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      Single well, single-common primer pair, dual probe, duplex qPCR assay for the quantification of mRNA splicing variants

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          Abstract

          Quantifying the ratio of alternatively spliced mRNA variants of genes with known alternative splicing variants is highly relevant for many applications. Herein, we describe the validation of a quantitative PCR design for the simplified quantification of known mRNA splice variants. The assay uses a single-common primer pair, dual probe design for the determination of splicing variants in a single well configuration. We used murine XBP-1 splicing variants, XBP-1S and XBP-1U, to validate and demonstrate the performance characteristics of this approach. Using synthetic XBP-1S and XBP-1U cDNA as well as cDNA synthesized from mouse beta-cell line MIN6, we established the performance parameters and dynamic range of the assay. Reliable quantification of both variants at varying concentration gradients was shown. No cross detection of XBP-1U by the XBP-1S probe was detected and only marginal XBP-1S cross detection by the XBP-1U probe was detected at high concentration gradients that are unlikely to be relevant. We demonstrated that the assay accurately detected changes of XBP-1 splice variants in mouse liver subjected to pharmacologically induced ER stress without the need for normalization to a reference gene.

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          A new mathematical model for relative quantification in real-time RT-PCR.

          M. Pfaffl (2001)
          Use of the real-time polymerase chain reaction (PCR) to amplify cDNA products reverse transcribed from mRNA is on the way to becoming a routine tool in molecular biology to study low abundance gene expression. Real-time PCR is easy to perform, provides the necessary accuracy and produces reliable as well as rapid quantification results. But accurate quantification of nucleic acids requires a reproducible methodology and an adequate mathematical model for data analysis. This study enters into the particular topics of the relative quantification in real-time RT-PCR of a target gene transcript in comparison to a reference gene transcript. Therefore, a new mathematical model is presented. The relative expression ratio is calculated only from the real-time PCR efficiencies and the crossing point deviation of an unknown sample versus a control. This model needs no calibration curve. Control levels were included in the model to standardise each reaction run with respect to RNA integrity, sample loading and inter-PCR variations. High accuracy and reproducibility (<2.5% variation) were reached in LightCycler PCR using the established mathematical model.
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            Analyzing real-time PCR data by the comparative C(T) method.

            Two different methods of presenting quantitative gene expression exist: absolute and relative quantification. Absolute quantification calculates the copy number of the gene usually by relating the PCR signal to a standard curve. Relative gene expression presents the data of the gene of interest relative to some calibrator or internal control gene. A widely used method to present relative gene expression is the comparative C(T) method also referred to as the 2 (-DeltaDeltaC(T)) method. This protocol provides an overview of the comparative C(T) method for quantitative gene expression studies. Also presented here are various examples to present quantitative gene expression data using this method.
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              Connecting endoplasmic reticulum stress to autophagy by unfolded protein response and calcium.

              Eukaryotic cells respond to the accumulation of unfolded proteins in the endoplasmic reticulum (ER) either by unfolded protein response that leads to an increase in the capacity of the ER to fold its client proteins or by apoptosis when the function of ER cannot be restored. Emerging data now indicate that ER stress is also a potent inducer of macroautophagy, a process whereby eukaryotic cells recycle their macromolecules and organelles. Depending on the context, autophagy counterbalances ER stress-induced ER expansion, enhances cell survival or commits the cell to non-apoptotic death. Here, we discuss the signaling pathways linking ER stress to autophagy and possibilities for their clinical exploitation.
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                Author and article information

                Journal
                Biol Methods Protoc
                Biol Methods Protoc
                biomethods
                Biology Methods & Protocols
                Oxford University Press
                2396-8923
                2021
                09 February 2021
                09 February 2021
                : 6
                : 1
                : bpab002
                Affiliations
                [1 ] Division of Endocrinology, Metabolism and Molecular Medicine, Feinberg School of Medicine, Northwestern University , Chicago, IL 60611, USA
                [2 ] Masters of Biomedical Studies Program, Drexel University, Philadelphia, PA 19104 , USA
                [3 ] Division of Gastroenterology and Hepatology, Department of Medicine, Feinberg School of Medicine, Northwestern University , Chicago, IL 60611, USA
                [4 ] Department of Biomedical Engineering, George Washington University School of Engineering and Applied Sciences , Washington, DC 20052, USA
                Author notes
                [†]

                Janice Wang and Winifred P. Wong contributed equally to this work.

                Correspondence address. Division of Endocrinology, Metabolism and Molecular Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA. E-mail: m-muayed@ 123456northwestern.edu
                Article
                bpab002
                10.1093/biomethods/bpab002
                7903517
                572aaaa6-7909-443c-8c24-a01ec2e6b074
                © The Author(s) 2021. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 17 December 2020
                : 31 January 2021
                : 01 February 2021
                : 05 February 2021
                Page count
                Pages: 7
                Funding
                Funded by: National Institute of Health;
                Funded by: National Institute for Environmental Health Sciences;
                Categories
                Innovations
                AcademicSubjects/SCI00960

                xbp-1,single primer pair,common primer pair,qpcr,duplex qpcr,pcr probe,splice variant quantification

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