated mouse blastomeres cells, (iii) control and reversine-treated chimeric blastocysts, (iv) 1:1 and 1:3 chimeric blastocysts and (v) confirmed euploid and aneuploid ICM from mouse blastocysts. The accuracy of these separations was supported by receiver operating characteristic curves with areas under the curve of 0.97, 0.99, 0.87, 0.88 and 0.93, respectively. We believe that the role of chance is low as mathematical features separated euploid from aneuploid in both human fibroblasts and ICM of mouse blastocysts. LARGE SCALE DATA N/A. LIMITATIONS, REASONS FOR CAUTION Although we were able to discriminate between euploid and aneuploid ICM in mouse blastocysts, confirmation of this approach in human embryos is required. While we show this approach is safe in mouse, further validation is required in large animal species prior to implementation in a clinical setting. WIDER IMPLICATIONS OF THE FINDINGS We have developed an original, accurate and non-invasive optical approach to assess aneuploidy within the ICM of mouse embryos in the absence of fluorescent tags. Hyperspectral autofluorescence imaging was able to discriminate between euploid and aneuploid human fibroblast and mouse blastocysts (ICM). This approach may potentially lead to a new diagnostic for embryo analysis. STUDY FUNDING/COMPETING INTEREST(S) K.R.D. is supported by a Mid-Career Fellowship from the Hospital Research Foundation (C-MCF-58-2019). This study was funded by the Australian Research Council Centre of Excellence for Nanoscale Biophotonics (CE140100003) and the National Health and Medical Research Council (APP2003786). The authors declare that there is no conflict of interest.
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Affiliation(s)
- Tiffany C Y Tan
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, SA, Australia.,Australian Research Council Centre of Excellence for Nanoscale Biophotonics, The University of Adelaide, Adelaide, SA, Australia
| | - Saabah B Mahbub
- The Graduate School of Biomedical Engineering, University of New South Wales, Sydney, Kensington, NSW, Australia.,Australian Research Council Centre of Excellence Centre for Nanoscale Biophotonics, University of New South Wales, Kensington, NSW, Australia
| | - Jared M Campbell
- The Graduate School of Biomedical Engineering, University of New South Wales, Sydney, Kensington, NSW, Australia.,Australian Research Council Centre of Excellence Centre for Nanoscale Biophotonics, University of New South Wales, Kensington, NSW, Australia
| | - Abbas Habibalahi
- The Graduate School of Biomedical Engineering, University of New South Wales, Sydney, Kensington, NSW, Australia.,Australian Research Council Centre of Excellence Centre for Nanoscale Biophotonics, University of New South Wales, Kensington, NSW, Australia
| | - Carl A Campugan
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, SA, Australia.,Australian Research Council Centre of Excellence for Nanoscale Biophotonics, The University of Adelaide, Adelaide, SA, Australia
| | - Ryan D Rose
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, SA, Australia.,Fertility SA, St. Andrews Hospital, Adelaide, SA, Australia
| | - Darren J X Chow
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, SA, Australia.,Australian Research Council Centre of Excellence for Nanoscale Biophotonics, The University of Adelaide, Adelaide, SA, Australia
| | - Sanam Mustafa
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, SA, Australia.,Australian Research Council Centre of Excellence for Nanoscale Biophotonics, The University of Adelaide, Adelaide, SA, Australia
| | - Ewa M Goldys
- The Graduate School of Biomedical Engineering, University of New South Wales, Sydney, Kensington, NSW, Australia.,Australian Research Council Centre of Excellence Centre for Nanoscale Biophotonics, University of New South Wales, Kensington, NSW, Australia
| | - Kylie R Dunning
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, SA, Australia.,Australian Research Council Centre of Excellence for Nanoscale Biophotonics, The University of Adelaide, Adelaide, SA, Australia
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18
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Gosnell ME, Staikopoulos V, Anwer AG, Mahbub SB, Hutchinson MR, Mustafa S, Goldys EM. Autofluorescent imprint of chronic constriction nerve injury identified by deep learning. Neurobiol Dis 2021; 160:105528. [PMID: 34626794 DOI: 10.1016/j.nbd.2021.105528] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 10/01/2021] [Accepted: 10/04/2021] [Indexed: 01/21/2023] Open
Abstract
Our understanding of chronic pain and the underlying molecular mechanisms remains limited due to a lack of tools to identify the complex phenomena responsible for exaggerated pain behaviours. Furthermore, currently there is no objective measure of pain with current assessment relying on patient self-scoring. Here, we applied a fully biologically unsupervised technique of hyperspectral autofluorescence imaging to identify a complex signature associated with chronic constriction nerve injury known to cause allodynia. The analysis was carried out using deep learning/artificial intelligence methods. The central element was a deep learning autoencoder we developed to condense the hyperspectral channel images into a four- colour image, such that spinal cord tissue based on nerve injury status could be differentiated from control tissue. This study provides the first validation of hyperspectral imaging as a tool to differentiate tissues from nerve injured vs non-injured mice. The auto-fluorescent signals associated with nerve injury were not diffuse throughout the tissue but formed specific microscopic size regions. Furthermore, we identified a unique fluorescent signal that could differentiate spinal cord tissue isolated from nerve injured male and female animals. The identification of a specific global autofluorescence fingerprint associated with nerve injury and resultant neuropathic pain opens up the exciting opportunity to develop a diagnostic tool for identifying novel contributors to pain in individuals.
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Affiliation(s)
- Martin E Gosnell
- Quantitative Pty Ltd, 118 Great Western Highway, Mount Victoria, NSW 2786, Australia
| | - Vasiliki Staikopoulos
- ARC Centre of Excellence for Nanoscale Biophotonics, University of Adelaide, Adelaide 5005, Australia; Adelaide Medical School, University of Adelaide, Adelaide 5005, Australia
| | - Ayad G Anwer
- ARC Centre of Excellence for Nanoscale Biophotonics, UNSW Sydney, NSW 2052, Australia; Graduate School of Biomedical Engineering, UNSW Sydney, NSW 2052, Australia
| | - Saabah B Mahbub
- ARC Centre of Excellence for Nanoscale Biophotonics, UNSW Sydney, NSW 2052, Australia; Graduate School of Biomedical Engineering, UNSW Sydney, NSW 2052, Australia
| | - Mark R Hutchinson
- ARC Centre of Excellence for Nanoscale Biophotonics, University of Adelaide, Adelaide 5005, Australia; Adelaide Medical School, University of Adelaide, Adelaide 5005, Australia
| | - Sanam Mustafa
- ARC Centre of Excellence for Nanoscale Biophotonics, University of Adelaide, Adelaide 5005, Australia; Adelaide Medical School, University of Adelaide, Adelaide 5005, Australia
| | - Ewa M Goldys
- ARC Centre of Excellence for Nanoscale Biophotonics, UNSW Sydney, NSW 2052, Australia; Graduate School of Biomedical Engineering, UNSW Sydney, NSW 2052, Australia.
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19
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Analyzing Olfactory Neuron Precursors Non-Invasively Isolated through NADH FLIM as a Potential Tool to Study Oxidative Stress in Alzheimer's Disease. Int J Mol Sci 2021; 22:ijms22126311. [PMID: 34204595 PMCID: PMC8231156 DOI: 10.3390/ijms22126311] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 04/29/2021] [Accepted: 04/29/2021] [Indexed: 12/22/2022] Open
Abstract
Among all the proposed pathogenic mechanisms to understand the etiology of Alzheimer’s disease (AD), increased oxidative stress seems to be a robust and early disease feature where many of those hypotheses converge. However, despite the significant lines of evidence accumulated, an effective diagnosis and treatment of AD are not yet available. This limitation might be partially explained by the use of cellular and animal models that recapitulate partial aspects of the disease and do not account for the particular biology of patients. As such, cultures of patient-derived cells of peripheral origin may provide a convenient solution for this problem. Peripheral cells of neuronal lineage such as olfactory neuronal precursors (ONPs) can be easily cultured through non-invasive isolation, reproducing AD-related oxidative stress. Interestingly, the autofluorescence of key metabolic cofactors such as reduced nicotinamide adenine dinucleotide (NADH) can be highly correlated with the oxidative state and antioxidant capacity of cells in a non-destructive and label-free manner. In particular, imaging NADH through fluorescence lifetime imaging microscopy (FLIM) has greatly improved the sensitivity in detecting oxidative shifts with minimal intervention to cell physiology. Here, we discuss the translational potential of analyzing patient-derived ONPs non-invasively isolated through NADH FLIM to reveal AD-related oxidative stress. We believe this approach may potentially accelerate the discovery of effective antioxidant therapies and contribute to early diagnosis and personalized monitoring of this devastating disease.
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20
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Non-invasive assessment of exfoliated kidney cells extracted from urine using multispectral autofluorescence features. Sci Rep 2021; 11:10655. [PMID: 34017033 PMCID: PMC8138006 DOI: 10.1038/s41598-021-89758-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Accepted: 04/30/2021] [Indexed: 11/22/2022] Open
Abstract
Optimally preserved urinary exfoliated renal proximal tubule cells were assessed by multispectral imaging of cell autofluorescence. We demonstrated different multispectral autofluorescence signals in such cells extracted from the urine of patients with healthy or diseased kidneys. Using up to 10 features, we were able to differentiate cells from individuals with heathy kidneys and impaired renal function (indicated by estimated glomerular filtration rate (eGFR) values) with the receiver operating characteristic area under the curve (AUC) of 0.99. Using the same method, we were also able to discriminate such urine cells from patients with and without renal fibrosis on biopsy, where significant differences in multispectral autofluorescence signals (AUC = 0.90) were demonstrated between healthy and diseased patients (p < 0.05). These findings show that multispectral assessment of the cell autofluorescence in urine exfoliated proximal tubule kidney cells has the potential to be developed as a sensitive, non-invasive diagnostic method for CKD.
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21
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Bertoldo MJ, Listijono DR, Ho WHJ, Riepsamen AH, Goss DM, Richani D, Jin XL, Mahbub S, Campbell JM, Habibalahi A, Loh WGN, Youngson NA, Maniam J, Wong ASA, Selesniemi K, Bustamante S, Li C, Zhao Y, Marinova MB, Kim LJ, Lau L, Wu RM, Mikolaizak AS, Araki T, Le Couteur DG, Turner N, Morris MJ, Walters KA, Goldys E, O'Neill C, Gilchrist RB, Sinclair DA, Homer HA, Wu LE. NAD + Repletion Rescues Female Fertility during Reproductive Aging. Cell Rep 2021; 30:1670-1681.e7. [PMID: 32049001 PMCID: PMC7063679 DOI: 10.1016/j.celrep.2020.01.058] [Citation(s) in RCA: 167] [Impact Index Per Article: 55.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Revised: 11/03/2019] [Accepted: 01/17/2020] [Indexed: 12/31/2022] Open
Abstract
Reproductive aging in female mammals is an irreversible process associated with declining oocyte quality, which is the rate-limiting factor to fertility. Here, we show that this loss of oocyte quality with age accompanies declining levels of the prominent metabolic cofactor nicotinamide adenine dinucleotide (NAD+). Treatment with the NAD+ metabolic precursor nicotinamide mononucleotide (NMN) rejuvenates oocyte quality in aged animals, leading to restoration in fertility, and this can be recapitulated by transgenic overexpression of the NAD+-dependent deacylase SIRT2, though deletion of this enzyme does not impair oocyte quality. These benefits of NMN extend to the developing embryo, where supplementation reverses the adverse effect of maternal age on developmental milestones. These findings suggest that late-life restoration of NAD+ levels represents an opportunity to rescue female reproductive function in mammals. Declining oocyte quality is considered an irreversible feature of aging and is rate limiting for human fertility. Bertoldo et al. show that reversing an age-dependent decline in NAD(P)H restores oocyte quality, embryo development, and functional fertility in aged mice. These findings may be relevant to reproductive medicine.
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Affiliation(s)
- Michael J Bertoldo
- School of Medical Sciences, UNSW Sydney, Sydney, NSW, Australia; School of Women's and Children's Health, UNSW Sydney, Sydney, NSW, Australia
| | - Dave R Listijono
- School of Medical Sciences, UNSW Sydney, Sydney, NSW, Australia; School of Women's and Children's Health, UNSW Sydney, Sydney, NSW, Australia
| | - Wing-Hong Jonathan Ho
- School of Medical Sciences, UNSW Sydney, Sydney, NSW, Australia; School of Women's and Children's Health, UNSW Sydney, Sydney, NSW, Australia
| | | | - Dale M Goss
- School of Medical Sciences, UNSW Sydney, Sydney, NSW, Australia
| | - Dulama Richani
- School of Women's and Children's Health, UNSW Sydney, Sydney, NSW, Australia
| | - Xing L Jin
- Human Reproduction Unit, Kolling Institute, Sydney Medical School, University of Sydney, St Leonards, NSW, Australia
| | - Saabah Mahbub
- ARC Centre of Excellence in Nanoscale Biophotonics, UNSW Sydney, NSW, Australia
| | - Jared M Campbell
- ARC Centre of Excellence in Nanoscale Biophotonics, UNSW Sydney, NSW, Australia
| | - Abbas Habibalahi
- ARC Centre of Excellence in Nanoscale Biophotonics, UNSW Sydney, NSW, Australia
| | | | - Neil A Youngson
- School of Medical Sciences, UNSW Sydney, Sydney, NSW, Australia
| | - Jayanthi Maniam
- School of Medical Sciences, UNSW Sydney, Sydney, NSW, Australia
| | - Ashley S A Wong
- School of Medical Sciences, UNSW Sydney, Sydney, NSW, Australia
| | - Kaisa Selesniemi
- Paul F. Glenn Laboratories for the Biological Mechanisms of Aging, Harvard Medical School, Boston MA, USA; Jumpstart Fertility Pty Ltd., Sydney, NSW, Australia
| | - Sonia Bustamante
- Bioanalytical Mass Spectrometry Facility, Mark Wainwright Analytical Centre, UNSW Sydney, Sydney, NSW, Australia
| | - Catherine Li
- School of Medical Sciences, UNSW Sydney, Sydney, NSW, Australia
| | - Yiqing Zhao
- School of Women's and Children's Health, UNSW Sydney, Sydney, NSW, Australia
| | - Maria B Marinova
- School of Women's and Children's Health, UNSW Sydney, Sydney, NSW, Australia
| | - Lynn-Jee Kim
- School of Medical Sciences, UNSW Sydney, Sydney, NSW, Australia
| | - Laurin Lau
- School of Women's and Children's Health, UNSW Sydney, Sydney, NSW, Australia
| | - Rachael M Wu
- Graduate Entry Medical School, University of Limerick, Limerick, Republic of Ireland
| | | | - Toshiyuki Araki
- Department of Peripheral Nervous System Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - David G Le Couteur
- ANZAC Medical Research Institute, University of Sydney, Concord, NSW, Australia
| | - Nigel Turner
- School of Medical Sciences, UNSW Sydney, Sydney, NSW, Australia
| | | | - Kirsty A Walters
- School of Women's and Children's Health, UNSW Sydney, Sydney, NSW, Australia
| | - Ewa Goldys
- ARC Centre of Excellence in Nanoscale Biophotonics, UNSW Sydney, NSW, Australia
| | - Christopher O'Neill
- Human Reproduction Unit, Kolling Institute, Sydney Medical School, University of Sydney, St Leonards, NSW, Australia
| | - Robert B Gilchrist
- School of Women's and Children's Health, UNSW Sydney, Sydney, NSW, Australia
| | - David A Sinclair
- School of Medical Sciences, UNSW Sydney, Sydney, NSW, Australia; Paul F. Glenn Laboratories for the Biological Mechanisms of Aging, Harvard Medical School, Boston MA, USA.
| | - Hayden A Homer
- School of Women's and Children's Health, UNSW Sydney, Sydney, NSW, Australia; Christopher Chen Oocyte Biology Laboratory, University of Queensland Centre for Clinical Research, Royal Brisbane & Women's Hospital, Herston, QLD, Australia.
| | - Lindsay E Wu
- School of Medical Sciences, UNSW Sydney, Sydney, NSW, Australia.
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22
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Rehman AU, Qureshi SA. A review of the medical hyperspectral imaging systems and unmixing algorithms' in biological tissues. Photodiagnosis Photodyn Ther 2020; 33:102165. [PMID: 33383204 DOI: 10.1016/j.pdpdt.2020.102165] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 12/18/2020] [Accepted: 12/21/2020] [Indexed: 01/27/2023]
Abstract
Hyperspectral fluorescence imaging (HFI) is a well-known technique in the medical research field and is considered a non-invasive tool for tissue diagnosis. This review article gives a brief introduction to acquisition methods, including the image preprocessing methods, feature selection and extraction methods, data classification techniques and medical image analysis along with recent relevant references. The process of fusion of unsupervised unmixing techniques with other classification methods, like the combination of support vector machine with an artificial neural network, the latest snapshot Hyperspectral imaging (HSI) and vortex analysis techniques are also outlined. Finally, the recent applications of hyperspectral images in cellular differentiation of various types of cancer are discussed.
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Affiliation(s)
- Aziz Ul Rehman
- Agri & Biophotonics Division, National Institute of Lasers and Optronics College, PIEAS, 45650, Islamabad, Pakistan; Department of Physics and Astronomy Macquarie University, Sydney, 2109, New South Wales, Australia.
| | - Shahzad Ahmad Qureshi
- Department of Computer and Information Sciences, Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabad, 45650, Pakistan
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23
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Optical imaging of cleavage stage bovine embryos using hyperspectral and confocal approaches reveals metabolic differences between on-time and fast-developing embryos. Theriogenology 2020; 159:60-68. [PMID: 33113445 DOI: 10.1016/j.theriogenology.2020.10.012] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 10/07/2020] [Accepted: 10/07/2020] [Indexed: 01/15/2023]
Abstract
The assessment of embryo quality aims to enhance subsequent pregnancy and live birth outcomes. Metabolic analysis of embryos has immense potential in this regard. As a step towards this goal, here we assess the metabolism of bovine embryos using label-free optical imaging. We compared embryos defined as either on-time or fast-developing, as fast dividing embryos are more likely to develop to the blastocyst stage. Specifically, bovine embryos at 48 (Day 2) and 96 (Day 4) hours post fertilization were fixed and separated based on morphological assessment: on-time (Day 2: 2 cell; Day 4: 5-7 cell) or fast-developing (Day 2: 3-7 cell; Day 4: 8-16 cell). Embryos with different developmental rates on Day 2 and Day 4 were correlated with metabolic activity and DNA damage. Confocal microscopy was used to assess metabolic activity by quantification of cellular autofluorescence specific for the endogenous fluorophores NAD(P)H and FAD with a subsequent calculation of the optical redox ratio. Separately, hyperspectral microscopy was employed to assess a broader range of endogenous fluorophores. DNA damage was determined using γH2AX immunohistochemistry. Hyperspectral imaging showed significantly lower abundance of endogenous fluorophores in fast-developing compared to on-time embryos on Day 2, indicating a lower metabolic activity. On Day 4 of development there was no difference in the abundance of FAD between on-time and fast-developing embryos. There was, however, significantly higher levels of NAD(P)H in fast-developing embryos leading to a significantly lower optical redox ratio when compared to on-time embryos. Collectively, these results demonstrate that fast-developing embryos present a 'quiet' metabolic pattern on Day 2 and Day 4 of development, compared to on-time embryos. There was no difference in the level of DNA damage between on-time and fast-developing embryos on either day of development. To our knowledge, this is the first collective use of confocal and hyperspectral imaging in cleavage-stage bovine embryos in the absence of fluorescent tags.
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24
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Campbell JM, Mahbub S, Habibalahi A, Paton S, Gronthos S, Goldys E. Ageing human bone marrow mesenchymal stem cells have depleted NAD(P)H and distinct multispectral autofluorescence. GeroScience 2020; 43:859-868. [PMID: 32789662 PMCID: PMC8110641 DOI: 10.1007/s11357-020-00250-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 08/06/2020] [Indexed: 12/26/2022] Open
Abstract
Stem cell exhaustion plays a major role in the ageing of different tissues. Similarly, in vitro cell ageing during expansion prior to their use in regenerative medicine can severely compromise stem cell quality through progressive declines in differentiation and growth capacity. We utilized non-destructive multispectral assessment of native cell autofluorescence to investigate the metabolic mechanisms of in vitro mesenchymal stem cell (MSC) ageing in human bone marrow MSCs over serial passages (P2-P10). The spectral signals for NAD(P)H, flavins and protein-bound NAD(P)H were successfully isolated using Robust Dependent Component Analysis (RoDECA). NAD(P)H decreased over the course of hMSC ageing in absolute terms as well as relative to flavins (optical redox ratio). Relative changes in other fluorophore levels (flavins, protein-bound NAD(P)H) suggested that this reduction was due to nicotinamide adenine dinucleotide depletion rather than a metabolic shift from glycolysis to oxidative phosphorylation. Using multispectral features, which are determined without cell fixation or fluorescent labelling, we developed and externally validated a reliable, linear model which could accurately categorize the age of culture-expanded hMSCs. The largest shift in spectral characteristics occurs early in hMSC ageing. These findings demonstrate the feasibility of applying multispectral technology for the non-invasive monitoring of MSC health in vitro.
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Affiliation(s)
- Jared M Campbell
- ARC Centre of Excellence in Nanoscale Biophotonics, Graduate School of Biomedical Engineering, The University of New South Wales, Sydney, New South Wales, 2052, Australia. .,The University of New South Wales, Sydney, New South Wales, 2052, Australia.
| | - Saabah Mahbub
- ARC Centre of Excellence in Nanoscale Biophotonics, Graduate School of Biomedical Engineering, The University of New South Wales, Sydney, New South Wales, 2052, Australia.,The University of New South Wales, Sydney, New South Wales, 2052, Australia
| | - Abbas Habibalahi
- ARC Centre of Excellence in Nanoscale Biophotonics, Graduate School of Biomedical Engineering, The University of New South Wales, Sydney, New South Wales, 2052, Australia.,The University of New South Wales, Sydney, New South Wales, 2052, Australia
| | - Sharon Paton
- Mesenchymal Stem Cell Laboratory, Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, South Australia, 5000, Australia.,South Australian Health and Medical Research Institute, Adelaide, South Australia, 5000, Australia
| | - Stan Gronthos
- Mesenchymal Stem Cell Laboratory, Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, South Australia, 5000, Australia.,South Australian Health and Medical Research Institute, Adelaide, South Australia, 5000, Australia
| | - Ewa Goldys
- ARC Centre of Excellence in Nanoscale Biophotonics, Graduate School of Biomedical Engineering, The University of New South Wales, Sydney, New South Wales, 2052, Australia.,The University of New South Wales, Sydney, New South Wales, 2052, Australia
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25
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Habibalahi A, Moghari MD, Campbell JM, Anwer AG, Mahbub SB, Gosnell M, Saad S, Pollock C, Goldys EM. Non-invasive real-time imaging of reactive oxygen species (ROS) using auto-fluorescence multispectral imaging technique: A novel tool for redox biology. Redox Biol 2020; 34:101561. [PMID: 32526699 PMCID: PMC7287272 DOI: 10.1016/j.redox.2020.101561] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Revised: 04/23/2020] [Accepted: 04/27/2020] [Indexed: 02/06/2023] Open
Abstract
Detecting reactive oxygen species (ROS) that play a critical role as redox modulators and signalling molecules in biological systems currently requires invasive methods such as ROS -specific indicators for imaging and quantification. We developed a non-invasive, real-time, label-free imaging technique for assessing the level of ROS in live cells and thawed cryopreserved tissues that is compatible with in-vivo imaging. The technique is based on autofluorescence multispectral imaging (AFMI) carried out in an adapted fluorescence microscope with an expanded number of spectral channels spanning specific excitation (365 nm-495 nm) and emission (420 nm-700 nm) wavelength ranges. We established a strong quantitative correlation between the spectral information obtained from AFMI and the level of ROS obtained from CellROX staining. The results were obtained in several cell types (HeLa, PANC1 and mesenchymal stem cells) and in live kidney tissue. Additioanly,two spectral regimes were considered: with and without UV excitation (wavelengths > 400 nm); the latter being suitable for UV-sensitive systems such as the eye. Data were analyzed by linear regression combined with an optimization method of swarm intelligence. This allowed the calibration of AFMI signals to the level of ROS with excellent correlation (R = 0.84, p = 0.00) in the entire spectral range and very good correlation (R = 0.78, p = 0.00) in the limited, UV-free spectral range. We also developed a strong classifier which allowed us to distinguish moderate and high levels of ROS in these two regimes (AUC = 0.91 in the entire spectral range and AUC = 0.78 for UV-free imaging). These results indicate that ROS in cells and tissues can be imaged non-invasively, which opens the way to future clinical applications in conditions where reactive oxygen species are known to contribute to progressive disease such as in ophthalmology, diabetes, kidney disease, cancer and neurodegenerative diseases.
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Affiliation(s)
- Abbas Habibalahi
- ARC Centre of Excellence Centre for Nanoscale Biophotonics, University of New South Wales, Kensington, 2052, NSW, Australia.
| | - Mahdieh Dashtbani Moghari
- School of Biomedical Engineering, Faculty of Engineering, Darlington Campus, The University of Sydney, NSW, 2006, Australia
| | - Jared M Campbell
- ARC Centre of Excellence Centre for Nanoscale Biophotonics, University of New South Wales, Kensington, 2052, NSW, Australia
| | - Ayad G Anwer
- ARC Centre of Excellence Centre for Nanoscale Biophotonics, University of New South Wales, Kensington, 2052, NSW, Australia
| | - Saabah B Mahbub
- ARC Centre of Excellence Centre for Nanoscale Biophotonics, University of New South Wales, Kensington, 2052, NSW, Australia
| | | | - Sonia Saad
- Kolling Institute of Medical Research, University of Sydney, Camperdown, 2006, NSW, Australia
| | - Carol Pollock
- Kolling Institute of Medical Research, University of Sydney, Camperdown, 2006, NSW, Australia
| | - Ewa M Goldys
- ARC Centre of Excellence Centre for Nanoscale Biophotonics, University of New South Wales, Kensington, 2052, NSW, Australia
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26
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Thejer BM, Adhikary PP, Teakel SL, Fang J, Weston PA, Gurusinghe S, Anwer AG, Gosnell M, Jazayeri JA, Ludescher M, Gray LA, Pawlak M, Wallace RH, Pant SD, Wong M, Fischer T, New EJ, Fehm TN, Neubauer H, Goldys EM, Quinn JC, Weston LA, Cahill MA. PGRMC1 effects on metabolism, genomic mutation and CpG methylation imply crucial roles in animal biology and disease. BMC Mol Cell Biol 2020; 21:26. [PMID: 32293262 PMCID: PMC7160964 DOI: 10.1186/s12860-020-00268-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Accepted: 03/20/2020] [Indexed: 01/08/2023] Open
Abstract
Background Progesterone receptor membrane component 1 (PGRMC1) is often elevated in cancers, and exists in alternative states of phosphorylation. A motif centered on PGRMC1 Y180 was evolutionarily acquired concurrently with the embryological gastrulation organizer that orchestrates vertebrate tissue differentiation. Results Here, we show that mutagenic manipulation of PGRMC1 phosphorylation alters cell metabolism, genomic stability, and CpG methylation. Each of several mutants elicited distinct patterns of genomic CpG methylation. Mutation of S57A/Y180/S181A led to increased net hypermethylation, reminiscent of embryonic stem cells. Pathways enrichment analysis suggested modulation of processes related to animal cell differentiation status and tissue identity, as well as cell cycle control and ATM/ATR DNA damage repair regulation. We detected different genomic mutation rates in culture. Conclusions A companion manuscript shows that these cell states dramatically affect protein abundances, cell and mitochondrial morphology, and glycolytic metabolism. We propose that PGRMC1 phosphorylation status modulates cellular plasticity mechanisms relevant to early embryological tissue differentiation.
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Affiliation(s)
- Bashar M Thejer
- School of Biomedical Sciences, Charles Sturt University, Wagga Wagga, NSW, 2650, Australia.,Department of Biology, College of Science, University of Wasit, Kut, Wasit, Iraq
| | - Partho P Adhikary
- School of Biomedical Sciences, Charles Sturt University, Wagga Wagga, NSW, 2650, Australia.,Present Address: Faculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, Canada
| | - Sarah L Teakel
- School of Biomedical Sciences, Charles Sturt University, Wagga Wagga, NSW, 2650, Australia
| | - Johnny Fang
- School of Biomedical Sciences, Charles Sturt University, Wagga Wagga, NSW, 2650, Australia
| | - Paul A Weston
- Graham Centre for Agricultural Innovation, Charles Sturt University, Boorooma Street, Wagga Wagga, NSW, 2678, Australia.,School of Agricultural and Wine Sciences, Charles Sturt University, Boorooma Street, Wagga Wagga, NSW, 2678, Australia
| | - Saliya Gurusinghe
- Graham Centre for Agricultural Innovation, Charles Sturt University, Boorooma Street, Wagga Wagga, NSW, 2678, Australia
| | - Ayad G Anwer
- ARC Centre of Excellence for Nanoscale BioPhotonics, Macquarie University, Sydney, NSW, 2109, Australia.,Present Address: The Graduate School of Biomedical Engineering, University of New South Wales, Sydney, Kensington, NSW, 2052, Australia
| | - Martin Gosnell
- ARC Centre of Excellence for Nanoscale BioPhotonics, Macquarie University, Sydney, NSW, 2109, Australia.,Quantitative (Biotechnology) Pty. Ltd., ABN 17 165 684 186, Australia
| | - Jalal A Jazayeri
- School of Biomedical Sciences, Charles Sturt University, Wagga Wagga, NSW, 2650, Australia
| | - Marina Ludescher
- Department of Gynecology and Obstetrics, University Women's Hospital of Dusseldorf, Dusseldorf, Germany
| | - Lesley-Ann Gray
- Australian Genome Research Facility Ltd., Victorian Comprehensive Cancer Centre, Melbourne, VIC, 3000, Australia
| | - Michael Pawlak
- NMI TT Pharmaservices, Protein Profiling, 72770 Reutlingen, Germany
| | - Robyn H Wallace
- School of Biomedical Sciences, Charles Sturt University, Wagga Wagga, NSW, 2650, Australia
| | - Sameer D Pant
- School of Animal and Veterinary Sciences, Charles Sturt University, Boorooma Street, Wagga Wagga, NSW, 2678, Australia
| | - Marie Wong
- Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Darlinghurst, NSW, 2010, Australia
| | - Tamas Fischer
- ACRF Department of Cancer Biology and Therapeutics, The John Curtin School of Medical Research, The Australian National University, Canberra, ACT, 2601, Australia
| | - Elizabeth J New
- University of Sydney, School of Chemistry, Sydney, NSW, 2006, Australia
| | - Tanja N Fehm
- Department of Gynecology and Obstetrics, University Women's Hospital of Dusseldorf, Dusseldorf, Germany
| | - Hans Neubauer
- Department of Gynecology and Obstetrics, University Women's Hospital of Dusseldorf, Dusseldorf, Germany
| | - Ewa M Goldys
- ARC Centre of Excellence for Nanoscale BioPhotonics, Macquarie University, Sydney, NSW, 2109, Australia.,Present Address: The Graduate School of Biomedical Engineering, University of New South Wales, Sydney, Kensington, NSW, 2052, Australia
| | - Jane C Quinn
- Graham Centre for Agricultural Innovation, Charles Sturt University, Boorooma Street, Wagga Wagga, NSW, 2678, Australia.,Faculty of Science, Charles Sturt University, Boorooma Street, Wagga Wagga, NSW, 2678, Australia
| | - Leslie A Weston
- Graham Centre for Agricultural Innovation, Charles Sturt University, Boorooma Street, Wagga Wagga, NSW, 2678, Australia.,School of Agricultural and Wine Sciences, Charles Sturt University, Boorooma Street, Wagga Wagga, NSW, 2678, Australia
| | - Michael A Cahill
- School of Biomedical Sciences, Charles Sturt University, Wagga Wagga, NSW, 2650, Australia. .,ACRF Department of Cancer Biology and Therapeutics, The John Curtin School of Medical Research, The Australian National University, Canberra, ACT, 2601, Australia.
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27
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Thejer BM, Adhikary PP, Kaur A, Teakel SL, Van Oosterum A, Seth I, Pajic M, Hannan KM, Pavy M, Poh P, Jazayeri JA, Zaw T, Pascovici D, Ludescher M, Pawlak M, Cassano JC, Turnbull L, Jazayeri M, James AC, Coorey CP, Roberts TL, Kinder SJ, Hannan RD, Patrick E, Molloy MP, New EJ, Fehm TN, Neubauer H, Goldys EM, Weston LA, Cahill MA. PGRMC1 phosphorylation affects cell shape, motility, glycolysis, mitochondrial form and function, and tumor growth. BMC Mol Cell Biol 2020; 21:24. [PMID: 32245408 PMCID: PMC7119165 DOI: 10.1186/s12860-020-00256-3] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Accepted: 03/04/2020] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Progesterone Receptor Membrane Component 1 (PGRMC1) is expressed in many cancer cells, where it is associated with detrimental patient outcomes. It contains phosphorylated tyrosines which evolutionarily preceded deuterostome gastrulation and tissue differentiation mechanisms. RESULTS We demonstrate that manipulating PGRMC1 phosphorylation status in MIA PaCa-2 (MP) cells imposes broad pleiotropic effects. Relative to parental cells over-expressing hemagglutinin-tagged wild-type (WT) PGRMC1-HA, cells expressing a PGRMC1-HA-S57A/S181A double mutant (DM) exhibited reduced levels of proteins involved in energy metabolism and mitochondrial function, and altered glucose metabolism suggesting modulation of the Warburg effect. This was associated with increased PI3K/AKT activity, altered cell shape, actin cytoskeleton, motility, and mitochondrial properties. An S57A/Y180F/S181A triple mutant (TM) indicated the involvement of Y180 in PI3K/AKT activation. Mutation of Y180F strongly attenuated subcutaneous xenograft tumor growth in NOD-SCID gamma mice. Elsewhere we demonstrate altered metabolism, mutation incidence, and epigenetic status in these cells. CONCLUSIONS Altogether, these results indicate that mutational manipulation of PGRMC1 phosphorylation status exerts broad pleiotropic effects relevant to cancer and other cell biology.
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Affiliation(s)
- Bashar M Thejer
- School of Biomedical Sciences, Charles Sturt University, Wagga Wagga, NSW, 2650, Australia
- Department of Biology, College of Science, University of Wasit, Wasit, 00964, Iraq
| | - Partho P Adhikary
- School of Biomedical Sciences, Charles Sturt University, Wagga Wagga, NSW, 2650, Australia
- Present address: Faculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, V6T 1Z4, Canada
| | - Amandeep Kaur
- School of Chemistry, University of Sydney, Sydney, NSW, 2006, Australia
- Present address: School of Medical Sciences, University of Sydney, Sydney, NSW, 2006, Australia
| | - Sarah L Teakel
- School of Biomedical Sciences, Charles Sturt University, Wagga Wagga, NSW, 2650, Australia
| | - Ashleigh Van Oosterum
- Life Sciences and Health, Faculty of Science, Charles Sturt University, Wagga Wagga, NSW, 2650, Australia
| | - Ishith Seth
- School of Biomedical Sciences, Charles Sturt University, Wagga Wagga, NSW, 2650, Australia
| | - Marina Pajic
- The Kinghorn Cancer Centre, Cancer Division, Garvan Institute of Medical Research, 384 Victoria St, Darlinghurst, Sydney, NSW, 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, University of NSW, Darlinghurst, 2010, NSW, Australia
| | - Katherine M Hannan
- Department of Biochemistry and Molecular Biology, University of Melbourne, Parkville, Victoria, 3010, Australia
- ACRF Department of Cancer Biology and Therapeutics, The John Curtin School of Medical Research, The Australian National University, ACT, Canberra, 2601, Australia
| | - Megan Pavy
- ACRF Department of Cancer Biology and Therapeutics, The John Curtin School of Medical Research, The Australian National University, ACT, Canberra, 2601, Australia
| | - Perlita Poh
- ACRF Department of Cancer Biology and Therapeutics, The John Curtin School of Medical Research, The Australian National University, ACT, Canberra, 2601, Australia
| | - Jalal A Jazayeri
- School of Biomedical Sciences, Charles Sturt University, Wagga Wagga, NSW, 2650, Australia
| | - Thiri Zaw
- Australian Proteome Analysis Facility, Macquarie University, Sydney, NSW, 2109, Australia
| | - Dana Pascovici
- Australian Proteome Analysis Facility, Macquarie University, Sydney, NSW, 2109, Australia
| | - Marina Ludescher
- Department of Gynecology and Obstetrics, University Women's Hospital of Dusseldorf, 40225, Dusseldorf, Germany
| | - Michael Pawlak
- NMI TT Pharmaservices, Protein Profiling, 72770, Reutlingen, Germany
| | - Juan C Cassano
- Particles-Biology Interactions Laboratory, Department of Materials Meet Life, Swiss Federal Laboratories for Materials Science & Technology (Empa), Lerchenfeldstrasse 5, CH-9014, St Gallen, Switzerland
| | - Lynne Turnbull
- The ithree institute, University of Technology Sydney, Ultimo, NSW, 2007, Australia
- Present address: GE Healthcare Life Sciences, Issaquah, WA, 98027, USA
| | - Mitra Jazayeri
- Department of Mathematics and Statistics, La Trobe University, Melbourne, VIC, 3086, Australia
| | - Alexander C James
- Ingham Institute for Applied Medical Research, Liverpool, NSW, 2170, Australia
- School of Medicine, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia
- South Western Sydney Clinical School, Faculty of Medicine, The University of New South Wales, Liverpool, NSW, 2170, Australia
| | - Craig P Coorey
- Ingham Institute for Applied Medical Research, Liverpool, NSW, 2170, Australia
- School of Medicine and University of Queensland Centre for Clinical Research, Herston, QLD, 4006, Australia
| | - Tara L Roberts
- Ingham Institute for Applied Medical Research, Liverpool, NSW, 2170, Australia
- School of Medicine, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia
- South Western Sydney Clinical School, Faculty of Medicine, The University of New South Wales, Liverpool, NSW, 2170, Australia
- School of Medicine and University of Queensland Centre for Clinical Research, Herston, QLD, 4006, Australia
| | | | - Ross D Hannan
- Department of Biochemistry and Molecular Biology, University of Melbourne, Parkville, Victoria, 3010, Australia
- ACRF Department of Cancer Biology and Therapeutics, The John Curtin School of Medical Research, The Australian National University, ACT, Canberra, 2601, Australia
- Division of Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, 3000, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, 3010, Australia
- Department of Biochemistry and Molecular Biology, Monash University, Clayton, Victoria, 3168, Australia
| | - Ellis Patrick
- School of Mathematics and Statistics, University of Sydney, Sydney, NSW, 2006, Australia
| | - Mark P Molloy
- Australian Proteome Analysis Facility, Macquarie University, Sydney, NSW, 2109, Australia
- Present address: The Kolling Institute, The University of Sydney, St Leonards (Sydney), NSW, 2064, Australia
| | - Elizabeth J New
- School of Chemistry, University of Sydney, Sydney, NSW, 2006, Australia
| | - Tanja N Fehm
- Department of Gynecology and Obstetrics, University Women's Hospital of Dusseldorf, 40225, Dusseldorf, Germany
| | - Hans Neubauer
- Department of Gynecology and Obstetrics, University Women's Hospital of Dusseldorf, 40225, Dusseldorf, Germany
| | - Ewa M Goldys
- ARC Centre of Excellence for Nanoscale BioPhotonics, Macquarie University, Sydney, NSW, 2109, Australia
- Present address: The Graduate School of Biomedical Engineering, University of New South Wales, Sydney, Kensington, NSW, 2052, Australia
| | - Leslie A Weston
- Graham Centre for Agricultural Innovation, Charles Sturt University, Boorooma Street, Wagga Wagga, NSW, 2678, Australia
- School of Agricultural and Wine Sciences, Charles Sturt University, Boorooma Street, Wagga Wagga, NSW, 2678, Australia
| | - Michael A Cahill
- School of Biomedical Sciences, Charles Sturt University, Wagga Wagga, NSW, 2650, Australia.
- ACRF Department of Cancer Biology and Therapeutics, The John Curtin School of Medical Research, The Australian National University, ACT, Canberra, 2601, Australia.
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28
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McLennan HJ, Saini A, Dunning KR, Thompson JG. Oocyte and embryo evaluation by AI and multi-spectral auto-fluorescence imaging: Livestock embryology needs to catch-up to clinical practice. Theriogenology 2020; 150:255-262. [PMID: 32088032 DOI: 10.1016/j.theriogenology.2020.01.061] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Accepted: 01/28/2020] [Indexed: 02/08/2023]
Abstract
A highly accurate 'non-invasive quantitative embryo assessment for pregnancy' (NQEAP) technique that determines embryo quality has been an elusive goal. If developed, NQEAP would transform the selection of embryos from both Multiple Ovulation and Embryo Transfer (MOET), and even more so, in vitro produced (IVP) embryos for livestock breeding. The area where this concept is already having impact is in the field of clinical embryology, where great strides have been taken in the application of morphokinetics and artificial intelligence (AI); while both are already in practice, rigorous and robust evidence of efficacy is still required. Even the translation of advances in the qualitative scoring of human IVF embryos have yet to be translated to the livestock IVP industry, which remains dependent on the MOET-standardised 3-point scoring system. Furthermore, there are new ways to interrogate the biochemistry of individual embryonic cells by using new, light-based methodologies, such as FLIM and hyperspectral microscopy. Combinations of these technologies, in particular combining new imaging systems with AI, will lead to very accurate NQEAP predictive tools, improving embryo selection and recipient pregnancy success.
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Affiliation(s)
- H J McLennan
- Robinson Research Institute, Adelaide Medical School, The University of Adelaide, Adelaide, SA, 5005, Australia; ARC Centre of Excellence for Nanoscale BioPhotonics & Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, SA, 5005, Australia
| | - A Saini
- Robinson Research Institute, Adelaide Medical School, The University of Adelaide, Adelaide, SA, 5005, Australia; ARC Centre of Excellence for Nanoscale BioPhotonics & Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, SA, 5005, Australia
| | - K R Dunning
- Robinson Research Institute, Adelaide Medical School, The University of Adelaide, Adelaide, SA, 5005, Australia; ARC Centre of Excellence for Nanoscale BioPhotonics & Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, SA, 5005, Australia
| | - J G Thompson
- Robinson Research Institute, Adelaide Medical School, The University of Adelaide, Adelaide, SA, 5005, Australia; ARC Centre of Excellence for Nanoscale BioPhotonics & Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, SA, 5005, Australia.
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Campbell JM, Habibalahi A, Mahbub S, Gosnell M, Anwer AG, Paton S, Gronthos S, Goldys E. Non-destructive, label free identification of cell cycle phase in cancer cells by multispectral microscopy of autofluorescence. BMC Cancer 2019; 19:1242. [PMID: 31864316 PMCID: PMC6925881 DOI: 10.1186/s12885-019-6463-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Accepted: 12/15/2019] [Indexed: 01/08/2023] Open
Abstract
Background Cell cycle analysis is important for cancer research. However, available methodologies have drawbacks including limited categorisation and reliance on fixation, staining or transformation. Multispectral analysis of endogenous cell autofluorescence has been shown to be sensitive to changes in cell status and could be applied to the discrimination of cell cycle without these steps. Methods Cells from the MIA-PaCa-2, PANC-1, and HeLa cell lines were plated on gridded dishes and imaged using a multispectral fluorescence microscope. They were then stained for proliferating cell nuclear antigen (PCNA) and DNA intensity as a reference standard for their cell cycle position (G1, S, G2, M). The multispectral data was split into training and testing datasets and models were generated to discriminate between G1, S, and G2 + M phase cells. A standard decision tree classification approach was taken, and a two-step system was generated for each line. Results Across cancer cell lines accuracy ranged from 68.3% (MIA-PaCa-2) to 73.3% (HeLa) for distinguishing G1 from S and G2 + M, and 69.0% (MIA-PaCa-2) to 78.0% (PANC1) for distinguishing S from G2 + M. Unmixing the multispectral data showed that the autofluorophores NADH, FAD, and PPIX had significant differences between phases. Similarly, the redox ratio and the ratio of protein bound to free NADH were significantly affected. Conclusions These results demonstrate that multispectral microscopy could be used for the non-destructive, label free discrimination of cell cycle phase in cancer cells. They provide novel information on the mechanisms of cell-cycle progression and control, and have practical implications for oncology research.
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Affiliation(s)
- Jared M Campbell
- Department of Physics and Astronomy, Macquarie University, North Ryde, New South Wales, 2109, Australia. .,ARC Centre of Excellence for Nanoscale BioPhotonics, Macquarie University, North Ryde, New South Wales, 2109, Australia. .,ARC Centre of Excellence in Nanoscale Biophotonics, The University of New South Wales, Sydney, New South Wales, 2052, Australia. .,Graduate School of Biomedical Engineering, The University of New South Wales, Sydney, New South Wales, 2052, Australia.
| | - Abbas Habibalahi
- Department of Physics and Astronomy, Macquarie University, North Ryde, New South Wales, 2109, Australia.,ARC Centre of Excellence for Nanoscale BioPhotonics, Macquarie University, North Ryde, New South Wales, 2109, Australia.,ARC Centre of Excellence in Nanoscale Biophotonics, The University of New South Wales, Sydney, New South Wales, 2052, Australia.,Graduate School of Biomedical Engineering, The University of New South Wales, Sydney, New South Wales, 2052, Australia.,School of Engineering, Faculty of Science and Engineering, Macquarie University, 2109, North Ryde, NSW, 2109, Australia
| | - Saabah Mahbub
- Department of Physics and Astronomy, Macquarie University, North Ryde, New South Wales, 2109, Australia.,ARC Centre of Excellence for Nanoscale BioPhotonics, Macquarie University, North Ryde, New South Wales, 2109, Australia.,ARC Centre of Excellence in Nanoscale Biophotonics, The University of New South Wales, Sydney, New South Wales, 2052, Australia.,Graduate School of Biomedical Engineering, The University of New South Wales, Sydney, New South Wales, 2052, Australia
| | - Martin Gosnell
- Department of Physics and Astronomy, Macquarie University, North Ryde, New South Wales, 2109, Australia.,ARC Centre of Excellence for Nanoscale BioPhotonics, Macquarie University, North Ryde, New South Wales, 2109, Australia.,Quantitative Pty Ltd, Mt Victoria, New South Wales, 2786, Australia
| | - Ayad G Anwer
- Department of Physics and Astronomy, Macquarie University, North Ryde, New South Wales, 2109, Australia.,ARC Centre of Excellence for Nanoscale BioPhotonics, Macquarie University, North Ryde, New South Wales, 2109, Australia.,ARC Centre of Excellence in Nanoscale Biophotonics, The University of New South Wales, Sydney, New South Wales, 2052, Australia.,Graduate School of Biomedical Engineering, The University of New South Wales, Sydney, New South Wales, 2052, Australia
| | - Sharon Paton
- Mesenchymal Stem Cell Laboratory, Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, South Australia, 5000, Australia.,South Australian Health and Medical Research Institute, Adelaide, South Australia, 5000, Australia
| | - Stan Gronthos
- Mesenchymal Stem Cell Laboratory, Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, South Australia, 5000, Australia.,South Australian Health and Medical Research Institute, Adelaide, South Australia, 5000, Australia
| | - Ewa Goldys
- Department of Physics and Astronomy, Macquarie University, North Ryde, New South Wales, 2109, Australia.,ARC Centre of Excellence for Nanoscale BioPhotonics, Macquarie University, North Ryde, New South Wales, 2109, Australia.,ARC Centre of Excellence in Nanoscale Biophotonics, The University of New South Wales, Sydney, New South Wales, 2052, Australia.,Graduate School of Biomedical Engineering, The University of New South Wales, Sydney, New South Wales, 2052, Australia
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30
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Fu C, Ma K, Li Z, Wang H, Chen T, Zhang D, Wang S, Mu N, Yang C, Zhao L, Gong S, Feng H, Li F. Rapid, label-free detection of cerebral ischemia in rats using hyperspectral imaging. J Neurosci Methods 2019; 329:108466. [PMID: 31628961 DOI: 10.1016/j.jneumeth.2019.108466] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Revised: 10/14/2019] [Accepted: 10/15/2019] [Indexed: 01/27/2023]
Abstract
BACKGROUND Stroke is the third most common cause of disability and the second most common cause of death worldwide. Ischemia, one of the two broad categories of stroke, is characterized by a lack of sufficient amounts of blood in order to supply an adequate amount of oxygen and nutrients. It is important to assess the part of the brain that becomes ischemic and necrotic during neurosurgery or experiments in real time. However, there is currently no effective means to achieve this goal. NEW METHOD We proposed a method based on hyperspectral imaging (HSI) for the real-time detection of a varied range of ischemic brain tissues in vivo or ex vivo and assessed the practical utility of a model of ischemic stroke in rats. RESULTS The results showed that hyperspectral images processed with a ratio of spectral reflectance at 545 and 560 nm (R545/R560) could identify early brain ischemia and accurately show regions of ischemia. COMPARISON WITH EXISTING METHODS We verified the area imaged by HSI using hematoxylin and eosin (HE) and 2, 3, 5-triphenyltetrazolium chloride (TTC) staining methods. This technique could precisely image the ischemic part of the brain in vivo and ex vivo. CONCLUSIONS These results demonstrate the practical utility of HSI for the real-time detection of cerebral ischemia in rats. By providing rapid assessment of brain tissue perfusion, HSI may help doctors recognize ischemic regions quickly and precisely during surgery as well as have great utility in the experimental process.
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Affiliation(s)
- Chuhua Fu
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University, Chongqing, 400038, China; Department of Neurosurgery, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, 441000, China
| | - Kang Ma
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University, Chongqing, 400038, China
| | - Zhao Li
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University, Chongqing, 400038, China
| | - Haifeng Wang
- Institute of Fluid Physics, China Academy of Engineering Physics, Mianyang, Sichuan Province, 621900, China
| | - Tunan Chen
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University, Chongqing, 400038, China
| | - Dayong Zhang
- Institute of Fluid Physics, China Academy of Engineering Physics, Mianyang, Sichuan Province, 621900, China
| | - Shi Wang
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University, Chongqing, 400038, China
| | - Ning Mu
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University, Chongqing, 400038, China
| | - Chuanyan Yang
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University, Chongqing, 400038, China
| | - Lu Zhao
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University, Chongqing, 400038, China
| | - Sheng Gong
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University, Chongqing, 400038, China
| | - Hua Feng
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University, Chongqing, 400038, China
| | - Fei Li
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University, Chongqing, 400038, China.
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Habibalahi A, Bala C, Allende A, Anwer AG, Goldys EM. Novel automated non invasive detection of ocular surface squamous neoplasia using multispectral autofluorescence imaging. Ocul Surf 2019; 17:540-550. [PMID: 30904597 DOI: 10.1016/j.jtos.2019.03.003] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Revised: 01/28/2019] [Accepted: 03/12/2019] [Indexed: 12/20/2022]
Abstract
PURPOSE Diagnosing Ocular surface squamous neoplasia (OSSN) using newly designed multispectral imaging technique. METHODS Eighteen patients with histopathological diagnosis of Ocular Surface Squamous Neoplasia (OSSN) were recruited. Their previously collected biopsy specimens of OSSN were reprocessed without staining to obtain auto fluorescence multispectral microscopy images. This technique involved a custom-built spectral imaging system with 38 spectral channels. Inter and intra-patient frameworks were deployed to automatically detect and delineate OSSN using machine learning methods. Different machine learning methods were evaluated, with K nearest neighbor and Support Vector Machine chosen as preferred classifiers for intra- and inter-patient frameworks, respectively. The performance of the technique was evaluated against a pathological assessment. RESULTS Quantitative analysis of the spectral images provided a strong multispectral signature of a relative difference between neoplastic and normal tissue both within each patient (at p < 0.0005) and between patients (at p < 0.001). Our fully automated diagnostic method based on machine learning produces maps of the relatively well circumscribed neoplastic-non neoplastic interface. Such maps can be rapidly generated in quasi-real time and used for intraoperative assessment. Generally, OSSN could be detected using multispectral analysis in all patients investigated here. The cancer margins detected by multispectral analysis were in close and reasonable agreement with the margins observed in the H&E sections in intra- and inter-patient classification, respectively. CONCLUSIONS This study shows the feasibility of using multispectral auto-fluorescence imaging to detect and find the boundary of human OSSN. Fully automated analysis of multispectral images based on machine learning methods provides a promising diagnostic tool for OSSN which can be translated to future clinical applications.
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Affiliation(s)
- Abbas Habibalahi
- ARC Centre of Excellence for Nanoscale Biophotonics, Macquarie University, North Ryde, NSW, 2109, Australia; School of Engineering, Faculty of Science and Engineering, Macquarie University, Sydney, NSW, 2109, Australia; Graduate School of Biomedical Engineering, University of New South Wales, Sydney, 2032, NSW, Australia.
| | - Chandra Bala
- Department of Ophthalmology, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, NSW, 2109, Australia
| | - Alexandra Allende
- Douglass Hanly Moir Pathology, Macquarie Park, Sydney, NSW, 2113, Australia; Faculty of Medicine and Health Sciences, Macquarie University, Sydney, NSW, 2109, Australia
| | - Ayad G Anwer
- ARC Centre of Excellence for Nanoscale Biophotonics, Macquarie University, North Ryde, NSW, 2109, Australia; Graduate School of Biomedical Engineering, University of New South Wales, Sydney, 2032, NSW, Australia
| | - Ewa M Goldys
- ARC Centre of Excellence for Nanoscale Biophotonics, Macquarie University, North Ryde, NSW, 2109, Australia; Graduate School of Biomedical Engineering, University of New South Wales, Sydney, 2032, NSW, Australia.
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32
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Liu G, Cao C, Ni S, Feng S, Wei H. On-chip structure-switching aptamer-modified magnetic nanobeads for the continuous monitoring of interferon-gamma ex vivo. MICROSYSTEMS & NANOENGINEERING 2019; 5:35. [PMID: 31636925 PMCID: PMC6799845 DOI: 10.1038/s41378-019-0074-1] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2019] [Revised: 04/18/2019] [Accepted: 05/27/2019] [Indexed: 05/04/2023]
Abstract
Cytokines are cell signaling molecules that indicate the health status of the body. In this study, we developed a microfluidic device integrated with structure-switching aptamers capable of continuously tracking the concentration of the cytokine interferon gamma (IFN-γ) in cell culture medium and blood serum. First, a ferrocene (Fc)-labeled structure-switching signaling aptamer with a hairpin structure targeting IFN-γ was immobilized on magnetic nanobeads by the strongest noncovalent interactions between streptavidin and biotin. The aptamer-modified magnetic nanobeads were trapped on a customized microfluidic chip by a magnetic field to form the sensing interface. The binding of IFN-γ could trigger the hairpin structure of the aptamer to unfold, pushing Fc redox molecules away from the sensing interface and consequently switching off the electrochemical signal. The change in the redox current of Fc was quantitatively related to the concentration of IFN-γ in a linear range of 10-500 pg mL-1 and with the lowest detection limit of 6 pg mL-1. This microfluidic device was specific to IFN-γ in the presence of overabundant serum proteins and allowed the continuous monitoring of IFN-γ without adding exogenous reagents. It provided a universal point-of-care biosensing platform for the real-time detection of a spectrum of analytes.
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Affiliation(s)
- Guozhen Liu
- Graduate School of Biomedical Engineering, ARC Centre of Excellence in Nanoscale Biophotonics (CNBP), Faculty of Engineering, The University of New South Wales, Sydney, NSW 2052 Australia
- Australian Centre for NanoMedicine, UNSW Sydney, Sydney, NSW 2052 Australia
- International Joint Research Center for Intelligent Biosensor Technology and Health, College of Chemistry, Central China Normal University, 430079 Wuhan, PR China
| | - Chaomin Cao
- International Joint Research Center for Intelligent Biosensor Technology and Health, College of Chemistry, Central China Normal University, 430079 Wuhan, PR China
| | - Shengnan Ni
- International Joint Research Center for Intelligent Biosensor Technology and Health, College of Chemistry, Central China Normal University, 430079 Wuhan, PR China
| | - Shilun Feng
- School of Engineering, Faculty of Science and Engineering, Macquarie University, Sydney, NSW 2109 Australia
| | - Hui Wei
- International Joint Research Center for Intelligent Biosensor Technology and Health, College of Chemistry, Central China Normal University, 430079 Wuhan, PR China
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Schaefer PM, Kalinina S, Rueck A, von Arnim CAF, von Einem B. NADH Autofluorescence-A Marker on its Way to Boost Bioenergetic Research. Cytometry A 2018; 95:34-46. [PMID: 30211978 DOI: 10.1002/cyto.a.23597] [Citation(s) in RCA: 107] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Revised: 07/20/2018] [Accepted: 08/04/2018] [Indexed: 12/20/2022]
Abstract
More than 60 years ago, the idea was introduced that NADH autofluorescence could be used as a marker of cellular redox state and indirectly also of cellular energy metabolism. Fluorescence lifetime imaging microscopy of NADH autofluorescence offers a marker-free readout of the mitochondrial function of cells in their natural microenvironment and allows different pools of NADH to be distinguished within a cell. Despite its many advantages in terms of spatial resolution and in vivo applicability, this technique still requires improvement in order to be fully useful in bioenergetics research. In the present review, we give a summary of technical and biological challenges that have so far limited the spread of this powerful technology. To help overcome these challenges, we provide a comprehensible overview of biological applications of NADH imaging, along with a detailed summary of valid imaging approaches that may be used to tackle many biological questions. This review is meant to provide all scientists interested in bioenergetics with support on how to embed successfully NADH imaging in their research. © 2018 International Society for Advancement of Cytometry.
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Affiliation(s)
| | - Sviatlana Kalinina
- Core Facility Confocal and Multiphoton Microscopy, Ulm University, Ulm, Germany
| | - Angelika Rueck
- Core Facility Confocal and Multiphoton Microscopy, Ulm University, Ulm, Germany
| | - Christine A F von Arnim
- Department of Neurology, Ulm University, Ulm, Germany.,Clinic for Neurogeriatrics and Neurological Rehabilitation, University- and Rehabilitation Hospital Ulm, Ulm, Germany
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Marcu L, Boppart SA, Hutchinson MR, Popp J, Wilson BC. Biophotonics: the big picture. JOURNAL OF BIOMEDICAL OPTICS 2017; 23:1-7. [PMID: 29275543 DOI: 10.1117/1.jbo.23.2.021103] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2017] [Accepted: 11/14/2017] [Indexed: 05/03/2023]
Abstract
The 5th International Conference on Biophotonics (ICOB) held April 30 to May 1, 2017, in Fremantle, Western Australia, brought together opinion leaders to discuss future directions for the field and opportunities to consider. The first session of the conference, "How to Set a Big Picture Biophotonics Agenda," was focused on setting the stage for developing a vision and strategies for translation and impact on society of biophotonic technologies. The invited speakers, panelists, and attendees engaged in discussions that focused on opportunities and promising applications for biophotonic techniques, challenges when working at the confluence of the physical and biological sciences, driving factors for advances of biophotonic technologies, and educational opportunities. We share a summary of the presentations and discussions. Three main themes from the conference are presented in this position paper that capture the current status, opportunities, challenges, and future directions of biophotonics research and key areas of applications: (1) biophotonics at the nano- to microscale level; (2) biophotonics at meso- to macroscale level; and (3) biophotonics and the clinical translation conundrum.
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Affiliation(s)
- Laura Marcu
- University of California, Department of Biomedical Engineering and Neurological Surgery, Davis, Cali, United States
| | - Stephen A Boppart
- University of Illinois at Urbana-Champaign, Beckman Institute for Advanced Science and Technology, U, United States
| | - Mark R Hutchinson
- University of Adelaide, Australian Research Council Centre of Excellence for Nanoscale BioPhotonics,, Australia
| | - Jürgen Popp
- Friedrich-Schiller University Jena, Institute of Physical Chemistry and Abbe Center of Photonics, Je, Germany
- Leibniz Institute of Photonic Technology, Jena, Germany
| | - Brian C Wilson
- University of Toronto, Princess Margaret Cancer Centre and Faculty of Medicine, Department of Medica, Canada
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Mahbub SB, Plöschner M, Gosnell ME, Anwer AG, Goldys EM. Statistically strong label-free quantitative identification of native fluorophores in a biological sample. Sci Rep 2017; 7:15792. [PMID: 29150629 PMCID: PMC5693869 DOI: 10.1038/s41598-017-15952-y] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2017] [Accepted: 11/03/2017] [Indexed: 11/16/2022] Open
Abstract
Bioimaging using endogenous cell fluorescence, without any external biomarkers makes it possible to explore cells and tissues in their original native state, also in vivo. In order to be informative, this label-free method requires careful multispectral or hyperspectral recording of autofluorescence images followed by unsupervised extraction (unmixing) of biochemical signatures. The unmixing is difficult due to the scarcity of biochemically pure regions in cells and also because autofluorescence is weak compared with signals from labelled cells, typically leading to low signal to noise ratio. Here, we solve the problem of unsupervised hyperspectral unmixing of cellular autofluorescence by introducing the Robust Dependent Component Analysis (RoDECA). This approach provides sophisticated and statistically robust quantitative biochemical analysis of cellular autofluorescence images. We validate our method on artificial images, where the addition of varying known level of noise has allowed us to quantify the accuracy of our RoDECA analysis in a way that can be applied to real biological datasets. The same unsupervised statistical minimisation is then applied to imaging of mouse retinal photoreceptor cells where we establish the identity of key endogenous fluorophores (free NADH, FAD and lipofuscin) and derive the corresponding molecular abundance maps. The pre-processing methodology of image datasets is also presented, which is essential for the spectral unmixing analysis, but mostly overlooked in the previous studies.
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Affiliation(s)
- Saabah B Mahbub
- ARC Centre of Excellence for Nanoscale Biophotonics, Macquarie University, North Ryde, 2109, NSW, Australia.
| | - Martin Plöschner
- ARC Centre of Excellence for Nanoscale Biophotonics, Macquarie University, North Ryde, 2109, NSW, Australia
| | - Martin E Gosnell
- ARC Centre of Excellence for Nanoscale Biophotonics, Macquarie University, North Ryde, 2109, NSW, Australia
- Quantitative Pty Ltd, ABN 17165684186, 116-118 Great Western Highway, Mt. Victoria, NSW, 2786, Australia
| | - Ayad G Anwer
- ARC Centre of Excellence for Nanoscale Biophotonics, Macquarie University, North Ryde, 2109, NSW, Australia
| | - Ewa M Goldys
- ARC Centre of Excellence for Nanoscale Biophotonics, Macquarie University, North Ryde, 2109, NSW, Australia.
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36
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Sutton-McDowall ML, Gosnell M, Anwer AG, White M, Purdey M, Abell AD, Goldys EM, Thompson JG. Hyperspectral microscopy can detect metabolic heterogeneity within bovine post-compaction embryos incubated under two oxygen concentrations (7% versus 20%). Hum Reprod 2017; 32:2016-2025. [DOI: 10.1093/humrep/dex261] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2017] [Accepted: 07/26/2017] [Indexed: 01/22/2023] Open
Affiliation(s)
- Melanie L. Sutton-McDowall
- Robinson Research Institute, Adelaide Medical School, The University of Adelaide, Adelaide, South Australia 5005, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics
- Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, South Australia 5005, Australia
| | - Martin Gosnell
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics
- Quantitative Pty Ltd, Mount Victoria, New South Wales 2786, Australia
| | - Ayad G. Anwer
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics
- Macquarie University, North Ryde, New South Wales 2109, Australia
| | - Melissa White
- Robinson Research Institute, Adelaide Medical School, The University of Adelaide, Adelaide, South Australia 5005, Australia
| | - Malcolm Purdey
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics
- Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, South Australia 5005, Australia
- Department of Chemistry, The University of Adelaide, Adelaide, South Australia 5005, Australia
| | - Andrew D. Abell
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics
- Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, South Australia 5005, Australia
- Department of Chemistry, The University of Adelaide, Adelaide, South Australia 5005, Australia
| | - Ewa M. Goldys
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics
| | - Jeremy G. Thompson
- Robinson Research Institute, Adelaide Medical School, The University of Adelaide, Adelaide, South Australia 5005, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics
- Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, South Australia 5005, Australia
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37
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Rehman AU, Anwer AG, Gosnell ME, Mahbub SB, Liu G, Goldys EM. Fluorescence quenching of free and bound NADH in HeLa cells determined by hyperspectral imaging and unmixing of cell autofluorescence. BIOMEDICAL OPTICS EXPRESS 2017; 8:1488-1498. [PMID: 28663844 PMCID: PMC5480559 DOI: 10.1364/boe.8.001488] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2016] [Revised: 01/12/2017] [Accepted: 02/06/2017] [Indexed: 05/06/2023]
Abstract
Carbonyl cyanide-p-trifluoro methoxyphenylhydrazone (FCCP) is a well-known mitochondrial uncoupling agent. We examined FCCP-induced fluorescence quenching of reduced nicotinamide adenine dinucleotide / nicotinamide adenine dinucleotide phosphate (NAD(P)H) in solution and in cultured HeLa cells in a wide range of FCCP concentrations from 50 to 1000µM. A non-invasive label-free method of hyperspectral imaging of cell autofluorescence combined with unsupervised unmixing was used to separately isolate the emissions of free and bound NAD(P)H from cell autofluorescence. Hyperspectral image analysis of FCCP-treated HeLa cells confirms that this agent selectively quenches fluorescence of free and bound NAD(P)H in a broad range of concentrations. This is confirmed by the measurements of average NAD/NADH and NADP/NADPH content in cells. FCCP quenching of free NAD(P)H in cells and in solution is found to be similar, but quenching of bound NAD(P)H in cells is attenuated compared to solution quenching possibly due to a contribution from the metabolic and/or antioxidant response in cells. Chemical quenching of NAD(P)H fluorescence by FCCP validates the results of unsupervised unmixing of cell autofluorescence.
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Affiliation(s)
- Aziz Ul Rehman
- ARC Centre of Excellence in Nanoscale Biophotonics, Macquarie University, Sydney, 2109, New South Wales, Australia
- Biophotonics Laboratory, National Institute of Lasers and Optronics, Lehtrar Road, Islamabad 45650, Pakistan
| | - Ayad G. Anwer
- ARC Centre of Excellence in Nanoscale Biophotonics, Macquarie University, Sydney, 2109, New South Wales, Australia
| | - Martin E. Gosnell
- ARC Centre of Excellence in Nanoscale Biophotonics, Macquarie University, Sydney, 2109, New South Wales, Australia
- Quantitative Pty Ltd, ABN 17 165 684 186, Australia
| | - Saabah B. Mahbub
- ARC Centre of Excellence in Nanoscale Biophotonics, Macquarie University, Sydney, 2109, New South Wales, Australia
| | - Guozhen Liu
- ARC Centre of Excellence in Nanoscale Biophotonics, Macquarie University, Sydney, 2109, New South Wales, Australia
- Key Laboratory of Pesticide and Chemical Biology of Ministry of Education, College of Chemistry, Central China Normal University, Wuhan 430079, China
| | - Ewa M. Goldys
- ARC Centre of Excellence in Nanoscale Biophotonics, Macquarie University, Sydney, 2109, New South Wales, Australia
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38
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Gosnell ME, Anwer AG, Mahbub SB, Menon Perinchery S, Inglis DW, Adhikary PP, Jazayeri JA, Cahill MA, Saad S, Pollock CA, Sutton-McDowall ML, Thompson JG, Goldys EM. Quantitative non-invasive cell characterisation and discrimination based on multispectral autofluorescence features. Sci Rep 2016; 6:23453. [PMID: 27029742 PMCID: PMC4814840 DOI: 10.1038/srep23453] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2015] [Accepted: 03/07/2016] [Indexed: 02/08/2023] Open
Abstract
Automated and unbiased methods of non-invasive cell monitoring able to deal with complex biological heterogeneity are fundamentally important for biology and medicine. Label-free cell imaging provides information about endogenous autofluorescent metabolites, enzymes and cofactors in cells. However extracting high content information from autofluorescence imaging has been hitherto impossible. Here, we quantitatively characterise cell populations in different tissue types, live or fixed, by using novel image processing and a simple multispectral upgrade of a wide-field fluorescence microscope. Our optimal discrimination approach enables statistical hypothesis testing and intuitive visualisations where previously undetectable differences become clearly apparent. Label-free classifications are validated by the analysis of Classification Determinant (CD) antigen expression. The versatility of our method is illustrated by detecting genetic mutations in cancer, non-invasive monitoring of CD90 expression, label-free tracking of stem cell differentiation, identifying stem cell subpopulations with varying functional characteristics, tissue diagnostics in diabetes, and assessing the condition of preimplantation embryos.
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Affiliation(s)
- Martin E. Gosnell
- Quantitative Pty Ltd ABN 17165684186, Beaumont Hills NSW 2155, Australia.
- ARC Centre of Excellence for Nanoscale Biophotonics, Macquarie University, North Ryde 2109, NSW Australia
| | - Ayad G. Anwer
- ARC Centre of Excellence for Nanoscale Biophotonics, Macquarie University, North Ryde 2109, NSW Australia
| | - Saabah B. Mahbub
- ARC Centre of Excellence for Nanoscale Biophotonics, Macquarie University, North Ryde 2109, NSW Australia
| | - Sandeep Menon Perinchery
- ARC Centre of Excellence for Nanoscale Biophotonics, Macquarie University, North Ryde 2109, NSW Australia
| | - David W. Inglis
- ARC Centre of Excellence for Nanoscale Biophotonics, Macquarie University, North Ryde 2109, NSW Australia
| | - Partho P. Adhikary
- School of Biomedical Sciences, Charles Sturt University, Wagga Wagga, NSW, 2678, Australia
| | - Jalal A. Jazayeri
- School of Biomedical Sciences, Charles Sturt University, Wagga Wagga, NSW, 2678, Australia
| | - Michael A. Cahill
- School of Biomedical Sciences, Charles Sturt University, Wagga Wagga, NSW, 2678, Australia
| | - Sonia Saad
- Kolling Institute of Medical Research, Royal North Shore Hospital/Northern Clinical School, University of Sydney, Pacific Hwy, St Leonards NSW 2065, Australia
| | - Carol A. Pollock
- Kolling Institute of Medical Research, Royal North Shore Hospital/Northern Clinical School, University of Sydney, Pacific Hwy, St Leonards NSW 2065, Australia
| | - Melanie L. Sutton-McDowall
- Robinson Research Institute, School of Paediatrics and Reproductive Health, The University of Adelaide, Medical School, Frome Road, Adelaide, South Australia, 5005, Australia
- Australian Research Council Centre of Excellence for Nanoscale Biophotonics and Institute for Photonics and Advanced Sensing, The University of Adelaide, North Terrace, Adelaide, South Australia, 5005, Australia
| | - Jeremy G. Thompson
- Robinson Research Institute, School of Paediatrics and Reproductive Health, The University of Adelaide, Medical School, Frome Road, Adelaide, South Australia, 5005, Australia
- Australian Research Council Centre of Excellence for Nanoscale Biophotonics and Institute for Photonics and Advanced Sensing, The University of Adelaide, North Terrace, Adelaide, South Australia, 5005, Australia
| | - Ewa M. Goldys
- ARC Centre of Excellence for Nanoscale Biophotonics, Macquarie University, North Ryde 2109, NSW Australia
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