排序方式： 共有96条查询结果，搜索用时 0 毫秒
61.
Nishir Mehta Shahensha Shaik Alisha Prasad Ardalan Chaichi Sushant P. Sahu Qianglin Liu Syed Mohammad Abid Hasan Elnaz Sheikh Fabrizio Donnarumma Kermit K. Murray Xing Fu Ram Devireddy Manas Ranjan Gartia 《Advanced functional materials》2021,31(43):2103955
Stem cell-based therapies carry significant promise for treating human diseases. However, clinical translation of stem cell transplants for effective treatment requires precise non-destructive evaluation of the purity of stem cells with high sensitivity (<0.001% of the number of cells). Here, a novel methodology using hyperspectral imaging (HSI) combined with spectral angle mapping-based machine learning analysis is reported to distinguish differentiating human adipose-derived stem cells (hASCs) from control stem cells. The spectral signature of adipogenesis generated by the HSI method enables identifying differentiated cells at single-cell resolution. The label-free HSI method is compared with the standard techniques such as Oil Red O staining, fluorescence microscopy, and qPCR that are routinely used to evaluate adipogenic differentiation of hASCs. HSI is successfully used to assess the abundance of adipocytes derived from transplanted cells in a transgenic mice model. Further, Raman microscopy and multiphoton-based metabolic imaging is performed to provide complementary information for the functional imaging of the hASCs. Finally, the HSI method is validated using matrix-assisted laser desorption/ionization-mass spectrometry imaging of the stem cells. The study presented here demonstrates that multimodal imaging methods enable label-free identification of stem cell differentiation with high spatial and chemical resolution. 相似文献
62.
Zhihao Wei Wu Liu Weiyong Yu Xi Liu Ruiqing Yan Qiang Liu Qianjin Guo 《International journal of molecular sciences》2022,23(18)
Stimulated Raman Scattering Microscopy (SRS) is a powerful tool for label-free detailed recognition and investigation of the cellular and subcellular structures of living cells. Determining subcellular protein localization from the cell level of SRS images is one of the basic goals of cell biology, which can not only provide useful clues for their functions and biological processes but also help to determine the priority and select the appropriate target for drug development. However, the bottleneck in predicting subcellular protein locations of SRS cell imaging lies in modeling complicated relationships concealed beneath the original cell imaging data owing to the spectral overlap information from different protein molecules. In this work, a multiple parallel fusion network, MPFnetwork, is proposed to study the subcellular locations from SRS images. This model used a multiple parallel fusion model to construct feature representations and combined multiple nonlinear decomposing algorithms as the automated subcellular detection method. Our experimental results showed that the MPFnetwork could achieve over 0.93 dice correlation between estimated and true fractions on SRS lung cancer cell datasets. In addition, we applied the MPFnetwork method to cell images for label-free prediction of several different subcellular components simultaneously, rather than using several fluorescent labels. These results open up a new method for the time-resolved study of subcellular components in different cells, especially cancer cells. 相似文献
63.
Tamara A. M. Mocking Hubert J. Sijben Yim W. Vermeulen Adriaan P. IJzerman Laura H. Heitman 《International journal of molecular sciences》2022,23(3)
The organic cation transporters OCT1-3 (SLC22A1-3) facilitate the transport of cationic endo- and xenobiotics and are important mediators of drug distribution and elimination. Their polyspecific nature makes OCTs highly susceptible to drug–drug interactions (DDIs). Currently, screening of OCT inhibitors depends on uptake assays that require labeled substrates to detect transport activity. However, these uptake assays have several limitations. Hence, there is a need to develop novel assays to study OCT activity in a physiological relevant environment without the need to label the substrate. Here, a label-free impedance-based transport assay is established that detects OCT-mediated transport activity and inhibition utilizing the neurotoxin MPP+. Uptake of MPP+ by OCTs induced concentration-dependent changes in cellular impedance that were inhibited by decynium-22, corticosterone, and Tyrosine Kinase inhibitors. OCT-mediated MPP+ transport activity and inhibition were quantified on both OCT1-3 overexpressing cells and HeLa cells endogenously expressing OCT3. Moreover, the method presented here is a valuable tool to identify novel inhibitors and potential DDI partners for MPP+ transporting solute carrier proteins (SLCs) in general. 相似文献
64.
Nathan Vanalken Katrijn Boon Jordi Doijen Dominique Schols Tom Van Loy 《International journal of molecular sciences》2022,23(16)
The human C-C chemokine receptor type 7 (CCR7) has two endogenous ligands, C-C chemokine ligand 19 (CCL19) and CCL21, displaying biased agonism reflected by a pronounced difference in the level of β-arrestin recruitment. Detecting this preferential activation generally requires the use of separate, pathway-specific label-based assays. In this study, we evaluated an alternative methodology to study CCR7 signalling. Cellular electrical impedance (CEI) is a label-free technology which yields a readout that reflects an integrated cellular response to ligand stimulation. CCR7-expressing HEK293 cells were stimulated with CCL19 or CCL21, which induced distinct impedance profiles with an apparent bias during the desensitisation phase of the response. This discrepancy was mainly modulated by differential β-arrestin recruitment, which shaped the impedance profile but did not seem to contribute to it directly. Pathway deconvolution revealed that Gαi-mediated signalling contributed most to the impedance profile, but Gαq- and Gα12/13-mediated pathways were also involved. To corroborate these results, label-based pathway-specific assays were performed. While CCL19 more potently induced β-arrestin2 recruitment and receptor internalisation than CCL21, both chemokines showed a similar level of Gαi protein activation. Altogether, these findings indicate that CEI is a powerful method to analyse receptor signalling and biased agonism. 相似文献
65.
Stefano Levi Mortera Valeria Marzano Pamela Vernocchi Maria Cristina Matteoli Valerio Guarrasi Simone Gardini Federica Del Chierico Novella Rapini Annalisa Deodati Alessandra Fierabracci Stefano Cianfarani Lorenza Putignani 《International journal of molecular sciences》2022,23(24)
Type 1 diabetes (T1D) is a chronic autoimmune metabolic disorder with onset in pediatric/adolescent age, characterized by insufficient insulin production, due to a progressive destruction of pancreatic β-cells. Evidence on the correlation between the human gut microbiota (GM) composition and T1D insurgence has been recently reported. In particular, 16S rRNA-based metagenomics has been intensively employed in the last decade in a number of investigations focused on GM representation in relation to a pre-disease state or to a response to clinical treatments. On the other hand, few works have been published using alternative functional omics, which is more suitable to provide a different interpretation of such a relationship. In this work, we pursued a comprehensive metaproteomic investigation on T1D children compared with a group of siblings (SIBL) and a reference control group (CTRL) composed of aged matched healthy subjects, with the aim of finding features in the T1D patients’ GM to be related with the onset of the disease. Modulated metaproteins were found either by comparing T1D with CTRL and SIBL or by stratifying T1D by insulin need (IN), as a proxy of β-cells damage, showing some functional and taxonomic traits of the GM, possibly related to the disease onset at different stages of severity. 相似文献
66.
Human serum is a mixture of various proteins which may interact with drugs. Therefore, it is of interest to investigate the binding kinetics of pharmaceuticals with their corresponding antibodies in serum. In this article, microarrays and a label-free biosensor were used to study these interactions. Microarrays provide a high-throughput platform for characterizing biomolecular interactions, and the label-free oblique-incidence reflectivity difference biosensor avoids the drawbacks of fluorescence-based methods. The experimental results show that the binding affinities between most of the drugs and their antibodies were reduced in human serum because the bulky proteins block the access to or reduce the stability of the reaction complexes. Therefore, one should be mindful when in vitro or in vivo testing the efficiency of potential drugs and their antibodies. 相似文献
67.
Robert Horvath Balázs Kobzi Helmut Keul Martin Moeller éva Kiss 《International journal of molecular sciences》2013,14(5):9722-9736
The interaction of the antibacterial polymer–branched poly(ethylene imine) substituted with quaternary ammonium groups, PEO and alkyl chains, PEI25QI5J5A815–with a solid supported lipid bilayer was investigated using surface sensitive optical waveguide spectroscopy. The analysis of the optogeometrical parameters was extended developing a new composite layer model in which the structural and optical anisotropy of the molecular layers was taken into consideration. Following in situ the change of optical birefringence we were able to determine the composition of the lipid/polymer surface layer as well as the displacement of lipid bilayer by the antibacterial polymer without using additional labeling. Comparative assessment of the data of layer thickness and optical anisotropy helps to reveal the molecular mechanism of antibacterial effect of the polymer investigated. 相似文献
68.
Normann Kilb Tobias Herz Dr. Jürgen Burger Johannes Woehrle Philipp A. Meyer Dr. Günter Roth 《Chembiochem : a European journal of chemical biology》2019,20(12):1554-1562
Protein microarrays are essential to understand complex protein interaction networks. Their production, however, is a challenge and renders this technology unattractive for many laboratories. Recent developments in cell-free protein microarray generation offer new opportunities, but are still expensive and cumbersome in practice. Herein, we describe a cost-effective and user-friendly method for the cell-free production of protein microarrays. From a polydimethylsiloxane (PDMS) flow cell containing an expressible DNA microarray, proteins of interest are synthesised by cell-free expression and then immobilised on a capture surface. The resulting protein microarray can be regarded as a “copy” of the DNA microarray. 2 His6- and Halo-tagged fluorescent reference proteins were used to demonstrate the functionality of nickel nitrilotriacetic acid (Ni-NTA) and Halo-bind surfaces in this copy system. The described process can be repeated several times on the same DNA microarray. The identity and functionality of the proteins were proven during the copy process by their fluorescence and on the surface through a fluorescent immune assay. Also, single-colour reflectometry (SCORE) was applied to show that, on such copied arrays, real-time binding kinetic measurements were possible. 相似文献
69.
Analysis of differential abundance in proteomics data sets requires careful application of missing value imputation. Missing abundance values widely vary when performing comparisons across different sample treatments. For example, one would expect a consistent rate of “missing at random” (MAR) across batches of samples and varying rates of “missing not at random” (MNAR) depending on the inherent difference in sample treatments within the study. The missing value imputation strategy must thus be selected that best accounts for both MAR and MNAR simultaneously. Several important issues must be considered when deciding the appropriate missing value imputation strategy: (1) when it is appropriate to impute data; (2) how to choose a method that reflects the combinatorial manner of MAR and MNAR that occurs in an experiment. This paper provides an evaluation of missing value imputation strategies used in proteomics and presents a case for the use of hybrid left-censored missing value imputation approaches that can handle the MNAR problem common to proteomics data. 相似文献
70.