![conference banner](/images/conference-banner.jpeg)
Abstract
Chromosome analysis has been a cornerstone both for the identification of genetic defects that predispose to a variety of genetic syndromes as well as for the analysis of cancer progression. The relatively low resolution of metaphase chromosomes, however, only allows characterization of major genetic events which are defined at the megabase level. The development of the human genome-wide bacterial artificial chromosome (BACs) libraries which were used as templates for the human genome project made it possible to design microarrays containing these BACs which can theoretically span the genome uninterrupted. Comparative genomic hybridization to these arrays using test and reference DNA samples reveals numerical chromosome abnormalities (deletions, gains and amplifications) which can be accurately defined with a resolution depending on the density of the arrays. Analysis of test DNA samples using these arrays reveals low level deletions and amplifications that cannot be detected by chromosome analysis and provides a global view of these genetic changes in a single overnight hybridization using a high throughput approach. The extent of the genetic changes can then be determined precisely and the gene content of the affected regions established. These BAC arrays have widespread application to the analysis of constitutional genetic abnormalities associated with human diseases as well as cancer patients and their tumors. The development of similar BAC arrays for the mouse genome means that it is now possible to extend the CGHa approach to the study of genetic disorders and cancer models in mice.
Keywords: bacterial artificial chromosomes, comparative genomic hybridization, chromosomes abnormalities, cgha, chromosome deletions, gene amplification
Combinatorial Chemistry & High Throughput Screening
Title: High Throughput Determination of Gains and Losses of Genetic Material Using High Resolution BAC Arrays and Comparative Genomic Hybridization
Volume: 7 Issue: 6
Author(s): John K. Cowell
Affiliation:
Keywords: bacterial artificial chromosomes, comparative genomic hybridization, chromosomes abnormalities, cgha, chromosome deletions, gene amplification
Abstract: Chromosome analysis has been a cornerstone both for the identification of genetic defects that predispose to a variety of genetic syndromes as well as for the analysis of cancer progression. The relatively low resolution of metaphase chromosomes, however, only allows characterization of major genetic events which are defined at the megabase level. The development of the human genome-wide bacterial artificial chromosome (BACs) libraries which were used as templates for the human genome project made it possible to design microarrays containing these BACs which can theoretically span the genome uninterrupted. Comparative genomic hybridization to these arrays using test and reference DNA samples reveals numerical chromosome abnormalities (deletions, gains and amplifications) which can be accurately defined with a resolution depending on the density of the arrays. Analysis of test DNA samples using these arrays reveals low level deletions and amplifications that cannot be detected by chromosome analysis and provides a global view of these genetic changes in a single overnight hybridization using a high throughput approach. The extent of the genetic changes can then be determined precisely and the gene content of the affected regions established. These BAC arrays have widespread application to the analysis of constitutional genetic abnormalities associated with human diseases as well as cancer patients and their tumors. The development of similar BAC arrays for the mouse genome means that it is now possible to extend the CGHa approach to the study of genetic disorders and cancer models in mice.
Export Options
About this article
Cite this article as:
Cowell K. John, High Throughput Determination of Gains and Losses of Genetic Material Using High Resolution BAC Arrays and Comparative Genomic Hybridization, Combinatorial Chemistry & High Throughput Screening 2004; 7 (6) . https://dx.doi.org/10.2174/1386207043328481
DOI https://dx.doi.org/10.2174/1386207043328481 |
Print ISSN 1386-2073 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5402 |
Call for Papers in Thematic Issues
Artificial Intelligence Methods for Biomedical, Biochemical and Bioinformatics Problems
Recently, a large number of technologies based on artificial intelligence have been developed and applied to solve a diverse range of problems in the areas of biomedical, biochemical and bioinformatics problems. By utilizing powerful computing resources and massive amounts of data, methods based on artificial intelligence can significantly improve the ...read more
Exploring Spectral Graph Theory in Combinatorial Chemistry
Combinatorial chemistry involves the synthesis and analysis of a large number of diverse compounds simultaneously. Traditional methods rely on brute-force experimentation, which can be time-consuming and resource-intensive. Spectral graph theory, a branch of mathematics dealing with the properties of graphs in relation to the eigenvalues and eigenvectors of matrices associated ...read more
![Wayfinder Image](/images/wayfinder.jpg)
- Author Guidelines
- Graphical Abstracts
- Fabricating and Stating False Information
- Research Misconduct
- Post Publication Discussions and Corrections
- Publishing Ethics and Rectitude
- Increase Visibility of Your Article
- Archiving Policies
- Peer Review Workflow
- Order Your Article Before Print
- Promote Your Article
- Manuscript Transfer Facility
- Editorial Policies
- Allegations from Whistleblowers
Related Articles
-
Application of Baculovirus-Insect Cell Expression System for Human Therapy
Current Pharmaceutical Biotechnology Small Molecules Targeting p53 to Improve Antitumor Therapy
Mini-Reviews in Medicinal Chemistry Dexamethasone Reduces Cell Adhesion and Migration of T47D Breast Cancer Cell Line
Anti-Cancer Agents in Medicinal Chemistry Effect of MRJF4 on C6 Glioma Cells Proliferation and Migration
Central Nervous System Agents in Medicinal Chemistry Molecular Targeting of Cell Death Signal Transduction Pathways in Cancer
Current Signal Transduction Therapy Clinical Trials of Targeted Alpha Therapy for Cancer
Reviews on Recent Clinical Trials Heavy Metals and Epigenetic Alterations in Brain Tumors
Current Genomics Recent Advances on Small Molecule Medicinal Chemistry to Treat Human Diseases
Current Topics in Medicinal Chemistry Organic Nanotheranostics for Photoacoustic Imaging-Guided Phototherapy
Current Medicinal Chemistry Development of Curcumin-Loaded Solid Lipid Nanoparticles Utilizing Glyceryl Monostearate as Single Lipid Using QbD Approach: Characterization and Evaluation of Anticancer Activity Against Human Breast Cancer Cell Line
Current Drug Delivery Carbon Nanotube: A Versatile Carrier for Various Biomedical Applications
Drug Delivery Letters Tumor-Targeting Peptides: Ligands for Molecular Imaging and Therapy
Anti-Cancer Agents in Medicinal Chemistry The Potential of Tetrandrine Against Gliomas
Anti-Cancer Agents in Medicinal Chemistry Key miRNAs in Modulating Aging and Longevity: A Focus on Signaling Pathways and Cellular Targets
Current Molecular Pharmacology Ribozymes in the Age of Molecular Therapeutics
Current Molecular Medicine 5-Lipoxygenase in the Central Nervous System: Therapeutic Implications
Current Medicinal Chemistry - Anti-Inflammatory & Anti-Allergy Agents Protein Degradation Pathways after Brain Ischemia
Current Drug Targets The Metastatic Process: Methodological Advances and Pharmacological Challenges
Current Medicinal Chemistry Roles of AFAP1-AS1 in Gynecology and Urogenital System
Current Pharmaceutical Design Intraoperative Targeted Optical Imaging: A Guide towards Tumor-Free Margins in Cancer Surgery
Current Pharmaceutical Biotechnology