Skip to main content Accessibility help
×
Hostname: page-component-7479d7b7d-pfhbr Total loading time: 0 Render date: 2024-07-12T05:01:56.394Z Has data issue: false hasContentIssue false

15 - Nucleic acids

Published online by Cambridge University Press:  06 January 2010

Charles L. Goolsby
Affiliation:
Northwest University Medical School, Chicago, USA
Desmond A. McCarthy
Affiliation:
Queen Mary University of London
Marion G. Macey
Affiliation:
The Royal London Hospital
Get access

Summary

Introduction

Although much remains to be elucidated, the molecular mechanisms underlying or associated with a number of human diseases have, in the 1990s, become better understood. With the completion of the Human Genome Project, we can expect human disease-associated loci or genes to be discovered with greater frequency. The accompanying paradigm shift in laboratory medicine to a wider use of molecular techniques in the diagnosis of human disease is clearly reflected in the new proposed World Health Organization classification of acute leukaemias. At the same time there is a move to use of molecular detection methods for the determination of antibiotic resistance genes in bacterial infections. Clinicians will increasingly be expected to understand the genetic basis of disease and to interpret the results of laboratory tests aimed at detecting or reflecting events at the genetic level.

Where there is a strong correlation and specificity between an underlying genetic alteration and cellular immunophenotype, cytometry may be a costeffective and powerful screening tool. However, combined genetic and immunophenotypic analysis at the single cell level can provide information that is essential to a better understanding of the role of cellular heterogeneity in disease onset and progression and of the response to therapy. This can be facilitated by linking sequence-specific nucleic acid detection techniques with classical cell-based quantitative, multiparameter approaches such as flow cytometry or laser scanning cytometry. Thus subpopulations that are positive for a specific genetic sequence, genetic alteration or infectious organism can be detected within cell populations of a given immunophenotype; conversely, immunophenotypic heterogeneity can be determined within cell populations containing a particular nucleic acid sequence.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2001

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×