Expression stability of commonly used reference genes in canine articular connective tissues

<p>Abstract</p> <p>Background</p> <p>The quantification of gene expression in tissue samples requires the use of reference genes to normalise transcript numbers between different samples. Reference gene stability may vary between different tissues, and between the same tissue in different disease states. We evaluated the stability of 9 reference genes commonly used in human gene expression studies. Real-time reverse transcription PCR and a mathematical algorithm were used to establish which reference genes were most stably expressed in normal and diseased canine articular tissues and two canine cell lines stimulated with lipolysaccaride (LPS).</p> <p>Results</p> <p>The optimal reference genes for comparing gene expression data between normal and diseased infrapatella fat pad were <it>RPL13A </it>and <it>YWHAZ </it>(M = 0.56). The ideal reference genes for comparing normal and osteoarthritic (OA) cartilage were <it>RPL13A </it>and <it>SDHA </it>(M = 0.57). The best reference genes for comparing normal and ruptured canine cranial cruciate ligament were <it>B2M </it>and <it>TBP </it>(M = 0.59). The best reference genes for normalising gene expression data from normal and LPS stimulated cell lines were <it>SDHA </it>and <it>YWHAZ </it>(K6) or <it>SDHA </it>and <it>HMBS </it>(DH82), which had expression stability (M) values of 0.05 (K6) and 0.07 (DH82) respectively. The number of reference genes required to reduce pairwise variation (V) to <0.20 was 4 for cell lines, 5 for cartilage, 7 for cranial cruciate ligament and 8 for fat tissue. Reference gene stability was not related to the level of gene expression.</p> <p>Conclusion</p> <p>The reference genes demonstrating the most stable expression within each different canine articular tissue were identified, but no single reference gene was identified as having stable expression in all different tissue types. This study underlines the necessity to select reference genes on the basis of tissue and disease specific expression profile evaluation and highlights the requirement for the identification of new reference genes with greater expression stability for use in canine articular tissue gene expression studies.</p

Expression stability of commonly used reference genes in canine articular connective tissues

Background: The quantification of gene expression in tissue samples requires the use of reference genes to normalise transcript numbers between different samples. Reference gene stability may vary between different tissues, and between the same tissue in different disease states. We evaluated the stability of 9 reference genes commonly used in human gene expression studies. Realtime reverse transcription PCR and a mathematical algorithm were used to establish which reference genes were most stably expressed in normal and diseased canine articular tissues and two canine cell lines stimulated with lipolysaccaride (LPS). Results: The optimal reference genes for comparing gene expression data between normal and diseased infrapatella fat pad were RPL13A and YWHAZ (M = 0.56). The ideal reference genes for comparing normal and osteoarthritic (OA) cartilage were RPL13A and SDHA (M = 0.57). The best reference genes for comparing normal and ruptured canine cranial cruciate ligament were B2M and TBP (M = 0.59). The best reference genes for normalising gene expression data from normal and LPS stimulated cell lines were SDHA and YWHAZ (K6) or SDHA and HMBS (DH82), which had expression stability (M) values of 0.05 (K6) and 0.07 (DH82) respectively. The number of reference genes required to reduce pairwise variation (V) to <0.20 was 4 for cell lines, 5 for cartilage, 7 for cranial cruciate ligament and 8 for fat tissue. Reference gene stability was not related to the level of gene expression. Conclusion: The reference genes demonstrating the most stable expression within each different canine articular tissue were identified, but no single reference gene was identified as having stable expression in all different tissue types. This study underlines the necessity to select reference genes on the basis of tissue and disease specific expression profile evaluation and highlights the requirement for the identification of new reference genes with greater expression stability for use in canine articular tissue gene expression studies

Identification of new reference genes for the normalisation of canine osteoarthritic joint tissue transcripts from microarray data

<p>Abstract</p> <p>Background</p> <p>Real-time reverse transcriptase quantitative polymerase chain reaction (real-time RT-qPCR) is the most accurate measure of gene expression in biological systems. The comparison of different samples requires the transformation of data through a process called normalisation. Reference or housekeeping genes are candidate genes which are selected on the basis of constitutive expression across samples, and allow the quantification of changes in gene expression. At present, no reference gene has been identified for any organism which is universally optimal for use across different tissue types or disease situations. We used microarray data to identify new reference genes generated from total RNA isolated from normal and osteoarthritic canine articular tissues (bone, ligament, cartilage, synovium and fat). RT-qPCR assays were designed and applied to each different articular tissue. Reference gene expression stability and ranking was compared using three different mathematical algorithms.</p> <p>Results</p> <p>Twelve new potential reference genes were identified from microarray data. One gene (mitochondrial ribosomal protein S7 [<it>MRPS7</it>]) was stably expressed in all five of the articular tissues evaluated. One gene HIRA interacting protein 5 isoform 2 [<it>HIRP5</it>]) was stably expressed in four of the tissues evaluated. A commonly used reference gene glyceraldehyde-3-phosphate dehydrogenase (<it>GAPDH</it>) was not stably expressed in any of the tissues evaluated. Most consistent agreement between rank ordering of reference genes was observed between <it>Bestkeeper©</it> and geNorm, although each method tended to agree on the identity of the most stably expressed genes and the least stably expressed genes for each tissue. New reference genes identified using microarray data normalised in a conventional manner were more stable than those identified by microarray data normalised by using a real-time RT-qPCR methodology.</p> <p>Conclusion</p> <p>Microarray data normalised by a conventional manner can be filtered using a simple stepwise procedure to identify new reference genes, some of which will demonstrate good measures of stability. Mitochondrial ribosomal protein S7 is a new reference gene worthy of investigation in other canine tissues and diseases. Different methods of reference gene stability assessment will generally agree on the most and least stably expressed genes, when co-regulation is not present.</p

ALK1 signalling analysis identifies angiogenesis related genes and reveals disparity between TGF-β and constitutively active receptor induced gene expression

BACKGROUND: TGF-β1 is an important angiogenic factor involved in the different aspects of angiogenesis and vessel maintenance. TGF-β signalling is mediated by the TβRII/ALK5 receptor complex activating the Smad2/Smad3 pathway. In endothelial cells TGF-β utilizes a second type I receptor, ALK1, activating the Smad1/Smad5 pathway. Consequently, a perturbance of ALK1, ALK5 or TβRII activity leads to vascular defects. Mutations in ALK1 cause the vascular disorder hereditary hemorrhagic telangiectasia (HHT). METHODS: The identification of ALK1 and not ALK5 regulated genes in endothelial cells, might help to better understand the development of HHT. Therefore, the human microvascular endothelial cell line HMEC-1 was infected with a recombinant constitutively active ALK1 adenovirus, and gene expression was studied by using gene arrays and quantitative real-time PCR analysis. RESULTS: After 24 hours, 34 genes were identified to be up-regulated by ALK1 signalling. Analysing ALK1 regulated gene expression after 4 hours revealed 13 genes to be up- and 2 to be down-regulated. Several of these genes, including IL-8, ET-1, ID1, HPTPη and TEAD4 are reported to be involved in angiogenesis. Evaluation of ALK1 regulated gene expression in different human endothelial cell types was not in complete agreement. Further on, disparity between constitutively active ALK1 and TGF-β1 induced gene expression in HMEC-1 cells and primary HUVECs was observed. CONCLUSION: Gene array analysis identified 49 genes to be regulated by ALK1 signalling and at least 14 genes are reported to be involved in angiogenesis. There was substantial agreement between the gene array and quantitative real-time PCR data. The angiogenesis related genes might be potential HHT modifier genes. In addition, the results suggest endothelial cell type specific ALK1 and TGF-β signalling

Women’s views on partnership working with midwives during pregnancy and childbirth

This is the Accepted Manuscript version of the following article: Sally Boyle, Hilary Thomas, and Fiona Brooks, ‘Women׳s views on partnership working with midwives during pregnancy and childbirth’, Midwifery, Vol. 32: 21-29, January 2016, which has been published in final form at: https://doi.org/10.1016/j.midw.2015.09.001. This manuscript version is made available under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License CC BY NC-ND 4.0 ( http://creativecommons.org/licenses/by-nc-nd/4.0/ ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.Objective: To explore whether the UK Government agenda for partnership working and choice was realised or desired for women during pregnancy and childbirth. Design: A qualitative study was used to explore women’s experience of partnership working with midwives. Data was generated using a diary interview method throughout pregnancy and birth. Setting: 16 women were recruited from two district general hospitals in the South East of England. Findings: Three themes emerged from the data: organisation of care, relationships and choice. Women described their antenatal care as ‘ticking the box’, with midwives focusing on the biomedical aspects of care but not meeting their psycho-social and emotional needs. Time poverty was a significant factor in this finding. Women rarely described developing a partnership relationship with midwives due to a lack of continuity of care and time in which to formulate such relationships. In contrast women attending birth centres for their antenatal care were able to form relationships with a group of midwives who shared a philosophy of care and had sufficient time in which to meet women’s holistic needs. Most of the women in this study did not feel they were offered the choices as outlined in the national choice agenda (DoH, 2007). Implications for Practice: NHS Trusts should review the models of care available to women to ensure that these are not only safe but support women’s psycho-social and emotional needs as well. Partnership case loading models enable midwives and women to form trusting relationships that empowers women to feel involved in decision making and to exercise choice. Group antenatal and postnatal care models also effectively utilise midwifery time whilst increasing maternal satisfaction and social engagement. Technology should also be used more effectively to facilitate inter-professional communication and to provide a more flexible service to women.Peer reviewe