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      Insufficient antibody validation challenges oestrogen receptor beta research

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          Abstract

          The discovery of oestrogen receptor β (ERβ/ ESR2) was a landmark discovery. Its reported expression and homology with breast cancer pharmacological target ERα ( ESR1) raised hopes for improved endocrine therapies. After 20 years of intense research, this has not materialized. We here perform a rigorous validation of 13 anti-ERβ antibodies, using well-characterized controls and a panel of validation methods. We conclude that only one antibody, the rarely used monoclonal PPZ0506, specifically targets ERβ in immunohistochemistry. Applying this antibody for protein expression profiling in 44 normal and 21 malignant human tissues, we detect ERβ protein in testis, ovary, lymphoid cells, granulosa cell tumours, and a subset of malignant melanoma and thyroid cancers. We do not find evidence of expression in normal or cancerous human breast. This expression pattern aligns well with RNA-seq data, but contradicts a multitude of studies. Our study highlights how inadequately validated antibodies can lead an exciting field astray.

          Abstract

          A large body of work into the role of oestrogen receptor b (ERb) in breast cancer is contradictory, hindering future progress. Here the authors conduct extensive validation of anti-ERb antibodies , and show that normal and cancerous breast tissue do not express ERb, consistent with RNA-seq data.

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          The CRAPome: a Contaminant Repository for Affinity Purification Mass Spectrometry Data

          Affinity purification coupled with mass spectrometry (AP-MS) is now a widely used approach for the identification of protein-protein interactions. However, for any given protein of interest, determining which of the identified polypeptides represent bona fide interactors versus those that are background contaminants (e.g. proteins that interact with the solid-phase support, affinity reagent or epitope tag) is a challenging task. While the standard approach is to identify nonspecific interactions using one or more negative controls, most small-scale AP-MS studies do not capture a complete, accurate background protein set. Fortunately, negative controls are largely bait-independent. Hence, aggregating negative controls from multiple AP-MS studies can increase coverage and improve the characterization of background associated with a given experimental protocol. Here we present the Contaminant Repository for Affinity Purification (the CRAPome) and describe the use of this resource to score protein-protein interactions. The repository (currently available for Homo sapiens and Saccharomyces cerevisiae) and computational tools are freely available online at www.crapome.org.
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            Estrogen receptors: how do they signal and what are their targets.

            During the past decade there has been a substantial advance in our understanding of estrogen signaling both from a clinical as well as a preclinical perspective. Estrogen signaling is a balance between two opposing forces in the form of two distinct receptors (ER alpha and ER beta) and their splice variants. The prospect that these two pathways can be selectively stimulated or inhibited with subtype-selective drugs constitutes new and promising therapeutic opportunities in clinical areas as diverse as hormone replacement, autoimmune diseases, prostate and breast cancer, and depression. Molecular biological, biochemical, and structural studies have generated information which is invaluable for the development of more selective and effective ER ligands. We have also become aware that ERs do not function by themselves but require a number of coregulatory proteins whose cell-specific expression explains some of the distinct cellular actions of estrogen. Estrogen is an important morphogen, and many of its proliferative effects on the epithelial compartment of glands are mediated by growth factors secreted from the stromal compartment. Thus understanding the cross-talk between growth factor and estrogen signaling is essential for understanding both normal and malignant growth. In this review we focus on several of the interesting recent discoveries concerning estrogen receptors, on estrogen as a morphogen, and on the molecular mechanisms of anti-estrogen signaling.
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              Cloning of a novel receptor expressed in rat prostate and ovary.

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                Author and article information

                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group
                2041-1723
                15 June 2017
                2017
                : 8
                : 15840
                Affiliations
                [1 ]Department of Immunology, Genetics and Pathology, Uppsala University, Science for Life Laboratory , 751 85 Uppsala, Sweden
                [2 ]Department of Chemistry, Uppsala University, Science for Life Laboratory , 75123 Uppsala, Sweden
                [3 ]Division of Proteomics and Nanotechnology, School of Biotechnology, Science for Life Laboratory, KTH Royal Institute of Technology , 171 21 Solna, Sweden
                [4 ]Division of Pharmaceutical Industries, National Research Centre , Dokki 12622, Egypt
                [5 ]Department of Biology and Biochemistry, University of Houston , Houston, Texas 77204, USA
                [6 ]Department of Pharmaceutical Biosciences, Uppsala University , 75124 Uppsala, Sweden
                [7 ]Department of Biosciences and Nutrition, Karolinska Institutet , 141 83 Stockholm, Sweden
                Author notes
                [*]

                Present address: Department of Epidemiology and Biostatistics and Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA

                Author information
                http://orcid.org/0000-0002-5492-7085
                http://orcid.org/0000-0002-1537-0624
                http://orcid.org/0000-0003-2431-5288
                http://orcid.org/0000-0002-0602-2062
                Article
                ncomms15840
                10.1038/ncomms15840
                5501969
                28643774
                98997309-331c-4617-b9b3-8cc81e22b6e8
                Copyright © 2017, The Author(s)

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                History
                : 23 September 2016
                : 02 May 2017
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