AI Article Synopsis
- A nonradioactive reverse transcriptase (RT) assay was utilized to measure RT activity and the development of RT-blocking antibodies in SIV-infected macaques during primary infection and after seroconversion.
- The RT assay proved to be about 40 times more sensitive than a traditional antigen capture immunoassay for detecting SIVsm in serum samples, detecting RT activity as low as 3 pg/ml.
- The RT assay identified viral replication as early as days 6-8 with peak levels on day 10, while RT-blocking antibodies were detected between days 17-23 and significantly increased by days 62-77, highlighting the assay's potential for monitoring SIV infection.
Article Abstract
A nonradioactive reverse transcriptase (RT) assay was used to measure RT activity in serum during the viremia peak associated with primary infection and for measuring the generation and maintenance of RT activity-blocking antibody (RTb-ab) titers during and after seroconversion in SIV-infected macaques. The RT assay was compared to an antigen capture immunoassay designed for HIV-2/SIVsm and was found to be approximately 40 times more sensitive in detecting SIVsm in serum from infected macaques. The RT assay detected RT activity in serum corresponding to levels from 3 pg/ml. Earliest detection of viral replication using the RT assay was on day 6-8, with a peak at day 10 (up to 8000 pg/ml). The earliest detection of RTb-ab was seen on day 17-23, with established RTb-ab titers by day 29, followed by increasing titers of 15,000-120,000 by day 62-77. The usefulness of RT and RTb-ab for monitoring the course of SIV infection in monkey models is discussed.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1089/aid.1997.13.601 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
TERT-TP53 mutations: a novel biomarker pair for hepatocellular carcinoma recurrence and prognosis.
Sci Rep
January 2025
Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China.
Hepatocellular carcinoma (HCC) is the most prevalent form of liver cancer, and ranks among the most lethal malignancies globally, primarily due to its high rates of recurrence and metastasis. Despite the urgency, no reliable biomarkers currently exist for predicting tumor recurrence in HCC. Telomerase reverse transcriptase (TERT) promoter mutations (TERTpm) and cellular tumor antigen p53 mutations (TP53m) have been frequently documented in HCC, but their combined clinical significance remains undefined.
View Article and Find Full Text PDFEstablishment of a human ovarian endometrioid carcinoma cell line by constitutive expression of cyclin-dependent kinase 4, cyclin D1 and telomerase reverse transcriptase.
Hum Cell
January 2025
Department of Tumor Pathology, Faculty of Medical Sciences, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji, Fukui, 910-1193, Japan.
Only a few human ovarian endometrioid carcinoma cell lines are currently available, partly due to the difficulty of establishing cell lines from low-grade cancers. Here, using a cell immortalization strategy consisting of i) inactivation of the p16-pRb pathway by constitutive expression of mutant cyclin-dependent kinase 4 (R24C) (CDK4) and cyclin D1, and ii) acquisition of telomerase reverse transcriptase (TERT) activity, we established a human ovarian endometrioid carcinoma cell line from a 46-year-old Japanese woman. That line, designated JFE-21, has proliferated continuously for over 6 months with a doubling time of ~ 55 h.
View Article and Find Full Text PDFComputational identification and experimental validation of novel microRNAs along with their targets through RT-PCR approach.
Plant Signal Behav
December 2025
Laboratory of Biotechnology and Natural Resources Valorization, Faculty of Sciences, Ibn Zohr University, Agadir, Morocco.
Various metabolic and cell signaling processes impact the functions of sugarcane plant cells. MicroRNAs (miRNAs) play critical regulatory roles in enhancing yield and providing protection against various stressors. This study seeks to identify and partially characterize several novel miRNAs in sugarcane using tools, while also offering a preliminary assessment of their functions.
View Article and Find Full Text PDFDetecting IDH and TERTp mutations in diffuse gliomas using H-MRS with attention deep-shallow networks.
Comput Biol Med
January 2025
Institute of Biomedical Engineering, Bogazici University, Istanbul, Turkey; Center for Neuroradiological Applications and Research, Acibadem University, Istanbul, Turkey.
Background: Preoperative and noninvasive detection of isocitrate dehydrogenase (IDH) and telomerase reverse transcriptase gene promoter (TERTp) mutations in glioma is critical for prognosis and treatment planning. This study aims to develop deep learning classifiers to identify IDH and TERTp mutations using proton magnetic resonance spectroscopy (H-MRS) and a one-dimensional convolutional neural network (1D-CNN) architecture.
Methods: This study included H-MRS data from 225 adult patients with hemispheric diffuse glioma (117 IDH mutants and 108 IDH wild-type; 99 TERTp mutants and 100 TERTp wild-type).
Objective: To summarize antiretroviral therapy (ART) use in the setting of end-stage kidney disease (ESKD).
Design: Cross-sectional analysis.
Methods: Descriptive analysis of ART regimens and dose of nucleoside/nucleotide reverse-transcriptase inhibitors (NRTI) in people with HIV and ESKD (dialysis, kidney transplantation, or estimated glomerular filtration rate (eGFR) <15 mL/min/1.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!