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Wagh K, Stavreva DA, Jensen RAM, Paakinaho V, Fettweis G, Schiltz RL, Wüstner D, Mandrup S, Presman DM, Upadhyaya A, Hager GL. Dynamic switching of transcriptional regulators between two distinct low-mobility chromatin states. SCIENCE ADVANCES 2023; 9:eade1122. [PMID: 37315128 PMCID: PMC10954219 DOI: 10.1126/sciadv.ade1122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 05/10/2023] [Indexed: 06/16/2023]
Abstract
How chromatin dynamics relate to transcriptional activity remains poorly understood. Using single-molecule tracking, coupled with machine learning, we show that histone H2B and multiple chromatin-bound transcriptional regulators display two distinct low-mobility states. Ligand activation results in a marked increase in the propensity of steroid receptors to bind in the lowest-mobility state. Mutational analysis revealed that interactions with chromatin in the lowest-mobility state require an intact DNA binding domain and oligomerization domains. These states are not spatially separated as previously believed, but individual H2B and bound-TF molecules can dynamically switch between them on time scales of seconds. Single bound-TF molecules with different mobilities exhibit different dwell time distributions, suggesting that the mobility of TFs is intimately coupled with their binding dynamics. Together, our results identify two unique and distinct low-mobility states that appear to represent common pathways for transcription activation in mammalian cells.
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Affiliation(s)
- Kaustubh Wagh
- Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
- Department of Physics, University of Maryland, College Park, MD 20742, USA
| | - Diana A. Stavreva
- Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Rikke A. M. Jensen
- Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark
| | - Ville Paakinaho
- Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
- Institute of Biomedicine, University of Eastern Finland, Kuopio, P.O. Box 1627, 70211 Kuopio, Finland
| | - Gregory Fettweis
- Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - R. Louis Schiltz
- Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Daniel Wüstner
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark
| | - Susanne Mandrup
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark
| | - Diego M. Presman
- Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
- Instituto de Fisiología, Biología Molecular y Neurociencias (IFIBYNE), CONICET-Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Buenos Aires C1428EGA, Argentina
| | - Arpita Upadhyaya
- Department of Physics, University of Maryland, College Park, MD 20742, USA
- Institute for Physical Science and Technology, University of Maryland, College Park, MD 20742, USA
| | - Gordon L. Hager
- Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
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Pathni A, Özçelikkale A, Rey-Suarez I, Li L, Davis S, Rogers N, Xiao Z, Upadhyaya A. Cytotoxic T Lymphocyte Activation Signals Modulate Cytoskeletal Dynamics and Mechanical Force Generation. Front Immunol 2022; 13:779888. [PMID: 35371019 PMCID: PMC8966475 DOI: 10.3389/fimmu.2022.779888] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Accepted: 02/23/2022] [Indexed: 11/20/2022] Open
Abstract
Cytotoxic T lymphocytes (CTLs) play an integral role in the adaptive immune response by killing infected cells. Antigen presenting cells (APCs), such as dendritic cells, present pathogenic peptides to the T cell receptor on the CTL surface and co-stimulatory signals required for complete activation. Activated CTLs secrete lytic granules containing enzymes that trigger target cell death at the CTL-target contact, also known as the immune synapse (IS). The actin and microtubule cytoskeletons are instrumental in the killing of CTL targets. Lytic granules are transported along microtubules to the IS, where granule secretion is facilitated by actin depletion and recovery. Furthermore, actomyosin contractility promotes target cell death by mediating mechanical force exertion at the IS. Recent studies have shown that inflammatory cytokines produced by APCs, such as interleukin-12 (IL-12), act as a third signal for CTL activation and enhance CTL proliferation and effector function. However, the biophysical mechanisms mediating such enhanced effector function remain unclear. We hypothesized that the third signal for CTL activation, IL-12, modulates cytoskeletal dynamics and force exertion at the IS, thus potentiating CTL effector function. Here, we used live cell total internal reflection fluorescence (TIRF) microscopy to study actomyosin and microtubule dynamics at the IS of murine primary CTLs activated in the presence of peptide-MHC and co-stimulation alone (two signals), or additionally with IL-12 (three signals). We found that three signal-activated CTLs have altered actin flows, myosin dynamics and microtubule growth rates as compared to two signal-activated CTLs. We further showed that lytic granules in three-signal activated CTLs are less clustered and have lower velocities than in two-signal activated CTLs. Finally, we used traction force microscopy to show that three signal-activated CTLs exert greater traction forces than two signal-activated CTLs. Our results demonstrate that activation of CTLs in the presence of IL-12 leads to differential modulation of the cytoskeleton, thereby augmenting the mechanical response of CTLs to their targets. This indicates a potential physical mechanism via which the third signal can enhance the CTL response.
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Affiliation(s)
- Aashli Pathni
- Biological Sciences Graduate Program, University of Maryland, College Park, MD, United States
| | - Altuğ Özçelikkale
- Institute for Physical Science and Technology, University of Maryland, College Park, MD, United States.,Department of Mechanical Engineering, Middle East Technical University, Ankara, Turkey
| | - Ivan Rey-Suarez
- Institute for Physical Science and Technology, University of Maryland, College Park, MD, United States
| | - Lei Li
- Department of Animal and Avian Sciences, University of Maryland, College Park, MD, United States
| | - Scott Davis
- Department of Physics, University of Maryland, College Park, MD, United States
| | - Nate Rogers
- Department of Physics, University of Maryland, College Park, MD, United States
| | - Zhengguo Xiao
- Biological Sciences Graduate Program, University of Maryland, College Park, MD, United States.,Department of Animal and Avian Sciences, University of Maryland, College Park, MD, United States
| | - Arpita Upadhyaya
- Biological Sciences Graduate Program, University of Maryland, College Park, MD, United States.,Institute for Physical Science and Technology, University of Maryland, College Park, MD, United States.,Department of Physics, University of Maryland, College Park, MD, United States
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Kharati M, Foroutanparsa S, Rabiee M, Salarian R, Rabiee N, Rabiee G. Early Diagnosis of Multiple Sclerosis Based on Optical and Electrochemical Biosensors: Comprehensive Perspective. CURR ANAL CHEM 2020. [DOI: 10.2174/1573411014666180829111004] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Background:
Multiple Sclerosis (MS) involves an immune-mediated response in which
body’s immune system destructs the protective sheath (myelin). Part of the known MS biomarkers are
discovered in cerebrospinal fluid like oligoclonal lgG (OCGB), and also in blood like myelin Oligodendrocyte
Glycoprotein (MOG). The conventional MS diagnostic methods often fail to detect the
disease in early stages such as Clinically Isolated Syndrome (CIS), which considered as a concerning
issue since CIS highlighted as a prognostic factor of MS development in most cases.
Methods:
MS diagnostic techniques include Magnetic Resonance Imaging (MRI) of the brain and spinal
cord, lumbar puncture (or spinal tap) that evaluate cerebrospinal fluid, evoked potential testing revealing
abnormalities in the brain and spinal cord. These conventional diagnostic methods have some
negative points such as extensive processing time as well as restriction in the quantity of samples that
can be analyzed concurrently. Scientists have focused on developing the detection methods especially
early detection which belongs to ultra-sensitive, non-invasive and needed for the Point of Care (POC)
diagnosis because the situation was complicated by false positive or negative results.
Results:
As a result, biosensors are utilized and investigated since they could be ultra-sensitive to specific
compounds, cost effective devices, body-friendly and easy to implement. In addition, it has been
proved that the biosensors on physiological fluids (blood, serum, urine, saliva, milk etc.) have quick
response in a non-invasive rout. In general form, a biosensor system for diagnosis and early detection
process usually involves; biomarker (target molecule), bio receptor (recognition element) and compatible
bio transducer.
Conclusion:
Studies underlined that early treatment of patients with high possibility of MS can be advantageous
by postponing further abnormalities on MRI and subsequent attacks.
:
This Review highlights variable disease diagnosis approaches such as Surface Plasmon Resonance
(SPR), electrochemical biosensors, Microarrays and microbeads based Microarrays, which are considered
as promising methods for detection and early detection of MS.
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Affiliation(s)
- Maryam Kharati
- Biomaterials Group, Faculty of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran
| | - Sanam Foroutanparsa
- Biomaterials Group, Faculty of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran
| | - Mohammad Rabiee
- Biomaterials Group, Faculty of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran
| | - Reza Salarian
- Biomedical Engineering Department, Maziar University, Noor, Royan, Iran
| | - Navid Rabiee
- Department of Chemistry, Shahid Beheshti University, Tehran, Iran
| | - Ghazal Rabiee
- Department of Chemistry, Shahid Beheshti University, Tehran, Iran
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Rey-Suarez I, Wheatley BA, Koo P, Bhanja A, Shu Z, Mochrie S, Song W, Shroff H, Upadhyaya A. WASP family proteins regulate the mobility of the B cell receptor during signaling activation. Nat Commun 2020; 11:439. [PMID: 31974357 PMCID: PMC6978525 DOI: 10.1038/s41467-020-14335-8] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Accepted: 12/23/2019] [Indexed: 12/13/2022] Open
Abstract
Regulation of membrane receptor mobility tunes cellular response to external signals, such as in binding of B cell receptors (BCR) to antigen, which initiates signaling. However, whether BCR signaling is regulated by BCR mobility, and what factors mediate this regulation, are not well understood. Here we use single molecule imaging to examine BCR movement during signaling activation and a novel machine learning method to classify BCR trajectories into distinct diffusive states. Inhibition of actin dynamics downstream of the actin nucleating factors, Arp2/3 and formin, decreases BCR mobility. Constitutive loss or acute inhibition of the Arp2/3 regulator, N-WASP, which is associated with enhanced signaling, increases the proportion of BCR trajectories with lower diffusivity. Furthermore, loss of N-WASP reduces the diffusivity of CD19, a stimulatory co-receptor, but not that of FcγRIIB, an inhibitory co-receptor. Our results implicate a dynamic actin network in fine-tuning receptor mobility and receptor-ligand interactions for modulating B cell signaling. B cell receptors (BCR) capture antigen and initiate downstream antibody responses, but whether and how BCR signaling is regulated by BCR mobility is still unclear. Here the authors show, using single molecule imaging and machine learning analyses, that BCR and CD19 mobility is modulated by the actin nucleation regulators Arp2/3 and N-WASP to control BCR signaling.
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Affiliation(s)
- Ivan Rey-Suarez
- Biophysics Program, University of Maryland, College Park, MD, 20742, USA.,National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD, USA
| | - Brittany A Wheatley
- Department of Physics, University of Maryland, College Park, MD, 20742, USA.,Institute for Physical Science and Technology, University of Maryland, College Park, MD, 20742, USA
| | - Peter Koo
- Department of Molecular & Cellular Biology, Harvard University, Cambridge, MA, 02138, USA
| | - Anshuman Bhanja
- Department of Cell Biology & Molecular Genetics, University of Maryland, College Park, MD, 20742, USA
| | - Zhou Shu
- Department of Cell Biology & Molecular Genetics, University of Maryland, College Park, MD, 20742, USA.,Division of Immunology, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Simon Mochrie
- Department of Physics, Yale University, New Haven, CT, 06520, USA
| | - Wenxia Song
- Department of Cell Biology & Molecular Genetics, University of Maryland, College Park, MD, 20742, USA
| | - Hari Shroff
- National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD, USA
| | - Arpita Upadhyaya
- Biophysics Program, University of Maryland, College Park, MD, 20742, USA. .,Department of Physics, University of Maryland, College Park, MD, 20742, USA. .,Institute for Physical Science and Technology, University of Maryland, College Park, MD, 20742, USA.
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