Radiation Pneumonitis in Thoracic Cancer Patients: Multi-Center Voxel-Based Analysis

This study investigates the dose–response patterns associated with radiation pneumonitis (RP) in patients treated for thoracic malignancies with different radiation modalities. To this end, voxel-based analysis (VBA) empowered by a novel strategy for the characterization of spatial properties of dose maps was applied. Data from 382 lung cancer and mediastinal lymphoma patients from three institutions treated with different radiation therapy (RT) techniques were analyzed. Each planning CT and biologically effective dose map (α/β = 3 Gy) was spatially normalized on a common anatomical reference. The VBA of local dose differences between patients with and without RP was performed and the clusters of voxels with dose differences that significantly correlated with RP at a p-level of 0.05 were generated accordingly. The robustness of VBA inference was evaluated by a novel characterization for spatial properties of dose maps based on probabilistic independent component analysis (PICA) and connectograms. This lays robust foundations to the obtained findings that the lower parts of the lungs and the heart play a prominent role in the development of RP. Connectograms showed that the dataset can support a radiobiological differentiation between the main heart and lung substructures.

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A Novel Strategy for Isolation, Molecular and Functional Characterization of Embryonic Mammary Stem Cells Using Molecular Genetics and Microfluidic Sorting

10.21236/ada488861 ◽

2008 ◽

Author(s):

Geoffrey M. Wahl

Keyword(s):

Stem Cells ◽

Molecular Genetics ◽

Functional Characterization ◽

Mammary Stem Cells ◽

Mammary Stem ◽

Novel Strategy ◽

Microfluidic Sorting

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Experimental and numerical mixed-mode I + II fracture characterization of carbon fibre reinforced polymer laminates using a novel strategy

Composite Structures ◽

10.1016/j.compstruct.2021.113683 ◽

2021 ◽

Vol 263 ◽

pp. 113683

Author(s):

Francis M.G. Ramírez ◽

Marcelo F.S.F. de Moura ◽

Raul D.F. Moreira ◽

Filipe G.A. Silva

Keyword(s):

Carbon Fibre ◽

Mixed Mode ◽

Mode I ◽

Fracture Characterization ◽

Reinforced Polymer ◽

Carbon Fibre Reinforced Polymer ◽

Fibre Reinforced Polymer ◽

Novel Strategy ◽

Polymer Laminates

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Characterization of Five New Earthworm Mitogenomes (Oligochaeta: Lumbricidae): Mitochondrial Phylogeny of Lumbricidae

Diversity ◽

10.3390/d13110580 ◽

2021 ◽

Vol 13 (11) ◽

pp. 580

Author(s):

Hongyi Liu ◽

Yufeng Zhang ◽

Wei Xu ◽

Yu Fang ◽

Honghua Ruan

Keyword(s):

Phylogenetic Trees ◽

Mitochondrial Gene ◽

Morphological Characteristics ◽

Molecular Techniques ◽

Phylogenetic Studies ◽

Octolasion Tyrtaeum ◽

Eisenia Nordenskioldi ◽

Novel Strategy

Identification based on conventional morphological characteristics is typically difficult and time-consuming. The development of molecular techniques provides a novel strategy that relies on specific mitochondrial gene fragments to conduct authentication. For this study, five newly sequenced partial mitogenomes of earthworms (Bimastos parvus, Dendrobaena octaedra, Eisenia andrei, Eisenia nordenskioldi, and Octolasion tyrtaeum) with lengths ranging from 14,977 to 15,715 were presented. Each mitogenome possessed a putative control region that resided between tRNA-Arg and tRNA-His. All of the PCGs were under negative selection according to the value of Ka/Ks. The phylogenetic trees supported the classification of Eisenia and Lumbricus; however, the trees based on cox1 did not. Through various comparisons, it was determined that cox1 fragments might be more suitable for molecular identification. These results lay the foundation for further phylogenetic studies on Lumbricidae.

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Disentangling Contributions from Heart and Lung Anatomical Substructures to Radiation Induced Toxicities: Characterization of Spatial Properties of Dosimetric Data for Voxel-Based Analyses

International Journal of Radiation Oncology*Biology*Physics ◽

10.1016/j.ijrobp.2020.07.704 ◽

2020 ◽

Vol 108 (3) ◽

pp. e294-e295

Author(s):

G. Palma ◽

S. Monti ◽

A. Stanzione ◽

T. Xu ◽

M. Durante ◽

...

Keyword(s):

Spatial Properties ◽

Dosimetric Data ◽

Radiation Induced

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A novel strategy for the characterization of glaucocalyxin A metabolites in vivo and in vitro by UHPLC-Q-TOF-MS based on DDA and DIA data acquisitions

RSC Advances ◽

10.1039/c9ra06830a ◽

2020 ◽

Vol 10 (18) ◽

pp. 10431-10446

Author(s):

Wenjing Sun ◽

Yiran Jin ◽

Shuai Guan ◽

Mengxin Yang ◽

Miaoting Zhang ◽

...

Keyword(s):

Process Flow ◽

Experimental Process ◽

Novel Strategy ◽

Tof Ms

The experimental process flow.

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A Comprehensive Mapping of the Druggable Cavities within the SARS-CoV-2 Therapeutically Relevant Proteins by Combining Pocket and Docking Searches as Implemented in Pockets 2.0

International Journal of Molecular Sciences ◽

10.3390/ijms21145152 ◽

2020 ◽

Vol 21 (14) ◽

pp. 5152 ◽

Cited By ~ 5

Author(s):

Silvia Gervasoni ◽

Giulio Vistoli ◽

Carmine Talarico ◽

Candida Manelfi ◽

Andrea R. Beccari ◽

...

Keyword(s):

Virtual Screening ◽

Drug Repurposing ◽

Protein Targets ◽

In Silico Studies ◽

Allosteric Sites ◽

Binding Pockets ◽

Novel Strategy ◽

Better Than ◽

Comprehensive Mapping

(1) Background: Virtual screening studies on the therapeutically relevant proteins of the severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2) require a detailed characterization of their druggable binding sites, and, more generally, a convenient pocket mapping represents a key step for structure-based in silico studies; (2) Methods: Along with a careful literature search on SARS-CoV-2 protein targets, the study presents a novel strategy for pocket mapping based on the combination of pocket (as performed by the well-known FPocket tool) and docking searches (as performed by PLANTS or AutoDock/Vina engines); such an approach is implemented by the Pockets 2.0 plug-in for the VEGA ZZ suite of programs; (3) Results: The literature analysis allowed the identification of 16 promising binding cavities within the SARS-CoV-2 proteins and the here proposed approach was able to recognize them showing performances clearly better than those reached by the sole pocket detection; and (4) Conclusions: Even though the presented strategy should require more extended validations, this proved successful in precisely characterizing a set of SARS-CoV-2 druggable binding pockets including both orthosteric and allosteric sites, which are clearly amenable for virtual screening campaigns and drug repurposing studies. All results generated by the study and the Pockets 2.0 plug-in are available for download.

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