There are two causes that make chromosomes unstable: errors in the process of the spindle fiber assembly and chromosome segregation during mitosis. Therefore, many studies and reviews have reported that it is possible to eliminate highly proliferative cancer cells specifically by practicing cell death induction by producing chromosomes in cancer cells that are more unstable and inducing aneuploidy during mitosis. Recently, a new strategy was developed to combat cancer cells using the phenomenon of chromosome instability and aneuploidy. Mild chromosome instability in cancer cells will slightly promote growth and thereby facilitate malignancy however, high chromosome instability will lead to cell death and is a mechanism that inhibits tumor growth. Multiple studies have confirmed that chromosome instability influences cancer cells in two different ways. Centrosome defects during mitosis can lead to chromosome mis-segregation and aneuploidy, resulting in genome instability and, more importantly, are the primary driving force for malignant transformation and tumor progression. This phenomenon is called instability and may result from molecular changes caused by chromosome segregation during mitosis. However, different cancer cells have different levels of chromosome changes (either losses or gains). In most situations, this behavior is attributed to the dysregulation of chromosome segregation in cancer cells. Generally, a disorder in the mechanism regulating chromosome segregation in cancer cells causes the cell cycle to become dysregulated along with the overexpression of mitosis-regulating factors, resulting in carcinogenesis. The following sections will illustrate the methodology and workflow design of this study, as well as explain the practicality of the experimental comparisons and the results that were used to validate the practicality of this algorithm.Ī dysregulated cell cycle is a common phenomenon in human cancers, and many therapeutic strategies focus on inhibiting the proliferation of cancerous cells. This approach provides a method for researchers to detect colon cancer cells in an accurate and time-efficient manner, thereby decreasing errors and the processing time. This approach integrates the application of a convolutional neural network for normal cell identification and the proposed color layer signature analysis (CLSA) to spot cells with mitotic defects and micronuclei. Therefore, this study aims to detect cells with mitotic defects and micronuclei by applying an approach that can automatically count the targets. However, manual work is required to count the number of cells exhibiting mitotic defects and micronuclei either directly from the viewing window of a microscope or from an image, which is tedious and creates errors. Researchers use these two biomarkers to assess the effects of drugs on eliminating cancer cells. Studies have reported that the mitotic defects and micronuclei in cancer cells can be used as biomarkers to evaluate the instability of the chromosomes. One of the available strategies is to use targeted therapy drugs to make the chromosomes in cancer cells unstable such that cell death can be induced, and the elimination of highly proliferative cancer cells can be achieved. Updated MaBug fixes.Exploring strategies to treat cancer has always been an aim of medical researchers. Updated MaNow supports saving search queries from PubMed and Google Scholar to My Folders! Look for the DeepDyve button next to your search results to add an article to a folder youĪs always, find the articles that are available to read on DeepDyve by looking for the orange 'available' Updated ApYou can now keep track of any article you find in PubMed or Google Scholar in Updated ApUse DeepDyve to automatically keep track of what documents were interesting during your searches on PubMedĪnd Google Scholar! Find your combined document viewing history in the updated Updated Bug fixes and performance improvements. Updated See your Recent Activity directly from the popup!Īlso included: various bug fixes and improvements for automatically saving Recent Activity. Updated Updating popup to properly display Science Direct searches and articles in your Recent Activity Updated Adding support for Science Direct searches and articles in your Recent Activity Updated Bug fixes and minor improvements to metadata collection for Recent Activity.
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |