Institute of Nano Electronic Engineering

Universiti Malaysia Perlis

  • Facebook
  • Instagram
  • Twitter
  • YouTube
  • About Us
    • Background
    • Mission and Vision
    • Organization
    • Client’s Charter
    • Corporate Video
    • Our Expertise
    • Acknowledgement
    • Brochures
  • Academics
    • Master of Science
    • Doctor of Philosophy
    • Postgraduate Students
    • Alumni
  • Research
    • Research Activities
      • Research Areas
      • Research Focus
      • Research Projects
        • Products
      • Collaborations
      • Publications
        • Scoreboard
    • Research Facilities
  • Contact Us
    • Staff Directory
    • Feedback
  • Gallery
    • Video
    • Audio
  • Download
    • Archive
    • Publications
    • Forms
    • OBE Awareness
    • Reports
  • Quick Links
    • Support Links
    • FAQ
    • Sitemap
    • Faculty
    • Other Departments
    • Events
You are here: Home / Publications / Non-Protein Coding RNA Genes as the Novel Diagnostic Markers for the Discrimination of Salmonella Species Using PCR

Non-Protein Coding RNA Genes as the Novel Diagnostic Markers for the Discrimination of Salmonella Species Using PCR

September 30, 2015 By Editor

Abstract – Salmonellosis, a communicable disease caused by members of the Salmonella species, transmitted to humans through contaminated food or water. It is of paramount importance, to generate accurate detection methods for discriminating the various Salmonella species that cause severe infection in humans, including S. Typhi and S. Paratyphi A. Here, we formulated a strategy of detection and differentiation of salmonellosis by a multiplex polymerase chain reaction assay using S. Typhi non-protein coding RNA (sRNA) genes. With the designed sequences that specifically detect sRNA genes from S. Typhi and S. Paratyphi A, a detection limit of up to 10 pg was achieved. Moreover, in a stool-seeding experiment with S. Typhi and S. Paratyphi A, we have attained a respective detection limit of 15 and 1.5 CFU/mL. The designed strategy using sRNA genes shown here is comparatively sensitive and specific, suitable for clinical diagnosis and disease surveillance, and sRNAs represent an excellent molecular target for infectious disease.

Corresponding Author: Subash C B Gopinath
Corresponding Author’s Email: subash@unimap.edu.my

Full text: PDF

Share this:

  • Click to share on Facebook (Opens in new window) Facebook
  • Click to share on X (Opens in new window) X
  • Click to share on Pinterest (Opens in new window) Pinterest
  • Click to email a link to a friend (Opens in new window) Email
  • More
  • Click to share on Reddit (Opens in new window) Reddit
  • Click to share on LinkedIn (Opens in new window) LinkedIn
  • Click to share on WhatsApp (Opens in new window) WhatsApp
  • Click to print (Opens in new window) Print
  • Click to share on Telegram (Opens in new window) Telegram

Filed Under: Publications Tagged With: genomic DNA, untranslated RNA

NEWS @ INEE

  • Congratulations to the 2024 Excellence & Service Award Recipients
  • NanoRoadshow Biotech Exploration – STI 100 Scientists: 100 Schools: 100 Days MOSTI
  • Visit to the Faculty of Science and Trace Analysis and Biosensor COE, Prince of Songkla University
  • Visit and Collaborative Discussion Between INEE, Walailak University, Thailand, and Maejo University Chiang Mai, Thailand
  • Visit by Malaysian Bioeconomy Development Corporation (Bioeconomy Corporation)

EVENTS & ACTIVITIES

  • INEE Nano Roadshow – Series 4
  • NanoBiosensor Workshop 2024
  • Invitation To Nanobiosensor Workshop 2024
  • NANO ROADSHOW @ PSNCWU
  • STEM With Community at FESTKON UniMAP 2023
Privacy Policy | Security Policy | Disclaimer | Sitemap | FAQ | Feedback | User Guide | Download | Postgraduate

Institute of Nano Electronic Engineering, Universiti Malaysia Perlis
Lot 106, 108 & 110, Blok A, Taman Pertiwi Indah,
Jalan Kangar-Alor Setar, Seriab 01000 Kangar, Perlis, Malaysia
Tel: +604-979 8581 Fax: +604-979 8578 Email: webmaster.inee@unimap.edu.my

Copyright © INEE UniMAP

  • Facebook
  • Instagram
  • Twitter
  • YouTube

For best view, please use latest version of Internet Explorer, Mozilla Firefox and Google Chrome with resolution 1280 x 768 and above.

BioNexus Partners (BNP)

QS 5 Stars

myGov

Logo UniMAP

Designed by Mohd Isa from Portal Kerjaya & Sumber Rujukan Malaysia

  • Bahasa Melayu