Volume 141, Issue 3, Pages (March 2012)

Slides:



Advertisements
Similar presentations
Volume 150, Issue 1, Pages (July 2016)
Advertisements

Marcelo Cypel, MD, MSc, Jonathan C
Tumor Cell Repopulation between Cycles of Chemotherapy is Inhibited by Regulatory T- Cell Depletion in a Murine Mesothelioma Model  Licun Wu, MD, Zhihong.
Hyperbaric Oxygenation in Cardiac and Pulmonary Disease
Volume 77, Issue 4, Pages (April 1980)
Stephen Lory, PhD, Jeffrey K. Ichikawa, PhD  CHEST 
Volume 8, Issue 4, Pages (April 2017)
Volume 142, Issue 3, Pages (September 2012)
Breath Analysis in Pulmonary Arterial Hypertension
Comparative characteristics of mesenchymal stem cells from human bone marrow, adipose tissue, and umbilical cord blood  Wolfgang Wagner, Frederik Wein,
Iron, Inflammation, and Early Death in Adults With Sickle Cell DiseaseNovelty and Significance by Eduard J. van Beers, Yanqin Yang, Nalini Raghavachari,
Volume 143, Issue 2, Pages (February 2013)
M. Fu, G. Huang, Z. Zhang, J. Liu, Z. Zhang, Z. Huang, B. Yu, F. Meng 
Pathway analysis of primary central nervous system lymphoma
Therapeutic distant organ effects of regional hypothermia during mesenteric ischemia- reperfusion injury  Rachel J. Santora, MD, Mihaela L. Lie, MD, Dmitry.
Volume 68, Issue 6, Pages (December 2005)
Characterization of microRNA transcriptome in tumor, adjacent, and normal tissues of lung squamous cell carcinoma  Jun Wang, MD, PhD, Zhi Li, MD, PhD,
Activated glucocorticoid and eicosanoid pathways in endometriosis
Potential role of circulating microRNAs as a biomarker for unexplained recurrent spontaneous abortion  Weibing Qin, M.D., Ph.D., Yunge Tang, M.D., Ning.
Altered microRNA expression in stenoses of native arteriovenous fistulas in hemodialysis patients  Lei Lv, MD, Weibin Huang, MD, Jiwei Zhang, MD, Yaxue.
Gene expression profiling of multiple leiomyomata uteri and matched normal tissue from a single patient  Irina K. Dimitrova, M.D., Jennifer K. Richer,
Dupilumab improves the molecular signature in skin of patients with moderate-to-severe atopic dermatitis  Jennifer D. Hamilton, PhD, Mayte Suárez-Fariñas,
Gene expression profiling of human peri-implantation endometria between natural and stimulated cycles  Yunao Liu, M.Sc., Kai-Fai Lee, Ph.D., Ernest H.Y.
Volume 143, Issue 2, Pages (November 2016)
Volume 68, Issue 6, Pages (December 2005)
Identification and Validation of Long Noncoding RNA Biomarkers in Human Non–Small- Cell Lung Carcinomas  Hui Yu, MD, Qinghua Xu, PhD, Fang Liu, PhD, Xun.
Agnieszka Malcher, M. S. , Natalia Rozwadowska, Ph. D
Comparison of gene expression profiles in granulosa and cumulus cells after ovulation induction with either human chorionic gonadotropin or a gonadotropin-releasing.
Basel Ramlawi, MD, Hasan Otu, PhD, James L
Learning More from Microarrays: Insights from Modules and Networks
Gene expression profiling from endomyocardial biopsy tissue allows distinction between subentities of dilated cardiomyopathy  Volker Ruppert, MD, Thomas.
Differential expression of elastin assembly genes in patients with Stanford Type A aortic dissection using microarray analysis  Bernice L.Y. Cheuk, PhD,
Regine Gaetje, M. D. , Uwe Holtrich, Ph. D. , Thomas Karn, Ph. D
A gene expression study of normal and damaged cartilage in anteromedial gonarthrosis, a phenotype of osteoarthritis  S. Snelling, R. Rout, R. Davidson,
Molecular Classification of Renal Tumors by Gene Expression Profiling
Idiopathic Pulmonary Arterial Hypertension in Asians
Aberrant gene expression profile in a mouse model of endometriosis mirrors that observed in women  Katherine E. Pelch, B.S., Amy L. Schroder, B.S., Paul.
Lung Transplantation in Gaucher Disease
Myometrial cells undergo fibrotic transformation under the influence of transforming growth factor β-3  Doina S. Joseph, M.S., Minnie Malik, Ph.D., Sahadat.
Transcriptional Profiling after Lipid Raft Disruption in Keratinocytes Identifies Critical Mediators of Atopic Dermatitis Pathways  Conny Mathay, Michael.
Inhibiting MDM2-p53 Interaction Suppresses Tumor Growth in Patient-Derived Non– Small Cell Lung Cancer Xenograft Models  Josephine Hai, PhD, Shingo Sakashita,
Volume 146, Issue 5, Pages (November 2014)
Differential cardiac gene expression during cardiopulmonary bypass: Ischemia- independent upregulation of proinflammatory genes  Mihai V. Podgoreanu, MD,
Wei Xu, Shengxian Jia, Ping Xie, Aimei Zhong, Robert D
Gene Array Expression Profiling in Acne Lesions Reveals Marked Upregulation of Genes Involved in Inflammation and Matrix Remodeling  Nishit R. Trivedi,
Volume 65, Issue 2, Pages (February 2004)
Volume 8, Issue 4, Pages (April 2017)
Unusual Diffuse Pulmonary Lymphatic Proliferation in a Young Boy
Volume 23, Issue 8, Pages (August 2015)
Volume 65, Issue 3, Pages (March 2004)
Volume 69, Issue 6, Pages (March 2006)
Regression of flow-induced pulmonary arterial vasculopathy after flow correction in piglets  Olaf Mercier, MD, Edouard Sage, MD, Marc de Perrot, MD, Ly.
Gene expression profiles of cumulus cells obtained from women treated with recombinant human luteinizing hormone + recombinant human follicle-stimulating.
Fatal Hemoptysis in Ehlers-Danlos Syndrome
Gene Expression Profiles of Cutaneous B Cell Lymphoma
R.H. Brophy, B. Zhang, L. Cai, R.W. Wright, L.J. Sandell, M.F. Rai 
Hemodialysis Modulates Gene Expression Profile in Skeletal Muscle
Volume 92, Issue 1, Pages (July 1987)
MicroRNAs Dysregulation in Human Malignant Pleural Mesothelioma
Lung Transplantation in Gaucher Disease
Dupilumab improves the molecular signature in skin of patients with moderate-to-severe atopic dermatitis  Jennifer D. Hamilton, PhD, Mayte Suárez-Fariñas,
Bedside Calibration Of Pulmonary Artery Catheters
AZA treatment induces a distinct gene-expression pattern in stromal cells. AZA treatment induces a distinct gene-expression pattern in stromal cells. (A-C)
Temporal genomics of vein bypass grafting through oligonucleotide microarray analysis  Jeffrey A Kalish, MD, David J Willis, MD, Cheng Li, PhD, Jeffrey.
David Bédard Méthot, MD, Évelyne Leblanc, MD, Yves Lacasse, MD  CHEST 
Volume 133, Issue 4, Pages (April 2008)
Human myometrium and leiomyomas express gonadotropin-releasing hormone 2 and gonadotropin-releasing hormone 2 receptor  Jason D. Parker, D.O., Minnie.
Blastocyst gene expression correlates with implantation potential
A, unsupervised hierarchical clustering of the expression of probe sets differentially expressed in the oral mucosa of smokers versus never smokers. A,
Marcelo Cypel, MD, MSc, Jonathan C
Presentation transcript:

Volume 141, Issue 3, Pages 661-673 (March 2012) Gene Expression Profiling in the Lungs of Patients With Pulmonary Hypertension Associated With Pulmonary Fibrosis  Marco Mura, MD, PhD, Masaki Anraku, MD, Zhihong Yun, BSc, Karen McRae, MD, Mingyao Liu, MD, Thomas K. Waddell, MD, PhD, Lianne G. Singer, MD, John T. Granton, MD, Shaf Keshavjee, MD, Marc de Perrot, MD  CHEST  Volume 141, Issue 3, Pages 661-673 (March 2012) DOI: 10.1378/chest.11-0449 Copyright © 2012 The American College of Chest Physicians Terms and Conditions

Figure 1 Design of the study. Patients in the development set were divided based on their mean pulmonary arterial pressures. The criteria for SAM were a q value < 5% and a fold change ≥ 1.5. A 222-gene signature was found, and the differentially expressed genes were entered into the pathways/networks discovery analysis and the gene set enrichment analysis. This characterized the two different gene signatures found as “proproliferative” in the severe PH group and “proinflammatory” in the NoPH group. Next, patients in the intermediate PH group and in the validation set were clustered based on the gene signatures found, and the outcomes of the newly selected groups were analyzed. IPAH = idiopathic pulmonary arterial hypertension; PH = pulmonary hypertension; RT-PCR = real-time polymerase chain reaction. SAM = significance analysis of microarray CHEST 2012 141, 661-673DOI: (10.1378/chest.11-0449) Copyright © 2012 The American College of Chest Physicians Terms and Conditions

Figure 2 Representative histology slides from a patient with severe pulmonary hypertension and pulmonary fibrosis. A, Pulmonary artery branch in an area of dense fibrosis, showing medial thickening and significant intimal proliferation (hematoxylin and eosin stain, original magnification × 10). B, Pulmonary artery branch in a relatively fibrosis-spared area, showing similar changes (hematoxylin and eosin stain; original magnification × 10). CHEST 2012 141, 661-673DOI: (10.1378/chest.11-0449) Copyright © 2012 The American College of Chest Physicians Terms and Conditions

Figure 3 Ingenuity network analysis, networks with highest scores. Networks were scored based on the number of network eligible molecules they contained. Network eligible molecules with relatively increased expression in the PH group are shown in red, whereas molecules with relatively increased expression in the NoPH group are shown in green. The intensity of the color is proportional to the fold change. Fold change and q value are indicated under each network eligible molecule. Noncolored nodes represent genes added by Ingenuity pathway analysis based on its network algorithm but not upregulated in the actual microarray data. A, Respiratory disease, antigen presentation, cell-mediated immune response (Network 1, score 20). B, Cellular movement, hematologic system development and function, immune cell trafficking (Network 2, score 15). C, Antigen presentation, cell-mediated immune response, humoral immune response(Network 3, score 11). D, Cell death, cancer, cell cycle (Network 4, score 10). See Figure 1 legend for expansion of abbreviations. CHEST 2012 141, 661-673DOI: (10.1378/chest.11-0449) Copyright © 2012 The American College of Chest Physicians Terms and Conditions

Figure 3 Ingenuity network analysis, networks with highest scores. Networks were scored based on the number of network eligible molecules they contained. Network eligible molecules with relatively increased expression in the PH group are shown in red, whereas molecules with relatively increased expression in the NoPH group are shown in green. The intensity of the color is proportional to the fold change. Fold change and q value are indicated under each network eligible molecule. Noncolored nodes represent genes added by Ingenuity pathway analysis based on its network algorithm but not upregulated in the actual microarray data. A, Respiratory disease, antigen presentation, cell-mediated immune response (Network 1, score 20). B, Cellular movement, hematologic system development and function, immune cell trafficking (Network 2, score 15). C, Antigen presentation, cell-mediated immune response, humoral immune response(Network 3, score 11). D, Cell death, cancer, cell cycle (Network 4, score 10). See Figure 1 legend for expansion of abbreviations. CHEST 2012 141, 661-673DOI: (10.1378/chest.11-0449) Copyright © 2012 The American College of Chest Physicians Terms and Conditions

Figure 3 Ingenuity network analysis, networks with highest scores. Networks were scored based on the number of network eligible molecules they contained. Network eligible molecules with relatively increased expression in the PH group are shown in red, whereas molecules with relatively increased expression in the NoPH group are shown in green. The intensity of the color is proportional to the fold change. Fold change and q value are indicated under each network eligible molecule. Noncolored nodes represent genes added by Ingenuity pathway analysis based on its network algorithm but not upregulated in the actual microarray data. A, Respiratory disease, antigen presentation, cell-mediated immune response (Network 1, score 20). B, Cellular movement, hematologic system development and function, immune cell trafficking (Network 2, score 15). C, Antigen presentation, cell-mediated immune response, humoral immune response(Network 3, score 11). D, Cell death, cancer, cell cycle (Network 4, score 10). See Figure 1 legend for expansion of abbreviations. CHEST 2012 141, 661-673DOI: (10.1378/chest.11-0449) Copyright © 2012 The American College of Chest Physicians Terms and Conditions

Figure 3 Ingenuity network analysis, networks with highest scores. Networks were scored based on the number of network eligible molecules they contained. Network eligible molecules with relatively increased expression in the PH group are shown in red, whereas molecules with relatively increased expression in the NoPH group are shown in green. The intensity of the color is proportional to the fold change. Fold change and q value are indicated under each network eligible molecule. Noncolored nodes represent genes added by Ingenuity pathway analysis based on its network algorithm but not upregulated in the actual microarray data. A, Respiratory disease, antigen presentation, cell-mediated immune response (Network 1, score 20). B, Cellular movement, hematologic system development and function, immune cell trafficking (Network 2, score 15). C, Antigen presentation, cell-mediated immune response, humoral immune response(Network 3, score 11). D, Cell death, cancer, cell cycle (Network 4, score 10). See Figure 1 legend for expansion of abbreviations. CHEST 2012 141, 661-673DOI: (10.1378/chest.11-0449) Copyright © 2012 The American College of Chest Physicians Terms and Conditions

Figure 4 Hierarchic clustering. A, Hierarchic clustering based on 222 differentially expressed genes (PH vs NoPH groups) in the severe PH (n = 17), NoPH (n = 22) and, below, the idiopathic PH (n = 7) groups of patients. Each row corresponds to an individual sample, and each column corresponds to an individual gene. Each square on the matrix represents the expression level of an individual gene in each sample, with red and green indicating gene expression levels above or below, respectively, compared with each other. The patients clustering in the subgroup with relatively increased expression of genes seen in the PH group are identified as PH phenotype, whereas the patients clustering in the subgroup with relatively increased expression of genes seen in the NoPH group are identified as NoPH phenotype. B, Hierarchic clustering based on 222 differentially expressed genes (PH vs NoPH groups) in the intermediate PH group of patients (n = 45). C, Hierarchic clustering based on 222 differentially expressed genes (PH vs NoPH groups) in the development set (n = 84) and in the validation set of patients (n = 32). See Figure 1 legend for expansion of abbreviations. CHEST 2012 141, 661-673DOI: (10.1378/chest.11-0449) Copyright © 2012 The American College of Chest Physicians Terms and Conditions

Figure 5 Quantitative RT-PCR confirmation of selected genes. Relative gene expression levels of six selected genes by quantitative RT-PCR comparing patients in the severe PH and NoPH groups. For each gene, the ratio with the expression the housekeeping gene RPLP0 is presented. Data are presented as mean ± SD. A, SPP1. B, TP63. C, MMP1. D, EDNRB. E, PTX3. F, S100A8. EDNRB = endothelin receptor type B; MMP1 = metalloproteinase 1; PTX3 = long pentraxin 3; RPLP0 = ribosomal protein large P0; S100A8 = S100 calcium-binding protein A8; SPP1 = osteopontin. See Figure 1 legend for expansion of other abbreviations. CHEST 2012 141, 661-673DOI: (10.1378/chest.11-0449) Copyright © 2012 The American College of Chest Physicians Terms and Conditions