CLASSIFICATION OF MULTICHANNEL IMAGES BASED ON CELLULAR PROCESSES

2019 ◽  
Author(s):  
R. A. Tomakova
Keyword(s):  
Cellular Processes ◽  
Multichannel Images

scholarly journals Immunoepigenetics Combination Therapies: An Overview of the Role of HDACs in Cancer Immunotherapy

2019 ◽  
Vol 20 (9) ◽  
pp. 2241 ◽  
Author(s):  
Debarati Banik ◽  
Sara Moufarrij ◽  
Alejandro Villagra
Keyword(s):  
Histone Deacetylase Inhibitors ◽  
Critical Role ◽  
Preclinical Studies ◽  
Clinical Use ◽  
Combination Therapies ◽  
Drug Candidates ◽  
Cellular Processes ◽  
Fda Approval

Long-standing efforts to identify the multifaceted roles of histone deacetylase inhibitors (HDACis) have positioned these agents as promising drug candidates in combatting cancer, autoimmune, neurodegenerative, and infectious diseases. The same has also encouraged the evaluation of multiple HDACi candidates in preclinical studies in cancer and other diseases as well as the FDA-approval towards clinical use for specific agents. In this review, we have discussed how the efficacy of immunotherapy can be leveraged by combining it with HDACis. We have also included a brief overview of the classification of HDACis as well as their various roles in physiological and pathophysiological scenarios to target key cellular processes promoting the initiation, establishment, and progression of cancer. Given the critical role of the tumor microenvironment (TME) towards the outcome of anticancer therapies, we have also discussed the effect of HDACis on different components of the TME. We then have gradually progressed into examples of specific pan-HDACis, class I HDACi, and selective HDACis that either have been incorporated into clinical trials or show promising preclinical effects for future consideration. Finally, we have included examples of ongoing trials for each of the above categories of HDACis as standalone agents or in combination with immunotherapeutic approaches.

Classification of filtered multichannel images

2010 ◽  
Author(s):  
Dmitriy V. Fevralev ◽  
Vladimir V. Lukin ◽  
Nikolay N. Ponomarenko ◽  
Benoit Vozel ◽  
Kacem Chehdi ◽  
...  
Keyword(s):  
Multichannel Images

scholarly journals The Richness and Diversity of Catalases in Bacteria

2021 ◽  
Vol 12 ◽  
Author(s):  
Fang Yuan ◽  
Shouliang Yin ◽  
Yang Xu ◽  
Lijun Xiang ◽  
Haiyan Wang ◽  
...  
Keyword(s):  
Secondary Metabolite ◽  
Bacterial Genomes ◽  
Bacterial Phyla ◽  
Cellular Processes ◽  
Detailed Classification ◽  
Secondary Metabolite Biosynthesis ◽  
Catalase Peroxidase ◽  
Development And Differentiation ◽  
Engineered Bacteria

Catalases play a key role in the defense against oxidative stress in bacteria by catalyzing the decomposition of H2O2. In addition, catalases are also involved in multiple cellular processes, such as cell development and differentiation, as well as metabolite production. However, little is known about the abundance, diversity, and distribution of catalases in bacteria. In this study, we systematically surveyed and classified the homologs of three catalase families from 2,634 bacterial genomes. It was found that both of the typical catalase and Mn-catalase families could be divided into distinct groups, while the catalase-peroxidase homologs formed a tight family. The typical catalases are rich in all the analyzed bacterial phyla except Chlorobi, in which the catalase-peroxidases are dominant. Catalase-peroxidases are rich in many phyla, but lacking in Deinococcus-Thermus, Spirochetes, and Firmicutes. Mn-catalases are found mainly in Firmicutes and Deinococcus-Thermus, but are rare in many other phyla. Given the fact that catalases were reported to be involved in secondary metabolite biosynthesis in several Streptomyces strains, the distribution of catalases in the genus Streptomyces was given more attention herein. On average, there are 2.99 typical catalases and 0.99 catalase-peroxidases in each Streptomyces genome, while no Mn-catalases were identified. To understand detailed properties of catalases in Streptomyces, we characterized all the five typical catalases from S. rimosus ATCC 10970, the oxytetracycline-producing strain. The five catalases showed typical catalase activity, but possessed different catalytic properties. Our findings contribute to the more detailed classification of catalases and facilitate further studies about their physiological roles in secondary metabolite biosynthesis and other cellular processes, which might facilitate the yield improvement of valuable secondary metabolites in engineered bacteria.

scholarly journals Multilabel Classification of Membrane Protein in Human by Decision Tree (DT) Approach

2018 ◽  
Vol 11 (1) ◽  
pp. 113-121 ◽  
Author(s):  
Nijil Raj N ◽  
T. Mahalekshmi
Keyword(s):  
Membrane Protein ◽  
Decision Tree ◽  
Protein Function ◽  
Cellular Processes ◽  
Semantic Scene ◽  
Class Labels ◽  
Essential Set ◽  
Type Classification ◽  
Better Than

Multi-label classification methods are important in various fields,such as protein type,protein function, semantic scene classification and music categorization . In multi-label classification, each sample can be associated with a set of class labels. In protein type classification, one of the major types of protein is membrane protein. The Membrane proteins are performing different cellular processes and important functions, which are based on the protein types. Each membrane protein have different rolls at the same time. In this study we proposes membrane protein type classification using Decision Tree (DT) classification algorithm. The DT classifies a membrane protein into six types . An essential set of features are extracted from the membrane protein dataset S1 which are used for the proposed method,and it was revealed an accuracy of 69.81%, whereas existing methods network based and shortest path revealed an accuracy of 66.78%,54.97%.The accuracy got in the existing methods are not for the full set of protein in dataset S1, but it is achieved after removal of few unannotated protein. Both accuracy wise and complexity wise, the proposed method seems to be better than the existing method

scholarly journals Approaches to Classification of Multichannel Images

2006 ◽  
pp. 794-803 ◽  
Author(s):  
Vladimir Lukin ◽  
Nikolay Ponomarenko ◽  
Andrey Kurekin ◽  
Kenneth Lever ◽  
Oleksiy Pogrebnyak ◽  
...  
Keyword(s):  
Multichannel Images

Note on the spectral classification of carbon stars in the photographic infrared region

1966 ◽  
Vol 24 ◽  
pp. 21-23
Author(s):  
Y. Fujita
Keyword(s):  
Infrared Region ◽  
Spectral Classification ◽  
Carbon Stars

We have investigated the spectrograms (dispersion: 8Å/mm) in the photographic infrared region fromλ7500 toλ9000 of some carbon stars obtained by the coudé spectrograph of the 74-inch reflector attached to the Okayama Astrophysical Observatory. The names of the stars investigated are listed in Table 1.

Diagnostic Value of Electron Microscopy in Soft Tissue Tumors

1970 ◽  
Vol 28 ◽  
pp. 220-221
Author(s):  
Gerald Fine ◽  
Azorides R. Morales
Keyword(s):  
Cardiac Myxoma ◽  
Osteogenic Sarcoma ◽  
Diagnostic Value ◽  
Soft Tissue Tumors ◽  
Amelanotic Melanoma ◽  
Growth Patterns ◽  
Light Microscopic Level ◽  
Mesenchymal Tumors ◽  
Good Agreement

For years the separation of carcinoma and sarcoma and the subclassification of sarcomas has been based on the appearance of the tumor cells and their microscopic growth pattern and information derived from certain histochemical and special stains. Although this method of study has produced good agreement among pathologists in the separation of carcinoma from sarcoma, it has given less uniform results in the subclassification of sarcomas. There remain examples of neoplasms of different histogenesis, the classification of which is questionable because of similar cytologic and growth patterns at the light microscopic level; i.e. amelanotic melanoma versus carcinoma and occasionally sarcoma, sarcomas with an epithelial pattern of growth simulating carcinoma, histologically similar mesenchymal tumors of different histogenesis (histiocytoma versus rhabdomyosarcoma, lytic osteogenic sarcoma versus rhabdomyosarcoma), and myxomatous mesenchymal tumors of diverse histogenesis (myxoid rhabdo and liposarcomas, cardiac myxoma, myxoid neurofibroma, etc.)

Ultrastructure of mesotheliomas

1984 ◽  
Vol 42 ◽  
pp. 98-101
Author(s):  
Irving Dardick
Keyword(s):  
Electron Microscopy ◽  
Latent Period ◽  
Spindle Cell ◽  
Spindle Cell Sarcoma ◽  
Metastatic Adenocarcinoma ◽  
Cell Sarcoma ◽  
Cytological Features ◽  
Industrial Use ◽  
Degree Of Differentiation

With the extensive industrial use of asbestos in this century and the long latent period (20-50 years) between exposure and tumor presentation, the incidence of malignant mesothelioma is now increasing. Thus, surgical pathologists are more frequently faced with the dilemma of differentiating mesothelioma from metastatic adenocarcinoma and spindle-cell sarcoma involving serosal surfaces. Electron microscopy is amodality useful in clarifying this problem.In utilizing ultrastructural features in the diagnosis of mesothelioma, it is essential to appreciate that the classification of this tumor reflects a variety of morphologic forms of differing biologic behavior (Table 1). Furthermore, with the variable histology and degree of differentiation in mesotheliomas it might be expected that the ultrastructure of such tumors also reflects a range of cytological features. Such is the case.

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