Monitoring protein ubiquitination and SUMOylation in real-time by NMR

2020 ◽  
Vol 56 (49) ◽  
pp. 6735-6738
Author(s):  
Batul Ismail Habibullah ◽  
Vasvi Tripathi ◽  
Parag Surana ◽  
Ranabir Das

A new tag-free method detects ubiquitination and SUMOylation of proteins in real time by NMR under physiological conditions.

2021 ◽  
Vol 11 (5) ◽  
pp. 2313
Author(s):  
Inho Lee ◽  
Nakkyun Park ◽  
Hanbee Lee ◽  
Chuljin Hwang ◽  
Joo Hee Kim ◽  
...  

The rapid advances in human-friendly and wearable photoplethysmography (PPG) sensors have facilitated the continuous and real-time monitoring of physiological conditions, enabling self-health care without being restricted by location. In this paper, we focus on state-of-the-art skin-compatible PPG sensors and strategies to obtain accurate and stable sensing of biological signals adhered to human skin along with light-absorbing semiconducting materials that are classified as silicone, inorganic, and organic absorbers. The challenges of skin-compatible PPG-based monitoring technologies and their further improvements are also discussed. We expect that such technological developments will accelerate accurate diagnostic evaluation with the aid of the biomedical electronic devices.


2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 5064-5064
Author(s):  
L. Ozbun ◽  
T. Bonome ◽  
M. E. Johnson ◽  
M. Radonovich ◽  
C. Pise-Masison ◽  
...  

5064 Background: The purpose of this study was to identify a predictive gene signature for chemoresponse in patients with advanced stage papillary serous ovarian cancer. Methods: Expression profiling was performed on 50 chemonaive, microdissected advanced stage papillary serous ovarian cancers using Affymetrix Human Genome U133 Plus 2.0 microarrays. Chemoresistance was defined as disease progression while the patients remained on primary chemotherapy. Nine normal human ovarian surface epithelial (HOSE) brushings were also assessed to quantify normal gene expression levels. Validation was performed by quantitative real time PCR using the HOSE isolates and microdissected ovarian tumor samples. Results: A supervised learning algorithm applied to genes differentially expressed between chemosensitive/resistance tumors (p < 0.001) using leave-one-out cross-validation (LOOCV), identified over 2000 genes associated with tumor chemosensitivity. The chemoresponsive gene list was further refined to 576 genes by including only genes used for all LOOCV iterations. An independent gene list was generated comparing expression profiles of chemoresistant tumors to HOSE. The two lists were compared to identify common genes, generating final classifier list of 75 genes that included genes involved in apoptosis, RNA processing, protein ubiquitination, transcription regulation, and other novel genes. We hypothesized genes identified in both data sets would be predictive and biologically relevant. Of these 75 genes, 20 were validated by real-time PCR. Validated genes were ranked by a univariate t-stat value to further resolve the predictor. 4 multivariate predictor algorithms demonstrated the 10 top ranked validated genes maximixed prediction accuracy (compound covariate, 91%; diagonal linear discriminant analysis, 91%; 3-nearest neighbor, 86%; nearest centroid, 95%). The predictive value of these genes will be evaluated on an independent sample set. Conclusions: Gene expression profiling can distinguish between chemosensitive and chemoresistant ovarian cancers. This signature can predict response to therapy and has identified novel biologically and clinically relevant targets. No significant financial relationships to disclose.


2013 ◽  
Vol 651 ◽  
pp. 24-28 ◽  
Author(s):  
Xiao Liu ◽  
Hui Zhu ◽  
Hu Jie Lu ◽  
Ying Li ◽  
Jian Ning Zhang ◽  
...  

Widely used engineered nanomaterials (NMs) display unique properties that may have impact on human health, and thus require a reliable evaluation of their potential cytotoxicity. There is a continuing need for real-time imaging techniques capable of studying the interactions between NMs and living alveolar epithelial cells under physiological conditions. A new developed noninvasive HPICM is designed for continuous high-resolution topographic imaging of living cells, which makes it an ideal tool to study NMs cytotoxicity in living alveolar epithelia by performing reliable repetitive scanning. In this review, we concisely introduced the operation principle of HPICM and its applications to real-time investigation of engineered NMs cytotoxicity in living alveolar epithelia. Published results demonstrate that non-contact HPICM combined with patch-clamp has the potential to become a powerful microscopy for real-time studies of NM-cell interactions under physiological conditions.


2018 ◽  
Author(s):  
Teresa Naranjo ◽  
Kateryna Lemishko ◽  
Sara de Lorenzo ◽  
Alvaro Somoza ◽  
Felix Ritort ◽  
...  

Here, we exploit the high force (0.1 pN), spatial (1 nm) and temporal (1 kHz) resolutions of optical tweezers<a href="#_ENREF_4"><sup></sup></a><sup></sup><a href="#_ENREF_11"><sup></sup></a> to quantify and control mechanically the real-time kinetics of individual synthetic molecular shuttles operating at near-physiological conditions, for several hundreds of switching cycles, near equilibrium conditions.


2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Raghavendra Mundargi ◽  
Divya Venkataraman ◽  
Saranya Kumar ◽  
Vishal Mogal ◽  
Raphael Ortiz ◽  
...  

The aim of the present work is to design and construct anex vivobioreactor system to assess the real time viability of vascular tissue. Porcine carotid artery as a model tissue was used in theex vivobioreactor setup to monitor its viability under physiological conditions such as oxygen, pressure, temperature, and flow. The real time tissue viability was evaluated by monitoring tissue metabolism through a fluorescent indicator “resorufin.” Ourex vivobioreactor allows real time monitoring of tissue responses along with physiological conditions. Theseex vivoparameters were vital in determining the tissue viability in sensor-enabled bioreactor and our initial investigations suggest that, porcine tissue viability is considerably affected by high shear forces and low oxygen levels. Histological evaluations with hematoxylin and eosin and Masson’s trichrome staining show intact endothelium with fresh porcine tissue whereas tissues after incubation inex vivobioreactor studies indicate denuded endothelium supporting the viability results from real time measurements. Hence, this novel viability sensor-enabledex vivobioreactor acts as model to mimicin vivosystem and record vascular responses to biopharmaceutical molecules and biomedical devices.


2021 ◽  
Author(s):  
Mattia Negroni ◽  
Dennis Kurzbach

Abstract We propose a method for real-time nuclear magnetic resonance (NMR) spectroscopy of hyperpolarized proteins at residue resolution. The approach is based on dissolution dynamic nuclear polarization (d-DNP), which enables the use of hyperpolarized buffers that selectively boost NMR signals of backbone amides that incur magnetization fast from their surroundings. Capitalizing on the resulting spectral sparseness and simultaneous signal enhancement, we obtained residue-resolved NMR spectra at a sampling rate of 2 Hz. We could thus track the evolution of hyperpolarization at different protein residues simultaneously with time. This was achieved under near-physiological conditions, i.e., in aqueous solution at physiological salt concentration and at 37° C. With this development, two often encountered limitations of conventional solution-state NMR can be addressed: 1) NMR experiments are typically performed under conditions that increase sensitivity but are physiologically not relevant (low pH, low temperature) and; 2) signal accumulation over long periods impedes the determination of fast (on the order of seconds) real-time monitoring. Both limitations are of equal fundamental relevance: interaction studies under non-native conditions are of limited pharmacological relevance, and the key to the function of proteins often resides in their interaction kinetics. The proposed technique possibly opens new routes towards residue and temporally resolved spectroscopy at the atomistic level by overcoming the need for signal averaging in residue-resolved protein biomolecular NMR.


2018 ◽  
Author(s):  
Teresa Naranjo ◽  
Kateryna Lemishko ◽  
Sara de Lorenzo ◽  
Alvaro Somoza ◽  
Felix Ritort ◽  
...  

Here, we exploit the high force (0.1 pN), spatial (1 nm) and temporal (1 kHz) resolutions of optical tweezers<a href="#_ENREF_4"><sup></sup></a><sup></sup><a href="#_ENREF_11"><sup></sup></a> to quantify and control mechanically the real-time kinetics of individual synthetic molecular shuttles operating at near-physiological conditions, for several hundreds of switching cycles, near equilibrium conditions.


2018 ◽  
Vol 9 (25) ◽  
pp. 5551-5555 ◽  
Author(s):  
Guolin Ma ◽  
Qian Zhang ◽  
Lian He ◽  
Nhung T. Nguyen ◽  
Shuzhong Liu ◽  
...  

Genetically encoded tags (MoTags) to assess protein oligomeric states, probe protein structure and monitor protein–target interactions under physiological conditions in cellulo.


The Analyst ◽  
2011 ◽  
Vol 136 (9) ◽  
pp. 1916 ◽  
Author(s):  
Zhengquan Yan ◽  
Shanyi Guang ◽  
Hongyao Xu ◽  
Xiangyang Liu

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