Logo image
Immunodetection of human T-cell lymphotropic virus type I core protein in biological samples by using a monoclonal antibody immunoassay
Journal article   Open access   Peer reviewed

Immunodetection of human T-cell lymphotropic virus type I core protein in biological samples by using a monoclonal antibody immunoassay

L Papsidero, F Swartzwelder, M Sheu, R Montagna, G Ehrlich, S Bhagavati, H Dosik, J Sninsky and B Poiesz
Journal of clinical microbiology, v 28(5), pp 949-955
May 1990
PMID: 2191015
url
https://doi.org/10.1128/jcm.28.5.949-955.1990View
Published, Version of Record (VoR)Maybe Open Access (Publisher Bronze) Open

Abstract

A monoclonal antibody-based enzyme immunoassay (EIA) has been developed for detection of human T-cell lymphotropic virus type I (HTLV-I) core protein. The monoclonal antibody (clone 6.11) specifically recognizes the p19 gag gene-encoded protein of the virus. The EIA was over 100 times more sensitive than reverse transcriptase measurement and was capable of responding to less than 500 pg of whole-virus lysate. The assay exhibited type specificity in that HTLV-II antigens failed to produce a positive signal. In addition, a panel of other viruses demonstrated no antigenic cross-reactivity. These included herpesviruses, measles virus, human immunodeficiency viruses, and others. Viral p19 was followed during the course of density gradient ultracentrifugation in the presence of detergent, where it was noted to associate with viral membrane proteins. In comparison, reverse transcriptase activity localized in fractions of higher density containing envelope-free cores. Of clinical interest, the EIA was used to detect HTLV-I antigen in the viral cultures of patients with HTLV-I-associated myelopathies and from symptom-free individuals with proviral integration.

Metrics

2 Record Views
18 citations in Scopus

Details

UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

InCites Highlights

Data related to this publication, from InCites Benchmarking & Analytics tool:

Web of Science research areas
Microbiology
Logo image