1
|
Zhao J, Matlock A, Zhu H, Song Z, Zhu J, Wang B, Chen F, Zhan Y, Chen Z, Xu Y, Lin X, Tian L, Cheng JX. Bond-selective intensity diffraction tomography. Nat Commun 2022; 13:7767. [PMID: 36522316 PMCID: PMC9755124 DOI: 10.1038/s41467-022-35329-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 11/28/2022] [Indexed: 12/23/2022] Open
Abstract
Recovering molecular information remains a grand challenge in the widely used holographic and computational imaging technologies. To address this challenge, we developed a computational mid-infrared photothermal microscope, termed Bond-selective Intensity Diffraction Tomography (BS-IDT). Based on a low-cost brightfield microscope with an add-on pulsed light source, BS-IDT recovers both infrared spectra and bond-selective 3D refractive index maps from intensity-only measurements. High-fidelity infrared fingerprint spectra extraction is validated. Volumetric chemical imaging of biological cells is demonstrated at a speed of ~20 s per volume, with a lateral and axial resolution of ~350 nm and ~1.1 µm, respectively. BS-IDT's application potential is investigated by chemically quantifying lipids stored in cancer cells and volumetric chemical imaging on Caenorhabditis elegans with a large field of view (~100 µm x 100 µm).
Collapse
Affiliation(s)
- Jian Zhao
- Department of Electrical and Computer Engineering, Boston University, Boston, MA, 02215, USA
- The Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, 02142, USA
| | - Alex Matlock
- Department of Electrical and Computer Engineering, Boston University, Boston, MA, 02215, USA
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02142, USA
| | - Hongbo Zhu
- State Key Laboratory of Luminescence and Applications, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, 130033, China.
| | - Ziqi Song
- Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100190, China
| | - Jiabei Zhu
- Department of Electrical and Computer Engineering, Boston University, Boston, MA, 02215, USA
| | - Biao Wang
- State Key Laboratory of Luminescence and Applications, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, 130033, China
| | - Fukai Chen
- Department of Biology, Boston University, Boston, MA, 02215, USA
| | - Yuewei Zhan
- Department of Biomedical Engineering, Boston University, Boston, MA, 02215, USA
| | - Zhicong Chen
- Department of Electrical and Computer Engineering, Boston University, Boston, MA, 02215, USA
| | - Yihong Xu
- Department of Physics, Boston University, Boston, MA, 02215, USA
| | - Xingchen Lin
- State Key Laboratory of Luminescence and Applications, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, 130033, China
| | - Lei Tian
- Department of Electrical and Computer Engineering, Boston University, Boston, MA, 02215, USA.
- Department of Biomedical Engineering, Boston University, Boston, MA, 02215, USA.
| | - Ji-Xin Cheng
- Department of Electrical and Computer Engineering, Boston University, Boston, MA, 02215, USA.
- Department of Biomedical Engineering, Boston University, Boston, MA, 02215, USA.
- Department of Physics, Boston University, Boston, MA, 02215, USA.
| |
Collapse
|
2
|
Guzmán-Ruiz R, Tercero-Alcázar C, Rabanal-Ruiz Y, Díaz-Ruiz A, El Bekay R, Rangel-Zuñiga OA, Navarro-Ruiz MC, Molero L, Membrives A, Ruiz-Rabelo JF, Pandit A, López-Miranda J, Tinahones FJ, Malagón MM. Adipose tissue depot-specific intracellular and extracellular cues contributing to insulin resistance in obese individuals. FASEB J 2020; 34:7520-7539. [PMID: 32293066 PMCID: PMC7384030 DOI: 10.1096/fj.201902703r] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2019] [Revised: 03/10/2020] [Accepted: 03/22/2020] [Indexed: 12/12/2022]
Abstract
Adipose tissue dysregulation in obesity strongly influences systemic metabolic homeostasis and is often linked to insulin resistance (IR). However, the molecular mechanisms underlying adipose tissue dysfunction in obesity are not fully understood. Herein, a proteomic analysis of subcutaneous (SC) and omental (OM) fat from lean subjects and obese individuals with different degrees of insulin sensitivity was performed to identify adipose tissue biomarkers related to obesity‐associated metabolic disease. Our results suggest that dysregulation of both adipose tissue extracellular matrix (ECM) organization and intracellular trafficking processes may be associated with IR in obesity. Thus, abnormal accumulation of the small leucine‐rich proteoglycan, lumican, as observed in SC fat of IR obese individuals, modifies collagen I organization, impairs adipogenesis and activates stress processes [endoplasmic reticulum and oxidative stress] in adipocytes. In OM fat, IR is associated with increased levels of the negative regulator of the Rab family of small GTPases, GDI2, which alters lipid storage in adipocytes by inhibiting insulin‐stimulated binding of the Rab protein, Rab18, to lipid droplets. Together, these results indicate that lumican and GDI2 might play depot‐dependent, pathogenic roles in obesity‐associated IR. Our findings provide novel insights into the differential maladaptive responses of SC and OM adipose tissue linking obesity to IR.
Collapse
Affiliation(s)
- Rocío Guzmán-Ruiz
- Department of Cell Biology, Physiology, and Immunology, Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), University of Córdoba, Reina Sofia University Hospital, Córdoba, Spain.,CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | - Carmen Tercero-Alcázar
- Department of Cell Biology, Physiology, and Immunology, Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), University of Córdoba, Reina Sofia University Hospital, Córdoba, Spain.,CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | - Yoana Rabanal-Ruiz
- Department of Cell Biology, Physiology, and Immunology, Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), University of Córdoba, Reina Sofia University Hospital, Córdoba, Spain.,CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | - Alberto Díaz-Ruiz
- Department of Cell Biology, Physiology, and Immunology, Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), University of Córdoba, Reina Sofia University Hospital, Córdoba, Spain.,CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | - Rajaa El Bekay
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain.,Unidad de Gestión Clínica de Endocrinología y Nutrición, Instituto de Investigación Biomédica de Málaga (IBIMA), Hospital Regional Universitario, University of Málaga, Málaga, Spain
| | - Oriol A Rangel-Zuñiga
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain.,Lipids and Atherosclerosis Unit, IMIBIC, Reina Sofia University Hospital, University of Córdoba, Córdoba, Spain
| | - M Carmen Navarro-Ruiz
- Department of Cell Biology, Physiology, and Immunology, Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), University of Córdoba, Reina Sofia University Hospital, Córdoba, Spain.,CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | - Laura Molero
- Department of Cell Biology, Physiology, and Immunology, Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), University of Córdoba, Reina Sofia University Hospital, Córdoba, Spain.,CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | - Antonio Membrives
- Unidad de Gestión Clínica de Cirugía General y Digestivo, Sección de Obesidad, IMIBIC, Reina Sofia University Hospital, Córdoba, Spain
| | - Juan F Ruiz-Rabelo
- Unidad de Gestión Clínica de Cirugía General y Digestivo, Sección de Obesidad, IMIBIC, Reina Sofia University Hospital, Córdoba, Spain
| | - Abhay Pandit
- Centre for Research in Medical Devices (CÚRAM), National University of Ireland, Galway, Ireland
| | - José López-Miranda
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain.,Lipids and Atherosclerosis Unit, IMIBIC, Reina Sofia University Hospital, University of Córdoba, Córdoba, Spain
| | - Francisco J Tinahones
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain.,Department of Endocrinology and Nutrition, Virgen de la Victoria Hospital (IBIMA), University of Málaga, Málaga, Spain
| | - María M Malagón
- Department of Cell Biology, Physiology, and Immunology, Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), University of Córdoba, Reina Sofia University Hospital, Córdoba, Spain.,CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| |
Collapse
|
3
|
Dejgaard SY, Presley JF. Rab18 regulates lipolysis via Arf/GBF1 and adipose triglyceride lipase. Biochem Biophys Res Commun 2019; 520:526-531. [PMID: 31610914 DOI: 10.1016/j.bbrc.2019.10.069] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Accepted: 10/06/2019] [Indexed: 01/09/2023]
Abstract
Rab18 is a small GTPase associated with lipid droplets and other membranes. While it likely has multiple functions on lipid droplets, one proposed function is regulation of lipolysis. Previous work has concentrated on regulation of autophagy; however, in this study, we provide evidence that Rab18 plays a role upstream of the cytosolic lipolytic enzyme adipose triglyceride lipase (ATGL) and that recruitment of ATGL by Rab18 is mediated by elements of the Arf/GBF1 machinery. We find that Arf4-GFP is accumulated on the subset of lipid droplets associated with Rab18, and that this association is lost within 5 min upon treatment with 5 μg/ml of the drug brefeldin A, which targets GBF1 and other Sec7-domain containing Arf exchange factors. ATGL-GFP is also recruited to lipid droplets, but is lost more slowly after treatment with 5 μg/ml brefeldin A, with significant loss from lipid droplets after 1 h treatment, and almost complete loss from lipid droplets 4 h after brefeldin A treatment. Upon overexpression of the dominant negative GDP-locked cerulean-Rab18-S22 N, GFP-ATGL and Arf4 are lost from the surface of lipid droplets similarly to BFA treatment. This study establishes, for the first time, an essential role for Rab18 in recruiting ATGL to lipid droplets.
Collapse
Affiliation(s)
- Selma Yilmaz Dejgaard
- Department of Anatomy and Cell Biology, McGill University, Montreal, Quebec, Canada; Department of Medical Biology, Near East University, Nicosia, Cyprus
| | - John F Presley
- Department of Anatomy and Cell Biology, McGill University, Montreal, Quebec, Canada.
| |
Collapse
|
4
|
Exner T, Beretta CA, Gao Q, Afting C, Romero-Brey I, Bartenschlager R, Fehring L, Poppelreuther M, Füllekrug J. Lipid droplet quantification based on iterative image processing. J Lipid Res 2019; 60:1333-1344. [PMID: 30926625 DOI: 10.1194/jlr.d092841] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Revised: 03/28/2019] [Indexed: 12/15/2022] Open
Abstract
Lipid droplets (LDs) are ubiquitous and highly dynamic subcellular organelles required for the storage of neutral lipids. LD number and size distribution are key parameters affected not only by nutrient supply but also by lipotoxic stress and metabolic regulation. Current methods for LD quantification lack general applicability and are either based on time consuming manual evaluation or show limitations if LDs are high in numbers or closely clustered. Here, we present an ImageJ-based approach for the detection and quantification of LDs stained by neutral lipid dyes in images acquired by conventional wide-field fluorescence microscopy. The method features an adjustable preprocessing procedure that resolves LD clusters. LD identification is based on their circular edges and central fluorescence intensity maxima. Adaptation to different cell types is mediated by a set of interactive parameters. Validation was done for three different cell lines using manual evaluation of LD numbers and volume measurement by 3D rendering of confocal datasets. In an application example, we show that overexpression of the acyl-CoA synthetase, FATP4/ACSVL5, in oleate-treated COS7 cells increased the size of LDs but not their number.
Collapse
Affiliation(s)
- Tarik Exner
- Molecular Cell Biology Laboratory Internal Medicine IV, Heidelberg University, Heidelberg, Germany
| | - Carlo A Beretta
- CellNetworks Math-Clinic Core Facility, BioQuant Heidelberg University, Heidelberg, Germany
| | - Qi Gao
- CellNetworks Math-Clinic Core Facility, BioQuant Heidelberg University, Heidelberg, Germany
| | - Cassian Afting
- Molecular Cell Biology Laboratory Internal Medicine IV, Heidelberg University, Heidelberg, Germany
| | - Inés Romero-Brey
- Department of Infectious Diseases, Molecular Virology Heidelberg University, Heidelberg, Germany
| | - Ralf Bartenschlager
- Department of Infectious Diseases, Molecular Virology Heidelberg University, Heidelberg, Germany.,Department of Virus-Associated Carcinogenesis, German Cancer Research Center, Heidelberg, Germany
| | - Leonard Fehring
- Molecular Cell Biology Laboratory Internal Medicine IV, Heidelberg University, Heidelberg, Germany
| | - Margarete Poppelreuther
- Molecular Cell Biology Laboratory Internal Medicine IV, Heidelberg University, Heidelberg, Germany
| | - Joachim Füllekrug
- Molecular Cell Biology Laboratory Internal Medicine IV, Heidelberg University, Heidelberg, Germany
| |
Collapse
|
5
|
Gemmink A, Daemen S, Kuijpers HJH, Schaart G, Duimel H, López-Iglesias C, van Zandvoort MAMJ, Knoops K, Hesselink MKC. Super-resolution microscopy localizes perilipin 5 at lipid droplet-mitochondria interaction sites and at lipid droplets juxtaposing to perilipin 2. Biochim Biophys Acta Mol Cell Biol Lipids 2018; 1863:1423-1432. [PMID: 30591149 DOI: 10.1016/j.bbalip.2018.08.016] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2018] [Revised: 08/06/2018] [Accepted: 08/29/2018] [Indexed: 01/26/2023]
Abstract
OBJECTIVE Intramyocellular lipid droplets (LD) and their coat proteins PLIN2 and PLIN5 are involved in lipolysis, with a putative role for PLIN5 in mitochondrial tethering. Reportedly, these proteins co-localize and cover the surface of the LD. To provide the spatial basis for understanding how these proteins possess their distinct roles, we examined the precise location of PLIN2 and PLIN5 and explored PLIN5 presence at LD-mitochondria contact sites using Stimulated emission depletion (STED) microscopy and correlative light-electron microscopy (CLEM) in human skeletal muscle sections. METHODS LDs were stained by MDH together with combinations of mitochondrial proteins and PLINs. Subcellular distribution and co-localization of PLIN proteins and mitochondria was imaged by STED microscopy (Leica TCS SP8) and quantified using Pearson's correlation coefficients and intensity profile plots. CLEM was employed to examine the presence of PLIN5 on mitochondria-LD contact sites. RESULTS Both PLIN2 and PLIN5 localized to the LD in a dot-like, juxtaposed fashion rather than colocalizing and covering the entire LD. Both STED and CLEM revealed a high fraction of PLIN5 at the LD-mitochondria interface, but not at mitochondrial cristae, as suggested previously. CONCLUSION Using two super-resolution imaging approaches, this is the first study to show that in sections of human skeletal muscle PLIN2 and PLIN5 localize to the LD at distinct sites, with abundance of PLIN5 at LD-mitochondria tethering sites. This novel spatial information uncovers that PLIN proteins do not serve as lipolytic barriers but rather are docking sites for proteins facilitating selective lipase access under a variety of lipolytic conditions.
Collapse
Affiliation(s)
- Anne Gemmink
- Department of Nutrition and Movement Sciences, Maastricht University Medical Centre+, 6200 MD Maastricht, the Netherlands; NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht, the Netherlands
| | - Sabine Daemen
- Department of Nutrition and Movement Sciences, Maastricht University Medical Centre+, 6200 MD Maastricht, the Netherlands; NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht, the Netherlands
| | - Helma J H Kuijpers
- Microscopy Core Lab, FHML and M4I Maastricht Multimodal Molecular Imaging Institute, Maastricht University, 6200 MD Maastricht, the Netherlands
| | - Gert Schaart
- Department of Nutrition and Movement Sciences, Maastricht University Medical Centre+, 6200 MD Maastricht, the Netherlands; NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht, the Netherlands
| | - Hans Duimel
- Microscopy Core Lab, FHML and M4I Maastricht Multimodal Molecular Imaging Institute, Maastricht University, 6200 MD Maastricht, the Netherlands
| | - Carmen López-Iglesias
- Microscopy Core Lab, FHML and M4I Maastricht Multimodal Molecular Imaging Institute, Maastricht University, 6200 MD Maastricht, the Netherlands
| | - Marc A M J van Zandvoort
- Department of Genetics & Cell Biology - Molecular Cell Biology, Maastricht University Medical Centre+, 6200 MD Maastricht, the Netherlands; CARIM - Cardiovascular Research Institute Maastricht, Maastricht, the Netherlands; Institute for Molecular Cardiovascular Research IMCAR, Universitätsklinikum, Aachen, Pauwelstrasse 30, Aachen, Germany
| | - Kèvin Knoops
- Microscopy Core Lab, FHML and M4I Maastricht Multimodal Molecular Imaging Institute, Maastricht University, 6200 MD Maastricht, the Netherlands
| | - Matthijs K C Hesselink
- Department of Nutrition and Movement Sciences, Maastricht University Medical Centre+, 6200 MD Maastricht, the Netherlands; NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht, the Netherlands.
| |
Collapse
|