High resolution estimates of relative gene abundance with quantitative ratiometric regression PCR (qRR-PCR)-Reference-Cited by-同舟云学术

High resolution estimates of relative gene abundance with quantitative ratiometric regression PCR (qRR-PCR)

Published:2021 Issue:21 Volume:146 Page:6463-6469
ISSN:0003-2654
Container-title:The Analyst
language:en
Short-container-title:Analyst

Author:

Trick Alexander Y.¹^ORCID,Chen Fan-En¹,Schares Justin A.²,Freml Blake E.²,Lor Pa²,Yun Yue²,Wang Tza-Huei¹³⁴

Affiliation:

1. Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA

2. Corteva Agriscience, Johnston, IA 50131, USA

3. Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA

4. Institute for NanoBiotechnology, Johns Hopkins University, Baltimore, MD 21218, USA

Abstract

By leveraging characteristic fluorescence ratios of co-amplified gene targets, quantitative ratiometric regression PCR (qRR-PCR) enables high resolution estimates of relative genetic abundance.

Funder

National Institutes of Health

Publisher

Royal Society of Chemistry (RSC)

Subject

Electrochemistry,Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2021/AN/D1AN01397A

Reference20 articles.

1. Origins and functional impact of copy number variation in the human genome

2. Copy number variation: New insights in genome diversity

3. The copy number variation landscape of congenital anomalies of the kidney and urinary tract

4. Copy number variation and disease resistance in plants

5. Polymerase Chain Reaction Technology as Analytical Tool in Agricultural Biotechnology

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