Literature DB >> 16498083

Human lung project: evaluating variance of gene expression in the human lung.

Michael P Gruber1, Christopher D Coldren, Malcolm D Woolum, Gregory P Cosgrove, Chan Zeng, Anna E Barón, Mark D Moore, Carlyne D Cool, G Scott Worthen, Kevin K Brown, Mark W Geraci.   

Abstract

Nondiseased tissue is an important reference for microarray studies of pulmonary disease. We obtained 23 single lungs from multiorgan donors at time of procurement. Donors varied in age, sex, smoking history, and ethnicity. Lungs were dissected into upper and lower lobe peripheral sections for RNA extraction. Microarray analysis was performed using Affymetrix Hu-133 Plus 2.0 arrays. We observed that the relative variability of gene expression increased rapidly from technical (lowest), to regional, to population (highest). In addition, age and sex have measurable effects on gene expression. Gene expression variability is heterogeneously distributed among biologic categories. We conclude that gene expression variability is greater between individuals than within individuals and that population variability is the most important factor in the study design of microarray experiments of the human lung. Classes of genes with high population variability are biologically important and provide a novel perspective into lung physiology and pathobiology. Our study represents the first comprehensive analysis of nondiseased lung tissue. The generation of this robust dataset has important implications for the design and implementation of future comparative expression analysis with pulmonary disease states.

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Year:  2006        PMID: 16498083      PMCID: PMC2658699          DOI: 10.1165/rcmb.2004-0261OC

Source DB:  PubMed          Journal:  Am J Respir Cell Mol Biol        ISSN: 1044-1549            Impact factor:   6.914


  52 in total

1.  Minimum information about a microarray experiment (MIAME)-toward standards for microarray data.

Authors:  A Brazma; P Hingamp; J Quackenbush; G Sherlock; P Spellman; C Stoeckert; J Aach; W Ansorge; C A Ball; H C Causton; T Gaasterland; P Glenisson; F C Holstege; I F Kim; V Markowitz; J C Matese; H Parkinson; A Robinson; U Sarkans; S Schulze-Kremer; J Stewart; R Taylor; J Vilo; M Vingron
Journal:  Nat Genet       Date:  2001-12       Impact factor: 38.330

2.  Effects of ischemia on gene expression.

Authors:  J Huang; R Qi; J Quackenbush; E Dauway; E Lazaridis; T Yeatman
Journal:  J Surg Res       Date:  2001-08       Impact factor: 2.192

3.  Characterization of variability in large-scale gene expression data: implications for study design.

Authors:  Jaroslav P Novak; Robert Sladek; Thomas J Hudson
Journal:  Genomics       Date:  2002-01       Impact factor: 5.736

4.  Overexpression of matrix metalloproteinase-7 in pulmonary fibrosis.

Authors:  Gregory P Cosgrove; Marvin I Schwarz; Mark W Geraci; Kevin K Brown; G Scott Worthen
Journal:  Chest       Date:  2002-03       Impact factor: 9.410

5.  Pharmacogenomics of the cystic fibrosis transmembrane conductance regulator (CFTR) and the cystic fibrosis drug CPX using genome microarray analysis.

Authors:  M Srivastava; O Eidelman; H B Pollard
Journal:  Mol Med       Date:  1999-11       Impact factor: 6.354

Review 6.  Practical approaches to analyzing results of microarray experiments.

Authors:  Naftali Kaminski; Nir Friedman
Journal:  Am J Respir Cell Mol Biol       Date:  2002-08       Impact factor: 6.914

7.  Gene expression profiles distinguish idiopathic pulmonary fibrosis from hypersensitivity pneumonitis.

Authors:  Moises Selman; Annie Pardo; Lourdes Barrera; Andrea Estrada; Susan R Watson; Keith Wilson; Natasha Aziz; Naftali Kaminski; Albert Zlotnik
Journal:  Am J Respir Crit Care Med       Date:  2005-09-15       Impact factor: 21.405

8.  Gene expression patterns in the lungs of patients with primary pulmonary hypertension: a gene microarray analysis.

Authors:  M W Geraci; M Moore; T Gesell; M E Yeager; L Alger; H Golpon; B Gao; J E Loyd; R M Tuder; N F Voelkel
Journal:  Circ Res       Date:  2001-03-30       Impact factor: 17.367

9.  Microarray analysis of gene expression in the aging human retina.

Authors:  Shigeo Yoshida; Beverly M Yashar; Suja Hiriyanna; Anand Swaroop
Journal:  Invest Ophthalmol Vis Sci       Date:  2002-08       Impact factor: 4.799

10.  Gene-expression profiles predict survival of patients with lung adenocarcinoma.

Authors:  David G Beer; Sharon L R Kardia; Chiang-Ching Huang; Thomas J Giordano; Albert M Levin; David E Misek; Lin Lin; Guoan Chen; Tarek G Gharib; Dafydd G Thomas; Michelle L Lizyness; Rork Kuick; Satoru Hayasaka; Jeremy M G Taylor; Mark D Iannettoni; Mark B Orringer; Samir Hanash
Journal:  Nat Med       Date:  2002-07-15       Impact factor: 53.440

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  22 in total

1.  Microarray analysis of sexually dimorphic gene expression in human minor salivary glands.

Authors:  D Michael; S Soi; J Cabera-Perez; M Weller; S Alexander; I Alevizos; Gg Illei; Ja Chiorini
Journal:  Oral Dis       Date:  2011-08-08       Impact factor: 3.511

2.  Regulated gene expression in cultured type II cells of adult human lung.

Authors:  Philip L Ballard; Jae W Lee; Xiaohui Fang; Cheryl Chapin; Lennell Allen; Mark R Segal; Horst Fischer; Beate Illek; Linda W Gonzales; Venkatadri Kolla; Michael A Matthay
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2010-04-09       Impact factor: 5.464

3.  Association of smoking with tumor size at diagnosis in non-small cell lung cancer.

Authors:  Xing Chen; Ivan P Gorlov; Kelly W Merriman; Shih-Feng Weng; Millennia Foy; Gwendolyn Keener; Christopher I Amos; Margaret R Spitz; Marek Kimmel; Olga Y Gorlova
Journal:  Lung Cancer       Date:  2011-06-08       Impact factor: 5.705

Review 4.  Gene Expression: the Key to Understanding HIV-1 Infection?

Authors:  Melinda Judge; Erica Parker; Denise Naniche; Peter Le Souëf
Journal:  Microbiol Mol Biol Rev       Date:  2020-05-13       Impact factor: 11.056

Review 5.  The Intersection of Aging Biology and the Pathobiology of Lung Diseases: A Joint NHLBI/NIA Workshop.

Authors:  G R Scott Budinger; Ronald A Kohanski; Weiniu Gan; Michael S Kobor; Luis A Amaral; Mary Armanios; Karl T Kelsey; Annie Pardo; Rubin Tuder; Fernando Macian; Navdeep Chandel; Douglas Vaughan; Mauricio Rojas; Ana L Mora; Elizabeth Kovacs; Steven R Duncan; Toren Finkel; Augustine Choi; Oliver Eickelberg; Danica Chen; Alvar Agusti; Moises Selman; William E Balch; Paula Busse; Anning Lin; Richard Morimoto; Jacob I Sznajder; Victor J Thannickal
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2017-10-12       Impact factor: 6.053

6.  Gene expression profile of human airway epithelium induced by hyperoxia in vivo.

Authors:  Arnaud Chambellan; Paul J Cruickshank; Patrick McKenzie; Steven B Cannady; Katalin Szabo; Suzy A A Comhair; Serpil C Erzurum
Journal:  Am J Respir Cell Mol Biol       Date:  2006-05-11       Impact factor: 6.914

7.  Smoking reduces surfactant protein D and phospholipids in patients with and without chronic obstructive pulmonary disease.

Authors:  Jayaji M Moré; Dennis R Voelker; Lori J Silveira; Michael G Edwards; Edward D Chan; Russell P Bowler
Journal:  BMC Pulm Med       Date:  2010-10-25       Impact factor: 3.317

8.  Genes overexpressed in different human solid cancers exhibit different tissue-specific expression profiles.

Authors:  Jacob Bock Axelsen; Jacob Bock-Axelsen; Joseph Lotem; Leo Sachs; Eytan Domany
Journal:  Proc Natl Acad Sci U S A       Date:  2007-07-30       Impact factor: 11.205

9.  Intra- and inter-individual variance of gene expression in clinical studies.

Authors:  Wei-Chung Cheng; Wun-Yi Shu; Chia-Yang Li; Min-Lung Tsai; Cheng-Wei Chang; Chaang-Ray Chen; Hung-Tsu Cheng; Tzu-Hao Wang; Ian C Hsu
Journal:  PLoS One       Date:  2012-06-18       Impact factor: 3.240

10.  Alterations in gene expression of proprotein convertases in human lung cancer have a limited number of scenarios.

Authors:  Ilya V Demidyuk; Andrey V Shubin; Eugene V Gasanov; Alexander M Kurinov; Vladimir V Demkin; Tatyana V Vinogradova; Marina V Zinovyeva; Alexander V Sass; Irina B Zborovskaya; Sergey V Kostrov
Journal:  PLoS One       Date:  2013-02-07       Impact factor: 3.240

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