Deciphering Normal Blood Gene Expression Variation—The NOWAC Postgenome Study
There is growing evidence that gene expression profiling of peripheral blood cells is a valuable tool for assessing gene signatures related to exposure, drug-response, or disease. However, the true promise of this approach can not be estimated until the scientific community has robust baseline data describing variation in gene expression patterns in normal individuals. Using a large representative sample set of postmenopausal women (N = 286) in the Norwegian Women and Cancer (NOWAC) postgenome study, we investigated variability of whole blood gene expression in the general population. In particular, we examined changes in blood gene expression caused by technical variability, normal inter-individual differences, and exposure variables at proportions and levels relevant to real-life situations. We observe that the overall changes in gene expression are subtle, implying the need for careful analytic approaches of the data. In particular, technical variability may not be ignored and subsequent adjustments must be considered in any analysis. Many new candidate genes were identified that are differentially expressed according to inter-individual (i.e. fasting, BMI) and exposure (i.e. smoking) factors, thus establishing that these effects are mirrored in blood. By focusing on the biological implications instead of directly comparing gene lists from several related studies in the literature, our analytic approach was able to identify significant similarities and effects consistent across these reports. This establishes the feasibility of blood gene expression profiling, if they are predicated upon careful experimental design and analysis in order to minimize confounding signals, artifacts of sample preparation and processing, and inter-individual differences.
Vyšlo v časopise:
Deciphering Normal Blood Gene Expression Variation—The NOWAC Postgenome Study. PLoS Genet 6(3): e32767. doi:10.1371/journal.pgen.1000873
Kategorie:
Research Article
prolekare.web.journal.doi_sk:
https://doi.org/10.1371/journal.pgen.1000873
Souhrn
There is growing evidence that gene expression profiling of peripheral blood cells is a valuable tool for assessing gene signatures related to exposure, drug-response, or disease. However, the true promise of this approach can not be estimated until the scientific community has robust baseline data describing variation in gene expression patterns in normal individuals. Using a large representative sample set of postmenopausal women (N = 286) in the Norwegian Women and Cancer (NOWAC) postgenome study, we investigated variability of whole blood gene expression in the general population. In particular, we examined changes in blood gene expression caused by technical variability, normal inter-individual differences, and exposure variables at proportions and levels relevant to real-life situations. We observe that the overall changes in gene expression are subtle, implying the need for careful analytic approaches of the data. In particular, technical variability may not be ignored and subsequent adjustments must be considered in any analysis. Many new candidate genes were identified that are differentially expressed according to inter-individual (i.e. fasting, BMI) and exposure (i.e. smoking) factors, thus establishing that these effects are mirrored in blood. By focusing on the biological implications instead of directly comparing gene lists from several related studies in the literature, our analytic approach was able to identify significant similarities and effects consistent across these reports. This establishes the feasibility of blood gene expression profiling, if they are predicated upon careful experimental design and analysis in order to minimize confounding signals, artifacts of sample preparation and processing, and inter-individual differences.
Zdroje
1. TwineNC
StoverJA
MarshallB
DukartG
HidalgoM
2003 Disease-associated expression profiles in peripheral blood mononuclear cells from patients with advanced renal cell carcinoma. Cancer Res 63 6069 6075
2. TangY
NeeAC
LuA
RanR
SharpFR
2003 Blood genomic expression profile for neuronal injury. J Cereb Blood Flow Metab 23 310 319
3. GladkevichA
KauffmanHF
KorfJ
2004 Lymphocytes as a neural probe: potential for studying psychiatric disorders. Prog Neuropsychopharmacol Biol Psychiatry 28 559 576
4. AchironA
GurevichM
FriedmanN
KaminskiN
MandelM
2004 Blood transcriptional signatures of multiple sclerosis: unique gene expression of disease activity. Ann Neurol 55 410 417
5. SharmaP
SahniNS
TibshiraniR
SkaaneP
UrdalP
2005 Early detection of breast cancer based on gene-expression patterns in peripheral blood cells. Breast Cancer Res 7 R634 R644
6. BurczynskiME
TwineNC
DukartG
MarshallB
HidalgoM
2005 Transcriptional profiles in peripheral blood mononuclear cells prognostic of clinical outcomes in patients with advanced renal cell carcinoma. Clin Cancer Res 11 1181 1189
7. LampeJW
StepaniantsSB
MaoM
RadichJP
DaiH
2004 Signatures of environmental exposures using peripheral leukocyte gene expression: tobacco smoke. Cancer Epidemiol Biomarkers Prev 13 445 453
8. WangZ
NeuburgD
LiC
SuL
KimJY
2005 Global gene expression profiling in whole-blood samples from individuals exposed to metal fumes. Environ Health Perspect 113 233 241
9. AmundsonSA
DoKT
ShahabS
BittnerM
MeltzerP
2000 Identification of potential mRNA biomarkers in peripheral blood lymphocytes for human exposure to ionizing radiation. Radiat Res 154 342 346
10. DumeauxV
JohansenJ
Borresen-DaleAL
LundE
2006 Gene expression profiling of whole-blood samples from women exposed to hormone replacement therapy. Mol Cancer Ther 5 868 876
11. WildCP
2009 Environmental exposure measurement in cancer epidemiology. Mutagenesis 24 117 125
12. DebeyS
SchoenbeckU
HellmichM
GathofBS
PillaiR
2004 Comparison of different isolation techniques prior gene expression profiling of blood derived cells: impact on physiological responses, on overall expression and the role of different cell types. Pharmacogenomics J 4 193 207
13. EadyJJ
WortleyGM
WormstoneYM
HughesJC
AstleySB
2005 Variation in gene expression profiles of peripheral blood mononuclear cells from healthy volunteers. Physiol Genomics 22 402 411
14. FeezorRJ
BakerHV
MindrinosM
HaydenD
TannahillCL
2004 Whole blood and leukocyte RNA isolation for gene expression analyses. Physiol Genomics 19 247 254
15. McPhailS
GoralskiTJ
2005 Overcoming challenges of using blood samples with gene expression microarrays to advance patient stratification in clinical trials. Drug Discov Today 10 1485 1487
16. TannerMA
BerkLS
FeltenDL
BlidyAD
BitSL
2002 Substantial changes in gene expression level due to the storage temperature and storage duration of human whole blood. Clin Lab Haematol 24 337 341
17. ThachDC
LinB
WalterE
KruzelockR
RowleyRK
2003 Assessment of two methods for handling blood in collection tubes with RNA stabilizing agent for surveillance of gene expression profiles with high density microarrays. J Immunol Methods 283 269 279
18. WhitneyAR
DiehnM
PopperSJ
AlizadehAA
BoldrickJC
2003 Individuality and variation in gene expression patterns in human blood. Proc Natl Acad Sci U S A 100 1896 1901
19. RadichJP
MaoM
StepaniantsS
BieryM
CastleJ
2004 Individual-specific variation of gene expression in peripheral blood leukocytes. Genomics 83 980 988
20. CobbJP
MindrinosMN
Miller-GrazianoC
CalvanoSE
BakerHV
2005 Application of genome-wide expression analysis to human health and disease. Proc Natl Acad Sci U S A 102 4801 4806
21. DumeauxV
Borresen-DaleAL
FrantzenJO
KumleM
KristensenVN
2008 Gene expression analyses in breast cancer epidemiology: the Norwegian Women and Cancer postgenome cohort study. Breast Cancer Res 10 R13
22. LundE
DumeauxV
BraatenT
HjartakerA
EngesetD
2008 Cohort profile: The Norwegian Women and Cancer Study–NOWAC–Kvinner og kreft. Int J Epidemiol 37 36 41
23. DumeauxV
LundE
Borresen-DaleAL
2008 Comparaison of globin RNA processnig methods for genome-wide transcriptome analysis from whole blood. Biomarkers in Medicine 2 11 21
24. LundE
DumeauxV
2008 Systems epidemiology in cancer. Cancer Epidemiol Biomarkers Prev 17 2954 2957
25. MansmannU
MeisterR
2005 Testing differential gene expression in functional groups. Goeman's global test versus an ANCOVA approach. Methods Inf Med 44 449 453
26. GoemanJJ
van de GeerSA
deKF
van HouwelingenHC
2004 A global test for groups of genes: testing association with a clinical outcome. Bioinformatics 20 93 99
27. DennisGJr
ShermanBT
HosackDA
YangJ
GaoW
2003 DAVID: Database for Annotation, Visualization, and Integrated Discovery. Genome Biol 4 3
28. HuttenhowerC
HaleyEM
HibbsMA
DumeauxV
BarrettDR
2009 Exploring the human genome with functional maps. Genome Res 19 1093 1106
29. KanehisaM
GotoS
2000 KEGG: kyoto encyclopedia of genes and genomes. Nucleic Acids Res 28 27 30
30. ChenLS
StoreyJD
2008 Eigen-R2 for dissecting variation in high-dimensional studies. Bioinformatics 24 2260 2262
31. van LeeuwenDM
vanAE
GottschalkRW
VlietinckR
GielenM
2007 Cigarette smoke-induced differential gene expression in blood cells from monozygotic twin pairs. Carcinogenesis 28 691 697
32. ConnollyPH
CaiozzoVJ
ZaldivarF
NemetD
LarsonJ
2004 Effects of exercise on gene expression in human peripheral blood mononuclear cells. J Appl Physiol 97 1461 1469
33. FrasorJ
StossiF
DanesJM
KommB
LyttleCR
2004 Selective estrogen receptor modulators: discrimination of agonistic versus antagonistic activities by gene expression profiling in breast cancer cells. Cancer Res 64 1522 1533
34. BouwensM
AfmanLA
MullerM
2007 Fasting induces changes in peripheral blood mononuclear cell gene expression profiles related to increases in fatty acid beta-oxidation: functional role of peroxisome proliferator activated receptor alpha in human peripheral blood mononuclear cells. Am J Clin Nutr 86 1515 1523
35. LundE
KumleM
BraatenT
HjartakerA
BakkenK
2003 External validity in a population-based national prospective study–the Norwegian Women and Cancer Study (NOWAC). Cancer Causes Control 14 1001 1008
36. HjartakerA
AndersenLF
LundE
2007 Comparison of diet measures from a food-frequency questionnaire with measures from repeated 24-hour dietary recalls. The Norwegian Women and Cancer Study. Public Health Nutr 1 10
37. ParrCL
VeierodMB
LaakeP
LundE
HjartakerA
2006 Test-retest reproducibility of a food frequency questionnaire (FFQ) and estimated effects on disease risk in the Norwegian Women and Cancer Study (NOWAC). Nutr J 5 4
38. WaasethM
BakkenK
DumeauxV
OlsenKS
RylanderC
2008 Hormone replacement therapy use and plasma levels of sex hormones in the Norwegian Women and Cancer postgenome cohort - a cross-sectional analysis. BMC Womens Health 8 1
39. FryeRE
SchwartzBS
DotyRL
1990 Dose-related effects of cigarette smoking on olfactory function. JAMA 263 1233 1236
40. KatotomichelakisM
BalatsourasD
TripsianisG
DavrisS
MaroudiasN
2007 The effect of smoking on the olfactory function. Rhinology 45 273 280
41. SchlagerJJ
PowisG
1990 Cytosolic NAD(P)H:(quinone-acceptor)oxidoreductase in human normal and tumor tissue: effects of cigarette smoking and alcohol. Int J Cancer 45 403 409
42. OroszZ
CsiszarA
LabinskyyN
SmithK
KaminskiPM
2007 Cigarette smoke-induced proinflammatory alterations in the endothelial phenotype: role of NAD(P)H oxidase activation. Am J Physiol Heart Circ Physiol 292 H130 H139
43. JensenEJ
PedersenB
FrederiksenR
DahlR
1998 Prospective study on the effect of smoking and nicotine substitution on leucocyte blood counts and relation between blood leucocytes and lung function. Thorax 53 784 789
44. SchwartzJ
WeissST
1994 Cigarette smoking and peripheral blood leukocyte differentials. Ann Epidemiol 4 236 242
45. BadawiAF
HabibSL
MohammedMA
AbadiAA
MichaelMS
2002 Influence of cigarette smoking on prostaglandin synthesis and cyclooxygenase-2 gene expression in human urinary bladder cancer. Cancer Invest 20 651 656
46. BeloquiO
ParamoJA
OrbeJ
BenitoA
ColinaI
2005 Monocyte cyclooxygenase-2 overactivity: a new marker of subclinical atherosclerosis in asymptomatic subjects with cardiovascular risk factors? Eur Heart J 26 153 158
47. KapoorD
JonesTH
2005 Smoking and hormones in health and endocrine disorders. Eur J Endocrinol 152 491 499
48. KvaavikE
MeyerHE
TverdalA
2004 Food habits, physical activity and body mass index in relation to smoking status in 40–42 year old Norwegian women and men. Prev Med 38 1 5
49. TanakaS
InoueS
IsodaF
WasedaM
IshiharaM
1993 Impaired immunity in obesity: suppressed but reversible lymphocyte responsiveness. Int J Obes Relat Metab Disord 17 631 636
50. NiemanDC
HensonDA
Nehlsen-CannarellaSL
EkkensM
UtterAC
1999 Influence of obesity on immune function. J Am Diet Assoc 99 294 299
51. ZimmetP
TurnerR
McCartyD
RowleyM
MackayI
1999 Crucial points at diagnosis. Type 2 diabetes or slow type 1 diabetes. Diabetes Care 22 Suppl 2 B59 B64
52. SyedMA
Barinas-MitchellE
PietropaoloSL
ZhangYJ
HendersonTS
2002 Is type 2 diabetes a chronic inflammatory/autoimmune disease? Diabetes Nutr Metab 15 68 83
53. SchmidtMI
DuncanBB
SharrettAR
LindbergG
SavagePJ
1999 Markers of inflammation and prediction of diabetes mellitus in adults (Atherosclerosis Risk in Communities study): a cohort study. Lancet 353 1649 1652
54. PietropaoloM
Barinas-MitchellE
PietropaoloSL
KullerLH
TruccoM
2000 Evidence of islet cell autoimmunity in elderly patients with type 2 diabetes. Diabetes 49 32 38
55. LewisMR
TracyRP
2002 The role of the immune system in the insulin resistance syndrome. Curr Diab Rep 2 96 99
56. DhalluinC
CarlsonJE
ZengL
HeC
AggarwalAK
1999 Structure and ligand of a histone acetyltransferase bromodomain. Nature 399 491 496
57. ZengL
ZhouMM
2002 Bromodomain: an acetyl-lysine binding domain. FEBS Lett 513 124 128
58. KlugA
1999 Zinc finger peptides for the regulation of gene expression. J Mol Biol 293 215 218
59. GarfinkelMD
RudenDM
2004 Chromatin effects in nutrition, cancer, and obesity. Nutrition 20 56 62
60. LiL
YingL
NaesensM
XiaoW
SigdelT
2008 Interference of globin genes with biomarker discovery for allograft rejection in peripheral blood samples. Physiol Genomics 32 190 197
61. RainenL
OelmuellerU
JurgensenS
WyrichR
BallasC
2002 Stabilization of mRNA expression in whole blood samples. Clin Chem 48 1883 1890
62. DebeyS
ZanderT
BrorsB
PopovA
EilsR
2006 A highly standardized, robust, and cost-effective method for genome-wide transcriptome analysis of peripheral blood applicable to large-scale clinical trials. Genomics 87 653 664
63. LiuJ
WalterE
StengerD
ThachD
2006 Effects of globin mRNA reduction methods on gene expression profiles from whole blood. J Mol Diagn 8 551 558
64. LeekJT
StoreyJD
2007 Capturing heterogeneity in gene expression studies by surrogate variable analysis. PLoS Genet 3 e161 doi:10.1371/journal.pgen.0030161
65. LeekJT
StoreyJD
2008 A general framework for multiple testing dependence. Proc Natl Acad Sci U S A 105 18718 18723
66. TroyanskayaO
CantorM
SherlockG
BrownP
HastieT
2001 Missing value estimation methods for DNA microarrays. Bioinformatics 17 520 525
67. BenjaminiY
HochbergY
1995 Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal Statistical Society 57 289 300
Štítky
Genetika Reprodukčná medicínaČlánok vyšiel v časopise
PLOS Genetics
2010 Číslo 3
- Gynekologové a odborníci na reprodukční medicínu se sejdou na prvním virtuálním summitu
- Je „freeze-all“ pro všechny? Odborníci na fertilitu diskutovali na virtuálním summitu
Najčítanejšie v tomto čísle
- Deciphering Normal Blood Gene Expression Variation—The NOWAC Postgenome Study
- Papillorenal Syndrome-Causing Missense Mutations in / Result in Hypomorphic Alleles in Mouse and Human
- Fatal Cardiac Arrhythmia and Long-QT Syndrome in a New Form of Congenital Generalized Lipodystrophy with Muscle Rippling (CGL4) Due to Mutations
- HAP2(GCS1)-Dependent Gamete Fusion Requires a Positively Charged Carboxy-Terminal Domain