Proliferation and Clonal Selection in Hepatocarcinogenesis

1987 ◽  
pp. 39-49
Author(s):  
H. M. Rabes
Keyword(s):  
Clonal Selection

A Fast Multi-Pattern Motion Estimation Algorithm Based on Quantum Clonal Selection

2011 ◽  
Vol 30 (10) ◽  
pp. 2311-2314
Author(s):  
Zhen Liu ◽  
Zhong-ying Bai ◽  
Jin-ming Shi ◽  
Zhao-wen Lin
Keyword(s):  
Motion Estimation ◽  
Clonal Selection ◽  
Estimation Algorithm ◽  
Pattern Motion ◽  
Motion Estimation Algorithm

Immune-clonal-selection based Spectrum Assignment for Cognitive Radio Networks

2011 ◽  
Vol 33 (7) ◽  
pp. 1561-1567 ◽  
Author(s):  
Xiao-fei Wang ◽  
Yue-bing Chen ◽  
Xi Zhang ◽  
Quan Zhang ◽  
Chao-jing Tang
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Clonal Selection ◽  
Radio Networks ◽  
Spectrum Assignment

scholarly journals Clonal approaches to understanding the impact of mutations on hematologic disease development

Blood ◽  
2019 ◽  
Vol 133 (13) ◽  
pp. 1436-1445 ◽  
Author(s):  
Jyoti Nangalia ◽  
Emily Mitchell ◽  
Anthony R. Green
Keyword(s):  
Somatic Mutations ◽  
Clonal Selection ◽  
Single Cells ◽  
Driver Mutations ◽  
Great Promise ◽  
Tumor Evolution ◽  
Disease Development ◽  
Hematopoietic Tissue ◽  
The Impact

Abstract Interrogation of hematopoietic tissue at the clonal level has a rich history spanning over 50 years, and has provided critical insights into both normal and malignant hematopoiesis. Characterization of chromosomes identified some of the first genetic links to cancer with the discovery of chromosomal translocations in association with many hematological neoplasms. The unique accessibility of hematopoietic tissue and the ability to clonally expand hematopoietic progenitors in vitro has provided fundamental insights into the cellular hierarchy of normal hematopoiesis, as well as the functional impact of driver mutations in disease. Transplantation assays in murine models have enabled cellular assessment of the functional consequences of somatic mutations in vivo. Most recently, next-generation sequencing–based assays have shown great promise in allowing multi-“omic” characterization of single cells. Here, we review how clonal approaches have advanced our understanding of disease development, focusing on the acquisition of somatic mutations, clonal selection, driver mutation cooperation, and tumor evolution.

scholarly journals Hypoplastic Myelodysplastic Syndromes: Just an Overlap Syndrome?

Cancers ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 132
Author(s):  
Bruno Fattizzo ◽  
Fabio Serpenti ◽  
Wilma Barcellini ◽  
Chiara Caprioli
Keyword(s):  
Bone Marrow ◽  
Aplastic Anemia ◽  
Clonal Selection ◽  
Cytotoxic T Cells ◽  
Immunosuppressive Treatment ◽  
Young Patients ◽  
Suppressor Cells ◽  
Molecular Alterations ◽  
Molecular Features ◽  
Increased Risk

Myelodysplasias with hypocellular bone marrow (hMDS) represent about 10–15% of MDS and are defined by reduced bone marrow cellularity (i.e., <25% or an inappropriately reduced cellularity for their age in young patients). Their diagnosis is still an object of debate and has not been clearly established in the recent WHO classification. Clinical and morphological overlaps with both normo/hypercellular MDS and aplastic anemia include cytopenias, the presence of marrow hypocellularity and dysplasia, and cytogenetic and molecular alterations. Activation of the immune system against the hematopoietic precursors, typical of aplastic anemia, is reckoned even in hMDS and may account for the response to immunosuppressive treatment. Finally, the hMDS outcome seems more favorable than that of normo/hypercellular MDS patients. In this review, we analyze the available literature on hMDS, focusing on clinical, immunological, and molecular features. We show that hMDS pathogenesis and clinical presentation are peculiar, albeit in-between aplastic anemia (AA) and normo/hypercellular MDS. Two different hMDS phenotypes may be encountered: one featured by inflammation and immune activation, with increased cytotoxic T cells, increased T and B regulatory cells, and better response to immunosuppression; and the other, resembling MDS, where T and B regulatory/suppressor cells prevail, leading to genetic clonal selection and an increased risk of leukemic evolution. The identification of the prevailing hMDS phenotype might assist treatment choice, inform prognosis, and suggest personalized monitoring.

scholarly journals Optimization on Vehicle Routing Problem Based on Immune Clonal Selection Algorithm

2012 ◽  
Vol 6-7 ◽  
pp. 256-260
Author(s):  
Hai Hua Li ◽  
Zong Yan Xu ◽  
Fei Fei Zhou
Keyword(s):  
Vehicle Routing ◽  
Vehicle Routing Problem ◽  
Clonal Selection ◽  
Solution Space ◽  
Genetic Mutation ◽  
Initial Population ◽  
Local Optimum ◽  
Clonal Selection Algorithm ◽  
Routing Problem ◽  
Optimum Solution

Vehicle routing problem is a typical NP-hard problem and is difficult to get an optimum solution. Aiming at the shortages of the existing methods, this paper proposed an algorithm based on immune clonal selection to solve vehicle routing problem. In the algorithm, expressed antibody with matrix, generated the initial population of antibodies randomly, and employed the operations such as clonal selection, genetic mutation iteratively to search optimum solution in solution space. The experimental results show that the algorithm presented here can converge to the global optimum solution rapidly, overcoming such disadvantages of the genetic algorithm as slower convergent velocity and the convergence to a local optimum solution.

Sign in / Sign up

Export Citation Format

Share Document