1
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Yu M, Feng B, Bean JC, Zhao Q, Yang Y, Liu H, Li Y, Eappen BP, Liu H, Tu L, Conde KM, Wang M, Chen X, Yin N, Threat DA, Xu N, Han J, Gao P, Zhu Y, Hadsell DL, He Y, Xu P, He Y, Wang C. Suppression of hypothalamic oestrogenic signal sustains hyperprolactinemia and metabolic adaptation in lactating mice. Nat Metab 2025; 7:759-777. [PMID: 40211044 DOI: 10.1038/s42255-025-01268-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2024] [Accepted: 03/07/2025] [Indexed: 04/12/2025]
Abstract
17β-oestradiol (E2) inhibits overeating and promotes brown adipose tissue (BAT) thermogenesis, whereas prolactin (PRL) does the opposite. During lactation, the simultaneous decline in E2 and surge in PRL contribute to maternal metabolic adaptations, including hyperphagia and suppressed BAT thermogenesis. However, the underlying neuroendocrine mechanisms remain unclear. Here, we find that oestrogen receptor alpha (ERα)-expressing neurons in the medial basal hypothalamus (MBH), specifically the arcuate nucleus of the hypothalamus and the ventrolateral subdivision of the ventromedial hypothalamus (vlVMH), are suppressed during lactation. Deletion of ERα from MBH neurons in virgin female mice induces metabolic phenotypes characteristic of lactation, including hyperprolactinemia, hyperphagia and suppressed BAT thermogenesis. By contrast, activation of ERαvlVMH neurons in lactating mice attenuates these phenotypes. Overall, our study reveals an inhibitory effect of E2-ERαvlVMH signalling on PRL production, which is suppressed during lactation to sustain hyperprolactinemia and metabolic adaptations.
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Affiliation(s)
- Meng Yu
- Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Bing Feng
- Pennington Biomedical Research Center, Brain Glycemic and Metabolism Control Department, Louisiana State University, Baton Rouge, LA, USA
| | - Jonathan C Bean
- Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Qianru Zhao
- Pennington Biomedical Research Center, Brain Glycemic and Metabolism Control Department, Louisiana State University, Baton Rouge, LA, USA
| | - Yongjie Yang
- Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Hailan Liu
- Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Yongxiang Li
- Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Benjamin P Eappen
- Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Hesong Liu
- Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Longlong Tu
- Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Kristine M Conde
- Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Mengjie Wang
- Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Xi Chen
- Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Na Yin
- Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Darah Ave Threat
- Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Nathan Xu
- Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Junying Han
- Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Peiyu Gao
- Pennington Biomedical Research Center, Brain Glycemic and Metabolism Control Department, Louisiana State University, Baton Rouge, LA, USA
| | - Yi Zhu
- Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Darryl L Hadsell
- Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Yang He
- Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Pingwen Xu
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, The University of Illinois at Chicago, Chicago, IL, USA
| | - Yanlin He
- Pennington Biomedical Research Center, Brain Glycemic and Metabolism Control Department, Louisiana State University, Baton Rouge, LA, USA.
| | - Chunmei Wang
- Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA.
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2
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Satta JP, Lindström R, Myllymäki SM, Lan Q, Trela E, Prunskaite-Hyyryläinen R, Kaczyńska B, Voutilainen M, Kuure S, Vainio SJ, Mikkola ML. Exploring the principles of embryonic mammary gland branching morphogenesis. Development 2024; 151:dev202179. [PMID: 39092607 DOI: 10.1242/dev.202179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 06/21/2024] [Indexed: 08/04/2024]
Abstract
Branching morphogenesis is a characteristic feature of many essential organs, such as the lung and kidney, and most glands, and is the net result of two tissue behaviors: branch point initiation and elongation. Each branched organ has a distinct architecture customized to its physiological function, but how patterning occurs in these ramified tubular structures is a fundamental problem of development. Here, we use quantitative 3D morphometrics, time-lapse imaging, manipulation of ex vivo cultured mouse embryonic organs and mice deficient in the planar cell polarity component Vangl2 to address this question in the developing mammary gland. Our results show that the embryonic epithelial trees are highly complex in topology owing to the flexible use of two distinct modes of branch point initiation: lateral branching and tip bifurcation. This non-stereotypy was contrasted by the remarkably constant average branch frequency, indicating a ductal growth invariant, yet stochastic, propensity to branch. The probability of branching was malleable and could be tuned by manipulating the Fgf10 and Tgfβ1 pathways. Finally, our in vivo data and ex vivo time-lapse imaging suggest the involvement of tissue rearrangements in mammary branch elongation.
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Affiliation(s)
- Jyoti P Satta
- Institute of Biotechnology, Helsinki Institute of Life Science, University of Helsinki, Helsinki 00014, Finland
| | - Riitta Lindström
- Institute of Biotechnology, Helsinki Institute of Life Science, University of Helsinki, Helsinki 00014, Finland
| | - Satu-Marja Myllymäki
- Institute of Biotechnology, Helsinki Institute of Life Science, University of Helsinki, Helsinki 00014, Finland
| | - Qiang Lan
- Institute of Biotechnology, Helsinki Institute of Life Science, University of Helsinki, Helsinki 00014, Finland
| | - Ewelina Trela
- Institute of Biotechnology, Helsinki Institute of Life Science, University of Helsinki, Helsinki 00014, Finland
| | | | - Beata Kaczyńska
- Institute of Biotechnology, Helsinki Institute of Life Science, University of Helsinki, Helsinki 00014, Finland
| | - Maria Voutilainen
- Institute of Biotechnology, Helsinki Institute of Life Science, University of Helsinki, Helsinki 00014, Finland
| | - Satu Kuure
- GM-unit, Laboratory Animal Center, Helsinki Institute of Life Science, University of Helsinki, Helsinki 00014, Finland
- Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, Helsinki 00014, Finland
| | - Seppo J Vainio
- Faculty of Biochemistry and Molecular Medicine, University of Oulu, Oulu 90014, Finland
- Kvantum Institute, Infotech Oulu, University of Oulu, Oulu 90014, Finland
| | - Marja L Mikkola
- Institute of Biotechnology, Helsinki Institute of Life Science, University of Helsinki, Helsinki 00014, Finland
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3
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Ortiz JR, Lewis SM, Ciccone M, Chatterjee D, Henry S, Siepel A, Dos Santos CO. Single-Cell Transcription Mapping of Murine and Human Mammary Organoids Responses to Female Hormones. J Mammary Gland Biol Neoplasia 2024; 29:3. [PMID: 38289401 PMCID: PMC10827859 DOI: 10.1007/s10911-023-09553-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 12/18/2023] [Indexed: 02/01/2024] Open
Abstract
During female adolescence and pregnancy, rising levels of hormones result in a cyclic source of signals that control the development of mammary tissue. While such alterations are well understood from a whole-gland perspective, the alterations that such hormones bring to organoid cultures derived from mammary glands have yet to be fully mapped. This is of special importance given that organoids are considered suitable systems to understand cross species breast development. Here we utilized single-cell transcriptional profiling to delineate responses of murine and human normal breast organoid systems to female hormones across evolutionary distinct species. Collectively, our study represents a molecular atlas of epithelial dynamics in response to estrogen and pregnancy hormones.
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Affiliation(s)
| | - Steven M Lewis
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, 11724, USA
- Graduate Program in Genetics, Stony Brook University, Stony Brook, NY, 11794, USA
| | - Michael Ciccone
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, 11724, USA
| | | | - Samantha Henry
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, 11724, USA
- Graduate Program in Genetics, Stony Brook University, Stony Brook, NY, 11794, USA
| | - Adam Siepel
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, 11724, USA
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4
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Ortiz JR, Lewis SM, Ciccone MF, Chatterjee D, Henry S, Siepel A, Dos Santos CO. Single-cell transcription mapping of murine and human mammary organoids responses to female hormones. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.28.559971. [PMID: 37808747 PMCID: PMC10557705 DOI: 10.1101/2023.09.28.559971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
During female adolescence and pregnancy, rising levels of hormones result in a cyclic source of signals that control the development of mammary tissue. While such alterations are well understood from a whole-gland perspective, the alterations that such hormones bring to organoid cultures derived from mammary glands have yet to be fully mapped. This is of special importance given that organoids are considered suitable systems to understand cross species breast development. Here we utilized single-cell transcriptional profiling to delineate responses of murine and human normal breast organoid systems to female hormones across evolutionary distinct species. Collectively, our study represents a molecular atlas of epithelial dynamics in response to estrogen and pregnancy hormones.
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5
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Geiger A, Hovey R. Development of the mammary glands and its regulation: how not all species are equal. Anim Front 2023; 13:44-54. [PMID: 37324203 PMCID: PMC10266756 DOI: 10.1093/af/vfad029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/17/2023] Open
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6
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Kolokotroni A, Gkikopoulou E, Rinotas V, Douni E. Phosphotungstic acid-enhanced microcomputed tomography for quantitative visualization of mouse mammary gland morphology. J Med Imaging (Bellingham) 2023; 10:S22402. [PMID: 36825256 PMCID: PMC9941684 DOI: 10.1117/1.jmi.10.s2.s22402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 12/20/2022] [Indexed: 02/23/2023] Open
Abstract
Purpose Even though current techniques provide two-dimensional (2D) imaging of the mouse mammary gland, they fail to achieve high-resolution three-dimensional (3D) reconstruction and quantification. The objective of this study is to establish and evaluate quantitative visualization of the mouse mammary epithelium through microcomputed tomography (microCT) using phosphotungstic acid (PTA) as a contrast agent. Approach Ex vivo microCT scan images of the mouse mammary glands were obtained following staining by PTA, whereas for quantification we adapted volumetric parameters that are used for assessing trabecular bone morphometry and can be structurally applicable in the mammary ductal system. The proposed method was validated in distinct developmental stages and upon short-term treatment with synthetic progesterone, using the carmine alum staining for comparison. Results We demonstrate a simple PTA staining procedure that allows high contrast 3D imaging of mammary glands and quantitation of mammary duct structures using microCT. We validated the proposed method in distinct developmental stages, such as at puberty, adult mice, pregnancy as well as upon progesterone treatment. Compared with carmine alum staining, the microCT analysis provided higher resolution 2D and 3D images of the mammary gland morphology, with lower background that enabled the detection of subtle changes. Conclusions This work is the first study that employs PTA-enhanced microCT for 3D imaging and volumetric analysis of mouse mammary glands. Our results establish PTA-enhanced microCT as a useful tool for comparative studies of the mouse mammary gland morphology that can apply in mutant mice and for the preclinical evaluation of pharmaceuticals in breast cancer models.
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Affiliation(s)
- Anthi Kolokotroni
- Agricultural University of Athens, Department of Biotechnology, Laboratory of Genetics, Athens, Greece
- Biomedical Sciences Research Center “Alexander Fleming,” Institute for Bioinnovation, Vari, Greece
| | - Evi Gkikopoulou
- Agricultural University of Athens, Department of Biotechnology, Laboratory of Genetics, Athens, Greece
- Biomedical Sciences Research Center “Alexander Fleming,” Institute for Bioinnovation, Vari, Greece
| | - Vagelis Rinotas
- Biomedical Sciences Research Center “Alexander Fleming,” Institute for Bioinnovation, Vari, Greece
| | - Eleni Douni
- Agricultural University of Athens, Department of Biotechnology, Laboratory of Genetics, Athens, Greece
- Biomedical Sciences Research Center “Alexander Fleming,” Institute for Bioinnovation, Vari, Greece
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7
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Abstract
The kidney plays an integral role in filtering the blood-removing metabolic by-products from the body and regulating blood pressure. This requires the establishment of large numbers of efficient and specialized blood filtering units (nephrons) that incorporate a system for vascular exchange and nutrient reabsorption as well as a collecting duct system to remove waste (urine) from the body. Kidney development is a dynamic process which generates these structures through a delicately balanced program of self-renewal and commitment of nephron progenitor cells that inhabit a constantly evolving cellular niche at the tips of a branching ureteric "tree." The former cells build the nephrons and the latter the collecting duct system. Maintaining these processes across fetal development is critical for establishing the normal "endowment" of nephrons in the kidney and perturbations to this process are associated both with mutations in integral genes and with alterations to the fetal environment.
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Affiliation(s)
- Ian M Smyth
- Department of Anatomy and Developmental Biology, Department of Biochemistry and Molecular Biology, Development and Stem Cells Program, Monash Biomedicine Discovery Institute, Monash University, Melbourne, VIC, Australia.
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8
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In silico mapping of quantitative trait loci (QTL) regulating the milk ionome in mice identifies a milk iron locus on chromosome 1. Mamm Genome 2018; 29:632-655. [DOI: 10.1007/s00335-018-9762-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2018] [Indexed: 01/06/2023]
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9
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Jerry DJ, Shull JD, Hadsell DL, Rijnkels M, Dunphy KA, Schneider SS, Vandenberg LN, Majhi PD, Byrne C, Trentham-Dietz A. Genetic variation in sensitivity to estrogens and breast cancer risk. Mamm Genome 2018; 29:24-37. [PMID: 29487996 DOI: 10.1007/s00335-018-9741-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2017] [Accepted: 02/15/2018] [Indexed: 12/16/2022]
Abstract
Breast cancer risk is intimately intertwined with exposure to estrogens. While more than 160 breast cancer risk loci have been identified in humans, genetic interactions with estrogen exposure remain to be established. Strains of rodents exhibit striking differences in their responses to endogenous ovarian estrogens (primarily 17β-estradiol). Similar genetic variation has been observed for synthetic estrogen agonists (ethinyl estradiol) and environmental chemicals that mimic the actions of estrogens (xenoestrogens). This review of literature highlights the extent of variation in responses to estrogens among strains of rodents and compiles the genetic loci underlying pathogenic effects of excessive estrogen signaling. Genetic linkage studies have identified a total of the 35 quantitative trait loci (QTL) affecting responses to 17β-estradiol or diethylstilbestrol in five different tissues. However, the QTL appear to act in a tissue-specific manner with 9 QTL affecting the incidence or latency of mammary tumors induced by 17β-estradiol or diethylstilbestrol. Mammary gland development during puberty is also exquisitely sensitive to the actions of endogenous estrogens. Analysis of mammary ductal growth and branching in 43 strains of inbred mice identified 20 QTL. Regions in the human genome orthologous to the mammary development QTL harbor loci associated with breast cancer risk or mammographic density. The data demonstrate extensive genetic variation in regulation of estrogen signaling in rodent mammary tissues that alters susceptibility to tumors. Genetic variants in these pathways may identify a subset of women who are especially sensitive to either endogenous estrogens or environmental xenoestrogens and render them at increased risk of breast cancer.
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Affiliation(s)
- D Joseph Jerry
- Department of Veterinary & Animal Sciences, 661 North Pleasant Street, Integrated Life Sciences Building, Amherst, MA, 01003, USA. .,Pioneer Valley Life Sciences Institute, Baystate Medical Center, 3601 Main Street, Springfield, MA, 01199, USA.
| | - James D Shull
- Department of Oncology, McArdle Laboratory for Cancer Research, University of Wisconsin-Madison, Madison, WI, 53705, USA.,UW Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Darryl L Hadsell
- Department of Pediatrics, USDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX, 77030, USA.,Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Monique Rijnkels
- Department of Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX, 77843, USA
| | - Karen A Dunphy
- Department of Veterinary & Animal Sciences, 661 North Pleasant Street, Integrated Life Sciences Building, Amherst, MA, 01003, USA
| | - Sallie S Schneider
- Pioneer Valley Life Sciences Institute, Baystate Medical Center, 3601 Main Street, Springfield, MA, 01199, USA
| | - Laura N Vandenberg
- Department of Environmental Health Sciences, School of Public Health and Health Sciences, University of Massachusetts, Amherst, 01003, USA
| | - Prabin Dhangada Majhi
- Department of Veterinary & Animal Sciences, 661 North Pleasant Street, Integrated Life Sciences Building, Amherst, MA, 01003, USA
| | - Celia Byrne
- Department of Preventive Medicine, F. Edward Hébert School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, 20814, USA
| | - Amy Trentham-Dietz
- Department of Population Health Sciences and the Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
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10
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Berryhill GE, Trott JF, Derpinghaus AL, Hovey RC. TRIENNIAL LACTATION SYMPOSIUM/BOLFA: Dietary regulation of allometric ductal growth in the mammary glands. J Anim Sci 2017; 95:5664-5674. [PMID: 29293798 PMCID: PMC6292269 DOI: 10.2527/jas2017.1901] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2017] [Accepted: 09/18/2017] [Indexed: 12/25/2022] Open
Abstract
Although mammary gland growth and development in females is a lifelong process, it builds on isometric and allometric phases of mammary growth to establish a complex ductal network before and during puberty. Only then can other phases of branching and alveologenesis, differentiation, lactation, and involution proceed. Although the ductal network of various species differs in its histomorphology, all glands undergo a common phase of allometric growth when the mammary ducts penetrate into the supporting stromal microenvironment. Perhaps not surprisingly, different aspects of diet and nutrition can influence this allometric growth, either directly or indirectly. In this review, we outline some of the fundamental aspects of how allometric ductal growth in the mammary glands of various species is influenced by diet and nutrition and identify opportunities and questions for future investigation.
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Affiliation(s)
- G. E. Berryhill
- Department of Animal Science, University of California, Davis, One Shields Avenue, Davis 95616
| | - J. F. Trott
- Department of Animal Science, University of California, Davis, One Shields Avenue, Davis 95616
| | - A. L. Derpinghaus
- Department of Animal Science, University of California, Davis, One Shields Avenue, Davis 95616
| | - R. C. Hovey
- Department of Animal Science, University of California, Davis, One Shields Avenue, Davis 95616
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11
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Panasiewicz G, Bieniek-Kobuszewska M, Lipka A, Majewska M, Jedryczko R, Szafranska B. Novel effects of identified SNPs within the porcine Pregnancy-Associated Glycoprotein gene family (pPAGs) on the major reproductive traits in Hirschmann hybrid-line sows. Res Vet Sci 2017; 114:123-130. [PMID: 28371694 DOI: 10.1016/j.rvsc.2017.03.015] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2016] [Revised: 03/18/2017] [Accepted: 03/27/2017] [Indexed: 02/07/2023]
Abstract
This is the first study describing identification of SNPs within the multiple and polymorphic Pregnancy-Associated Glycoprotein gene family (PAGs) in the genome of the domestic pig (pPAGs). We identified pPAG-like (pPAG-L) genotypes in primiparous and multiparous farmed hybrid-line JSR Hirschmann (Hrn) sows (N=159), in which various novel associations with their phenotypes for the major reproductive traits have been discovered. Genomic DNA templates were isolated from the blood and different pPAG-L primers were used to amplify various regions by PCR. Electrophoretically-separated amplicons were selected, purified and sequenced. All identified SNPs were verified for possible pPAG2-L genotype associations with the major reproductive traits. In total, 196 SNPs were identified within the entire structure of the pPAG2-Ls, encompassing 9 exons and 8 (A-H) introns, resembling all aspartic proteinases. It was discovered that among all SNPs, one diplotype localized in exon 6 (657C>T/749G>C; pPAG2 ORF cDNA numbering; L34361) caused amino acid substitutions (Asp220→Asn and Ser250→Thr) in the polypeptide precursors and was associated with an increase in the number of live-born piglets (P≤0.05) in Hrn sows. In turn, co-localized SNP (504g>a; KF537535 numbering) in the intron F of the pPAG2-Ls, but only in the homozygotic genotype (gg), was associated with an increased number of live-born (P≤0.01) and weaned (P≤0.05) piglets in the Hrn sows. These results qualify the pPAG2-Ls as candidate genes of the main QTLs. The novel pPAG SNP profiles provide the basis for a diagnostic genotyping test required for early pre-selection of female/male piglets, presumably mainly useful in various breeding herds.
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Affiliation(s)
- Grzegorz Panasiewicz
- Department of Animal Physiology, Faculty of Biology and Biotechnology, University of Warmia and Mazury in Olsztyn, ul. Oczapowskiego 1A, 10-719 Olsztyn-Kortowo, Poland.
| | - Martyna Bieniek-Kobuszewska
- Department of Animal Physiology, Faculty of Biology and Biotechnology, University of Warmia and Mazury in Olsztyn, ul. Oczapowskiego 1A, 10-719 Olsztyn-Kortowo, Poland; Department of Dermatology, Sexually Transmitted Diseases and Clinical Immunology, Faculty of Medical Sciences, University of Warmia and Mazury in Olsztyn, ul. Wojska Polskiego 30, 10-229 Olsztyn, Poland
| | - Aleksandra Lipka
- Department of Animal Physiology, Faculty of Biology and Biotechnology, University of Warmia and Mazury in Olsztyn, ul. Oczapowskiego 1A, 10-719 Olsztyn-Kortowo, Poland
| | - Marta Majewska
- Department of Human Physiology, Faculty of Medical Sciences, University of Warmia and Mazury in Olsztyn, ul. Warszawska 30, 10-082 Olsztyn, Poland
| | | | - Bozena Szafranska
- Department of Animal Physiology, Faculty of Biology and Biotechnology, University of Warmia and Mazury in Olsztyn, ul. Oczapowskiego 1A, 10-719 Olsztyn-Kortowo, Poland
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12
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Pham K, Dong J, Jiang X, Qu Y, Yu H, Yang Y, Olea W, Marini JC, Chan L, Wang J, Wehrens XHT, Cui X, Li Y, Hadsell DL, Cheng N. Loss of glutaredoxin 3 impedes mammary lobuloalveolar development during pregnancy and lactation. Am J Physiol Endocrinol Metab 2017; 312:E136-E149. [PMID: 27894063 PMCID: PMC5374299 DOI: 10.1152/ajpendo.00150.2016] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2016] [Revised: 10/26/2016] [Accepted: 11/14/2016] [Indexed: 12/20/2022]
Abstract
Mammalian glutaredoxin 3 (Grx3) has been shown to be important for regulating cellular redox homeostasis in the cell. Our previous studies indicate that Grx3 is significantly overexpressed in various human cancers including breast cancer and demonstrate that Grx3 controls cancer cell growth and invasion by regulating reactive oxygen species (ROS) and NF-κB signaling pathways. However, it remains to be determined whether Grx3 is required for normal mammary gland development and how it contributes to epithelial cell proliferation and differentiation in vivo. In the present study, we examined Grx3 expression in different cell types within the developing mouse mammary gland (MG) and found enhanced expression of Grx3 at pregnancy and lactation stages. To assess the physiological role of Grx3 in MG, we generated the mutant mice in which Grx3 was deleted specifically in mammary epithelial cells (MECs). Although the reduction of Grx3 expression had only minimal effects on mammary ductal development in virgin mice, it did reduce alveolar density during pregnancy and lactation. The impairment of lobuloalveolar development was associated with high levels of ROS accumulation and reduced expression of milk protein genes. In addition, proliferative gene expression was significantly suppressed with proliferation defects occurring in knockout MECs during alveolar development compared with wild-type controls. Therefore, our findings suggest that Grx3 is a key regulator of ROS in vivo and is involved in pregnancy-dependent mammary gland development and secretory activation through modulating cellular ROS.
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Affiliation(s)
- Khanh Pham
- USDA/ARS Children Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, Texas
| | - Jie Dong
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, Texas
| | - Xiqian Jiang
- Department of Pharmacology, Baylor College of Medicine, Houston, Texas
| | - Ying Qu
- Department of Surgery, Samuel Oschin Comprehensive Cancer Institute, Cedars Sinai Medical Center, Los Angeles, California
| | - Han Yu
- USDA/ARS Children Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, Texas
| | - Yisheng Yang
- Department of Medicine, MetroHealth Medical Center, Case Western Reserve University, Cleveland, Ohio
| | - Walter Olea
- USDA/ARS Children Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, Texas
| | - Juan C Marini
- Section of Critical Care Medicine, Department of Pediatrics, Baylor College of Medicine, Houston, Texas
| | - Lawrence Chan
- Department of Medicine, Baylor College of Medicine, Houston, Texas
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas
| | - Jin Wang
- Department of Pharmacology, Baylor College of Medicine, Houston, Texas
- Center for Drug Discovery, Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
- Cardiovascular Research Institute, Baylor College of Medicine, Houston, Texas; and
| | - Xander H T Wehrens
- USDA/ARS Children Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, Texas
- Department of Medicine, Baylor College of Medicine, Houston, Texas
- Cardiovascular Research Institute, Baylor College of Medicine, Houston, Texas; and
- Department of Molecular Physiology & Biophysics, Baylor College of Medicine, Houston, Texas
| | - Xiaojiang Cui
- Department of Surgery, Samuel Oschin Comprehensive Cancer Institute, Cedars Sinai Medical Center, Los Angeles, California
| | - Yi Li
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, Texas
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas
| | - Darryl L Hadsell
- USDA/ARS Children Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, Texas
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas
| | - Ninghui Cheng
- USDA/ARS Children Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, Texas;
- Cardiovascular Research Institute, Baylor College of Medicine, Houston, Texas; and
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13
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Abstract
The genetic factors underlying female infertility in humans are only partially understood. Here, we performed a genome-wide association study of female infertility in 25 inbred mouse strains by using publicly available SNP data. As a result, a total of four SNPs were identified after chromosome-wise multiple test correction. The first SNP rs29972765 is located in a gene desert on chromosome 18, about 72 kb upstream of Skor2 (SKI family transcriptional corepressor 2). The second SNP rs30415957 resides in the intron of Plce1 (phospholipase C epsilon 1). The remaining two SNPs (rs30768258 and rs31216810) are close to each other on chromosome 19, in the vicinity of Sorbs1 (sorbin and SH3 domain containing 1). Using quantitative RT-PCR, we found that Sorbs1 is highly expressed in the mouse uterus during embryo implantation. Knockdown of Sorbs1 by siRNA attenuates the induction of differentiation marker gene Prl8a2 (decidual prolactin-related protein) in an in vitro model of decidualization using mouse endometrial stromal cells, suggesting that Sorbs1 may be a potential candidate gene for female infertility in mice. Our results may represent an opportunity to further understand female infertility in humans.
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A Geometrically-Constrained Mathematical Model of Mammary Gland Ductal Elongation Reveals Novel Cellular Dynamics within the Terminal End Bud. PLoS Comput Biol 2016; 12:e1004839. [PMID: 27115287 PMCID: PMC4845990 DOI: 10.1371/journal.pcbi.1004839] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2015] [Accepted: 03/01/2016] [Indexed: 11/29/2022] Open
Abstract
Mathematics is often used to model biological systems. In mammary gland development, mathematical modeling has been limited to acinar and branching morphogenesis and breast cancer, without reference to normal duct formation. We present a model of ductal elongation that exploits the geometrically-constrained shape of the terminal end bud (TEB), the growing tip of the duct, and incorporates morphometrics, region-specific proliferation and apoptosis rates. Iterative model refinement and behavior analysis, compared with biological data, indicated that the traditional metric of nipple to the ductal front distance, or percent fat pad filled to evaluate ductal elongation rate can be misleading, as it disregards branching events that can reduce its magnitude. Further, model driven investigations of the fates of specific TEB cell types confirmed migration of cap cells into the body cell layer, but showed their subsequent preferential elimination by apoptosis, thus minimizing their contribution to the luminal lineage and the mature duct. Our paper describes a mathematical model of mammary ductal elongation during pubertal development. We make several conclusions that will be of interest to scientists studying mammary gland biology, epithelial tube formation, and branching morphogenesis. First, our model indicates that a common measurement of developmental outgrowth (‘percent fat pad filled’) underestimates the total growth and leads to mischaracterization of mutant phenotypes. Second, we show that cap cells, a population enriched with putative mammary stem cells, do not contribute to the luminal lineage as previously hypothesized. Further, we find that a high percentage of proliferation in these cells is not used productively to actually form the mammary duct. We believe our model has future application to other branching organs and also for the modeling of disease states in the breast.
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Blacher S, Gérard C, Gallez A, Foidart JM, Noël A, Péqueux C. Quantitative Assessment of Mouse Mammary Gland Morphology Using Automated Digital Image Processing and TEB Detection. Endocrinology 2016; 157:1709-16. [PMID: 26910307 DOI: 10.1210/en.2015-1601] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
The assessment of rodent mammary gland morphology is largely used to study the molecular mechanisms driving breast development and to analyze the impact of various endocrine disruptors with putative pathological implications. In this work, we propose a methodology relying on fully automated digital image analysis methods including image processing and quantification of the whole ductal tree and of the terminal end buds as well. It allows to accurately and objectively measure both growth parameters and fine morphological glandular structures. Mammary gland elongation was characterized by 2 parameters: the length and the epithelial area of the ductal tree. Ductal tree fine structures were characterized by: 1) branch end-point density, 2) branching density, and 3) branch length distribution. The proposed methodology was compared with quantification methods classically used in the literature. This procedure can be transposed to several software and thus largely used by scientists studying rodent mammary gland morphology.
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Affiliation(s)
- Silvia Blacher
- Laboratory of Tumor and Development Biology, Groupe Interdisciplinaire de Génoprotéomique Appliquée (GIGA-cancer), University of Liège, B-4000 Liège, Belgium
| | - Céline Gérard
- Laboratory of Tumor and Development Biology, Groupe Interdisciplinaire de Génoprotéomique Appliquée (GIGA-cancer), University of Liège, B-4000 Liège, Belgium
| | - Anne Gallez
- Laboratory of Tumor and Development Biology, Groupe Interdisciplinaire de Génoprotéomique Appliquée (GIGA-cancer), University of Liège, B-4000 Liège, Belgium
| | - Jean-Michel Foidart
- Laboratory of Tumor and Development Biology, Groupe Interdisciplinaire de Génoprotéomique Appliquée (GIGA-cancer), University of Liège, B-4000 Liège, Belgium
| | - Agnès Noël
- Laboratory of Tumor and Development Biology, Groupe Interdisciplinaire de Génoprotéomique Appliquée (GIGA-cancer), University of Liège, B-4000 Liège, Belgium
| | - Christel Péqueux
- Laboratory of Tumor and Development Biology, Groupe Interdisciplinaire de Génoprotéomique Appliquée (GIGA-cancer), University of Liège, B-4000 Liège, Belgium
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