scholarly journals Nanolithographic Control of the Spatial Organization of Cellular Adhesion Receptors at the Single-Molecule Level

Nano Letters ◽  
2011 ◽  
Vol 11 (3) ◽  
pp. 1306-1312 ◽  
Author(s):  
Mark Schvartzman ◽  
Matteo Palma ◽  
Julia Sable ◽  
Justin Abramson ◽  
Xian Hu ◽  
...  
Keyword(s):  
Single Molecule ◽  
Spatial Organization ◽  
Cellular Adhesion ◽  
Adhesion Receptors ◽  
Single Molecule Level

Probing Cellular Adhesion at the Single-Molecule Level

2011 ◽  
pp. 225-261 ◽  
Author(s):  
Félix Rico ◽  
Xiaohui Zhang ◽  
Vincent Moy
Keyword(s):  
Single Molecule ◽  
Cellular Adhesion ◽  
Single Molecule Level

scholarly journals Live cell micropatterning reveals the dynamics of signaling complexes at the plasma membrane

2014 ◽  
Vol 207 (3) ◽  
pp. 407-418 ◽  
Author(s):  
Sara Löchte ◽  
Sharon Waichman ◽  
Oliver Beutel ◽  
Changjiang You ◽  
Jacob Piehler
Keyword(s):  
Plasma Membrane ◽  
Single Molecule ◽  
Spatial Organization ◽  
Polymer Brush ◽  
Effector Proteins ◽  
Live Cells ◽  
Type I ◽  
Rgd Peptides ◽  
Single Molecule Level ◽  
Cell Micropatterning

Interactions of proteins in the plasma membrane are notoriously challenging to study under physiological conditions. We report in this paper a generic approach for spatial organization of plasma membrane proteins into micropatterns as a tool for visualizing and quantifying interactions with extracellular, intracellular, and transmembrane proteins in live cells. Based on a protein-repellent poly(ethylene glycol) polymer brush, micropatterned surface functionalization with the HaloTag ligand for capturing HaloTag fusion proteins and RGD peptides promoting cell adhesion was devised. Efficient micropatterning of the type I interferon (IFN) receptor subunit IFNAR2 fused to the HaloTag was achieved, and highly specific IFN binding to the receptor was detected. The dynamics of this interaction could be quantified on the single molecule level, and IFN-induced receptor dimerization in micropatterns could be monitored. Assembly of active signaling complexes was confirmed by immunostaining of phosphorylated Janus family kinases, and the interaction dynamics of cytosolic effector proteins recruited to the receptor complex were unambiguously quantified by fluorescence recovery after photobleaching.

Protein clustering and spatial organization in T-cells

2015 ◽  
Vol 43 (3) ◽  
pp. 315-321 ◽  
Author(s):  
Michael J. Shannon ◽  
Garth Burn ◽  
Andrew Cope ◽  
Georgina Cornish ◽  
Dylan M. Owen
Keyword(s):  
T Cell ◽  
Single Molecule ◽  
Spatial Organization ◽  
Super Resolution ◽  
Cell Protein ◽  
Single Molecule Level ◽  
Composition And Structure ◽  
Resolution Analysis ◽  
And Function ◽  
Super Resolution Microscopy

T-cell protein microclusters have until recently been investigable only as microscale entities with their composition and structure being discerned by biochemistry or diffraction-limited light microscopy. With the advent of super resolution microscopy comes the ability to interrogate the structure and function of these clusters at the single molecule level by producing highly accurate pointillist maps of single molecule locations at ~20nm resolution. Analysis tools have also been developed to provide rich descriptors of the pointillist data, allowing us to pose questions about the nanoscale organization which governs the local and cell wide responses required of a migratory T-cell.

Probing Cellular Adhesion at the Single-Molecule Level

2019 ◽  
pp. 225-262
Author(s):  
Félix Rico ◽  
Xiaohui Zhang ◽  
Vincent T. Moy
Keyword(s):  
Single Molecule ◽  
Cellular Adhesion ◽  
Single Molecule Level

Atomic Force Microscopy (AFM) for Topography and Recognition Imaging at Single Molecule Level

2013 ◽  
pp. 102-112
Author(s):  
Memed Duman ◽  
Andreas Ebner ◽  
Christian Rankl ◽  
Jilin Tang ◽  
Lilia A. Chtcheglova ◽  
...  
Keyword(s):  
Atomic Force Microscopy ◽  
Single Molecule ◽  
Single Molecule Level ◽  
Force Microscopy ◽  
Atomic Force ◽  
Recognition Imaging

Curaxin-Induced DNA Topology Alterations Trigger the Distinct Binding Response of CTCF and FACT at the Single-Molecule Level

Biochemistry ◽  
2021 ◽  
Vol 60 (7) ◽  
pp. 494-499
Author(s):  
Ke Lu ◽  
Cuifang Liu ◽  
Yinuo Liu ◽  
Anfeng Luo ◽  
Jun Chen ◽  
...  
Keyword(s):  
Single Molecule ◽  
Dna Topology ◽  
Single Molecule Level

scholarly journals Power-law behavior of transcription factor dynamics at the single-molecule level implies a continuum affinity model

2021 ◽  
Author(s):  
David A Garcia ◽  
Gregory Fettweis ◽  
Diego M Presman ◽  
Ville Paakinaho ◽  
Christopher Jarzynski ◽  
...  
Keyword(s):  
Transcription Factor ◽  
Single Molecule ◽  
Power Law ◽  
Dwell Time ◽  
Specific Binding ◽  
Power Law Distribution ◽  
Single Molecule Level ◽  
Binding Behavior ◽  
Chromatin Template ◽  
Nuclear Domains

Abstract Single-molecule tracking (SMT) allows the study of transcription factor (TF) dynamics in the nucleus, giving important information regarding the diffusion and binding behavior of these proteins in the nuclear environment. Dwell time distributions obtained by SMT for most TFs appear to follow bi-exponential behavior. This has been ascribed to two discrete populations of TFs—one non-specifically bound to chromatin and another specifically bound to target sites, as implied by decades of biochemical studies. However, emerging studies suggest alternate models for dwell-time distributions, indicating the existence of more than two populations of TFs (multi-exponential distribution), or even the absence of discrete states altogether (power-law distribution). Here, we present an analytical pipeline to evaluate which model best explains SMT data. We find that a broad spectrum of TFs (including glucocorticoid receptor, oestrogen receptor, FOXA1, CTCF) follow a power-law distribution of dwell-times, blurring the temporal line between non-specific and specific binding, suggesting that productive binding may involve longer binding events than previously believed. From these observations, we propose a continuum of affinities model to explain TF dynamics, that is consistent with complex interactions of TFs with multiple nuclear domains as well as binding and searching on the chromatin template.

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