Literature DB >> 12654308

Molecular assay to generate expression profile of eight estrogen receptor alpha isoform mRNA copy numbers in picogram amounts of total RNA from breast cancer tissues.

Indira Poola1.   

Abstract

The presence of estrogen receptor alpha (ERalpha) is the basis for treating breast cancer patients with targeted molecular therapies that block estrogen stimulation of breast cancer cell division. Currently, the ERalpha presence is determined by microscopically scoring the slides subjected to immunohistochemistry. This method is not quantitative, cannot distinguish between all the known ERalpha isoforms, and requires large amounts of tumor tissue. We describe here a real-time PCR-based molecular approach that can be applied to determine mRNA copies of eight ERalpha isoforms in picogram amounts of total RNA from clinical samples. Each isoform mRNA is quantified using a specific primer pair and a 5'FAM- and 3'TAMARA-labeled probe in comparison with a standard curve constructed with known copy numbers of its respective reverse-transcribed cRNA. Seven alternatively spliced isoforms were quantified using splice-targeted primers. The cRNAs for eight isoforms were generated by in vitro transcription of their respective coding sequences. The sensitivity of detection with reverse-transcribed cRNAs is as low as 100 copies. The devised assays can detect ERalpha cDNAs reverse transcribed from as low as 50-100 pg of total RNA from breast cancer tissues. The applicability of the devised assays for profiling eight ERalpha isoform mRNAs is demonstrated using 6 breast cancer cell lines and 10 breast cancer tissues. It is expected that these assays could be applied to profile ERalpha isoforms in any estrogen-responsive tissues. In addition, these methods could highly facilitate the design of tissue-specific selective estrogen receptor modulators to treat breast cancers and other estrogen-related abnormalities.

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Year:  2003        PMID: 12654308     DOI: 10.1016/s0003-2697(02)00614-0

Source DB:  PubMed          Journal:  Anal Biochem        ISSN: 0003-2697            Impact factor:   3.365


  7 in total

1.  Molecular constitution of breast but not other reproductive tissues is rich in growth promoting molecules: a possible link to highest incidence of tumor growths.

Authors:  Indira Poola; Jessy Abraham; Josephine J Marshalleck; Qingqi Yue; Sidney W Fu; Lokesh Viswanath; Nikhil Sharma; Russel Hill; Robert L Dewitty; George Bonney
Journal:  FEBS Lett       Date:  2009-08-19       Impact factor: 4.124

2.  The Cell Surface Estrogen Receptor, G Protein- Coupled Receptor 30 (GPR30), is Markedly Down Regulated During Breast Tumorigenesis.

Authors:  Indira Poola; Jessy Abraham; Aiyi Liu; Josephine J Marshalleck; Robert L Dewitty
Journal:  Breast Cancer (Auckl)       Date:  2008-04-17

3.  Estrogen receptors beta4 and beta5 are full length functionally distinct ERbeta isoforms: cloning from human ovary and functional characterization.

Authors:  Indira Poola; Jessy Abraham; Kate Baldwin; Alecia Saunders; Rakesh Bhatnagar
Journal:  Endocrine       Date:  2005-08       Impact factor: 3.925

4.  Genomic DNA functions as a universal external standard in quantitative real-time PCR.

Authors:  James J Yun; Lawrence E Heisler; Irene I L Hwang; Olivia Wilkins; Suzanne K Lau; Martin Hyrcza; Bamini Jayabalasingham; Jing Jin; JoAnne McLaurin; Ming-Sound Tsao; Sandy D Der
Journal:  Nucleic Acids Res       Date:  2006-07-13       Impact factor: 16.971

5.  Molecular assays to profile 10 estrogen receptor beta isoform mRNA copy numbers in ovary, breast, uterus, and bone tissues.

Authors:  Indira Poola
Journal:  Endocrine       Date:  2003-11       Impact factor: 3.925

6.  Estrogen receptor alpha (ER alpha) mRNA copy numbers in immunohistochemically ER alpha-positive-, and negative breast cancer tissues.

Authors:  Indira Poola; Qingqi Yue
Journal:  BMC Cancer       Date:  2007-03-28       Impact factor: 4.430

Review 7.  Cat Mammary Tumors: Genetic Models for the Human Counterpart.

Authors:  Filomena Adega; Ana Borges; Raquel Chaves
Journal:  Vet Sci       Date:  2016-08-16
  7 in total

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