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Research Article Breast Cancer Research Vol 6 No 2 Clarkson et al. Research article Open Access Gene expression profiling of mammary gland development reveals putative roles for death receptors and immune mediators in post-lactational regression Richard WE Clarkson1, Matthew T Wayland2, Jennifer Lee2, Tom Freeman2 and Christine J Watson1 1Department of Pathology, University of Cambridge, Cambridge, UK 2MRC-HGMP Resource Centre, Hinxton, UK Correspondence: Richard WE Clarkson (e-mail: [email protected]) Received: 22 Sep 2003 Revisions requested: 12 Nov 2003 Revisions received: 15 Nov 2003 Accepted: 21 Nov 2003 Published: 18 Dec 2003 Breast Cancer Res 2004, 6:R92-R109 (DOI 10.1186/bcr754) © 2004 Clarkson et al., licensee BioMed Central Ltd (Print ISSN 1465-5411; Online ISSN 1465-542X). This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL. See related Research article: http://breast-cancer-research.com/content/6/2/R75 and related Commentary: http://breast-cancer-research.com/content/6/2/89 Abstract Introduction In order to gain a better understanding of the transducer and activator of signalling-3) signalling. Before molecular processes that underlie apoptosis and tissue involution, expected increases in cell proliferation, biosynthesis regression in mammary gland, we undertook a large-scale and metabolism-related genes were observed. During analysis of transcriptional changes during the mouse mammary involution, the first 24 hours after weaning was characterized pregnancy cycle, with emphasis on the transition from lactation by a transient increase in expression of components of the to involution. death receptor pathways of apoptosis, inflammatory cytokines and acute phase response genes. After 24 hours, regulators of Method Affymetrix microarrays, representing 8618 genes, intrinsic apoptosis were induced in conjunction with markers of were used to compare mammary tissue from 12 time points phagocyte activity, matrix proteases, suppressors of (one virgin, three gestation, three lactation and five involution neutrophils and soluble components of specific and innate stages). Six animals were used for each time point. Common immunity. patterns of gene expression across all time points were identified and related to biological function. Conclusion We provide a resource of mouse mammary gene expression data for download or online analysis. Here we Results The majority of significantly induced genes in highlight the sequential induction of distinct apoptosis pathways involution were also differentially regulated at earlier stages in in involution and the stimulation of immunomodulatory signals, the pregnancy cycle. This included a marked increase in which probably suppress the potentially damaging effects of a inflammatory mediators during involution and at parturition, cellular inflammatory response while maintaining an appropriate which correlated with leukaemia inhibitory factor–Stat3 (signal antimicrobial and phagocytic environment. Keywords: apoptosis, immunity, involution, mammary, microarray Introduction cularization and subsequent organized remodelling. These Mammary gland development during the pregnancy cycle events are highly reproducible and strictly controlled at the is characterized by successive phases of cell growth, dif- transcriptional level by circulating hormones and locally ferentiation, high metabolic activity and apoptosis. At the derived factors [1]. Thus, many transcription factors have ultrastructural level this includes dramatic changes in been shown either to directly affect this developmental tissue architecture, involving ductal epithelial branching program or to exhibit altered activity at specific stages in and morphogenesis, invasion of tissue compartments, vas- the pregnancy cycle [1]. CAM = cell adhesion molecule; C/ebp = CAAT-enhancer binding protein; IGF = insulin-like growth factor; IL = interleukin; LIF = leukaemia R92 inhibitory factor; LPS = lipopolysaccharide; NF-κB = nuclear factor-κB; Stat = signal transducer and activator of transcription. Available online http://breast-cancer-research.com/content/6/2/R92 Our laboratory has focused on the role of transcription study conducted in Balb/c mice and described in the factors in postlactational regression of the gland after accompanying paper in this issue [19] confirms proinflam- weaning. Involution can be divided into at least two matory gene expression in involution. Together, these data phases [2–4], broadly comprising the following: an initial provide a useful online resource for studying the activity of reversible phase whereby the gland maintains its gross specific genes in mammary involution. morphology but undergoes a substantial increase in the rate of epithelial cell apoptosis [5]; and a secondary irre- Method versible phase, which involves the destruction of base- Mouse husbandry ment membrane by matrix metalloproteinases, phagocytic Six-week-old C57/Bl/6 mice were obtained from Harlan clearance of milk, and apoptotic bodies and alveolar col- Laboratories (Bicester, UK). At 8 weeks females were lapse [6]. Immune cells are present at all stages of either mated or culled for virgin mammary glands. Postpar- mammary development, including involution [7], but the tum, a minimum of six pups per suckling female was precise role of the immune system during postlactational ensured by cross-fostering where appropriate. Females regression has yet to be fully established. Many genes used in involution time points were force weaned at have been shown to be differentially regulated during invo- 10 days of lactation. Lactating and involuting mammary lution [5,8,9]. However, there has been no comprehensive glands were monitored daily for signs of localized inflam- analysis of gene expression in mammary involution. mation or mastitis. Two out of 90 animals were excluded from the study for this reason. The study was approved by Microarray analysis has had a major impact on our under- the local ethics committee and complies with the Helsinki standing of the transcriptional basis of complex biological Declaration. systems. Normal tissue development and homeostasis has been studied in a variety of mouse tissues, including retina Harvesting mammary gland RNA [10], liver [11], pancreas [12], uterus [13] and mammary A total of 12 stages of adult mouse mammary gland devel- gland [14]. opment were selected for this study: 8-week-old virgin; 5 days, 10 days and 15 days of gestation (in which day 1 The few microarray studies of normal mouse mammary was the first day postcoitum); 0 days (first day post- gland described in the literature have either focused on partum), 5 days and 10 days of lactation; and 12, 24, 48, early stages in the developmental cycle [14], or have used 72 and 96 hours after forced weaning. All mammary mammary data as a tool for illustrating methods of data glands were harvested between 11:00 and 13:00 to limit analysis [15,16]. circadian effects. A total of six animals were used per time point (three per hybridization). In each case a single In the present study we applied a microarray approach to abdominal gland was removed following excision of lymph study the transcriptional expression (mRNA levels) of nodes and immediately frozen in liquid nitrogen. RNA was 8618 mouse genes in mammary gland during the preg- extracted from frozen tissue using Trizol reagent (Invitro- nancy cycle. We focused on five time points in involution gen, Paisley, UK) followed by additional column purifica- but we also included earlier time points in the pregnancy tion (Rneasy; Qiagen, Crawley, UK). Briefly, three samples cycle to establish the specificity of these involution-related of mammary tissue from the same time point were ground genetic changes. We provide the raw microarray data files under liquid nitrogen, and 20 mg of each was pooled into and processed genelists for online analysis or download 1.5 ml Trizol reagent. Resuspended RNA samples were (see the Mammary Apoptosis and Development Group then passed through purification columns according to the Home Page: www.path.cam.ac.uk/~madgroup). Here we manufacturer’s instructions and RNA integrity was moni- highlight specific aspects of the microarray data that are tored with Lab-on-a-chip (Agilent, West Lothian, UK) pertinent to involution by identifying common patterns of before use in microarray analysis. gene expression and relating them to specific biological functions. Thus, we demonstrate the sequential activation Microarray hybridization and data analysis of death receptor genes followed by components of the RNA 5 µg was labelled according to manufacturers proto- mitochondrial (intrinsic) pathway after weaning, suggest- cols (Affymetrix, High Wycombe, UK) and hybridized to ing that different apoptosis mechanisms are employed at Affymetrix MGU74ver2a chips representing 12 488 tran- different phases of involution. We also highlight a promi- scripts or 8618 genes. Computation of expression values nent role for immune related genes in involution, equating was performed using the perfect match/mismatch model this with phagocytic clearance of apoptotic cells and the implemented in dChip [20]. maintenance of an antimicrobial environment during milk stasis. We provide evidence that the proapoptotic, acute Twenty-four Affymetrix hybridisations (two for each phase transcription factor Stat3 (signal transducer and mammary time point) were selected following removal of activator
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