1
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Tian R, Zhu FY, Ma R, Wang YL, Huang J, Li C, Zhu MQ. Instant in situ highlighting of latent fingerprints by a green fluorescent probe based on aggregation-induced emission. Biosens Bioelectron 2024; 263:116572. [PMID: 39047649 DOI: 10.1016/j.bios.2024.116572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 06/21/2024] [Accepted: 07/12/2024] [Indexed: 07/27/2024]
Abstract
Fluorescence sensing of latent fingerprints (LFPs) has gained extensive attention due to its high sensitivity, non-destructive testing, low biotoxicity, ease of operation, and the potential for in situ visualization. However, the realization of in situ visualization of LFPs especially with green emission and rapid speed is still a challenge. Herein, we synthesized an amphibious green-emission AIE-gen TPE-NI-AOH (PLQY = 62%) for instant in situ LFP detecting, which integrates the excellent fluorescence properties of naphthalimide (NI) with a hydrophilic head and the AIE character as well as the donating property of tetraphenylethene (TPE). TPE-NI-AOH in ethanol/water binary solvent was used as an environmentally friendly LFP developer and achieved in situ green-fluorescence visualization of LFPs. The fluorescence signal achieves its 60% saturated intensity in 0.37 s and nearly 100% in 2.50 s, which is an instant process for the naked eye. Moreover, level 3 details and super-resolution images of LFPs could be observed clearly. Besides, the TPE-NI-AOH developer could be stored for at least 6 months, suitable for long-term storage. This instant in situ highlighting method does not require post-processing operations, providing a more convenient, rapid, and efficient detection method of LFPs. This work would inspire the further advancement of fluorescent sensors for fingerprint imaging.
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Affiliation(s)
- Rui Tian
- Wuhan National Laboratory for Optoelectronics, School of Optical and Electronic Information, College of Chemistry and Chemical Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Feng-Yu Zhu
- Wuhan National Laboratory for Optoelectronics, School of Optical and Electronic Information, College of Chemistry and Chemical Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Rongliang Ma
- Institute of Forensic Science, Ministry of Public Security, Beijing, 100038, China.
| | - Ya-Long Wang
- Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, 570228, China
| | - Jinliang Huang
- People's Public Security University of China, Beijing, 100038, China
| | - Chong Li
- Wuhan National Laboratory for Optoelectronics, School of Optical and Electronic Information, College of Chemistry and Chemical Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.
| | - Ming-Qiang Zhu
- Wuhan National Laboratory for Optoelectronics, School of Optical and Electronic Information, College of Chemistry and Chemical Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, 570228, China.
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2
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Lörzing P, Schake P, Schlierf M. Anisotropic DBSCAN for 3D SMLM Data Clustering. J Phys Chem B 2024; 128:7934-7940. [PMID: 39129670 DOI: 10.1021/acs.jpcb.4c02030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/13/2024]
Abstract
Single-molecule localization microscopy (SMLM) advanced biological discoveries beyond the diffraction limit. Various implementations enable 3D SMLM to reconstruct volumetric cell images. Yet, the inherent anisotropic point spread function of optical microscopes often limits the localization precision in the axial direction compared to the lateral precision. Such localization anisotropy could also expand spherical cellular structures to ellipsoidal cellular structures. Structure identification, however, is often performed using DBSCAN cluster algorithms, considering an isotropic search volume. Here, we show that an anisotropic DBSCAN search volume identifies anisotropic clusters more reliably using simulated ground truth data sets. Given experimental localization precisions, we suggest optimized search parameters based on an expanded computational grid search and show an enhanced performance of anisotropic DBSCAN amidst variations in localization precision. We demonstrate the capability of anisotropic DBSCAN on experimental data and anticipate that the algorithm allows for a more rigorous identification of clusters in cells, considering the anisotropic localization precisions of astigmatism-based 3D SMLM.
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Affiliation(s)
- Pilar Lörzing
- B CUBE Center for Molecular Bioengineering, TU Dresden, Tatzberg 41, Dresden 01307, Germany
| | - Philipp Schake
- B CUBE Center for Molecular Bioengineering, TU Dresden, Tatzberg 41, Dresden 01307, Germany
- Biotechnology Center (BIOTEC), CMCB, TU Dresden, Tatzberg 47-49, Dresden 01307, Germany
| | - Michael Schlierf
- B CUBE Center for Molecular Bioengineering, TU Dresden, Tatzberg 41, Dresden 01307, Germany
- Physics of Life, DFG Cluster of Excellence, TU Dresden, Dresden 01062, Germany
- Faculty of Physics, TU Dresden, Dresden 01062, Germany
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3
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Zhao X, Du J, Sun W, Fan J, Peng X. Regulating Charge Transfer in Cyanine Dyes: A Universal Methodology for Enhancing Cancer Phototherapeutic Efficacy. Acc Chem Res 2024. [PMID: 39152945 DOI: 10.1021/acs.accounts.4c00399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/19/2024]
Abstract
ConspectusDue to the advantages of spatiotemporal selectivity and inherent noninvasiveness, cancer phototherapy, which includes both photodynamic therapy (PDT) and photothermal therapy (PTT), has garnered significant attention in recent years as a promising cancer treatment. Despite the commendable progress in this field, persistent challenges remain. In PDT, limitations in dyes manifest as low intersystem crossing (ISC) efficiency and oxygen-dependent photoactivity, resulting in unsatisfactory performance, particularly under hypoxic conditions. Similarly, PTT encounters consistent insufficiencies in the photothermal conversion efficiency (PCE) of dyes. Additionally, the suboptimal phototherapeutic efficacy often exhibits a limited immune response. These factors collectively impose significant constraints on phototherapy in oncological applications, leading to limited tumor inhibition, tumor recurrence, and even metastasis.Unlike strategies that rely on external assistance with complicated systems, manipulating excited-state deactivation pathways in biocompatible dyes offers a universal way to systematically address these challenges. Our group has devoted considerable effort to achieving this goal. In this Account, we present and discuss our journey in optimizing excited-state energy-release pathways through regulating molecular charge transfer based on cyanine dyes, which are renowned for their exceptional photophysical properties and harmonious biocompatibility. The investigation begins with the introduction of amino groups in the meso position of a heptamethine cyanine dye, where the intramolecular charge transfer (ICT) effect causes a significant enlargement of the Stokes shift. Subsequently, ICT induced by introducing functional electron-deficient groups in cyanines is found to decrease the overlap of electron distribution or narrow the energy gaps of molecular frontier orbitals. Such modifications result in a reduction of the energy gaps between singlet and triplet states or an improvement in internal conversion, ultimately promoting phototherapy efficacy in both primary and distant tumors. Furthermore, with the intensification of the charge transfer effect aided by light, photoinduced intramolecular electron transfer occurs in some cyanines, leading to complete charge separation in the excited state. This process enhances the transition to the ground or triplet states, improving tumor phototherapy and inhibiting metastasis by increasing the PCE or the yield of reactive oxygen species, respectively. Shifting focus from intramolecular to intermolecular interactions, we successfully constructed and explored cyanines based on intermolecular charge transfer. These dyes, with excited-state dynamics mimicking natural photosynthesis, generate radicals and facilitate oxygen-independent hypoxic tumor PDT. Finally, we outlined the existing challenges and future directions for optimizing phototherapeutic efficacy by regulating molecular charge transfer. This Account provides molecular-level insights into improving phototherapeutic performance, offering valuable perspectives, and inspiring the development of functional dyes in other application fields.
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Affiliation(s)
- Xueze Zhao
- State Key Laboratory of Fine Chemicals, Frontiers Science Center for Smart Materials Oriented Chemical Engineering, School of Chemical Engineering, Dalian University of Technology, No. 2 Linggong Road, 116024 Dalian, China
- Department of Chemistry, The University of Hong Kong, Hong Kong SAR 999077, China
| | - Jianjun Du
- State Key Laboratory of Fine Chemicals, Frontiers Science Center for Smart Materials Oriented Chemical Engineering, School of Chemical Engineering, Dalian University of Technology, No. 2 Linggong Road, 116024 Dalian, China
| | - Wen Sun
- State Key Laboratory of Fine Chemicals, Frontiers Science Center for Smart Materials Oriented Chemical Engineering, School of Chemical Engineering, Dalian University of Technology, No. 2 Linggong Road, 116024 Dalian, China
| | - Jiangli Fan
- State Key Laboratory of Fine Chemicals, Frontiers Science Center for Smart Materials Oriented Chemical Engineering, School of Chemical Engineering, Dalian University of Technology, No. 2 Linggong Road, 116024 Dalian, China
- Ningbo Institute of Dalian University of Technology, No. 26 Yucai Road, 315016 Ningbo, China
| | - Xiaojun Peng
- State Key Laboratory of Fine Chemicals, Frontiers Science Center for Smart Materials Oriented Chemical Engineering, School of Chemical Engineering, Dalian University of Technology, No. 2 Linggong Road, 116024 Dalian, China
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4
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Chang TJB, Yang TT. Multiplexed Nanoscopy via Buffer Exchange. ACS NANO 2024. [PMID: 39143924 DOI: 10.1021/acsnano.4c06829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/16/2024]
Abstract
Understanding cellular functions, particularly in their intricate complexity, can greatly benefit from the spatial mapping of diverse molecules through multitarget single-molecule localization microscopy (SMLM). Existing methodologies, primarily restricting the encoding dimensions to color and lifetime or requiring cyclic staining, often involve broad chromatic detection, specialized optical configurations, or sophisticated labeling techniques. Here, we propose a simple approach called buffer-exchange stochastic optical reconstruction microscopy (beSTORM), which introduces an additional dimension to differentiate between single molecules irrespective of their spectral properties. This method leverages the distinguishable photoblinking responses to distinct buffer conditions, offering a straightforward yet effective means of fluorophore discrimination. Through buffer exchanges, beSTORM achieves multitarget SMLM imaging with minimal crosstalk. Direct integration with expansion microscopy (ExM) demonstrates its capability to resolve up to six proteins at the molecular level within a single emission color without chromatic aberration. Overall, beSTORM presents a highly compatible imaging platform, promising significant advancements in highly multiplexed nanoscopy for exploring multiple targets in biological systems with nanoscale precision.
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Affiliation(s)
- Ting-Jui Ben Chang
- Department of Electrical Engineering, National Taiwan University, Taipei 10617, Taiwan
- Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei 10617, Taiwan
- Department of Physics, National Taiwan University, Taipei 10617, Taiwan
- Nano Science and Technology Program, Taiwan International Graduate Program, Academia Sinica and National Taiwan University, Taipei 10617, Taiwan
| | - T Tony Yang
- Department of Electrical Engineering, National Taiwan University, Taipei 10617, Taiwan
- Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei 10617, Taiwan
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5
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Jahnke K, Struve N, Hofmann D, Gote MJ, Bach M, Kriegs M, Hausmann M. Formation of EGFRwt/EGFRvIII homo- and hetero-dimers in glioblastoma cells as detected by single molecule localization microscopy. NANOSCALE 2024; 16:15240-15255. [PMID: 39073345 DOI: 10.1039/d4nr01570c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/30/2024]
Abstract
Super-resolution microscopy has been used to show the formation of receptor clusters and adapted lipid organization of cell membranes for many members of the ErbB receptor family. The clustering behaviour depends on the receptor size and shape, possibly ligand binding or expression activity. Using single molecule localization microscopy (SMLM), we also showed this typical clustering for the epidermal growth factor receptor variant III (EGFRvIII) in glioblastoma multiforme (GBM) cells. EGFRvIII is co-expressed with the wild type (EGFRwt) and both receptors are assumed to preferentially form hetero-dimers leading to transactivation and elevated oncogenic EGFR-signalling in GBM cells. Here, we analysed EGFRvIII and EGFRwt co-localization using our already described model system of the glioblastoma cell line DKMG, displaying endogenous EGFRvIII expression. Using EGFRvIII and EGFRwt specific antibodies, EGFR localization and their potential for dimerization in a given membrane cluster were analysed by dual colour SMLM supported by novel approaches of mathematic evaluations including Ripley statistics, persistent homology and similarity algorithms. Surprisingly, cluster analysis, Ripley point-to-point distance statistics for cluster geometry and persistent homology comparing cluster topology, revealed that both EGFRvIII and EGFRwt do primarily not form hetero-dimers but the results support the hypothesis that they tend to form homo-dimers. The ratio of homo-dimers obtained by this calculation was significantly higher (>5σ, standard deviation) than expected from randomly arranged points. In comparison, hetero-dimer formation was only slightly increased. We confirmed these data by immunoprecipitation, which show no co-precipitation of EGFRvIII and EGFRwt. Furthermore, we showed that the topology of the clusters was more similar among the same type than among the different types of receptors. Taken together, these data indicate that EGFRvIII does induce oncogenic signalling by homo-dimerisation and not preferentially by hetero-dimer formation with EGFRwt. These data offer a new perspective on EGFRvIII signalling which will lead to a better understanding of this tumour associated receptor variant in GBM.
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Affiliation(s)
- Kevin Jahnke
- Kirchhoff-Institute for Physics, Heidelberg University, Im Neuenheimer Feld 227, 69120 Heidelberg, Germany.
| | - Nina Struve
- Department of Radiotherapy & Radiation Oncology, University Medical Center Hamburg - Eppendorf, Martinistr. 52, 20246 Hamburg, Germany.
| | - Daniel Hofmann
- Kirchhoff-Institute for Physics, Heidelberg University, Im Neuenheimer Feld 227, 69120 Heidelberg, Germany.
| | - Martin Julius Gote
- Kirchhoff-Institute for Physics, Heidelberg University, Im Neuenheimer Feld 227, 69120 Heidelberg, Germany.
| | - Margund Bach
- Kirchhoff-Institute for Physics, Heidelberg University, Im Neuenheimer Feld 227, 69120 Heidelberg, Germany.
| | - Malte Kriegs
- Department of Radiotherapy & Radiation Oncology, University Medical Center Hamburg - Eppendorf, Martinistr. 52, 20246 Hamburg, Germany.
| | - Michael Hausmann
- Kirchhoff-Institute for Physics, Heidelberg University, Im Neuenheimer Feld 227, 69120 Heidelberg, Germany.
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6
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McGrail C, Sears TJ, Kudtarkar P, Carter H, Gaulton K. Genetic association and machine learning improves discovery and prediction of type 1 diabetes. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.07.31.24311310. [PMID: 39132494 PMCID: PMC11312647 DOI: 10.1101/2024.07.31.24311310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 08/13/2024]
Abstract
Type 1 diabetes (T1D) has a large genetic component, and expanded genetic studies of T1D can lead to novel biological and therapeutic discovery and improved risk prediction. In this study, we performed genetic association and fine-mapping analyses in 817,718 European ancestry samples genome-wide and 29,746 samples at the MHC locus, which identified 165 independent risk signals for T1D of which 19 were novel. We used risk variants to train a machine learning model (named T1GRS) to predict T1D, which highly differentiated T1D from non-disease and type 2 diabetes (T2D) in Europeans as well as African Americans at or beyond the level of current standards. We identified extensive non-linear interactions between risk loci in T1GRS, for example between HLA-DQB1*57 and INS, coding and non-coding HLA alleles, and DEXI, INS and other beta cell loci, that provided mechanistic insight and improved risk prediction. T1D individuals formed distinct clusters based on genetic features from T1GRS which had significant differences in age of onset, HbA1c, and renal disease severity. Finally, we provided T1GRS in formats to enhance accessibility of risk prediction to any user and computing environment. Overall, the improved genetic discovery and prediction of T1D will have wide clinical, therapeutic, and research applications.
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Affiliation(s)
- Carolyn McGrail
- Biomedical sciences graduate program, University of California San Diego, La Jolla CA
| | - Timothy J. Sears
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla CA
| | - Parul Kudtarkar
- Department of Pediatrics, University of California San Diego, La Jolla CA
| | - Hannah Carter
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla CA
- Moore’s Cancer Center, University of California San Diego, La Jolla CA
- Department of Medicine, University of California San Diego, La Jolla CA
| | - Kyle Gaulton
- Department of Pediatrics, University of California San Diego, La Jolla CA
- Pediatric Diabetes Research Center, University of California San Diego, La Jolla CA
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7
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Yang Q, Hosseini E, Yao P, Pütz S, Gelléri M, Bonn M, Parekh SH, Liu X. Self-Blinking Thioflavin T for Super-resolution Imaging. J Phys Chem Lett 2024; 15:7591-7596. [PMID: 39028951 PMCID: PMC11299178 DOI: 10.1021/acs.jpclett.4c00195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 07/04/2024] [Accepted: 07/15/2024] [Indexed: 07/21/2024]
Abstract
Thioflavin T (ThT) is a typical dye used to visualize the aggregation and formation of fibrillar structures, e.g., amyloid fibrils and peptide nanofibrils. ThT has been considered to produce stable fluorescence when interacting with aggregated proteins. For single-molecule localization microscopy (SMLM)-based optical super-resolution imaging, a photoswitching/blinking fluorescence property is required. Here we demonstrate that, in contrast to previous reports, ThT exhibits intrinsic stochastic blinking properties, without the need for blinking imaging buffer, in stable binding conditions. The blinking properties (photon number, blinking time, and on-off duty cycle) of ThT at the single-molecule level (for ultralow concentrations) were investigated under different conditions. As a proof of concept, we performed SMLM imaging of ThT-labeled α-synuclein fibrils measured in air and PBS buffer.
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Affiliation(s)
- Qiqi Yang
- Max
Planck Institute for Polymer Research, Ackermannweg 10, 55128 Mainz, Germany
| | - Elnaz Hosseini
- Max
Planck Institute for Polymer Research, Ackermannweg 10, 55128 Mainz, Germany
| | - Peigen Yao
- Max
Planck Institute for Polymer Research, Ackermannweg 10, 55128 Mainz, Germany
| | - Sabine Pütz
- Max
Planck Institute for Polymer Research, Ackermannweg 10, 55128 Mainz, Germany
| | - Márton Gelléri
- Institute
of Molecular Biology gGmbH, Ackermannweg 4, 55128 Mainz, Germany
| | - Mischa Bonn
- Max
Planck Institute for Polymer Research, Ackermannweg 10, 55128 Mainz, Germany
| | - Sapun H. Parekh
- Max
Planck Institute for Polymer Research, Ackermannweg 10, 55128 Mainz, Germany
- Department
of Biomedical Engineering, University of
Texas at Austin, Austin, Texas 78712, United States
| | - Xiaomin Liu
- Max
Planck Institute for Polymer Research, Ackermannweg 10, 55128 Mainz, Germany
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8
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Campbell KR, Hallada LP, Huang YS, Solecki DJ. From Blur to Brilliance: The Ascendance of Advanced Microscopy in Neuronal Cell Biology. Annu Rev Neurosci 2024; 47:235-253. [PMID: 38608643 DOI: 10.1146/annurev-neuro-111020-090208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/14/2024]
Abstract
The intricate network of the brain's neurons and synapses poses unparalleled challenges for research, distinct from other biological studies. This is particularly true when dissecting how neurons and their functional units work at a cell biological level. While traditional microscopy has been foundational, it was unable to reveal the deeper complexities of neural interactions. However, an imaging renaissance has transformed our capabilities. Advancements in light and electron microscopy, combined with correlative imaging, now achieve unprecedented resolutions, uncovering the most nuanced neural structures. Maximizing these tools requires more than just technical proficiency. It is crucial to align research aims, allocate resources wisely, and analyze data effectively. At the heart of this evolution is interdisciplinary collaboration, where various experts come together to translate detailed imagery into significant biological insights. This review navigates the latest developments in microscopy, underscoring both the promise of and prerequisites for bending this powerful tool set to understanding neuronal cell biology.
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Affiliation(s)
- Kirby R Campbell
- Neuronal Cell Biology Division, Department of Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, Tennessee, USA;
| | - Liam P Hallada
- St. Jude Graduate School of Biomedical Sciences, St. Jude Children's Research Hospital, Memphis, Tennessee, USA
- Neuronal Cell Biology Division, Department of Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, Tennessee, USA;
| | - Yu-Shan Huang
- Neuronal Cell Biology Division, Department of Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, Tennessee, USA;
| | - David J Solecki
- Neuronal Cell Biology Division, Department of Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, Tennessee, USA;
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9
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Kumar A, Bharadwaj A, Choudhury P, Mathew SP, Jaganathan BG, Boruah BR. Tuning the excitation laser power in a stochastic optical reconstruction microscope for Alexa Fluor 647 dye in Vectashield mounting media. THE REVIEW OF SCIENTIFIC INSTRUMENTS 2024; 95:083701. [PMID: 39087814 DOI: 10.1063/5.0217409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2024] [Accepted: 07/14/2024] [Indexed: 08/02/2024]
Abstract
Super-resolution imaging techniques have fundamentally changed our understanding of cellular architecture and dynamics by surpassing the diffraction limit and enabling the visualization of subcellular details. The popular super-resolution method known as stochastic optical reconstruction microscopy (STORM) relies on the exact localization of single fluorescent molecules. The significance of employing Vectashield as a mounting medium for the super-resolution imaging scheme called direct STORM has recently been explored. Alexa Fluor 647 (AF647), one of the most popular dyes, shows significant blinking in Vectashield. However, to observe prominent blinking of the fluorophore for the reconstruction of super-resolved images, the power of the excitation laser needs to be tuned. This work demonstrates the tuning of excitation power density in the sample plane for superior imaging performance using AF647 in Vectashield. Samples comprising MDA-MB-231 breast cancer cell line are used for the experiments. The actin filaments of the cell are stained with phalloidin-conjugated AF647 dye. For the experiment, we employ a low-cost openFrame-based STORM system equipped with a programmable Arduino-regulated laser source emitting at 638 nm. An excitation power density of 0.60 kW/cm2 at 638 nm in the sample plane is observed to maximize the signal-to-noise ratio, the number of switching events, and the number of photons detected per event during image acquisition, thereby leading to the best imaging performance in terms of resolution. The outcome of this work will promote further STORM-based super-resolved imaging applications in cell biology using Alexa Fluor 647 in Vectashield.
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Affiliation(s)
- Amalesh Kumar
- Department of Physics, IIT Guwahati, Guwahati 781039, Assam, India
| | - Anupam Bharadwaj
- Department of Physics, IIT Guwahati, Guwahati 781039, Assam, India
| | | | - Sam P Mathew
- Department of Bioscience and Bioengineering, IIT Guwahati, Guwahati 781039, Assam, India
| | - Bithiah Grace Jaganathan
- Department of Bioscience and Bioengineering, IIT Guwahati, Guwahati 781039, Assam, India
- Jyoti and Bhupat Mehta School of Health Sciences and Technology, IIT Guwahati, Guwahati 781039, Assam, India
| | - Bosanta R Boruah
- Department of Physics, IIT Guwahati, Guwahati 781039, Assam, India
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10
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Bucci A, Tortarolo G, Held MO, Bega L, Perego E, Castagnetti F, Bozzoni I, Slenders E, Vicidomini G. 4D Single-particle tracking with asynchronous read-out single-photon avalanche diode array detector. Nat Commun 2024; 15:6188. [PMID: 39043637 PMCID: PMC11266502 DOI: 10.1038/s41467-024-50512-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 07/14/2024] [Indexed: 07/25/2024] Open
Abstract
Single-particle tracking techniques enable investigation of the complex functions and interactions of individual particles in biological environments. Many such techniques exist, each demonstrating trade-offs between spatiotemporal resolution, spatial and temporal range, technical complexity, and information content. To mitigate these trade-offs, we enhanced a confocal laser scanning microscope with an asynchronous read-out single-photon avalanche diode array detector. This detector provides an image of the particle's emission, precisely reflecting its position within the excitation volume. This localization is utilized in a real-time feedback system to drive the microscope scanning mechanism and ensure the particle remains centered inside the excitation volume. As each pixel is an independent single-photon detector, single-particle tracking is combined with fluorescence lifetime measurement. Our system achieves 40 nm lateral and 60 nm axial localization precision with 100 photons and sub-millisecond temporal sampling for real-time tracking. Offline tracking can refine this precision to the microsecond scale. We validated the system's spatiotemporal resolution by tracking fluorescent beads with diffusion coefficients up to 10 μm2/s. Additionally, we investigated the movement of lysosomes in living SK-N-BE cells and measured the fluorescence lifetime of the marker expressed on a membrane protein. We expect that this implementation will open other correlative imaging and tracking studies.
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Affiliation(s)
- Andrea Bucci
- Molecular Microscopy and Spectroscopy, Istituto Italiano di Tecnologia, Genoa, Italy
- Dipartimento di Informatica, Bioingegneria, Robotica e Ingegneria dei Sistemi, University of Genoa, Genoa, Italy
| | - Giorgio Tortarolo
- Molecular Microscopy and Spectroscopy, Istituto Italiano di Tecnologia, Genoa, Italy
- Laboratory of Experimental Biophysics, EPFL, Lausanne, Switzerland
| | - Marcus Oliver Held
- Molecular Microscopy and Spectroscopy, Istituto Italiano di Tecnologia, Genoa, Italy
| | - Luca Bega
- Molecular Microscopy and Spectroscopy, Istituto Italiano di Tecnologia, Genoa, Italy
| | - Eleonora Perego
- Molecular Microscopy and Spectroscopy, Istituto Italiano di Tecnologia, Genoa, Italy
- Centre for Integrative Genomics, Université de Lausanne, Lausanne, Switzerland
| | - Francesco Castagnetti
- Non coding RNAs in Physiology and Pathology, Istituto Italiano di Tecnologia, Genoa, Italy
| | - Irene Bozzoni
- Non coding RNAs in Physiology and Pathology, Istituto Italiano di Tecnologia, Genoa, Italy
- Department of Biology and Biotechnology Charles Darwin, Sapienza University, Rome, Italy
| | - Eli Slenders
- Molecular Microscopy and Spectroscopy, Istituto Italiano di Tecnologia, Genoa, Italy
| | - Giuseppe Vicidomini
- Molecular Microscopy and Spectroscopy, Istituto Italiano di Tecnologia, Genoa, Italy.
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11
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Munshi R. How Transcription Factor Clusters Shape the Transcriptional Landscape. Biomolecules 2024; 14:875. [PMID: 39062589 PMCID: PMC11274464 DOI: 10.3390/biom14070875] [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: 06/01/2024] [Revised: 07/14/2024] [Accepted: 07/16/2024] [Indexed: 07/28/2024] Open
Abstract
In eukaryotic cells, gene transcription typically occurs in discrete periods of promoter activity, interspersed with intervals of inactivity. This pattern deviates from simple stochastic events and warrants a closer examination of the molecular interactions that activate the promoter. Recent studies have identified transcription factor (TF) clusters as key precursors to transcriptional bursting. Often, these TF clusters form at chromatin segments that are physically distant from the promoter, making changes in chromatin conformation crucial for promoter-TF cluster interactions. In this review, I explore the formation and constituents of TF clusters, examining how the dynamic interplay between chromatin architecture and TF clustering influences transcriptional bursting. Additionally, I discuss techniques for visualizing TF clusters and provide an outlook on understanding the remaining gaps in this field.
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Affiliation(s)
- Rahul Munshi
- Joseph Henry Laboratories of Physics and Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA
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12
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Ravasio A, Klionsky DJ, Bertocchi C. Integrating bioengineering, super-resolution microscopy and mechanobiology in autophagy research: addendum to the guidelines (4th edition). Autophagy 2024:1-4. [PMID: 39031065 DOI: 10.1080/15548627.2024.2379065] [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: 03/13/2024] [Accepted: 07/08/2024] [Indexed: 07/22/2024] Open
Abstract
Recent key technological developments, such as super-resolution microscopy and microfabrication, enabled investigation of biological processes, including macroautophagy/autophagy, with unprecedented spatiotemporal resolution and control over experimental conditions. Such disruptive innovations deepened our capability to provide mechanistic understandings of the autophagic process and its causes. This addendum aims to expand the guidelines on autophagy in three key directions: optical methods enabling visualization of autophagic machinery beyond the diffraction-limited resolution; bioengineering enabling accurate designs and control over experimental conditions; and theoretical advances in mechanobiology connecting autophagy and mechanical processes of the cell. Abbreviation: 3D: three-dimensional; SIM: structured illumination microscopy; STORM: stochastic optical reconstruction microscopy.
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Affiliation(s)
- Andrea Ravasio
- Institute for Biological and Medical Engineering (IIBM), Schools of Engineering, Medicine and Biological Sciences, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Daniel J Klionsky
- Life Sciences Institute and Department of Molecular, Cellular and Development Biology, University of Michigan, Ann Arbor, MI, USA
| | - Cristina Bertocchi
- Faculty of Biological Sciences, Pontificia Universidad Católica de Chile, Santiago, Chile
- Graduate School of Engineering Science, Osaka University, Osaka, Japan
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13
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Zhang J, Vaidya R, Chung HJ, Selvin PR. Automatic dendritic spine segmentation in widefield fluorescence images reveal synaptic nanostructures distribution with super-resolution imaging. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.15.603616. [PMID: 39071361 PMCID: PMC11275708 DOI: 10.1101/2024.07.15.603616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/30/2024]
Abstract
Dendritic spines are the main sites for synaptic communication in neurons, and alterations in their density, size, and shapes occur in many brain disorders. Current spine segmentation methods perform poorly in conditions with low signal-to-noise and resolution, particularly in the widefield images of thick (⍰ 10 μm) brain slices. Here, we combined two open-source machine-learning models to achieve automatic 3D spine segmentation in widefield diffraction-limited fluorescence images of neurons in thick brain slices. We validated the performance by comparison with manually segmented super-resolution images of spines reconstructed from direct stochastic optical reconstruction microscopy (dSTORM). Lastly, we show an application of our approach by combining spine segmentation from diffraction-limited images with dSTORM of synaptic protein PSD-95 in the same field-of-view. This allowed us to automatically analyze and quantify the nanoscale distribution of PSD-95 inside the spine. Importantly, we found the numbers, but not the average sizes, of synaptic nanomodules and nanodomains increase with spine size.
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14
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Li C, Xie X, Li M, Wang H, Cheng X, Zhang J, Li Q, Li J, Zuo X, Fan C, Shen J. Ultrafast Super-Resolution Imaging Exploiting Spontaneous Blinking of Static Excimer Aggregates. J Am Chem Soc 2024; 146:18948-18957. [PMID: 38959409 DOI: 10.1021/jacs.4c01084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/05/2024]
Abstract
Single-molecule localization methods have been popularly exploited to obtain super-resolved images of biological structures. However, the low blinking frequency of randomly switching emission states of individual fluorophores greatly limits the imaging speed of single-molecule localization microscopy (SMLM). Here we present an ultrafast SMLM technique exploiting spontaneous fluorescence blinking of cyanine dye aggregates confined to DNA framework nanostructures. The DNA template guides the formation of static excimer aggregates as a "light-harvesting nanoantenna", whereas intermolecular excitation energy transfer (EET) between static excimers causes collective ultrafast fluorescence blinking of fluorophore aggregates. This DNA framework-based strategy enables the imaging of DNA nanostructures with 12.5-fold improvement in speed compared to conventional SMLM. Further, we demonstrate the use of this strategy to track the movement of super-resolved DNA nanostructures for over 20 min in a microfluidic system. Thus, this ultrafast SMLM holds great potential for revealing the dynamic processes of biomacromolecules in living cells.
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Affiliation(s)
- Cong Li
- School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Xiaodong Xie
- School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Mingqiang Li
- School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Haozhi Wang
- School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Xinyi Cheng
- School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Jichao Zhang
- Shanghai Synchrotron Radiation Facility, Shanghai Advanced Research Institute, Chinese Academy of Sciences, No. 239 Zhangheng Road, Shanghai 201204, China
| | - Qian Li
- School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Jiang Li
- Institute of Materiobiology, Department of Chemistry, College of Sciences, Shanghai University, Shanghai 200444, China
| | - Xiaolei Zuo
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acids Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Chunhai Fan
- School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Jianlei Shen
- School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
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15
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Liu J, Li Y, Chen T, Zhang F, Xu F. Machine Learning for Single-Molecule Localization Microscopy: From Data Analysis to Quantification. Anal Chem 2024; 96:11103-11114. [PMID: 38946062 DOI: 10.1021/acs.analchem.3c05857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/02/2024]
Abstract
Single-molecule localization microscopy (SMLM) is a versatile tool for realizing nanoscale imaging with visible light and providing unprecedented opportunities to observe bioprocesses. The integration of machine learning with SMLM enhances data analysis by improving efficiency and accuracy. This tutorial aims to provide a comprehensive overview of the data analysis process and theoretical aspects of SMLM, while also highlighting the typical applications of machine learning in this field. By leveraging advanced analytical techniques, SMLM is becoming a powerful quantitative analysis tool for biological research.
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Affiliation(s)
- Jianli Liu
- School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Yumian Li
- Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, Beijing 100081, China
- School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
| | - Tailong Chen
- Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, Beijing 100081, China
- School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
| | - Fa Zhang
- School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Fan Xu
- Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, Beijing 100081, China
- School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
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16
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Winkelmann H, Richter CP, Eising J, Piehler J, Kurre R. Correlative single-molecule and structured illumination microscopy of fast dynamics at the plasma membrane. Nat Commun 2024; 15:5813. [PMID: 38987559 PMCID: PMC11236984 DOI: 10.1038/s41467-024-49876-9] [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: 09/25/2023] [Accepted: 06/21/2024] [Indexed: 07/12/2024] Open
Abstract
Total internal reflection fluorescence (TIRF) microscopy offers powerful means to uncover the functional organization of proteins in the plasma membrane with very high spatial and temporal resolution. Traditional TIRF illumination, however, shows a Gaussian intensity profile, which is typically deteriorated by overlaying interference fringes hampering precise quantification of intensities-an important requisite for quantitative analyses in single-molecule localization microscopy (SMLM). Here, we combine flat-field illumination by using a standard πShaper with multi-angular TIR illumination by incorporating a spatial light modulator compatible with fast super-resolution structured illumination microscopy (SIM). This distinct combination enables quantitative multi-color SMLM with a highly homogenous illumination. By using a dual camera setup with optimized image splitting optics, we achieve a versatile combination of SMLM and SIM with up to three channels. We deploy this setup for establishing robust detection of receptor stoichiometries based on single-molecule intensity analysis and single-molecule Förster resonance energy transfer (smFRET). Homogeneous illumination furthermore enables long-term tracking and localization microscopy (TALM) of cell surface receptors identifying spatial heterogeneity of mobility and accessibility in the plasma membrane. By combination of TALM and SIM, spatially and molecularly heterogenous diffusion properties can be correlated with nanoscale cytoskeletal organization and dynamics.
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Affiliation(s)
- Hauke Winkelmann
- Division of Biophysics, Department of Biology/Chemistry, Osnabrück University, Barbarastraße 11, D-49076, Osnabrück, Germany
| | - Christian P Richter
- Division of Biophysics, Department of Biology/Chemistry, Osnabrück University, Barbarastraße 11, D-49076, Osnabrück, Germany
| | - Jasper Eising
- Division of Biophysics, Department of Biology/Chemistry, Osnabrück University, Barbarastraße 11, D-49076, Osnabrück, Germany
| | - Jacob Piehler
- Division of Biophysics, Department of Biology/Chemistry, Osnabrück University, Barbarastraße 11, D-49076, Osnabrück, Germany.
- Center for Cellular Nanoanalytics, Department of Biology/Chemistry, Osnabrück University, Barbarastraße 11, D-49076, Osnabrück, Germany.
| | - Rainer Kurre
- Division of Biophysics, Department of Biology/Chemistry, Osnabrück University, Barbarastraße 11, D-49076, Osnabrück, Germany.
- Center for Cellular Nanoanalytics, Department of Biology/Chemistry, Osnabrück University, Barbarastraße 11, D-49076, Osnabrück, Germany.
- Integrated Bioimaging Facility iBiOs, Department of Biology/Chemistry, Osnabrück University, Barbarastraße 11, D-49076, Osnabrück, Germany.
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17
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Shin DH, Cheong S, Lee SH, Jang YH, Park T, Han J, Shim SK, Kim YR, Han JK, Baek IK, Ghenzi N, Hwang CS. Heterogeneous density-based clustering with a dual-functional memristive array. MATERIALS HORIZONS 2024. [PMID: 38979717 DOI: 10.1039/d4mh00300d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
In the big data era, the requirement for data clustering methods that can handle massive and heterogeneous datasets with varying distributions increases. This study proposes a clustering algorithm for data sets with heterogeneous density using a dual-mode memristor crossbar array for data clustering. The array consists of a Ta/HfO2/RuO2 memristor operating in analog or digital modes, controlled by the reset voltage. The digital mode shows low dispersion and a high resistance ratio, and the analog mode enables precise conductance tuning. The local outlier factor is introduced to handle a heterogeneous density, and the required Euclidean and K-distances within the given dataset are calculated in the analog mode in parallel. In the digital mode, clustering is performed based on the connectivity among data points after excluding the detected outliers. The proposed algorithm boasts linear time complexity for the entire process. Extensive evaluations of synthetic datasets demonstrate significant improvement over representative density-based algorithms, and the datasets with heterogeneous density are clustered feasibly. Finally, the proposed algorithm is used to cluster the single-molecule localization microscopy data, demonstrating the feasibility of the suggested method for real-world problems.
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Affiliation(s)
- Dong Hoon Shin
- Department of Materials Science and Engineering and Inter-university Semiconductor Research Center, College of Engineering, Seoul National University, Seoul, 08826, Republic of Korea.
| | - Sunwoo Cheong
- Department of Materials Science and Engineering and Inter-university Semiconductor Research Center, College of Engineering, Seoul National University, Seoul, 08826, Republic of Korea.
| | - Soo Hyung Lee
- Department of Materials Science and Engineering and Inter-university Semiconductor Research Center, College of Engineering, Seoul National University, Seoul, 08826, Republic of Korea.
| | - Yoon Ho Jang
- Department of Materials Science and Engineering and Inter-university Semiconductor Research Center, College of Engineering, Seoul National University, Seoul, 08826, Republic of Korea.
| | - Taegyun Park
- Department of Materials Science and Engineering and Inter-university Semiconductor Research Center, College of Engineering, Seoul National University, Seoul, 08826, Republic of Korea.
| | - Janguk Han
- Department of Materials Science and Engineering and Inter-university Semiconductor Research Center, College of Engineering, Seoul National University, Seoul, 08826, Republic of Korea.
| | - Sung Keun Shim
- Department of Materials Science and Engineering and Inter-university Semiconductor Research Center, College of Engineering, Seoul National University, Seoul, 08826, Republic of Korea.
| | - Yeong Rok Kim
- Department of Materials Science and Engineering and Inter-university Semiconductor Research Center, College of Engineering, Seoul National University, Seoul, 08826, Republic of Korea.
| | - Joon-Kyu Han
- Department of Materials Science and Engineering and Inter-university Semiconductor Research Center, College of Engineering, Seoul National University, Seoul, 08826, Republic of Korea.
- System Semiconductor Engineering and the Department of Electronic Engineering, Sogang University, Seoul, Republic of Korea
| | - In Kyung Baek
- Department of Materials Science and Engineering and Inter-university Semiconductor Research Center, College of Engineering, Seoul National University, Seoul, 08826, Republic of Korea.
| | - Néstor Ghenzi
- Department of Materials Science and Engineering and Inter-university Semiconductor Research Center, College of Engineering, Seoul National University, Seoul, 08826, Republic of Korea.
- Universidad de Avellaneda UNDAV and Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Mario Bravo 1460, Avellaneda, Buenos Aires 1872, Argentina
| | - Cheol Seong Hwang
- Department of Materials Science and Engineering and Inter-university Semiconductor Research Center, College of Engineering, Seoul National University, Seoul, 08826, Republic of Korea.
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18
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Toropov NA, Houghton MC, Yu D, Vollmer F. Thermo-Optoplasmonic Single-Molecule Sensing on Optical Microcavities. ACS NANO 2024; 18:17534-17546. [PMID: 38924515 PMCID: PMC11238588 DOI: 10.1021/acsnano.4c00877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/28/2024]
Abstract
Whispering-gallery-mode (WGM) resonators are powerful instruments for single-molecule sensing in biological and biochemical investigations. WGM sensors leveraged by plasmonic nanostructures, known as optoplasmonic sensors, provide sensitivity down to single atomic ions. In this article, we describe that the response of optoplasmonic sensors upon the attachment of single protein molecules strongly depends on the intensity of WGM. At low intensity, protein binding causes red shifts of WGM resonance wavelengths, known as the reactive sensing mechanism. By contrast, blue shifts are obtained at high intensities, which we explain as thermo-optoplasmonic (TOP) sensing, where molecules transform absorbed WGM radiation into heat. To support our conclusions, we experimentally investigated seven molecules and complexes; we observed blue shifts for dye molecules, amino acids, and anomalous absorption of enzymes in the near-infrared spectral region. As an example of an application, we propose a physical model of TOP sensing that can be used for the development of single-molecule absorption spectrometers.
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Affiliation(s)
- Nikita A Toropov
- Department of Physics and Astronomy, University of Exeter, Exeter EX4 4QD, U.K
- Optoelectronics Research Centre, University of Southampton, Southampton SO17 1BJ, U.K
- Qingdao Innovation and Development Center, Harbin Engineering University, Qingdao, Shandong 266000, China
| | - Matthew C Houghton
- Department of Physics and Astronomy, University of Exeter, Exeter EX4 4QD, U.K
- Department of Life Sciences, University of Bath, Bath BA2 7AX, U.K
| | - Deshui Yu
- National Time Service Center, Chinese Academy of Sciences, Xi'an 710600, China
| | - Frank Vollmer
- Department of Physics and Astronomy, University of Exeter, Exeter EX4 4QD, U.K
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19
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José Habib Moraes F, Torres Coimbra de Sá Balbina F, Procópio Alves L, Uchoa Fernandes A, Munin E. Avalanche-assisted transient optical phenomenon in aggregated toluidine blue dye. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 315:124291. [PMID: 38643559 DOI: 10.1016/j.saa.2024.124291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 03/18/2024] [Accepted: 04/12/2024] [Indexed: 04/23/2024]
Abstract
Pulse-modulated CW laser heat deposition modulates the darkness or the transparency of an aggregated medium in the high signal optical regimen. A recently reported work found that transient optical responses of molecular aggregates can be different depending on whether the sample is excited with a laser wavelength tuned within the absorption band of the monomer or within the absorption band of the aggregates. The different transient responses were attributed to different dynamic processes during the laser-induced disassembling of the molecular aggregates and may have implications in the field of organic electronics and optical devices, such as optical logical gates, optical power limiters and all-optical switching. In this paper laser beams with wavelengths of 663 nm and 532 nm were used to produce sudden changes in the thermodynamic equilibrium of the aggregation states of the ortho-toluidine blue dye, which allowed to observe the occurrence of the avalanche - mediated transient phenomenon in the laser-induced disassembling of ortho-toluidine blue (TBO) aggregates. A double exponential model was adjusted to the registered transient data. The obtained values for the fast components of the transient time responses of ortho-toluidine blue dye, for the studied concentrations, ranged from ∼ 6.5 to 9.5 ms at 532 nm, and from ∼ 43 to 48 ms at 663 nm. A single beam experiment was employed to evaluate the performance of the ortho-toluidine blue dye in a beam power-damping device, driven by the simultaneous and cooperative actions of the laser induced disassembling of aggregated dye units and the thermal lensing effect. It was found that the phenomenon of laser-induced dye disassembling of TBO, acting cooperatively with the thermal lensing effect, damps the laser beam power faster than the thermal lensing phenomenon alone. In addition, the results showed that the speed of the laser beam power-damping is dye dependent.
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Affiliation(s)
- Fernando José Habib Moraes
- Center for Biomedical Engineering, Anhembi Morumbi University (UAM), Rodovia Dr Altino Bondensan 500, São José dos Campos 12247-016, SP, Brazil
| | | | - Leandro Procópio Alves
- Center for Biomedical Engineering, Anhembi Morumbi University (UAM), Rodovia Dr Altino Bondensan 500, São José dos Campos 12247-016, SP, Brazil; Center of Innovation, Technology and Education (CITE), Rodovia Dr Altino Bondensan 500, São José dos Campos 12247-016, SP, Brazil
| | - Adjaci Uchoa Fernandes
- Center for Biomedical Engineering, Anhembi Morumbi University (UAM), Rodovia Dr Altino Bondensan 500, São José dos Campos 12247-016, SP, Brazil; Center of Innovation, Technology and Education (CITE), Rodovia Dr Altino Bondensan 500, São José dos Campos 12247-016, SP, Brazil
| | - Egberto Munin
- Center of Innovation, Technology and Education (CITE), Rodovia Dr Altino Bondensan 500, São José dos Campos 12247-016, SP, Brazil.
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20
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Chen S, Wang J, Guan D, Tan B, Zhai T, Yang L, Han Y, Liu Y, Liu Q, Zhang Y. Near-Infrared Spontaneously Blinking Fluorophores for Live Cell Super-Resolution Imaging with Minimized Phototoxicity. Anal Chem 2024; 96:10860-10869. [PMID: 38889184 DOI: 10.1021/acs.analchem.4c02445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/20/2024]
Abstract
Single-molecule localization microscopy (SMLM) requires high-intensity laser irradiation, typically exceeding kW/cm2, to yield a sufficient photon count. However, this intense visible light exposure incurs substantial cellular toxicity, hindering its use in living cells. Here, we developed a class of near-infrared (NIR) spontaneously blinking fluorophores for SMLM. These NIR fluorophores are a combination of rhodamine spirolactams and merocyanine derivatives, where the rhodamine spirolactam component converts between a bright and dark state based on pH-dependent spirocyclization and merocyanine derivatives shift the excitation wavelength into the infrared. Single-molecule characterizations demonstrated their potential for SMLM. At a moderate power density of 3.93 kW/cm2, these probes exhibit duty cycle as low as 0.18% and an emission rate as high as 26,700 photons/s. Phototoxicity assessment under single-molecule imaging conditions reveals that NIR illumination (721 nm) minimizes harm to living cells. Employing these NIR fluorophores, we successfully captured time-lapse super-resolution tracking of mitochondria at a Fourier ring correlation (FRC) resolution of 69.4 nm and reconstructed the ultrastructures of endoplasmic reticulum (ER) in living cells.
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Affiliation(s)
- Song Chen
- Department of Chemistry and Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, Fudan University, Shanghai 200438, China
| | - Jing Wang
- Department of Chemistry and Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, Fudan University, Shanghai 200438, China
| | - Daoming Guan
- Department of Chemistry and Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, Fudan University, Shanghai 200438, China
| | - Baojin Tan
- School of Engineering, China Pharmaceutical University, Nanjing 211198, China
| | - Tianli Zhai
- Department of Chemistry and Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, Fudan University, Shanghai 200438, China
| | - Lu Yang
- Department of Chemistry and Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, Fudan University, Shanghai 200438, China
| | - Yuheng Han
- School of Engineering, China Pharmaceutical University, Nanjing 211198, China
| | - Yi Liu
- School of Engineering, China Pharmaceutical University, Nanjing 211198, China
| | - Qian Liu
- Department of Chemistry and Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, Fudan University, Shanghai 200438, China
| | - Yunxiang Zhang
- Department of Chemistry and Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, Fudan University, Shanghai 200438, China
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21
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Lai JZ, Lin CY, Chen SJ, Cheng YM, Abe M, Lin TC, Chien FC. Temporal-Focusing Multiphoton Excitation Single-Molecule Localization Microscopy Using Spontaneously Blinking Fluorophores. Angew Chem Int Ed Engl 2024; 63:e202404942. [PMID: 38641901 DOI: 10.1002/anie.202404942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 04/16/2024] [Accepted: 04/16/2024] [Indexed: 04/21/2024]
Abstract
Single-molecule localization microscopy (SMLM) based on temporal-focusing multiphoton excitation (TFMPE) and single-wavelength excitation is used to visualize the three-dimensional (3D) distribution of spontaneously blinking fluorophore-labeled subcellular structures in a thick specimen with a nanoscale-level spatial resolution. To eliminate the photobleaching effect of unlocalized molecules in out-of-focus regions for improving the utilization rate of the photon budget in 3D SMLM imaging, SMLM with single-wavelength TFMPE achieves wide-field and axially confined two-photon excitation (TPE) of spontaneously blinking fluorophores. TPE spectral measurement of blinking fluorophores is then conducted through TFMPE imaging at a tunable excitation wavelength, yielding the optimal TPE wavelength for increasing the number of detected photons from a single blinking event during SMLM. Subsequently, the TPE fluorescence of blinking fluorophores is recorded to obtain a two-dimensional TFMPE-SMLM image of the microtubules in cancer cells with a localization precision of 18±6 nm and an overall imaging resolution of approximately 51 nm, which is estimated based on the contribution of Nyquist resolution and localization precision. Combined with astigmatic imaging, the system is capable of 3D TFMPE-SMLM imaging of brain tissue section of a 5XFAD transgenic mouse with the pathological features of Alzheimer's disease, revealing the distribution of neurotoxic amyloid-beta peptide deposits.
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Affiliation(s)
- Jian-Zong Lai
- Department of Optics and Photonics, National Central University, No. 300, Zhongda Rd., Zhongli Dist., Taoyuan City, 32001, Taiwan
| | - Chun-Yu Lin
- College of Photonics, National Yang Ming Chiao Tung University, No.301, Sec.2, Gaofa 3rd Rd., Guiren Dist., Tainan City, 71150, Taiwan
| | - Shean-Jen Chen
- College of Photonics, National Yang Ming Chiao Tung University, No.301, Sec.2, Gaofa 3rd Rd., Guiren Dist., Tainan City, 71150, Taiwan
| | - Yu-Min Cheng
- Department of Optics and Photonics, National Central University, No. 300, Zhongda Rd., Zhongli Dist., Taoyuan City, 32001, Taiwan
| | - Manabu Abe
- Department of Chemistry, Graduate School of Advanced Science and Engineering, Hiroshima University, 1-3-1 Kagamiyama, Higashi-Hiroshima City, Hiroshima, 739-8526, Japan
| | - Tzu-Chau Lin
- Department of Chemistry, National Central University, No. 300, Zhongda Rd., Zhongli Dist., Taoyuan City, 32001, Taiwan
| | - Fan-Ching Chien
- Department of Optics and Photonics, National Central University, No. 300, Zhongda Rd., Zhongli Dist., Taoyuan City, 32001, Taiwan
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22
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Prakash K, Baddeley D, Eggeling C, Fiolka R, Heintzmann R, Manley S, Radenovic A, Smith C, Shroff H, Schermelleh L. Resolution in super-resolution microscopy - definition, trade-offs and perspectives. Nat Rev Mol Cell Biol 2024:10.1038/s41580-024-00755-7. [PMID: 38951703 DOI: 10.1038/s41580-024-00755-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/11/2024] [Indexed: 07/03/2024]
Affiliation(s)
- Kirti Prakash
- Division of Molecular Pathology, The Institute of Cancer Research, London, UK.
- The Royal Marsden NHS Foundation Trust, London, UK.
| | - David Baddeley
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
| | - Christian Eggeling
- Institute of Applied Optics and Biophysics and Abbe Center of Photonics, Friedrich-Schiller-University Jena, Jena, Germany.
- Leibniz Institute of Photonic Technology, Jena, Germany.
| | - Reto Fiolka
- Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA.
| | - Rainer Heintzmann
- Leibniz Institute of Photonic Technology, Jena, Germany.
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich-Schiller-University Jena, Jena, Germany.
| | - Suliana Manley
- Laboratory of Experimental Biophysics, School of Basic Sciences, Institute of Physics, Interfaculty Institute of Bioengineering, EPFL SB-LEB, Lausanne, Switzerland.
| | - Aleksandra Radenovic
- Laboratory of Nanoscale Biology, School of Engineering, Institute of Bioengineering, EPFL STI IBI-STI LBEN, Lausanne, Switzerland.
| | - Carlas Smith
- Delft Center for Systems and Control, Faculty of Mechanical, Maritime, and Materials Engineering, Technische Universiteit Delft, Delft, The Netherlands.
| | - Hari Shroff
- Janelia Research Campus, Howard Hughes Medical Institute (HHMI), Ashburn, VA, USA.
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23
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Go GE, Jeong U, Park H, Go S, Kim D. Photoswitching Reagent for Super-Resolution Fluorescence Microscopy. Angew Chem Int Ed Engl 2024; 63:e202405246. [PMID: 38622700 DOI: 10.1002/anie.202405246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2024] [Revised: 04/14/2024] [Accepted: 04/15/2024] [Indexed: 04/17/2024]
Abstract
Single-molecule localization microscopy (SMLM) has revolutionized optical microscopy by exceeding the diffraction limit and revealing previously unattainable nanoscale details of cellular structures and molecular dynamics. This super-resolution imaging capability relies on fluorophore photoswitching, which is crucial for optimizing the imaging conditions and accurately determining the fluorophore positions. To understand the general on and off photoswitching mechanisms of single dye molecules, various photoswitching reagents were evaluated. Systematic measurement of the single-molecule-level fluorescence on and off rates (kon and koff) in the presence of various photoswitching reagents and theoretical calculation of the structure of the photoswitching reagent-fluorophore pair indicated that the switch-off mechanism is mainly determined by the nucleophilicity of the photoswitching reagent, and the switch-on mechanism is a two-photon-induced dissociation process, which is related to the power of the illuminating laser and bond dissociation energy of this pair. This study contributes to a broader understanding of the molecular photoswitching mechanism in SMLM imaging and provides a basis for designing improved photoswitching reagents with potential applications extending to materials science and chemistry.
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Affiliation(s)
- Ga-Eun Go
- Department of Chemistry, Hanyang University, Seoul, 04763, Republic of Korea
| | - Uidon Jeong
- Department of Chemistry, Hanyang University, Seoul, 04763, Republic of Korea
| | - Hyunbum Park
- Department of Chemistry, Hanyang University, Seoul, 04763, Republic of Korea
| | - Seokran Go
- Department of Chemistry, Hanyang University, Seoul, 04763, Republic of Korea
| | - Doory Kim
- Department of Chemistry, Hanyang University, Seoul, 04763, Republic of Korea
- Research Institute for Convergence of Basic Science, Institute of Nano Science and Technology, and Research Institute for Natural Sciences, Seoul, 04763, Republic of Korea
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24
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Lakadamyali M. From feulgen to modern methods: marking a century of DNA imaging advances. Histochem Cell Biol 2024; 162:13-22. [PMID: 38753186 PMCID: PMC11227465 DOI: 10.1007/s00418-024-02291-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/18/2024] [Indexed: 07/07/2024]
Abstract
The mystery of how human DNA is compactly packaged into a nucleus-a space a hundred thousand times smaller-while still allowing for the regulation of gene function, has long been one of the greatest enigmas in cell biology. This puzzle is gradually being solved, thanks in part to the advent of new technologies. Among these, innovative genome-labeling techniques combined with high-resolution imaging methods have been pivotal. These methods facilitate the visualization of DNA within intact nuclei and have significantly contributed to our current understanding of genome organization. This review will explore various labeling and imaging approaches that are revolutionizing our understanding of the three-dimensional organization of the genome, shedding light on the relationship between its structure and function.
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Affiliation(s)
- Melike Lakadamyali
- Department of Physiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA.
- Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA.
- Perelman School of Medicine, Epigenetics Institute, University of Pennsylvania, Philadelphia, USA.
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25
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Coventry BS, Bartlett EL. Practical Bayesian Inference in Neuroscience: Or How I Learned to Stop Worrying and Embrace the Distribution. eNeuro 2024; 11:ENEURO.0484-23.2024. [PMID: 38918054 PMCID: PMC11270157 DOI: 10.1523/eneuro.0484-23.2024] [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: 11/19/2023] [Revised: 05/17/2024] [Accepted: 06/18/2024] [Indexed: 06/27/2024] Open
Abstract
Typical statistical practices in the biological sciences have been increasingly called into question due to difficulties in the replication of an increasing number of studies, many of which are confounded by the relative difficulty of null significance hypothesis testing designs and interpretation of p-values. Bayesian inference, representing a fundamentally different approach to hypothesis testing, is receiving renewed interest as a potential alternative or complement to traditional null significance hypothesis testing due to its ease of interpretation and explicit declarations of prior assumptions. Bayesian models are more mathematically complex than equivalent frequentist approaches, which have historically limited applications to simplified analysis cases. However, the advent of probability distribution sampling tools with exponential increases in computational power now allows for quick and robust inference under any distribution of data. Here we present a practical tutorial on the use of Bayesian inference in the context of neuroscientific studies in both rat electrophysiological and computational modeling data. We first start with an intuitive discussion of Bayes' rule and inference followed by the formulation of Bayesian-based regression and ANOVA models using data from a variety of neuroscientific studies. We show how Bayesian inference leads to easily interpretable analysis of data while providing an open-source toolbox to facilitate the use of Bayesian tools.
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Affiliation(s)
- Brandon S Coventry
- Department of Neurological Surgery and the Wisconsin Institute for Translational Neuroengineering, University of Wisconsin-Madison, Madison, Wisconsin 53705
| | - Edward L Bartlett
- Weldon School of Biomedical Engineering, Department of Biological Sciences, and the Institute for Integrative Neuroscience, Purdue University, West Lafayette, Indiana 47907
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26
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Cheung BCH, Abbed RJ, Wu M, Leggett SE. 3D Traction Force Microscopy in Biological Gels: From Single Cells to Multicellular Spheroids. Annu Rev Biomed Eng 2024; 26:93-118. [PMID: 38316064 DOI: 10.1146/annurev-bioeng-103122-031130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2024]
Abstract
Cell traction force plays a critical role in directing cellular functions, such as proliferation, migration, and differentiation. Current understanding of cell traction force is largely derived from 2D measurements where cells are plated on 2D substrates. However, 2D measurements do not recapitulate a vital aspect of living systems; that is, cells actively remodel their surrounding extracellular matrix (ECM), and the remodeled ECM, in return, can have a profound impact on cell phenotype and traction force generation. This reciprocal adaptivity of living systems is encoded in the material properties of biological gels. In this review, we summarize recent progress in measuring cell traction force for cells embedded within 3D biological gels, with an emphasis on cell-ECM cross talk. We also provide perspectives on tools and techniques that could be adapted to measure cell traction force in complex biochemical and biophysical environments.
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Affiliation(s)
- Brian C H Cheung
- Department of Biological and Environmental Engineering, Cornell University, Ithaca, New York, USA;
| | - Rana J Abbed
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, Illinois, USA;
| | - Mingming Wu
- Department of Biological and Environmental Engineering, Cornell University, Ithaca, New York, USA;
| | - Susan E Leggett
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, Illinois, USA;
- Cancer Center at Illinois, University of Illinois Urbana-Champaign, Urbana, Illinois, USA
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27
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Zheng H, Zhou Y, Yan B, Zhou G, Cheng X, Lin S, Duan M, Li J, Wang L, Fan C, Chen J, Shen J. DNA Framework-Guided Self-Limiting Aggregation for Highly Luminescent Metal Cluster Nanoaggregates. J Am Chem Soc 2024; 146:17094-17102. [PMID: 38867462 DOI: 10.1021/jacs.4c02401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2024]
Abstract
The photoluminescent properties of atomically precise metal nanoclusters (MCs) have garnered significant attention in the fields of chemical sensing and biological imaging. However, the limited brightness of single-component nanoclusters hinders their practical applications, and the conventional ligand engineering approaches have proven insufficient in enhancing the emission efficiency of MCs. Here, we present a DNA framework-guided strategy to prepare highly luminescent metal cluster nanoaggregates. Our approach involves an amphiphilic DNA framework comprising a hydrophobic alkyl core and a rigid DNA framework shell, serving as a nucleation site and providing well-defined nanoconfinements for the self-limiting aggregation of MCs. Through this method, we successfully produced homogeneous MC nanoaggregates (10.1 ± 1.2 nm) with remarkable nanoscale precision. Notably, this strategy proves adaptable to various MCs, leading to a substantial enhancement in emission and quantum yield, up to 3011- and 87-fold, respectively. Furthermore, our investigation using total internal reflection fluorescence microscopy at the single-particle level uncovered a more uniform photon number distribution and higher photostability for MC nanoaggregates compared to template-free counterparts. This DNA-templating strategy introduces a conceptually innovative approach for studying the photoluminescent properties of aggregates with nanoscale precision and holds promise for constructing highly luminescent MC nanoparticles for diverse applications.
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Affiliation(s)
- Haoran Zheng
- School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Yan Zhou
- School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Bingjie Yan
- School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Gaoang Zhou
- School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Xinyi Cheng
- School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Sicheng Lin
- School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Mulin Duan
- School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Jiang Li
- Institute of Materiobiology, Department of Chemistry, College of Sciences, Shanghai University, Shanghai 200444, China
| | - Lihua Wang
- Institute of Materiobiology, Department of Chemistry, College of Sciences, Shanghai University, Shanghai 200444, China
| | - Chunhai Fan
- School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Jing Chen
- Institute of Materiobiology, Department of Chemistry, College of Sciences, Shanghai University, Shanghai 200444, China
| | - Jianlei Shen
- School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
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28
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Li Y, Bai X, Yang D. Development and Application of Cationic Nile Blue Probes in Live-Cell Super-Resolution Imaging and Specific Targeting to Mitochondria. ACS CENTRAL SCIENCE 2024; 10:1221-1230. [PMID: 38947205 PMCID: PMC11212141 DOI: 10.1021/acscentsci.4c00073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 04/28/2024] [Accepted: 05/09/2024] [Indexed: 07/02/2024]
Abstract
Mitochondria are essential organelles involved in various metabolic processes in eukaryotes. The imaging, targeting, and investigation of cell death mechanisms related to mitochondria have garnered significant interest. Small-molecule fluorescent probes have proven to be robust tools for utilizing light to advance the study of mitochondrial biology. In this study, we present the rational design of cationic Nile blue probes carrying a permanent positive charge for these purposes. The cationic Nile blue probes exhibit excellent mitochondrial permeability, unique solvatochromism, and resistance to oxidation. We observed weaker fluorescence in aqueous solutions compared to lipophilic solvents, thereby minimizing background fluorescence in the cytoplasm. Additionally, we achieved photoredox switching of the cationic Nile blue probes under mild conditions. This enabled us to demonstrate their application for the first time in single-molecule localization microscopy of mitochondria, allowing us to observe mitochondrial fission and fusion behaviors. Compared to conventional cyanine fluorophores, this class of dyes demonstrated prolonged resistance to photobleaching, likely due to their antioxidation properties. Furthermore, we extended the application of cationic Nile blue probes to the mitochondria-specific delivery of taxanes, facilitating the study of direct interactions between the drug and organelles. Our approach to triggering cell death without reliance on microtubule binding provides valuable insights into anticancer drug research and drug-resistance mechanisms.
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Affiliation(s)
- Yunsheng Li
- School
of Life Sciences, Westlake University, Hangzhou 310024, China
- Morningside
Laboratory for Chemical Biology, Department of Chemistry, The University of Hong Kong, Hong Kong 999077, China
| | - Xiaoyu Bai
- Morningside
Laboratory for Chemical Biology, Department of Chemistry, The University of Hong Kong, Hong Kong 999077, China
| | - Dan Yang
- School
of Life Sciences, Westlake University, Hangzhou 310024, China
- Westlake
Laboratory of Life Sciences and Biomedicine, Hangzhou 310024, China
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29
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Liu J, Tan YY, Zheng W, Wang Y, Ju LA, Su QP. Nanoscale insights into hematology: super-resolved imaging on blood cell structure, function, and pathology. J Nanobiotechnology 2024; 22:363. [PMID: 38910248 PMCID: PMC11194919 DOI: 10.1186/s12951-024-02605-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Accepted: 05/30/2024] [Indexed: 06/25/2024] Open
Abstract
Fluorescence nanoscopy, also known as super-resolution microscopy, has transcended the conventional resolution barriers and enabled visualization of biological samples at nanometric resolutions. A series of super-resolution techniques have been developed and applied to investigate the molecular distribution, organization, and interactions in blood cells, as well as the underlying mechanisms of blood-cell-associated diseases. In this review, we provide an overview of various fluorescence nanoscopy technologies, outlining their current development stage and the challenges they are facing in terms of functionality and practicality. We specifically explore how these innovations have propelled forward the analysis of thrombocytes (platelets), erythrocytes (red blood cells) and leukocytes (white blood cells), shedding light on the nanoscale arrangement of subcellular components and molecular interactions. We spotlight novel biomarkers uncovered by fluorescence nanoscopy for disease diagnosis, such as thrombocytopathies, malignancies, and infectious diseases. Furthermore, we discuss the technological hurdles and chart out prospective avenues for future research directions. This review aims to underscore the significant contributions of fluorescence nanoscopy to the field of blood cell analysis and disease diagnosis, poised to revolutionize our approach to exploring, understanding, and managing disease at the molecular level.
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Affiliation(s)
- Jinghan Liu
- School of Biomedical Engineering, University of Technology Sydney, Sydney, NSW, 2007, Australia
| | - Yuping Yolanda Tan
- Charles Perkins Centre, The University of Sydney, Camperdown, NSW, 2006, Australia
- Heart Research Institute, Newtown, NSW, 2042, Australia
| | - Wen Zheng
- School of Biomedical Engineering, University of Technology Sydney, Sydney, NSW, 2007, Australia
| | - Yao Wang
- School of Biomedical Engineering, The University of Sydney, Darlington, NSW, 2008, Australia
| | - Lining Arnold Ju
- School of Biomedical Engineering, The University of Sydney, Darlington, NSW, 2008, Australia
- Charles Perkins Centre, The University of Sydney, Camperdown, NSW, 2006, Australia
- Heart Research Institute, Newtown, NSW, 2042, Australia
| | - Qian Peter Su
- School of Biomedical Engineering, University of Technology Sydney, Sydney, NSW, 2007, Australia.
- Heart Research Institute, Newtown, NSW, 2042, Australia.
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30
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Liu W, Zheng F, Ma C, Xu W, Chen Y, Sha J. Single-Digit Nanobubble Sensing via Nanopore Technology. Anal Chem 2024; 96:9544-9550. [PMID: 38809167 DOI: 10.1021/acs.analchem.4c01035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/30/2024]
Abstract
Nanobubbles play an important role in diverse fields, including engineering, medicine, and agriculture. Understanding the characteristics of individual nanobubbles is essential for comprehending fluid dynamics behaviors and advancing nanoscale science across various fields. Here, we report a strategy based on nanopore sensors for characterizing single-digit nanobubbles. We investigated the sizes and diffusion coefficients of nanobubbles at different voltages. Additionally, the finite element simulation and molecular dynamics simulation were introduced to account for counterion concentration variation around nanobubbles in the nanopore. In particular, the differences in stability and surface charge density of nanobubbles under various solution environments have been studied by the ion-stabilized model and the DLVO theory. Additionally, a straightforward method to mitigate nanobubble generation in the bulk for reducing current noise in nanopore sensing was suggested. The results hold significant implications for enhancing the understanding of individual nanobubble characterizations, especially in the nanofluid field.
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Affiliation(s)
- Wei Liu
- Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing 211189, China
- School of Mechanical Engineering, Southeast University, Nanjing 211189, China
- Department of Chemistry & Chemical Engineering, Chalmers University of Technology, Gothenburg 41296, Sweden
| | - Fei Zheng
- Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing 211189, China
- School of Mechanical Engineering, Southeast University, Nanjing 211189, China
- Cavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, United Kingdom
- School of Nanoscience and Nanotechnology, University of Chinese Academy of Sciences, Beijing 101408, China
| | - Chaofan Ma
- Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing 211189, China
- School of Mechanical Engineering, Southeast University, Nanjing 211189, China
| | - Wei Xu
- Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing 211189, China
- School of Mechanical Engineering, Southeast University, Nanjing 211189, China
| | - Yunfei Chen
- Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing 211189, China
- School of Mechanical Engineering, Southeast University, Nanjing 211189, China
| | - Jingjie Sha
- Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing 211189, China
- School of Mechanical Engineering, Southeast University, Nanjing 211189, China
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31
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Coppini A, Falconieri A, Mualem O, Nasrin SR, Roudon M, Saper G, Hess H, Kakugo A, Raffa V, Shefi O. Can repetitive mechanical motion cause structural damage to axons? Front Mol Neurosci 2024; 17:1371738. [PMID: 38912175 PMCID: PMC11191579 DOI: 10.3389/fnmol.2024.1371738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Accepted: 05/23/2024] [Indexed: 06/25/2024] Open
Abstract
Biological structures have evolved to very efficiently generate, transmit, and withstand mechanical forces. These biological examples have inspired mechanical engineers for centuries and led to the development of critical insights and concepts. However, progress in mechanical engineering also raises new questions about biological structures. The past decades have seen the increasing study of failure of engineered structures due to repetitive loading, and its origin in processes such as materials fatigue. Repetitive loading is also experienced by some neurons, for example in the peripheral nervous system. This perspective, after briefly introducing the engineering concept of mechanical fatigue, aims to discuss the potential effects based on our knowledge of cellular responses to mechanical stresses. A particular focus of our discussion are the effects of mechanical stress on axons and their cytoskeletal structures. Furthermore, we highlight the difficulty of imaging these structures and the promise of new microscopy techniques. The identification of repair mechanisms and paradigms underlying long-term stability is an exciting and emerging topic in biology as well as a potential source of inspiration for engineers.
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Affiliation(s)
| | | | - Oz Mualem
- Faculty of Engineering, Bar Ilan Institute of Nanotechnologies and Advanced Materials, Gonda Brain Research Center, Bar Ilan University, Ramat Gan, Israel
| | - Syeda Rubaiya Nasrin
- Graduate School of Science, Division of Physics and Astronomy, Kyoto University, Kyoto, Japan
| | - Marine Roudon
- Department of Biomedical Engineering, Columbia University, New York, NY, United States
| | - Gadiel Saper
- Department of Biomedical Engineering, Columbia University, New York, NY, United States
| | - Henry Hess
- Department of Biomedical Engineering, Columbia University, New York, NY, United States
| | - Akira Kakugo
- Graduate School of Science, Division of Physics and Astronomy, Kyoto University, Kyoto, Japan
| | | | - Orit Shefi
- Faculty of Engineering, Bar Ilan Institute of Nanotechnologies and Advanced Materials, Gonda Brain Research Center, Bar Ilan University, Ramat Gan, Israel
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32
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Morano NC, Lopez DH, Meltzer H, Sergeeva AP, Katsamba PS, Rostam KD, Gupta HP, Becker JE, Bornstein B, Cosmanescu F, Schuldiner O, Honig B, Mann RS, Shapiro L. Cis inhibition of co-expressed DIPs and Dprs shapes neural development. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.04.583391. [PMID: 38895375 PMCID: PMC11185508 DOI: 10.1101/2024.03.04.583391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2024]
Abstract
In Drosophila , two interacting adhesion protein families, Dprs and DIPs, coordinate the assembly of neural networks. While intercellular DIP/Dpr interactions have been well characterized, DIPs and Dprs are often co-expressed within the same cells, raising the question as to whether they also interact in cis . We show, in cultured cells and in vivo, that DIP-α and DIP-δ can interact in cis with their ligands, Dpr6/10 and Dpr12, respectively. When co-expressed in cis with their cognate partners, these Dprs regulate the extent of trans binding, presumably through competitive cis interactions. We demonstrate the neurodevelopmental effects of cis inhibition in fly motor neurons and in the mushroom body. We further show that a long disordered region of DIP-α at the C-terminus is required for cis but not trans interactions, likely because it alleviates geometric constraints on cis binding. Thus, the balance between cis and trans interactions plays a role in controlling neural development.
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33
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Nogin Y, Sapir D, Zur TD, Weinberger N, Belinkov Y, Ebenstein Y, Shechtman Y. OM2Seq: learning retrieval embeddings for optical genome mapping. BIOINFORMATICS ADVANCES 2024; 4:vbae079. [PMID: 38915884 PMCID: PMC11194751 DOI: 10.1093/bioadv/vbae079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 04/27/2024] [Accepted: 05/28/2024] [Indexed: 06/26/2024]
Abstract
Motivation Genomics-based diagnostic methods that are quick, precise, and economical are essential for the advancement of precision medicine, with applications spanning the diagnosis of infectious diseases, cancer, and rare diseases. One technology that holds potential in this field is optical genome mapping (OGM), which is capable of detecting structural variations, epigenomic profiling, and microbial species identification. It is based on imaging of linearized DNA molecules that are stained with fluorescent labels, that are then aligned to a reference genome. However, the computational methods currently available for OGM fall short in terms of accuracy and computational speed. Results This work introduces OM2Seq, a new approach for the rapid and accurate mapping of DNA fragment images to a reference genome. Based on a Transformer-encoder architecture, OM2Seq is trained on acquired OGM data to efficiently encode DNA fragment images and reference genome segments to a common embedding space, which can be indexed and efficiently queried using a vector database. We show that OM2Seq significantly outperforms the baseline methods in both computational speed (by 2 orders of magnitude) and accuracy. Availability and implementation https://github.com/yevgenin/om2seq.
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Affiliation(s)
- Yevgeni Nogin
- Russel Berrie Nanotechnology Institute, Technion, Haifa 320003, Israel
| | - Danielle Sapir
- Faculty of Electrical and Computer Engineering, Technion, Haifa 320003, Israel
| | - Tahir Detinis Zur
- Department of Chemistry, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Nir Weinberger
- Faculty of Electrical and Computer Engineering, Technion, Haifa 320003, Israel
| | | | - Yuval Ebenstein
- Department of Chemistry, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv 6997801, Israel
- Department of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Yoav Shechtman
- Russel Berrie Nanotechnology Institute, Technion, Haifa 320003, Israel
- Department of Biomedical Engineering, Technion, Haifa 320003, Israel
- Lorry I. Lokey Center for Life Sciences and Engineering, Technion, Haifa 320003, Israel
- Department of Mechanical Engineering, University of Texas at Austin, Austin, TX 78712, United States
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34
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Teixeira P, Galland R, Chevrollier A. Super-resolution microscopies, technological breakthrough to decipher mitochondrial structure and dynamic. Semin Cell Dev Biol 2024; 159-160:38-51. [PMID: 38310707 DOI: 10.1016/j.semcdb.2024.01.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 01/08/2024] [Accepted: 01/25/2024] [Indexed: 02/06/2024]
Abstract
Mitochondria are complex organelles with an outer membrane enveloping a second inner membrane that creates a vast matrix space partitioned by pockets or cristae that join the peripheral inner membrane with several thin junctions. Several micrometres long, mitochondria are generally close to 300 nm in diameter, with membrane layers separated by a few tens of nanometres. Ultrastructural data from electron microscopy revealed the structure of these mitochondria, while conventional optical microscopy revealed their extraordinary dynamics through fusion, fission, and migration processes but its limited resolution power restricted the possibility to go further. By overcoming the limits of light diffraction, Super-Resolution Microscopy (SRM) now offers the potential to establish the links between the ultrastructure and remodelling of mitochondrial membranes, leading to major advances in our understanding of mitochondria's structure-function. Here we review the contributions of SRM imaging to our understanding of the relationship between mitochondrial structure and function. What are the hopes for these new imaging approaches which are particularly important for mitochondrial pathologies?
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Affiliation(s)
- Pauline Teixeira
- Univ. Angers, INSERM, CNRS, MITOVASC, Equipe MITOLAB, SFR ICAT, F-49000 Angers, France
| | - Rémi Galland
- Univ. Bordeaux, CNRS, Interdisciplinary Institute for Neuroscience, IINS, UMR 5297, F-33000 Bordeaux, France
| | - Arnaud Chevrollier
- Univ. Angers, INSERM, CNRS, MITOVASC, Equipe MITOLAB, SFR ICAT, F-49000 Angers, France.
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35
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Gao Z, Han K, Hua X, Liu W, Jia S. hydroSIM: super-resolution speckle illumination microscopy with a hydrogel diffuser. BIOMEDICAL OPTICS EXPRESS 2024; 15:3574-3585. [PMID: 38867780 PMCID: PMC11166422 DOI: 10.1364/boe.521521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 03/27/2024] [Accepted: 04/18/2024] [Indexed: 06/14/2024]
Abstract
Super-resolution microscopy has emerged as an indispensable methodology for probing the intricacies of cellular biology. Structured illumination microscopy (SIM), in particular, offers an advantageous balance of spatial and temporal resolution, allowing for visualizing cellular processes with minimal disruption to biological specimens. However, the broader adoption of SIM remains hampered by the complexity of instrumentation and alignment. Here, we introduce speckle-illumination super-resolution microscopy using hydrogel diffusers (hydroSIM). The study utilizes the high scattering and optical transmissive properties of hydrogel materials and realizes a remarkably simplified approach to plug-in super-resolution imaging via a common epi-fluorescence platform. We demonstrate the hydroSIM system using various phantom and biological samples, and the results exhibited effective 3D resolution doubling, optical sectioning, and high contrast. We foresee hydroSIM, a cost-effective, biocompatible, and user-accessible super-resolution methodology, to significantly advance a wide range of biomedical imaging and applications.
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Affiliation(s)
- Zijun Gao
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia 30332, USA
- Parker H. Petit Institute for Bioengineering and Biosciences, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
- School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
| | - Keyi Han
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia 30332, USA
| | - Xuanwen Hua
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia 30332, USA
| | - Wenhao Liu
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia 30332, USA
| | - Shu Jia
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia 30332, USA
- Parker H. Petit Institute for Bioengineering and Biosciences, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
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36
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Budiarta M, Streit M, Beliu G. Site-specific protein labeling strategies for super-resolution microscopy. Curr Opin Chem Biol 2024; 80:102445. [PMID: 38490137 DOI: 10.1016/j.cbpa.2024.102445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Revised: 02/28/2024] [Accepted: 02/28/2024] [Indexed: 03/17/2024]
Abstract
Super-resolution microscopy (SRM) has transformed our understanding of proteins' subcellular organization and revealed cellular details down to nanometers, far beyond conventional microscopy. While localization precision is independent of the number of fluorophores attached to a biomolecule, labeling density is a decisive factor for resolving complex biological structures. The average distance between adjacent fluorophores should be less than half the desired spatial resolution for optimal clarity. While this was not a major limitation in recent decades, the success of modern microscopy approaching molecular resolution down to the single-digit nanometer range will depend heavily on advancements in fluorescence labeling. This review highlights recent advances and challenges in labeling strategies for SRM, focusing on site-specific labeling technologies. These advancements are crucial for improving SRM precision and expanding our understanding of molecular interactions.
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Affiliation(s)
- Made Budiarta
- Rudolf Virchow Center, Research Center for Integrative and Translational Bioimaging, University of Würzburg, 97080 Würzburg, Germany
| | - Marcel Streit
- Rudolf Virchow Center, Research Center for Integrative and Translational Bioimaging, University of Würzburg, 97080 Würzburg, Germany
| | - Gerti Beliu
- Rudolf Virchow Center, Research Center for Integrative and Translational Bioimaging, University of Würzburg, 97080 Würzburg, Germany; Interdisciplinary Institute for Neuroscience, University of Bordeaux, CNRS, UMR 5297, 33076 Bordeaux, France.
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37
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Liu S, Chen J, Hellgoth J, Müller LR, Ferdman B, Karras C, Xiao D, Lidke KA, Heintzmann R, Shechtman Y, Li Y, Ries J. Universal inverse modeling of point spread functions for SMLM localization and microscope characterization. Nat Methods 2024; 21:1082-1093. [PMID: 38831208 DOI: 10.1038/s41592-024-02282-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 04/16/2024] [Indexed: 06/05/2024]
Abstract
The point spread function (PSF) of a microscope describes the image of a point emitter. Knowing the accurate PSF model is essential for various imaging tasks, including single-molecule localization, aberration correction and deconvolution. Here we present universal inverse modeling of point spread functions (uiPSF), a toolbox to infer accurate PSF models from microscopy data, using either image stacks of fluorescent beads or directly images of blinking fluorophores, the raw data in single-molecule localization microscopy (SMLM). Our modular framework is applicable to a variety of microscope modalities and the PSF model incorporates system- or sample-specific characteristics, for example, the bead size, field- and depth- dependent aberrations, and transformations among channels. We demonstrate its application in single or multiple channels or large field-of-view SMLM systems, 4Pi-SMLM, and lattice light-sheet microscopes using either bead data or single-molecule blinking data.
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Affiliation(s)
- Sheng Liu
- Department of Physics and Astronomy, University of New Mexico, Albuquerque, NM, USA
- European Molecular Biology Laboratory, Cell Biology and Biophysics, Heidelberg, Germany
| | - Jianwei Chen
- Department of Biomedical Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Southern University of Science and Technology, Shenzhen, China
- Collaboration for joint PhD degree between Southern University of Science and Technology and Harbin Institute of Technology, Harbin, China
| | - Jonas Hellgoth
- European Molecular Biology Laboratory, Cell Biology and Biophysics, Heidelberg, Germany
- Faculty of Biosciences, Collaboration for joint PhD degree from EMBL and Heidelberg University, Heidelberg, Germany
| | - Lucas-Raphael Müller
- European Molecular Biology Laboratory, Cell Biology and Biophysics, Heidelberg, Germany
- Machine Learning in Science, Excellence Cluster Machine Learning, University of Tübingen, Tübingen, Germany
| | - Boris Ferdman
- Department of Biomedical Engineering, Technion-Israel Institute of Technology, Haifa, Israel
| | - Christian Karras
- Leibniz Institute of Photonic Technology, Jena, Germany
- JENOPTIK Optical Systems, Jena, Germany
| | - Dafei Xiao
- Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, Israel
| | - Keith A Lidke
- Department of Physics and Astronomy, University of New Mexico, Albuquerque, NM, USA
| | - Rainer Heintzmann
- Leibniz Institute of Photonic Technology, Jena, Germany
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich-Schiller-University Jena, Jena, Germany
| | - Yoav Shechtman
- Department of Biomedical Engineering, Technion-Israel Institute of Technology, Haifa, Israel
- Department of Mechanical Engineering, The University of Texas at Austin, Austin, TX, USA
| | - Yiming Li
- Department of Biomedical Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Southern University of Science and Technology, Shenzhen, China.
| | - Jonas Ries
- European Molecular Biology Laboratory, Cell Biology and Biophysics, Heidelberg, Germany.
- Max Perutz Labs, Vienna Biocenter Campus, Vienna, Austria.
- Department of Structural and Computational Biology, Center for Molecular Biology, University of Vienna, Vienna, Austria.
- Faculty of Physics, University of Vienna, Vienna, Austria.
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38
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Bíró P, Novák T, Czvik E, Mihály J, Szikora S, van de Linde S, Erdélyi M. Triggered cagedSTORM microscopy. BIOMEDICAL OPTICS EXPRESS 2024; 15:3715-3726. [PMID: 38867795 PMCID: PMC11166440 DOI: 10.1364/boe.517480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 03/28/2024] [Accepted: 03/29/2024] [Indexed: 06/14/2024]
Abstract
In standard SMLM methods, the photoswitching of single fluorescent molecules and the data acquisition processes are independent, which leads to the detection of single molecule blinking events on several consecutive frames. This mismatch results in several data points with reduced localization precision, and it also increases the possibilities of overlapping. Here we discuss how the synchronization of the fluorophores' ON state to the camera exposure time increases the average intensity of the captured point spread functions and hence improves the localization precision. Simulations and theoretical results show that such synchronization leads to fewer localizations with 15% higher sum signal on average, while reducing the probability of overlaps by 10%.
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Affiliation(s)
- Péter Bíró
- Department of Optics and Quantum Electronics, University of Szeged, Dóm tér 9, Szeged 6720, Hungary
| | - Tibor Novák
- Department of Optics and Quantum Electronics, University of Szeged, Dóm tér 9, Szeged 6720, Hungary
| | - Elvira Czvik
- Department of Optics and Quantum Electronics, University of Szeged, Dóm tér 9, Szeged 6720, Hungary
| | - József Mihály
- Institute of Genetics, HUN-REN Biological Research Centre Szeged, Temesvári körút 62, Szeged 6726, Hungary
- Department of Genetics, University of Szeged, Közép fasor 52, Szeged 6726, Hungary
| | - Szilárd Szikora
- Institute of Genetics, HUN-REN Biological Research Centre Szeged, Temesvári körút 62, Szeged 6726, Hungary
| | - Sebastian van de Linde
- Department of Physics, SUPA, University of Strathclyde, Glasgow G4 0NG, Scotland, United Kingdom
| | - Miklós Erdélyi
- Department of Optics and Quantum Electronics, University of Szeged, Dóm tér 9, Szeged 6720, Hungary
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Martin A, Rivera-Fuentes P. Fluorogenic polymethine dyes by intramolecular cyclization. Curr Opin Chem Biol 2024; 80:102444. [PMID: 38520774 DOI: 10.1016/j.cbpa.2024.102444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 02/27/2024] [Accepted: 02/28/2024] [Indexed: 03/25/2024]
Abstract
Fluorescence imaging plays a pivotal role in the study of biological processes, and cell-permeable fluorogenic dyes are crucial to visualize intracellular structures with high specificity. Polymethine dyes are vitally important fluorophores in single-molecule localization microscopy and in vivo imaging, but their use in live cells has been limited by high background fluorescence and low membrane permeability. In this review, we summarize recent advances in the development of fluorogenic polymethine dyes via intramolecular cyclization. Finally, we offer an outlook on the prospects of fluorogenic polymethine dyes for bioimaging.
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Affiliation(s)
- Annabell Martin
- Department of Chemistry, University of Zurich, Zurich, Switzerland; École Polytechnique Fédérale de Lausanne, Institute of Chemical Sciences and Engineering, Lausanne, Switzerland
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40
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Decoding microscopy images by accurate measurement of point spread functions. Nat Methods 2024; 21:946-947. [PMID: 38831211 DOI: 10.1038/s41592-024-02283-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/05/2024]
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41
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Steves MA, He C, Xu K. Single-Molecule Spectroscopy and Super-Resolution Mapping of Physicochemical Parameters in Living Cells. Annu Rev Phys Chem 2024; 75:163-183. [PMID: 38360526 DOI: 10.1146/annurev-physchem-070623-034225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2024]
Abstract
By superlocalizing the positions of millions of single molecules over many camera frames, a class of super-resolution fluorescence microscopy methods known as single-molecule localization microscopy (SMLM) has revolutionized how we understand subcellular structures over the past decade. In this review, we highlight emerging studies that transcend the outstanding structural (shape) information offered by SMLM to extract and map physicochemical parameters in living mammalian cells at single-molecule and super-resolution levels. By encoding/decoding high-dimensional information-such as emission and excitation spectra, motion, polarization, fluorescence lifetime, and beyond-for every molecule, and mass accumulating these measurements for millions of molecules, such multidimensional and multifunctional super-resolution approaches open new windows into intracellular architectures and dynamics, as well as their underlying biophysical rules, far beyond the diffraction limit.
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Affiliation(s)
- Megan A Steves
- Department of Chemistry, University of California, Berkeley, California, USA;
| | - Changdong He
- Department of Chemistry, University of California, Berkeley, California, USA;
| | - Ke Xu
- Department of Chemistry, University of California, Berkeley, California, USA;
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Xu DD, Vong AF, Utama MIB, Lebedev D, Ananth R, Hersam MC, Weiss EA, Mirkin CA. Sub-Diffraction Correlation of Quantum Emitters and Local Strain Fields in Strain-Engineered WSe 2 Monolayers. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2314242. [PMID: 38346232 DOI: 10.1002/adma.202314242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Indexed: 03/27/2024]
Abstract
Strain-engineering in atomically thin metal dichalcogenides is a useful method for realizing single-photon emitters (SPEs) for quantum technologies. Correlating SPE position with local strain topography is challenging due to localization inaccuracies from the diffraction limit. Currently, SPEs are assumed to be positioned at the highest strained location and are typically identified by randomly screening narrow-linewidth emitters, of which only a few are spectrally pure. In this work, hyperspectral quantum emitter localization microscopy is used to locate 33 SPEs in nanoparticle-strained WSe2 monolayers with sub-diffraction-limit resolution (≈30 nm) and correlate their positions with the underlying strain field via image registration. In this system, spectrally pure emitters are not concentrated at the highest strain location due to spectral contamination; instead, isolable SPEs are distributed away from points of peak strain with an average displacement of 240 nm. These observations point toward a need for a change in the design rules for strain-engineered SPEs and constitute a key step toward realizing next-generation quantum optical architectures.
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Affiliation(s)
- David D Xu
- Department of Chemistry, Northwestern University, 2145 Sheridan Road, Evanston, IL, 60208, USA
- International Institute for Nanotechnology, Northwestern University, 2145 Sheridan Road, Evanston, IL, 60208, USA
| | - Albert F Vong
- International Institute for Nanotechnology, Northwestern University, 2145 Sheridan Road, Evanston, IL, 60208, USA
- Department of Materials Science and Engineering, Northwestern University, 2220 Campus Drive, Evanston, IL, 60208, USA
| | - M Iqbal Bakti Utama
- Department of Materials Science and Engineering, Northwestern University, 2220 Campus Drive, Evanston, IL, 60208, USA
| | - Dmitry Lebedev
- Department of Materials Science and Engineering, Northwestern University, 2220 Campus Drive, Evanston, IL, 60208, USA
| | - Riddhi Ananth
- Department of Chemistry, Northwestern University, 2145 Sheridan Road, Evanston, IL, 60208, USA
- International Institute for Nanotechnology, Northwestern University, 2145 Sheridan Road, Evanston, IL, 60208, USA
| | - Mark C Hersam
- Department of Chemistry, Northwestern University, 2145 Sheridan Road, Evanston, IL, 60208, USA
- International Institute for Nanotechnology, Northwestern University, 2145 Sheridan Road, Evanston, IL, 60208, USA
- Department of Materials Science and Engineering, Northwestern University, 2220 Campus Drive, Evanston, IL, 60208, USA
- Department of Electrical and Computer Engineering, Northwestern University, 2145 Sheridan Road, Evanston, IL, 60208, USA
| | - Emily A Weiss
- Department of Chemistry, Northwestern University, 2145 Sheridan Road, Evanston, IL, 60208, USA
- International Institute for Nanotechnology, Northwestern University, 2145 Sheridan Road, Evanston, IL, 60208, USA
- Department of Materials Science and Engineering, Northwestern University, 2220 Campus Drive, Evanston, IL, 60208, USA
| | - Chad A Mirkin
- Department of Chemistry, Northwestern University, 2145 Sheridan Road, Evanston, IL, 60208, USA
- International Institute for Nanotechnology, Northwestern University, 2145 Sheridan Road, Evanston, IL, 60208, USA
- Department of Materials Science and Engineering, Northwestern University, 2220 Campus Drive, Evanston, IL, 60208, USA
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Shroff H, Testa I, Jug F, Manley S. Live-cell imaging powered by computation. Nat Rev Mol Cell Biol 2024; 25:443-463. [PMID: 38378991 DOI: 10.1038/s41580-024-00702-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/10/2024] [Indexed: 02/22/2024]
Abstract
The proliferation of microscopy methods for live-cell imaging offers many new possibilities for users but can also be challenging to navigate. The prevailing challenge in live-cell fluorescence microscopy is capturing intra-cellular dynamics while preserving cell viability. Computational methods can help to address this challenge and are now shifting the boundaries of what is possible to capture in living systems. In this Review, we discuss these computational methods focusing on artificial intelligence-based approaches that can be layered on top of commonly used existing microscopies as well as hybrid methods that integrate computation and microscope hardware. We specifically discuss how computational approaches can improve the signal-to-noise ratio, spatial resolution, temporal resolution and multi-colour capacity of live-cell imaging.
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Affiliation(s)
- Hari Shroff
- Janelia Research Campus, Howard Hughes Medical Institute (HHMI), Ashburn, VA, USA
| | - Ilaria Testa
- Department of Applied Physics and Science for Life Laboratory, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Florian Jug
- Fondazione Human Technopole (HT), Milan, Italy
| | - Suliana Manley
- Institute of Physics, School of Basic Sciences, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland.
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44
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Gandhi S, Shaulli X, Fock J, Scheffold F, Marie R. IgG and IgM differentiation in a particle-based agglutination assay by control over antigen surface density. APL Bioeng 2024; 8:026124. [PMID: 38894961 PMCID: PMC11184967 DOI: 10.1063/5.0196224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 05/24/2024] [Indexed: 06/21/2024] Open
Abstract
Point-of-care (POC) testing offers fast and on-site diagnostics and can be crucial against many infectious diseases and in screening. One remaining challenge in serological POC testing is the quantification of immunoglobulin G (IgG) and immunoglobulin M (IgM). Quantification of IgG/IgM can be important to evaluate immunity and to discriminate recent infections from past infections and primary infections from secondary infections. POC tests such as lateral flow immunoassays allow IgG and IgM differentiation; however, a remaining limitation is their incapacity to provide quantitative results. In this work, we show how samples containing IgG or IgM can be distinguished in a nanoparticle-based agglutination biosensing assay by tuning the density of antigens on the nanoparticles' surface. We employ direct STochastic Optical Reconstruction Microscopy to quantify the accessible SARS-CoV-2 trimeric spike proteins conjugated to magnetic nanoparticles at a single-particle level and gain insight into the protein distribution provided by the conjugation procedure. Furthermore, we measure the anti-SARS-CoV-2 IgG/IgM induced agglutination using an optomagnetic readout principle. We show that particles with high antigen density have a relatively higher sensitivity toward IgM compared to IgG, whereas low antigen density provides a relatively higher sensitivity to IgG. The finding paves the way for its implementation for other agglutination-based serology tests, allowing for more accurate disease diagnosis.
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Affiliation(s)
- Shanil Gandhi
- Department of Health Technology, Technical University of Denmark, 2800 Kongens Lyngby, Denmark
| | - Xhorxhina Shaulli
- Department of Physics, University of Fribourg, Chemin du Musée 3, CH-1700 Fribourg, Switzerland
| | | | - Frank Scheffold
- Department of Physics, University of Fribourg, Chemin du Musée 3, CH-1700 Fribourg, Switzerland
| | - Rodolphe Marie
- Department of Health Technology, Technical University of Denmark, 2800 Kongens Lyngby, Denmark
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45
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Gaire SK, Daneshkhah A, Flowerday E, Gong R, Frederick J, Backman V. Deep learning-based spectroscopic single-molecule localization microscopy. JOURNAL OF BIOMEDICAL OPTICS 2024; 29:066501. [PMID: 38799979 PMCID: PMC11122423 DOI: 10.1117/1.jbo.29.6.066501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 05/03/2024] [Accepted: 05/09/2024] [Indexed: 05/29/2024]
Abstract
Significance Spectroscopic single-molecule localization microscopy (sSMLM) takes advantage of nanoscopy and spectroscopy, enabling sub-10 nm resolution as well as simultaneous multicolor imaging of multi-labeled samples. Reconstruction of raw sSMLM data using deep learning is a promising approach for visualizing the subcellular structures at the nanoscale. Aim Develop a novel computational approach leveraging deep learning to reconstruct both label-free and fluorescence-labeled sSMLM imaging data. Approach We developed a two-network-model based deep learning algorithm, termed DsSMLM, to reconstruct sSMLM data. The effectiveness of DsSMLM was assessed by conducting imaging experiments on diverse samples, including label-free single-stranded DNA (ssDNA) fiber, fluorescence-labeled histone markers on COS-7 and U2OS cells, and simultaneous multicolor imaging of synthetic DNA origami nanoruler. Results For label-free imaging, a spatial resolution of 6.22 nm was achieved on ssDNA fiber; for fluorescence-labeled imaging, DsSMLM revealed the distribution of chromatin-rich and chromatin-poor regions defined by histone markers on the cell nucleus and also offered simultaneous multicolor imaging of nanoruler samples, distinguishing two dyes labeled in three emitting points with a separation distance of 40 nm. With DsSMLM, we observed enhanced spectral profiles with 8.8% higher localization detection for single-color imaging and up to 5.05% higher localization detection for simultaneous two-color imaging. Conclusions We demonstrate the feasibility of deep learning-based reconstruction for sSMLM imaging applicable to label-free and fluorescence-labeled sSMLM imaging data. We anticipate our technique will be a valuable tool for high-quality super-resolution imaging for a deeper understanding of DNA molecules' photophysics and will facilitate the investigation of multiple nanoscopic cellular structures and their interactions.
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Affiliation(s)
- Sunil Kumar Gaire
- North Carolina Agricultural and Technical State University, Department of Electrical and Computer Engineering, Greensboro, North Carolina, United States
| | - Ali Daneshkhah
- Northwestern University, Department of Biomedical Engineering, Evanston, Illinois, United States
| | - Ethan Flowerday
- University of Tulsa, Department of Computer Science and Cyber Security, Tulsa, Oklahoma, United States
| | - Ruyi Gong
- Northwestern University, Department of Biomedical Engineering, Evanston, Illinois, United States
| | - Jane Frederick
- Northwestern University, Department of Biomedical Engineering, Evanston, Illinois, United States
| | - Vadim Backman
- Northwestern University, Department of Biomedical Engineering, Evanston, Illinois, United States
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Wang Z, Hakozaki H, McMahon G, Medina-Carbonero M, Schöneberg J. LiveLattice: Real-time visualization of tilted light-sheet microscopy data using a memory-efficient transformation algorithm. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.28.596280. [PMID: 38854017 PMCID: PMC11160600 DOI: 10.1101/2024.05.28.596280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2024]
Abstract
Light-sheet fluorescence microscopy (LSFM), a prominent fluorescence microscopy technique, offers enhanced temporal resolution for imaging biological samples in four dimensions (4D; x, y, z, time). Some of the most recent implementations, including inverted selective plane illumination microscopy (iSPIM) and lattice light-sheet microscopy (LLSM), rely on a tilting of the sample plane with respect to the light sheet of 30-45 degrees to ease sample preparation. Data from such tilted-sample-plane LSFMs require subsequent deskewing and rotation for proper visualization and analysis. Such transformations currently demand substantial memory allocation. This poses computational challenges, especially with large datasets. The consequence is long processing times compared to data acquisition times, which currently limits the ability for live-viewing the data as it is being captured by the microscope. To enable the fast preprocessing of large light-sheet microscopy datasets without significant hardware demand, we have developed WH-Transform, a novel GPU-accelerated memory-efficient algorithm that integrates deskewing and rotation into a single transformation, significantly reducing memory requirements and reducing the preprocessing run time by at least 10-fold for large image stacks. Benchmarked against conventional methods and existing software, our approach demonstrates linear scalability. Processing large 3D stacks of up to 15 GB is now possible within one minute using a single GPU with 24 GB of memory. Applied to 4D LLSM datasets of human hepatocytes, human lung organoid tissue, and human brain organoid tissue, our method outperforms alternatives, providing rapid, accurate preprocessing within seconds. Importantly, such processing speeds now allow visualization of the raw microscope data stream in real time, significantly improving the usability of LLSM in biology. In summary, this advancement holds transformative potential for light-sheet microscopy, enabling real-time, on-the-fly data processing, visualization, and analysis on standard workstations, thereby revolutionizing biological imaging applications for LLSM, SPIM and similar light microscopes.
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Affiliation(s)
- Zichen Wang
- Department of Pharmacology, University of California, San Diego, San Diego, CA, 92093
- Department of Chemistry and Biochemistry, University of California, San Diego, San Diego, CA, 92093
| | - Hiroyuki Hakozaki
- Department of Pharmacology, University of California, San Diego, San Diego, CA, 92093
- Department of Chemistry and Biochemistry, University of California, San Diego, San Diego, CA, 92093
| | - Gillian McMahon
- Department of Pharmacology, University of California, San Diego, San Diego, CA, 92093
- Department of Chemistry and Biochemistry, University of California, San Diego, San Diego, CA, 92093
| | - Marta Medina-Carbonero
- Department of Pharmacology, University of California, San Diego, San Diego, CA, 92093
- Department of Chemistry and Biochemistry, University of California, San Diego, San Diego, CA, 92093
| | - Johannes Schöneberg
- Department of Pharmacology, University of California, San Diego, San Diego, CA, 92093
- Department of Chemistry and Biochemistry, University of California, San Diego, San Diego, CA, 92093
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47
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Chen H, Yan G, Wen MH, Brooks KN, Zhang Y, Huang PS, Chen TY. Advancements and Practical Considerations for Biophysical Research: Navigating the Challenges and Future of Super-resolution Microscopy. CHEMICAL & BIOMEDICAL IMAGING 2024; 2:331-344. [PMID: 38817319 PMCID: PMC11134610 DOI: 10.1021/cbmi.4c00019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/10/2024] [Revised: 04/06/2024] [Accepted: 04/10/2024] [Indexed: 06/01/2024]
Abstract
The introduction of super-resolution microscopy (SRM) has significantly advanced our understanding of cellular and molecular dynamics, offering a detailed view previously beyond our reach. Implementing SRM in biophysical research, however, presents numerous challenges. This review addresses the crucial aspects of utilizing SRM effectively, from selecting appropriate fluorophores and preparing samples to analyzing complex data sets. We explore recent technological advancements and methodological improvements that enhance the capabilities of SRM. Emphasizing the integration of SRM with other analytical methods, we aim to overcome inherent limitations and expand the scope of biological insights achievable. By providing a comprehensive guide for choosing the most suitable SRM methods based on specific research objectives, we aim to empower researchers to explore complex biological processes with enhanced precision and clarity, thereby advancing the frontiers of biophysical research.
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Affiliation(s)
- Huanhuan Chen
- Department of Chemistry, University of Houston, Houston, Texas 77204, United States
| | - Guangjie Yan
- Department of Chemistry, University of Houston, Houston, Texas 77204, United States
| | - Meng-Hsuan Wen
- Department of Chemistry, University of Houston, Houston, Texas 77204, United States
| | - Kameron N. Brooks
- Department of Chemistry, University of Houston, Houston, Texas 77204, United States
| | - Yuteng Zhang
- Department of Chemistry, University of Houston, Houston, Texas 77204, United States
| | - Pei-San Huang
- Department of Chemistry, University of Houston, Houston, Texas 77204, United States
| | - Tai-Yen Chen
- Department of Chemistry, University of Houston, Houston, Texas 77204, United States
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Bharadwaj A, Kumar A, Mitra R, Jaganathan BG, Boruah BR. Enhanced fluorescence blinking of AF647 fluorophores in Mowiol via violet and UV light induced recovery for superior localization microscopy. Methods Appl Fluoresc 2024; 12:035007. [PMID: 38740072 DOI: 10.1088/2050-6120/ad4ae6] [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: 12/23/2023] [Accepted: 05/13/2024] [Indexed: 05/16/2024]
Abstract
Blinking of fluorophores is essential in the context of single molecule localization-based optical super-resolution microscopy methods. To make the fluorescence molecule undergo blinking specific complex chemical mounting buffer systems, combined with suitable oxygen scavengers, and reducing agents are required. For instance to realise blinking in widely used fluorescence tags, like Alexa Fluor 647 (AF647), they are to be mounted on anti-fading buffer such as Mowiol and reducing agent such as Beta (β) - ME. However, the quality of the super-resolved images is decided by the total number of blinking events or in other words net duration for which the fluorescence blinking persists. In this paper we investigate how a violet and UV light induced fluorescence recovery mechanism can enhance the duration of fluorescence blinking. Our study uses AF647 dye conjugated with Phalloidin antibody in U87MG cell line mounted on Mowiol andβ- ME. On the basis of the investigation we optimize the intensity, at the sample plane, of fluorescence excitation laser at 638 nm and fluorescence recovery beam at 405 nm or in the UV giving the maximum possible fluorescence blinking duration. We observe that the longer blinking duration, using the optimized illumination scheme, has brought down the resolution in the super-resolved image, as given by Fourier Ring Correlation method, from 168 nm to 112 nm, while the separation between two nearby resolvable filaments has been brought down to ≤ 60 nm.
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Affiliation(s)
- Anupam Bharadwaj
- Department of Physics, Indian Institute of Technology Guwahati, Guwahati 781039, Assam, India
| | - Amalesh Kumar
- Department of Physics, Indian Institute of Technology Guwahati, Guwahati 781039, Assam, India
| | - Rumela Mitra
- Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati 781039, Assam, India
| | - Bithiah Grace Jaganathan
- Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati 781039, Assam, India
| | - Bosanta R Boruah
- Department of Physics, Indian Institute of Technology Guwahati, Guwahati 781039, Assam, India
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49
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Cha HJ, He C, Glover DJ, Xu K, Clark DS. STORM Super-Resolution Visualization of Self-Assembled γPFD Chaperone Ultrastructures in Methanocaldococcus jannaschii. NANO LETTERS 2024; 24:6078-6083. [PMID: 38723608 PMCID: PMC11117396 DOI: 10.1021/acs.nanolett.4c01043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Revised: 05/04/2024] [Accepted: 05/07/2024] [Indexed: 05/23/2024]
Abstract
Gamma-prefoldin (γPFD), a unique chaperone found in the extremely thermophilic methanogen Methanocaldococcus jannaschii, self-assembles into filaments in vitro, which so far have been observed using transmission electron microscopy and cryo-electron microscopy. Utilizing three-dimensional stochastic optical reconstruction microscopy (3D-STORM), here we achieve ∼20 nm resolution by precisely locating individual fluorescent molecules, hence resolving γPFD ultrastructure both in vitro and in vivo. Through CF647 NHS ester labeling, we first demonstrate the accurate visualization of filaments and bundles with purified γPFD. Next, by implementing immunofluorescence labeling after creating a 3xFLAG-tagged γPFD strain, we successfully visualize γPFD in M. jannaschii cells. Through 3D-STORM and two-color STORM imaging with DNA, we show the widespread distribution of filamentous γPFD structures within the cell. These findings provide valuable insights into the structure and localization of γPFD, opening up possibilities for studying intriguing nanoscale components not only in archaea but also in other microorganisms.
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Affiliation(s)
- Hee-Jeong Cha
- Department
of Chemical and Biomolecular Engineering, University of California—Berkeley, Berkeley, California 94720, United States
| | - Changdong He
- Department
of Chemistry, University of California—Berkeley, Berkeley, California 94720, United States
| | - Dominic J. Glover
- School
of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW 2052, Australia
| | - Ke Xu
- Department
of Chemistry, University of California—Berkeley, Berkeley, California 94720, United States
- Molecular
Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720, United States
| | - Douglas S. Clark
- Department
of Chemical and Biomolecular Engineering, University of California—Berkeley, Berkeley, California 94720, United States
- Molecular
Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720, United States
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50
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Cao X, Li M, Li Q, Fan C, Sun J, Gao Z. Single-molecule localization microscopy at 2.4-fold resolution improvement with optical lattice pattern illumination. OPTICS EXPRESS 2024; 32:20218-20229. [PMID: 38859137 DOI: 10.1364/oe.514937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 03/27/2024] [Indexed: 06/12/2024]
Abstract
Traditional camera-based single-molecule localization microscopy (SMLM), with its high imaging resolution and localization throughput, has made significant advancements in biological and chemical researches. However, due to the limitation of the fluorescence signal-to-noise ratio (SNR) of a single molecule, its resolution is difficult to reach to 5 nm. Optical lattice produces a nondiffracting beam pattern that holds the potential to enhance microscope performance through its high contrast and penetration depth. Here, we propose a new method named LatticeFLUX which utilizes the wide-field optical lattice pattern illumination for individual molecule excitation and localization. We calculated the Cramér-Rao lower bound of LatticeFLUX resolution and proved that our method can improve the single molecule localization precision by 2.4 times compared with the traditional SMLM. We propose a scheme using 9-frame localization, which solves the problem of uneven lattice light illumination. Based on the experimental single-molecule fluorescence SNR, we coded the image reconstruction software to further verify the resolution enhancement capability of LatticeFLUX on simulated punctate DNA origami, line pairs, and cytoskeleton. LatticeFLUX confirms the feasibility of using 2D structured light illumination to obtain high single-molecule localization precision under high localization throughput. It paves the way for further implementation of ultra-high resolution full 3D structured-light-illuminated SMLM.
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