Literature DB >> 26820124

Comparison of quantitative real-time polymerase chain reaction with NanoString® methodology using adipose and liver tissues from rats fed seaweed.

Kerry L Bentley-Hewitt1, Duncan I Hedderley2, John Monro2, Sheridan Martell2, Hannah Smith2, Suman Mishra2.   

Abstract

Experimental methods are constantly being improved by new technology. Recently a new technology, NanoString®, has been introduced to the market for the analysis of gene expression. Our experiments used adipose and liver samples collected from a rat feeding trial to explore gene expression changes resulting from a diet of 7.5% seaweed. Both quantitative real-time polymerase chain reaction (qPCR) and NanoString methods were employed to look at expression of genes related to fat and glucose metabolism and this paper compares results from both methods. We conclude that NanoString offers a valuable alternative to qPCR and our data suggest that results are more accurate because of the reduced sample handling and direct quantification of gene copy number without the need for enzymatic amplification. However, we have highlighted a potential challenge for both methods, which needs to be addressed when designing primers or probes. We suggest a literature search for known splice variants of a particular gene to be completed so that primers or probes can be designed that do not span exons which may be affected by alternative gene sequences.
Copyright © 2016 Elsevier B.V. All rights reserved.

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Year:  2016        PMID: 26820124     DOI: 10.1016/j.nbt.2016.01.002

Source DB:  PubMed          Journal:  N Biotechnol        ISSN: 1871-6784            Impact factor:   5.079


  6 in total

1.  Multi-gene technical assessment of qPCR and NanoString n-Counter analysis platforms in cynomolgus monkey cardiac allograft recipients.

Authors:  Emily A S Bergbower; Richard N Pierson; Agnes M Azimzadeh
Journal:  Cell Immunol       Date:  2019-11-08       Impact factor: 4.868

2.  Fetal-sex dependent genomic responses in the circulating lymphocytes of arsenic-exposed pregnant women in New Hampshire.

Authors:  Paige A Bommarito; Elizabeth Martin; Lisa Smeester; Thomas Palys; Emily R Baker; Margaret R Karagas; Rebecca C Fry
Journal:  Reprod Toxicol       Date:  2017-08-06       Impact factor: 3.143

3.  Differential expression profiling of onco and tumor-suppressor genes from major-signaling pathways in Wilms' tumor.

Authors:  Dinesh Kumar Sahu; Neetu Singh; Mumani Das; Jiledar Rawat; Devendra Kumar Gupta
Journal:  Pediatr Surg Int       Date:  2022-09-15       Impact factor: 2.003

4.  Spatial regulation of bone morphogenetic proteins (BMPs) in postnatal articular and growth plate cartilage.

Authors:  Presley Garrison; Shanna Yue; Jeffrey Hanson; Jeffrey Baron; Julian C Lui
Journal:  PLoS One       Date:  2017-05-03       Impact factor: 3.240

5.  A multi-step transcriptional cascade underlies vascular regeneration in vivo.

Authors:  Aditya S Shirali; Milagros C Romay; Austin I McDonald; Trent Su; Michelle E Steel; M Luisa Iruela-Arispe
Journal:  Sci Rep       Date:  2018-04-03       Impact factor: 4.379

6.  Identification of Candidate Biomarkers in Malignant Ascites from Patients with Hepatocellular Carcinoma by iTRAQ-Based Quantitative Proteomic Analysis.

Authors:  Jinyan Zhang; Rong Liang; Jiazhang Wei; Jiaxiang Ye; Qian He; Jiazhou Ye; Yongqiang Li; Zhihui Liu; Yan Lin
Journal:  Biomed Res Int       Date:  2018-09-23       Impact factor: 3.411

  6 in total

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